manipulation of the human circadian system with bright light and melatonin

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MANIPULATION OF THE HUMAN CIRCADIAN SYSTEM WITH BRIGHT LIGHT AND MELATONIN Stephen John Deacon, BSc Hons December 1994 A thesis submitted in accordance with the requirements of the University of Surrey for the degree of Doctor of Philosophy Endocrinology and Metabolism Group School of Biological Sciences University of Surrey GUILDFORD Surrey, GU2 SXH

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Page 1: manipulation of the human circadian system with bright light and melatonin

MANIPULATION OF THE HUMAN CIRCADIAN SYSTEM WITH BRIGHT LIGHT AND MELATONIN

Stephen John Deacon, BSc Hons

December 1994

A thesis submitted in accordance with the requirements of the University of Surrey for the degree of Doctor of Philosophy

Endocrinology and Metabolism Group School of Biological Sciences University of Surrey GUILDFORD Surrey, GU2 SXH

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This thesis is dedicated to my mother and late father,

Anne and Peter, and my brother Phil.

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ACKNOWLEDGEMENTS

Firstly, I would like to thank Lara Blann for her unlimited help,

encouragement and support, not to mention her considerable patience throughout this

work. I have thoroughly enjoyed being involved in a relatively new and rapidly

expanding field and I am very grateful to Prof. Josephine Arendt for her enormous

support, expert supervision and contagious enthusiasm for the field. In addition, I

am very grateful to her for encouraging me to attend conferences in many a foreign

land; a Cornishman has never seen so much of the world before !

I am indebted to Judie English for her unfailing support and advice in every

aspect of my work. I would also like to thank Benita Middleton and everyone else

in the Chronobiology laboratory for their help and for making my stay so enjoyable.

I am most grateful to Dr. J. Wright for clinical supervision of all trials and

to the following people for their technical help, advice and medical assistance: Dr.

J. Waterhouse, Dr. D. S. Minors (both at the University of Manchester), Dr. P.

Totterdell (University of Sheffield) and Prof. S. Folkard (University of Wales), Dr.

Sunil Sethi and Dr. Julie Lovegrove (both at the University of Surrey).

I would like to thank the Medical Research Council, the School of Biological

Sciences at the University of Surrey and especially Stockgrand Ltd. for funding my

studies and supporting my attendance at conferences and workshops. Stockgrand

Ltd. (University of Surrey) under the management of Prof. J. Arendt and Judie

English has provided enormous financial support without which much of this clinical

research could not be performed. Finally, but by no means least, a huge thank you to all subjects who took part

in these studies. Good subjects are worth their weight in gold, and I would like to

thank in particular those who were involved in the most arduous and `probing' of

studies, Lara Blann, Sandra and Francis Hill, Nicola Wootton, David Hall, Simon

Gamble, Sean and Julie Lovegrove, Alison Weaver, Mark Ruutel and Tim Marczylo.

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SUMMARY

The primary aim of this thesis was to develop an experimental model, as close

to real life as possible, to simulate circadian rhythm disturbances associated with jet

lag and shift work. This would then serve to investigate treatment strategies using

exogenous melatonin and bright light. A second aim was to study potential

mechanisms through which melatonin exerts its effects. However, before developing

such models and treatment strategies, it was important to validate a circadian rhythm

marker which gave a reliable assessment of the behaviour of the endogenous body

clock. Many hormones and other blood constituents have been shown to be

influenced by posture through the influence of gravity. Melatonin in plasma and

saliva was found to be concentrated by moving from a supine to a standing position,

and diluted after an opposite change in posture. The endogenous body temperature rhythm is more susceptible to masking

influences than melatonin. A purification method was employed to reduce masking

effects on the temperature rhythm after a simulated time-zone transition (in

collaboration with Drs. Waterhouse and Minors, University of Manchester, UK).

Masking led to overestimates in the rate of adaptation of the body temperature

rhythm. Such methods may provide a more accurate estimation of the behaviour of

the endogenous clock in a normal environment. A number of non-invasive techniques are employed to measure the melatonin

rhythm in saliva, and its metabolite, 6-sulphatoxymelatonin (aMT6s), in urine. These

various methods have not all been compared under phase-shifted conditions. Close

relationships between the calculated peak times of melatonin in plasma and saliva and

of aMT6s in urine, together with the plasma melatonin onset time were established.

In a partially controlled environment, appropriately timed bright light (- 1200

lux) and darkness (< 1 lux) in combination with a shift in the sleep/wake cycle facilitated the adaptation of the endogenous clock and behavioural functions to a

gradual 9h advance and delay phase-shift in external time cues within 3-5 days.

Subjects then resumed their baseline sleep/wake schedule in a normal environment,

thus experiencing a rapid 9h advance or delay phase-shift of local time cues.

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Adaptation of circadian rhythms and behavioural functions took longer to adapt to

advance phase-shifts than to delay shifts, underlining the preferred direction of

reentrainment of the biological clock. The administration of melatonin (5mg) near bedtime for 3 days after a rapid

9h advance phase-shift significantly improved sleep, alertness and performance

efficiency, even in the presence of bright light (2000 lux) timed to counteract the

phase-shifting effects of melatonin. Improvements using melatonin treatment were

observed within one day and before significant adaptation of the biological clock

occurred. In addition to a phase-shifting effect on the endogenous biological clock,

melatonin can induce acute temperature suppression and sleepiness. A significant

relationship was determined between melatonin-induced temperature suppression and

the subsequent phase-shift in the biological clock after administration of 5mg at 1700h. This relationship was further found to be dose-related, suggesting that acute

changes in body temperature by melatonin may be a primary event in phase-shifting

mechanisms. Significant sleepiness was only associated with pharmacological plasma

melatonin levels. With pharmacological doses, melatonin may exert its beneficial

effects on circadian rhythm disturbances through a combination of transient sedation,

temperature suppression and phase-shifting mechanisms.

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CONTENTS

Acknowledgements

Summary

List of Figures

List of Tables

List of Abbreviations

CHAPTER 1- INTRODUCTION

3

4

15

21

22

1.1 Consequences of biological rhythmicity 25

1.2 Control of biological rhythmicity 28

1.2.1 Location of the body clock 29

1.2.2 Neural projections between the SCN and the eye 30

1.2.3 The pineal gland 30

1.2.4 Neural projections from the SCN to the pineal gland 32

1.2.5 Cellular mechanisms of melatonin synthesis 32

1.2.6 Synthesis of melatonin 34

1.2.7 Other control mechanisms of melatonin synthesis 35

1.2.8 Melatonin secretion 37

1.2.9 Melatonin metabolism 38

1.2.10 Target sites and potential circadian effects of

melatonin action 40

1.2.11 Summary - potential physiological roles for melatonin 43

1.3 Factors affecting melatonin secretion 44

1.3.1 Light suppression of melatonin secretion in humans 44 1.3.1.1 Intensity of light exposure 1.3., 1.2 Timing of light exposure 1.3.1.3 Duration of light exposure 1.3.1.4 Wavelength of light exposure 1.3.2 Non-visible radiation 1.3.3 Changing day-length (photoperiod)

44

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46

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48

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1.3.4 Puberty

1.3.5 Advancing age 1.3.6 Normal menstrual cycle

1.3.7 Body size 1.3.8 Exercise/stress

1.3.9 Alcohol ingestion

51

52

54

54

55

56

1.3.10 Depression and seasonal affective disorder 57

1.3.11 Circadian rhythm disorders 58

1.4 Phase-shifting response of the human circadian system to bright

light and melatonin 59

1.4.1 Range of entrainment 59

1.4.2 Entrainment of the human circadian system to the

light/dark cycle 60

1.4.3 Phase-shifting effects of light 60

1.4.4 Phase-shifting effects of melatonin 64

1.5 Abrupt phase-shifts in local time cues 66

1.5.1 Jet lag 66

1.5.2 Shift-work 68

1.5.3 Susceptibility to jet lag and maladaptation to shift-work 69

1.5.3.1 Age 69

1.5.3.2 Circadian rhythm characteristics 69

1.5.3.3 Personality 70

1.6 Bright light and melatonin treatment for jet lag and shift-work 71

1.6.1 Bright light treatment for jet lag 71

1.6.2 Bright light treatment for shift-work 73

1.6.3 Melatonin treatment for jet lag 74

1.6.4 Melatonin treatment for shift-work 75

1.7 Bright light and melatonin treatment for SAD 76

1.8 Effects of exogenous melatonin on other sleep/wake disorders 77

1.8.1 Blindness 77

1.8.2 Sleep phase syndrome disorders 77

1.8.3 Insomnia 78

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1.9 Adverse effects of melatonin 79

1.9.1 Endocrinological effects 80

1.10 Acute effects of melatonin and bright light 81

1.10.1 Sedative effects of melatonin 81

1.10.2 Arousal/stimulating effects of bright light 82

1.10.3 Stimulating effect of bright light on body temperature 83

1.10.4 Acute effects of exogenous melatonin on temperature 84

1.11 Potential pharmacologic and behavioural treatment strategies for circadian rhythm disturbances 85

1.11.1 Manipulation of the sleep/wake cycle 85

1.11.2 Melatonin agonists and antagonists 85

1.11.3 Physical activity and hypnotics 87

1.12 Research proposal and aims of thesis 89

CHAPTER 2- CLINICAL CONSIDERATIONS PRIOR TO STUDIES.

PHYSIOLOGICAL AND BEHAVIOURAL MEASUREMENTS AND ANALYSIS

2.1 Clinical trials: general considerations 93

2.1.1 Subject criteria 93

2.1.2 Details of the melatonin preparation 94

2.1.3 Health and safety effects of light 95

2.2 Collection and storage of samples 96

2.3 Radioimmunoassay of melatonin and aMT6s 97

2.3.1 Basic principle and summary of procedure 97

2.3.2 RIA of melatonin in human plasma 98

2.3.3 RIA of melatonin in human saliva 102

2.3.4 RIA of 6-sulphatoxymelatonin in human urine 105

2.4 Light intensity measurement 108

2.5 Core body temperature recording 108

2.6 Activity diaries 108

2.7 Behavioural measurements 109

2.7.1 Mood and sleep quality ratings 110

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2.7.2 Sleep logs 110

2.7.3 Performance measurements: Search and memory (SAM) test 111

2.8 Cosinor analysis 112

CHAPTER 3- INFLUENCE OF POSTURE ON MELATONIN

CONCENTRATIONS IN PLASMA AND SALIVA

3.1 Introduction 117

3.2 Subjects and methods 118

3.2.1 Subjects 118

3.2.2 Design 119

3.2.3 Sampling 119

3.2.4 Statistical analysis 120

3.3 Results 121

3.4 Discussion 127

CHAPTER 4- INDUCING CIRCADIAN RHYTHM DISTURBANCES IN

PARTIAL ENVIRONMENTAL ISOLATION: AN INITIAL STUDY.

COMPARISON OF THE MELATONIN RHYTHM IN PLASMA, URINE AND

SALIVA BEFORE AND AFTER A FORCED PHASE SHIFT

4.1 Introduction 131

4.2 Subjects and methods 133

4.2.1 Subjects 133

4.2.2 Study design 134

4.2.3 Sampling 135

4.2.4 Behavioural measurements 137

4.2.5 Hormone assays 137

4.3 Statistical analysis 138

4.3.1 Hormonal and alertness rhythms 138

4.3.2 Sleep data and daily means for performance and alertness 138

4.4 Results 139

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4.4.1 Melatonin 139

4.4.2 Alertness 147

4.4.3 Performance 147

4.4.4 Sleep 148

4.5 Discussion 153

CHAPTER 5- INDUCING CIRCADIAN DISTURBANCES IN PARTIAL

ENVIRONMENTAL ISOLATION: A RAPID 9h ADVANCE PHASE-SHIFT

AFTER A GRADUAL 9h DELAY SHIFT

5.1 Introduction 160

5.2 Subjects and methods 161

5.2.1 Subjects 161

5.2.2 Study design 161

5.2.3 Sampling 165

5.2.4 Behavioural measurements 165

5.2.5 aMT6s assays 165

5.3 Statistical analysis 166

5.3.1 Temperature and aMT6s rhythms 166

5.3.2 Mood and performance rhythms 166

5.3.3 Sleep data and daily means for mood and performance 167

5.4 Results 167

5.4.1 Ambient light monitoring 168

5.4.2 Baseline 168

5.4.3 Gradual forced 9h delay phase-shift 172

5.4.4 Adaptation to a 9h rapid advance phase-shift (placebo treatment) 181

5.5 Discussion 188

5.5.1 Gradual 9h delay phase-shift 188

5.5.2 Rapid 9h advance phase-shift 190

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CHAPTER 6- INFLUENCE OF MELATONIN ON ADAPTATION TO A

LARGE RAPID ADVANCE PHASE-SHIFT IN THE PRESENCE OF

CONFLICTING BRIGHT LIGHT

6.1 Introduction 195

6.2 Subjects and methods 197

6.2.1 Subjects 197

6.2.2 Study design 197

6.2.3 Sampling 199

6.2.4 Behavioural measurements 199

6.2.5 Hormone assays 199

6.3 Statistical analysis 200

6.3.1 aMT6s and core body temperature profiles 200

6.3.2 Mood and performance daily means and sleep data 200

6.3.3 Mood and performance rhythms 200

6.4 Results 201

6.4.1 Ambient light monitoring 201

6.4.2 aMT6s 202

6.4.3 Temperature 202

6.4.4 Mood 202

6.4.5 Performance 207

6.4.6 Sleep 207

6.5 Discussion 216

CHAPTER 7- PURIFICATION OF THE CORE BODY TEMPERATURE

RHYTHM AFTER SIMULATED TIME ZONE TRAVEL

7.1 Introduction 222

7.2 Methods 224

7.2.1 Purification procedure 225

7.3 Statistical analysis 227

7.3.1 Baseline (D-2 to DO) 227

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7.3.2 Gradual 9h delay phase-shift (D 1 to D5) 227

7.3.3 Rapid 9h advance phase-shift (D6 to D11) 228

7.4 Results 229

7.4.1 Normal baseline conditions 229

7.4.2 Adaptation to a gradual 9h delay phase-shift 229

7.4.3 Adaptation to a rapid 9h advance shift 233

7.5 Discussion 239

7.5.1 Normal baseline conditions 239

7.5.2 Adaptation to a gradual 9h delay phase-shift 240

7.5.3 Adaptation to a rapid 9h advance phase-shift 241

CHAPTER 8- INDUCING CIRCADIAN RHYTHM DISTURBANCES IN

PARTIAL ENVIRONMENTAL ISOLATION: ADAPTATION TO A 9h DELAY

PHASE-SHIFT AFTER A GRADUAL 9h ADVANCE SHIFT

8.1 Introduction 247

8.2 Subjects and methods 248

8.2.1 Subjects 248

8.2.2 Study design 248

8.2.3 Sampling 251

8.2.4 Behavioural measurements 252

8.2.5 aMT6s 252

8.3 Statistical analysis 252

8.3.1 Temperature and aMT6s rhythms 252

8.3.2 Mood and performance rhythm 253 8.3.3 Sleep data and daily means for mood and performance 253

8.4 Results 254

8.4.1 Baseline 254

8.4.2 Adaptation to a gradual 9h advance phase-shift 258

8.4.3 Adaptation to a rapid 9h delay phase-shift 263

8.5 Discussion 272

8.5.1 Adaptation to a gradual 9h advance phase-shift 272

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8.5.2 Adaptation to a rapid 9h delay phase-shift 273

CHAPTER 9- ACUTE EFFECTS OF A SINGLE MELATONIN TREATMENT

ON CIRCADIAN PHASE, BODY TEMPERATURE AND BEHAVIOUR

9.1 Introduction

9.2 Subjects and methods 9.2.1 Subjects

9.2.2 Study design

9.2.3 Sampling and measurements 9.2.4 Hormone assay

9.3 Statistical analysis 9.4 Results

277

279

279

279

280

280

281

281

9.4.1 Acute effects of melatonin treatment (D3) 281

9.4.2 Delayed effects of melatonin (one day after treatment D4) 284

9.4.3 Relationship between temperature suppression, exogenous

melatonin levels and degree of shift 288

9.5 Discussion 290

CHAPTER 10 - DOSE-RESPONSE EFFECTS OF MELATONIN ON

CIRCADIAN PHASE, BEHAVIOUR AND TEMPERATURE SUPPRESSION

10.1 Introduction

10.2 Subjects and methods 10.2.1 Subjects

10.2.2 Preparation of melatonin/placebo 10.2.3 Study design

10.2.4 Sampling 10.2.5 Behavioural measurements 10.2.6 Melatonin assay

10.3 Statistical analysis 10.4 Results

293

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295

296

297

298

298

300

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10.4.1 Acute effects of melatonin treatment (D3) 300

10.4.2 Delayed effects of melatonin treatment (one day after

treatment, D4) 308

10.4.3 Relationship between individual degree of phase-shift

and magnitude of temperature suppression 315

10.4.4 Relationship between individual exogenous plasma melatonin levels, temperature suppression and degree of phase-shift 315

10.5 Discussion 317

CHAPTER 11 - GENERAL DISCUSSION

11.1 Determining the behaviour of the endogenous body clock 323

11.1.1 Masking 323

11.2.2 Different markers of melatonin secretion 324

11.2 An experimental model to study adaptation strategies 326

11.2.1 Adaptation to gradual phase-shifts 326

11.2.2 Adaptation to rapid shifts - simulation of jet lag and

maladaptation to shift work 328

11.2.3 Preferred direction of adaptation 328

11.3 Effects of bright light and melatonin during adaptation to rapid

phase-shifts 329

11.4 Repeated melatonin administration 330

11.5 Mechanisms of action of melatonin 331

11.5.1 Phase-shifting effect on the biological clock 331

11.5.2 `Hypnotic' effects 332

11.6 Masking or cue for entrainment? 334

11.7 Relationship between the acute effects and phase-shifting

properties of melatonin and bright light 335

11.8 Future work 337

PUBLICATIONS AND PRESENTATIONS REFERENCES

341 344

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LIST OF FIGURES

CHAPTER 1

1.1 Schematic representation of the neural pathway between light

perception in the eye and the pineal gland 31

1.2 Schematic diagram showing neural pathway from light/darkness

input to melatonin 33

1.3 Synthesis of melatonin 36

1.4 Major melatonin metabolism pathways in the liver 39

1.5 Human phase-response curves for bright light and melatonin 63

CHAPTER 2

2.1 Parameters of a circadian rhythm

CHAPTER 3

113

3.1 Immediate effect of posture on plasma and salivary melatonin levels in alternate postural positions 123

3.2 Long-term effects of posture on plasma melatonin levels 125

3.3 Long-term effects of posture on salivary melatonin levels 126

CHAPTER 4

4.1 Diagrammatic design of the study 134

4.2 Circadian plasma melatonin profiles before and after a forced

phase-shift 142

4.3 Urinary aMT6s circadian profiles before and after a forced phase-shift 143

4.4 Circadian melatonin profiles in saliva before and after a forced

phase-shift 144

4.5 Relationship between acrophase estimates for melatonin, aMT6s,

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alertness and melatonin onset time 145

4.6 Alertness daily means and acrophase estimates before, during

and after a forced phase-shift 149

4.7 Subjective alertness profiles before and after a forced phase-shift 150

4.8 Performance measures before, during and after a forced phase-shift 151

4.9 Subjective sleep parameters before, during and after a forced

phase-shift 152

CHAPTER 5

5.1 Diagrammatic design of the study 164

5.2 aMT6s profiles before and during a gradual 9h delay phase-shift 169

5.3 Temperature profiles before and during a gradual 9h delay phase-shift 170

5.4 Alertness profiles before and during a gradual 9h delay phase-shift 171

5.5 Acrophases of the aMT6s and temperature rhythms during a gradual 9h delay phase-shift 173

5.6 Adaptation of the alertness rhythm during a gradual delay

phase-shift 174

5.7 Adaptation of the SAM-1 response time performance rhythm during

a gradual delay phase-shift 175

5.8 Adaptation of the SAM-5 response time performance rhythm during

a gradual delay phase-shift 176

5.9 Daily means for mood before and during a gradual 9h delay

phase-shift 177

5.10 Subjective sleep measures during a gradual forced 9h delay

phase-shift 178

5.11 Daily means for SAM-1 performance measures before and during

a gradual forced 9h delay phase-shift 179

5.12 Daily means for SAM-5 performance measures before and during

a gradual forced 9h delay phase-shift 180

5.13 Adaptation of sleep to a rapid 9h advance phase-shift 182

5.14 Adaptation of mood to a rapid 9h advance phase-shift 183

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5.15 Adaptation to a rapid 9h advance phase-shift: daily mean

performance 184

5.16 Adaptation of aMT6s and temperature rhythms to a rapid 9h advance

phase-shift 185

5.17 Adaptation of the temperature to a rapid 9h advance phase-shift 186

5.18 Direction of re-entrainment of individual aMT6s rhythms after a rapid 9h advance phase-shift 187

CHAPTER 6

6.1 Diagrammatic design of the study 198

6.2 Effect of melatonin and bright light on aMT6s profiles during adaptation

to a rapid 9h advance phase-shift 203

6.3 Effect of melatonin and bright light on the adaptation of the aMT6s

acrophase to a rapid 9h advance phase-shift 204

6.4 Influence of melatonin and bright light on the adaptation of the

temperature rhythm to a rapid 9h advance phase-shift 205

6.5 Effect of melatonin and bright-light on the adaptation of the temperature

cosinor rhythm to a rapid 9h advance phase-shift 206

6.6 Influence of melatonin and bright-light on the adaptation of mood

to a rapid 9h advance phase-shift 208

6.7 Influence of melatonin and bright-light on the adaptation of the

alertness rhythm to a rapid 9h advance phase-shift 209

6.8 Influence of melatonin and bright-light on the adaptation of the

alertness cosinor rhythm to a rapid 9h advance phase-shift 210

6.9 Influence of melatonin and bright-light on the adaptation of SAM-1

performance to a rapid 9h advance phase-shift 211

6.10 Influence of melatonin and bright-light on the adaptation of SAM-5

performance to a rapid 9h advance phase-shift 212

6.11 Influence of melatonin and bright-light on the adaptation of SAM-1

performance cosinor rhythm to a rapid 9h advance phase-shift 213

6.12 Influence of melatonin and bright-light on the adaptation of SAM-5

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performance cosinor rhythm to a rapid 9h advance phase-shift 214

6.13 Influence of melatonin and bright-light on the adaptation of sleep

to a rapid 9h advance phase-shift 215

CHAPTER 7

7.1 Purification of the core body temperature rhythm 230

7.2 Comparison of the rate of adjustment between the aMT6s and

temperature (raw and purified) rhythms to a gradual 9h delay shift 231

7.3 Relationship between the rate of adaptation of purified and raw

temperature rhythms and the aMT6s rhythm to a gradual 9h delay

phase-shift 232

7.4 Effect of purification on the temperature rhythm amplitude during a

gradual 9h delay phase-shift 234

7.5 Effect of purification on the rate of adjustment of the temperature

rhythm to a rapid 9h advance phase-shift 235

7.6 Effect of purification on the rate of adjustment of the temperature

rhythm amplitude to a rapid 9h advance phase-shift 237

7.7 Effect of melatonin and bright light on the adaptation of the purified

body temperature rhythm 238

CHAPTER 8

8.1 Diagrammatic design of the study 250

8.2 Temperature profiles before and during a gradual 9h advance

phase-shift 255

8.3 Adaptation of the urinary aMT6s rhythm to a gradual 9h advance

phase-shift 256

8.4 Alertness profiles before and during a gradual 9h advance phase-shift 257

8.5 Acrophases of aMT6s and temperature rhythms during a gradual 9h

advance phase-shift 259

8.6 Adaptation of mood to a gradual 9h advance phase-shift 260

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8.7 Adaptation to a gradual 9h advance phase-shift: daily mean

performance 261

8.8 Adaptation of sleep to a gradual 9h advance phase-shift 262

8.9 Alertness profiles during adaptation to a rapid 9h delay phase-shift 264

8.10 Adaptation of mood to a rapid 9h delay phase-shift 265

8.11 Adaptation to a rapid 9h delay phase-shift: daily mean performance 266

8.12 Adaptation of sleep to a rapid 9h delay phase-shift 267

8.13 Adaptation of the temperature rhythm to a rapid 9h delay phase-shift 268

8.14 Adaptation of aMT6s and temperature rhythm to a rapid 9h delay

phase-shift 269

8.15 Adaptation of the urinary aMT6s rhythm five days after a rapid 9h

delay phase-shift 270

8.16 Direction of reentrainment of individual masked temperature rhythms

after a rapid 9h delay phase-shift 271

CHAPTER 9

9.1 Saliva concentrations of melatonin after ingestion of 5mg

of melatonin taken orally in gelatin/lactose capsules 282

9.2 Acute effects of 5mg melatonin on body temperature and alertness 283

9.3 Acute phase-shifting effect of 5mg melatonin treatment on the

endogenous melatonin rhythm one day after treatment 285

9.4 Influence of melatonin on the body temperature nadir during the

second night after late afternoon treatment 286

9.5 Effect of late afternoon melatonin treatment on sleep the

following night 287

9.6 Relationship between individual degree of phase-shift and

temperature suppression 289

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CHAPTER 10

10.1 Plasma concentrations of melatonin after ingestion of low doses of

melatonin taken orally in corn oil 302

10.2 Acute dose-dependent suppression of body temperature by melatonin 303

10.3 Dose-dependent decrease in subjective alertness immediately after

melatonin treatment 304

10.4 Acute dose-dependent effects of melatonin on performance accuracy 306

10.5 Acute dose-dependent effects of melatonin on performance efficiency 307

10.6 Dose-response relationship between oral melatonin and degree of

phase-shift in melatonin rhythm one day after treatment 310

10.7 Dose-dependent phase advance in the temperature nadir during the

second night after melatonin treatment 311

10.8 Delayed effects of low oral doses of melatonin on the alertness rhythm

one day after treatment 312

10.9 Dose-dependent effects on sleep on the first night following melatonin

treatment. 314

10.10 Relationship between individual degree of phase-shift and temperature

suppression 316

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LIST OF TABLES

Table 2.1 Percent side-effects reported more than once after taking

5mg melatonin to alleviate jet lag (from 1984 to Nov. 1994) 95

Table 3.1 Mean ± SD difference and range in % change in melatonin

levels between standing and supine positions. 124

Table 4.1 Correlation and linear regression analysis of acrophase

estimates between plasma melatonin, salivary melatonin

and urinary aMT6s, together with plasma melatonin onset 146

Table 7.1 Individual differences in purified temperature acrophase

estimates (in hours) from mean baseline (D-2 to DO) during

adaptation to a 9h advance phase-shift. 236

Table 10.1 Acute effects of melatonin treatment 305

Table 10.2 Delayed effects of melatonin treatment 313

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LIST OF ABBREVIATIONS

aMT6s 6-sulphatoxymelatonin

ANOVA Analysis of variance AUC Area under the curve

cAMP cyclic 3', 5'-adenosine monophosphate

D Day of study DGDW Double glass distilled water

EEG Electroencephalogram

F Female

FDA Food and drug administration

GABA Gamma-aminobutyric acid

h Hours

5-HT 5-Hydroxytrypamine

HIOMT Hydroxy-O-methyltransferase

ICER Inducible cAMP early repressor

IGL Intergeniculate leaflet

LSN Lateral septal nucleus

LH Luteinizing hormone

M Male

MT Melatonin

N Night of study

NA Noradrenaline

NAS N-acetylserotonin

NAT N-acetyltransferase

NREM Non-rapid eye movement

ns Non significant

PPO 2,5-diphenyloxazole

POPOP 1,4-bis-[2-(5-phenyloxazolyl)]benzene

PRC Phase-response curve

PVN Paraventricular nucleus

REM Rapid eye movement

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RHT Retinohypothalamic tract

RIA Radioimmunoassay

SAD Seasonal affective disorder

SAM Search and memory test

SCG Superior cervical ganglion SCN Suprachiasmatic nuclei

SD Standard deviation

SEM Standard error of the mean UV Ultraviolet

VAS Visual analogue scale

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Tempora mutantur, et nos mutwnur in illis

Times change, and we change with them LYLY F. uphues 1.1578

CHAý. ''rER 1 INTRODUCTION

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1.1 CONSEQUENCES OF BIOLOGICAL RHYTHMICITY

Most organisms are able to predict and adapt to changes in the environment,

phenomena that are essential to their survival and well-being in an ever changing and

often unfriendly environment. From the unicellular flagellate to the higher vertebrate

this anticipation and response to timed events in the environment is important in

preparing the organism for a variety of events such as waking and activity throughout

the day, `winding down' in preparation for sleep at night, reproductive function and

hibernation at certain times of year.

These preparations are brought about by various rhythms in physiological and

behavioural functions. The phase (time) relationship between various rhythms and

the environment needs to be coordinated so that the correct biological response occurs

at the right time of day or year. For example, for animals that breed only once a

year, it is vitally important that heightened reproductive function coincides in both

males and females so that the offspring may be born at the optimum time of year for

survival.

In the absence of all environmental influences, many biological rhythms still

persist but `free-run' with slightly different periodicities. It is because of this

endogenous nature of biological rhythms that organisms are considered to have an

internal rhythm-generating system or a biological clock. Possession of an inherent

body clock allows the measurement of environmental time so that the body can

predict regular external changes instead of just reacting to them, allowing an optimum

response. The most prominent endogenous rhythms are those related to the daily 24

hour light-dark cycle. In humans, the endogenous biological timing system free-runs

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with a period of close to 25 hours, hence the term "circadian", from the latin circa -

about and dies - day (Aschoff, 1965; Wever, 1979,1983,1986; Lewy and

Newsome, 1983; Kennaway and Van Dorp, 1991). A 25h internal clock is obviously

an inaccurate forecaster of daily (24h) changes in the environment. Hence, stable

synchronization of the endogenous biological clock to the environment depends on

external synchronising factors or time cues, such as temperature, humidity, social

cues and the light/dark cycle. Many of these rhythms are entrained to 24 hours

mainly by the daily light/dark cycles. This ability of the circadian system to be

influenced by external zeitgebers also allows the body to adapt to changes or phase-

shifts in environmental time.

Human beings are unique in that they consciously and repeatedly alter their

daily schedules to suit their own particular lifestyles, overriding the natural

mechanisms which influence the rhythmicity of the circadian timing system. The

natural tendency to fall asleep at times of great propensity, which so many organisms

are powerless against, can be stalled until either the urge to sleep becomes

overwhelming and sleep becomes inevitable, or the disruption of the sleep pattern

becomes permanent through continual change and the individual may begin to suffer

from a sleep disorder. This conscious decision to change the timing of retiring to bed

and waking up is invaluable to many individuals especially in the modern world

where they may have to work night shifts or fly to a new time zone. However, there

is a price to pay.

Abrupt shifts in local time cues or zeitgebers can result in various rhythmic

functions becoming out of phase with each other and the external environment. The

natural tendency of the internal body clock to adapt to such changes is gradual and

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slow. It may take days or even weeks for some circadian rhythms to resynchronize

to a large phase-shift. As a consequence, the predictive ability of the body clock

becomes transiently affected with deleterious effects on human physiology and

behaviour. For example, humans can become sluggish, cold and sleepy during

waking hours when starting on a new night shift because the circadian timing system

has prepared the body for rest and sleep. Subsequent decrements in performance and

alertness can increase the risk of accidents or errors which may reduce productivity

and safety. Since shift workers include air-traffic controllers, nuclear submarine and

power plant operators, emergency doctors and intensive care nurses, it is important

to understand circadian rhythms in the work place not just from an ergonomic point

of view but also a safety one. In addition, disturbances in the circadian system have

been identified in a number of disorders. Treatment strategies to facilitate the

adaptation or resetting of biological rhythms are therefore of enormous value.

Light (and darkness) together with the hormone melatonin are closely involved

with the circadian timing system and have been proposed as potential treatments for

circadian rhythm disorders.

This chapter will review current knowledge on the structure, organisation and

regulation of the circadian timing system, with particular emphasis on the melatonin

circadian rhythm, and its influences on human physiology and behaviour.

Disturbances in this pacemaker system will then be discussed, with a review of

potential treatment strategies concentrating on the use of light and melatonin. There

are a number of other more immediate effects of light and melatonin on human

physiology and behaviour, which may or may not be related to their ability to

influence the circadian timing system, which will also be discussed. Finally, the

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melatonin secretory rhythm is used as a circadian rhythm marker of the internal

biological clock and exogenous factors affecting this rhythm will be described.

1.2 CONTROL OF BIOLOGICAL RHYTHMS

There is accumulating evidence for a multioscillatory structure of the circadian

system in rodents and humans coupled through the suprachiasmatic nuclei of the

hypothalamus (SCN). In everyday conditions all circadian rhythms such as the

sleep/wake cycle, body temperature and melatonin are synchronized or entrained with

each other and environmental time. In conditions free from environmental time cues

and where the sleep/wake cycle is altered, the temperature and sleep/wake rhythms

may dissociate from one another with different free-running periods of approximately

24.5h and 33h, respectively (Aschoff, 1965; Wever, 1979). Other physiological

rhythms can assume a periodicity associated with either the temperature or sleep/wake

rhythm (Moore-Ede et al, 1983).

Evidence for the involvement of two subsidiary oscillators controlling the

circadian timing system has been used by Pittendrigh and Daan (1976) and Illnerovä

and Vanecek (1982), to describe the response of animals to photoperiodic changes in

the environments. One oscillator, the morning or "dawn" oscillator is thought to

regulate the transition between night and day and control the offset of melatonin

secretion. The other oscillator, the evening or "dusk" oscillator, may trigger the

onset of melatonin secretion by controlling the transition between day and night, see

section 1.3.3. In humans there is, however, an indication of a third pacemaker which

drives endogenous memory performance rhythms with an inherent period of 21 hours

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(Folkard et al, 1983), thus underlining the complex nature of the system. However,

the available evidence at present indicates that all circadian rhythms, with the

exception of visual sensitivity (Terman and Terman, 1985) and activity anticipatory

to feeding (Krieger et al, 1977; Stephan et al, 1979; Boulos et al, 1980; Clarke and

Coleman, 1986), are abolished by SCN lesions.

1.2.1 Location of the body clock

The SCN, located at the base of the hypothalamus in close proximity to the

optic chiasm, are thus thought to be the site of the major circadian pacemaker.

Surgical isolation of SCN cells from other parts of the brain leaves a persistent

circadian rhythm of neural activity in the SCN which is no longer found in other parts

of the brain (Inouye and Kawamura, 1979). In vitro, SCN cells generate a 24 hour

rhythm in neural activity (Green and Gillette, 1982; Groos and Hendriks, 1982).

Taken together, these studies indicate that if there are no biochemical, neural or

thermal effects influencing the isolated SCN, then the SCN must have a self-contained

oscillator (at least in rodents).

Neural transplantation procedures have provided further support that the

circadian timing system originates from within the SCN. Circadian rhythmicity

reappears after foetal SCN tissue is transplanted into rodents with their SCN

destroyed (Lehman et al, 1987; Sawaki et al, 1984; Drucker-Colin et al, 1984). In

addition, transplanting SCN tissue from hamster mutants with an endogenous

circadian period of 20 or 22 hours (instead of the typical 24 hours), into hamsters

whose own 24 hour clock has been destroyed, will restore rhythmicity that reflects

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the donor's circadian period (Ralph et al, 1990).

1.2.2 Neural Projections between the SCN and the eye

The SCN receive time of day information from the light-dark cycle through

monosynaptic optical pathways from the retina mainly via the retinohypothalamic tract

(RHT), but also from the intergeniculate leaflet (IGL) of the lateral geniculate body

(the geniculohypothalamic tract) (Moore, 1973; Pickard et al, 1987). If these

connections are destroyed the circadian rhythms lose their entrainment and free-run

(Rusak, 1977). Potential neurotransmitters thought to be involved in conveying

light/dark signals via the RHT include glutamate and possibly acetylcholine (Earnest

and Turek, 1985; Keefe et al, 1987; Meijer et al, 1988). Connections from the IGL

to SCN consist of mainly gamma-aminobutyric acid fibres and projections which

contain the neurotransmitter neuropeptide Y (Moore and Speh, 1993). Other

neurotransmitters such as 5-hydroxytryptamine (5-HT), vasoactive intestinal peptide

and vasopressin have also been suggested as mediators of photic information

(Reghunandanan et al, 1993).

1.2.3 The Pineal Gland

The end organ of this visual system of photoperiodic time measurement is the

pineal gland which releases the hormone melatonin (N-acetyl-5-methoxytryptamine),

during darkness in an entrained individual (Wurtman et al, 1963). There are other

secretory products of the pineal gland which include other indoles and peptides which

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Figure 1.1 Schematic Representation of the Neural Pathway between Light Perception in the Eye and the

Pineal Gland.

Paraventricular Nucleus

Suprachiasmatic nucleus

Eye

Chiasm

Brainstem

Pineal Gland

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may have biological activity (Pevet, 1983a, 1983b), but their significance is as yet

unclear.

1.2.4 Neural projections from the SCN to the pineal gland

The neural connections which link the SCN to the pineal gland was first

demonstrated by Berk and Finklestein (1981) and Stephan et al (1981) who identified

projections from the SCN to the paraventricular nucleus of the hypothalamus (PVN)

with further projections leading into the sympathetic chain of the spinal cord and

synapsing in the superior cervical ganglion (SCG), Figure 1.1. Post-ganglionic

sympathetic nerves from the SCG release noradrenaline (NA) which acts through

adrenergic receptors on the pineal gland cell (pinealocyte) membrane to stimulate the

production melatonin. Destruction and stimulation of this pathway has confirmed its

neural role in melatonin production (Klein et al, 1983; Yanovski et al, 1987).

1.2.5 Cellular mechanisms of melatonin synthesis

During the day, light stimulates the activity of the SCN which ultimately

inhibits the release of noradrenaline (NA) from sympathetic neurons in the pineal

gland. However, at night this inhibitory influence ceases and NA is released (Wolfe

et al, 1962; Brownstein and Axelrod, 1974) and interacts with specific adrenergic

receptors on the pinealocytes to stimulate the production of melatonin, Figure 1.2

(Parfitt et al, 1976).

On interaction with the 81-adrenergic receptor, adenylate cyclase is stimulated

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Figure 1.2 Schematic diagram showing neural pathway from light/darkness input to melatonin secretion

Light/ Eye darkness

y

Pineal gland

Spinal Cord

Tryptophan

'Serotonin I N-Uc'c tyl

trujr. 5fýrusý. ý

N-acetyl serotonin

I Hyclro-gillclcyle-o-

ý ýnýiel! 1 ýI ýl/raii.

iý /erase ýf.

Hypothalamus

N-acetvl Beta I transferase A<-r-m adreriergic synthesis receptor

L Alpha x adrelleTgic receptor

Superior cervical ganglion

`1 Noradrenalin release from

nerve terminal

*0)

Page 34: manipulation of the human circadian system with bright light and melatonin

via a guanine nucleotide-binding regulatory protein, resulting in an increase in the

intracellular second messenger cyclic 3', 5'-adenosine monophosphate (CAMP,

Axelrod and Zatz, 1977). Elevated levels of cAMP stimulate the production of N-

acetyltransferase (NAT) which is usually the rate limiting step in the production of

melatonin (Klein et at, 1970). There is also activation of an a, -adrenergic receptor

by NA which increases intracellular Cat+, stimulating protein kinase C. This in turn

amplifies the activation of cAMP and so augments the production of NAT (Sugden

et at, 1985a, 1985b; Sugden et at, 1987; Vanacek et at, 1985) through a mechanism

involving gene transcription and translation. A third adrenergic receptor (a2) has

been identified recently in the mammalian pineal gland but its involvement is

uncertain (Simonneaux et at, 1991; Schaad and Klein, 1992).

Recently, rhythmic circadian control of gene expression has been demonstrated

in the pineal gland. Stehle et at (1993) have identified a potent regulator of cAMP-

induced gene transcription known as ICER (inducible cAMP early repressor) which

shows high levels during the night and low levels in the day. It is suggested that

ICER may regulate NAT activity by repressing NAT gene expression (Takahashi,

1993).

1.2.6 Synthesis of melatonin

Melatonin is synthesized primarily in the pineal gland although synthesis also

occurs in the retina (Pang et al, 1977; Vakkuri et al, 1987), the Harderian gland

(Pang et al, 1977; Menendez-Pelaez et al, 1987) and the gut (Raikhlin et al, 1975;

Huether et al, 1992; Yaga et al, 1993). However, in mammals the amount of

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melatonin produced from these non-pineal sources is considered to be small and

probably used locally since in most studies removal or destruction of the pineal results

in plasma levels or levels of its metabolite in urine which are undetectable by

radioimmunoassay (Arendt et at, 1980; Lincoln et at, 1981; Bittman et at, 1983a, b)

or gas chromatography - mass spectrometry (Markey and Buell, 1982; Tetsuo et at,

1982; Neuwelt and Lewy, 1983).

Melatonin is synthesized from its precursor 5-HT which is formed by

hydroxylation and decarboxylation of the amino acid, tryptophan (Axelrod, 1974),

Figure 1.3. The rise in NAT activity during the night through sympathetic

innervation from the SCN then converts serotonin to N-acetylserotonin (NAS,

Weissbach et at, 1961); NAT catalyses the rate limiting step in the production of

melatonin (Klein and Weller, 1970; Klein, 1979). Elevated levels of a second

enzyme, hydroxy-O-methyltransferase (HIOMT), during the night catalyses the

conversion of NAS to melatonin (Axelrod and Weissbach, 1960).

Practically every aspect of melatonin's synthesis and release is rhythmic

(Klein, 1979), even regulation of gene expression of the rate limiting enzyme (Stehle

et at, 1993).

1.2.7 Other control mechanisms of melatonin synthesis

A number of receptor sites have been identified on the pineal gland for

glutamate, gamma-amino-n-butyric acid (GABA), 5-HT, benzodiazepines, dopamine,

steroid hormones and prostaglandins but their function remains unknown (Cardinali

and Vacas, 1978; Cardinali and Ritta, 1983; Ebadi and Govitrapong, 1986). In vivo,

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Figure 1.3 Synthesis of Melatonin

CH2CH(NH2)0O0H

TRYPTOPHAN

H I 7iyptophan hydroxylase

i HO CH2CH(NH2)COOH

5-HYDROXYTRYPTOPHAN

H I

Aromatic amino acid decarboxylase

HO + CH2CH2NH2

SEROTONIN (5-hydroxyttyptamine)

H

N-acetyltransferase i

HO _I CH2CH2NHCOCH3

N-ACETYLSEROTONIN (5-hydroxy-N-acetylthyptamine)

H I

Hydroxyindole-O-methyltransferase

CH3o CH2CH2NHCOCH3

MELATONIN (5-metho)cy-N-acetylhyptamine)

H

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the hormonal modulation of melatonin synthesis appears to have a negligible effect

(Champney et al, 1985,1986).

1.2.8 Melatonin secretion

The melatonin profile in peripheral blood is a good reflection of pineal

melatonin synthesis at almost the same time (Wilkinson et al, 1977; Illnerovä et al,

1978), since the pineal gland releases the indole directly and primarily into the blood

stream rather than the cerebral spinal fluid, with minimal storage (Rollag et al, 1978;

Pang, 1985). Highly lipophilic in nature, melatonin is readily diffusible and rapidly

distributed throughout all tissues (Kopin et al, 1961).

The secretory rhythm of melatonin is characterised by an onset of secretion

in humans around 2100-2200h, rising to a peak around 0200-0300h and falling to

daytime levels around 0800-0900h in the morning. The melatonin secretory rhythm

is a strongly inherent rhythm, persisting in the absence of all environmental time cues

with endogenous periodicity of close to 25h (Lewy and Newsome, 1983; Arendt et

al, 1985a; Wever, 1986; Kennaway and Van Dorp, 1991). The timing of the free-

running rhythm is very precise and the start of its production can sometimes be

predicted in advance with an accuracy of within 30 minutes (Lewy and Newsome,

1983). The shape, period and amplitude of the plasma melatonin circadian rhythm

is highly reproducible in healthy individuals entrained to 24h (Broadway et al, 1987),

and may therefore provide a reliable indication of the behaviour of the internal

biological clock.

A measurable melatonin rhythm may not however be essential for the well-

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being of an individual. Some people exhibit very low levels of melatonin (< 10

pg/ml) in the plasma without any apparent detrimental effects on the circadian system

or health (Arendt et al, 1985). Since probable melatonin receptors have been

identified in the human hypothalamus pineal melatonin may act locally in much lower

concentrations in these individuals.

1.2.9 Melatonin metabolism

In humans, the metabolism of melatonin occurs predominantly in the liver to

form 6-hydroxymelatonin and N-acetylserotonin, which are then excreted in the urine

as conjugates of the glucuronide or sulphate (Jones et al, 1969; Young et al, 1985),

Figure 1.4. Vakkuri et al (1987) identified a further metabolite, a cyclic isomer of

2-hydroxymelatonin, which accounted for 5% of the total urinary melatonin

metabolites after ingestion of 100mg exogenous melatonin. In rabbits, a different

pathway exists in the central nervous system whereby cleavage of the indole ring

results in the formation of kynuranamines (Hirata et al, 1974).

The end products of melatonin metabolism found in urine provide a means of

measuring a related substance which reflects melatonin output from the pineal in a

non-invasive and practical way. aMT6s is a good index of plasma melatonin

secretion in both timing and amplitude (Bojkowski et al, 1987b).

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Figure 1.4 Major Melatonin Metabolism Pathways in the Liver

HO CH2CH2NH0O0H3 CH3O

H

5-Hydroxy-N-acetyltryptamine (N-acetylserotonin)

H MELATONIN

COCH3 Cyclic 2-hydroxymelatonin

CH2CH2NHCOCH3

6-Hydroxymelatonin

CH2CH2NHCOCH3 6-Sulphatoxymelatonin

(59-79%)

6-Glucuronide Melatonin (13-29%)

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1.2.10 Target sites and potential circadian effects of melatonin action

The SCN has been proposed as a site for the actions of melatonin to feedback

onto the pacemaker and regulate the circadian timing system (e. g. Cassone, 1991).

In mammals, high affinity melatonin binding sites have been characterised most

frequently in the SCN of the hypothalamus, the pars tuberalis of the pituitary gland

and the retina (Dubocovich, 1988; Carlson et al, 1989; Duncan et al, 1989; Morgan

et al, 1989; Weaver et al, 1989; Cassone, 1991). Human adult and foetal SCN tissue

are also reported to contain such putative melatonin receptors (Reppert et al, 1988;

Weaver et al, 1993). The high affinity melatonin binding site is associated with at

least one signal transduction mechanism involving regulatory G-proteins and therefore

provides a functional role for this binding site (Carlson et al, 1989; Morgan et al,

1989a, b; Rivkees et al, 1989; Laitinen and Saavedra, 1990; Stankov et al, 1992).

High affinity, specific melatonin binding sites comparable to those found in the

chicken retina have been proposed as ML-1 type receptors (Dubocovich, 1988).

There are lower affinity sites which are pharmacologically distinct from the ML-1

type receptor and Dubocovich (1988) has proposed that these sites may be referred

to as ML-2 sites. However, there is no evidence of separate physiological roles for

these sites as yet. A daily rhythm for high affinity melatonin receptors in the SCN

has also been described (Laitinen et al, 1989).

A possible feedback response of melatonin on the biological clock can be seen

in vitro. McArthur et al (1991) and later Mason et al (1993) demonstrated that

exogenous melatonin acts directly within the SCN to phase-shift the circadian

rhythmicity of neural activity. This feedback system on the SCN may allow

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melatonin to modulate the phase relationship between the circadian system and the

environmental light/dark cycle which can alter the duration (and timing) of the

melatonin signal on a daily basis (see section 1.3). There are also efferent neural

connections from the SCN into other areas of the brain which provide a means by

which melatonin can indirectly influence behavioural and physiological functions

(Watts, 1991). The densest projections from the SCN lead into the adjacent

paraventricular nucleus (PVN) with a smaller projection to the lateral septal nucleus

(LSN, Watts et at, 1987). The PVN efferents connect the hippocampus, amygdala

and nucleus accumbens with the LSN projecting to the hypothalamus. These in turn

may influence the activity of the medial forebrain bundle which is crucial for many

aspects of behaviour such as arousal and feeding (Swanson, 1987).

Exogenous melatonin will entrain the free-running activity rhythms of rats

(Redman et at, 1983; Cassone et at, 1986). Suitably timed melatonin administration

to rats after a large shift in the light dark cycle can alter the rate and direction of

reentrainment of both the activity rhythms and N-acetyltranferase activity (Armstrong

and Redman, 1985; Redman and Armstrong, 1988; Illnerovä et at, 1989).

Strong evidence for melatonin's role in reproduction comes from seasonal

breeders. The duration of the melatonin secretory rhythm provides a direct reflection

of the length of night in photoperiodic animals (Arendt, 1986), and is able to transmit

this photoperiodic information to seasonal breeders to time reproductive behaviour

and function (Tamarkin et at, 1985). Infusion of physiological levels of melatonin

in animals timed to mimic the secretion pattern in different seasons is able to induce

the appropriate endocrinological and behavioural response (Bartness et at, 1993).

However, anatomical evidence demonstrating a relationship between the SCN and the

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neuroendocrine parts of the hypothalamus is limited.

There do not seem to be any direct connections from the SCN to the median

eminence where gonadotrophin-releasing hormone is released to influence the

secretion of luteinizing hormone from the pituitary gland. However, since high

affinity melatonin binding sites have been found in the pituitary gland (Morgan and

Williams, 1989) and projections from some parts of the PVN lead into the preoptic

area of the hypothalamus where nuclei are closely associated with numerous

neuroendocrine functions, there is potential for melatonin to influence many aspects

of neuroendocrinology through indirect and direct mechanisms (see Watts, 1991 for

review).

Many structures within the preoptic region of the hypothalamus are intimately

involved in many aspects of circadian hypothalamic functions such as fluid balance,

sleep and thermoregulation (Swanson, 1987) and minor projections do lead into this

area from the SCN (Berk and Finklestein, 1981; Stephan et al, 1981). There are

however, major pathways which indirectly connect the two sites. For example, the

primary nucleus for body temperature regulation is the medial preoptic area of the

hypothalamus (Hellon, 1972; Hensel, 1973; Satinoff, 1978) which is directly

connected to an area just ventral to the PVN known as the subparaventricular zone

(sPVHz). This site in turn is directly supplied by dense projections from the SCN

(Watts et al, 1987). Thus morphological studies support the broad spectrum of SCN-

dependent effects.

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1.2.11 Summary - potential physiological Roles for Melatonin

The presence of high affinity melatonin receptors within the SCN and the

ability of exogenous melatonin to alter the circadian rhythms of SCN neural activity

and rodent behaviour, suggest that pineal melatonin plays some role in the circadian

organisation in mammals.

Melatonin has a rapid and widespread distribution from the circulatory system

into all body tissues and fluids indicating that it may have a wide ranging modulatory

role over a number of different mechanisms within the body. Melatonin easily passes

through cellular membranes and into the nucleus (Joss, 1981; Menendez-Pelaez and

Reiter, 1993). The possibility that melatonin could modify the function of many

tissues and organs even at the nuclear level is therefore reasonable. Recent evidence

that melatonin is highly effective in neutralising the destructive activity of free-

radicals (oxidizing agents) suggests a role which does not require a membrane bound

receptor (Poeggeler et al, 1993; Reiter et al, 1993; Tan et al, 1993).

In addition, it has been shown that melatonin can modulate the response of the

immune system in some conditions (Blask et al, 1993; Maestroni, 1993). Circadian

rhythmicity occurs in number of immune mechanisms (Fernandes et al, 1976,1979;

Abo et at, 1981; Kawate et al, 1981) and to some extent tumour growth in

experimental animals can be influenced by photoperiod and melatonin administration

at different times of day (Bartsch and Bartsch, 1981; Stanberry et al, 1983). Thus

the pineal gland through its rhythmic circadian release of melatonin can influence the

immune system and possibly malignant disease (Blask, 1984).

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1.3 FACTORS AFFECTING MELATONIN SECRETION

Melatonin is considered to be a reliable circadian rhythm marker and is used

as such in various physiological and pathological studies. Changes in melatonin

secretion may indicate a role for melatonin and the circadian timing system. It is

however, important to exclude disturbing (masking) influences unrelated to the object

of the study.

1.3.1 Light suppression of melatonin secretion in humans

Although the melatonin rhythm is remarkably stable in healthy humans, one

environmental factor known to greatly influence its production, via suppression, is the

light/dark cycle. Whether this suppressant effect is related to the phase-shifting or

entraining property of light is a matter of great interest.

1.3.1.1 Intensity of light exposure

Acute exposure to light at night shuts down the synthesis of melatonin rapidly.

The degree of suppression of nighttime melatonin depends upon the brightness of the

light. In humans, Lewy et al (1980) originally found suppression of melatonin

secretion in response to light of 1500 and 2500 lux. Light of 500 lux initially showed

no suppression although in a later study by Lewy et al (1985) some melatonin

suppression was found with 500 lux. Further studies have shown that the melatonin

synthesis is affected by lower intensities of light. Bojkowski et al (1987a) reported

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partial but significant suppression at 300 lux (30 minutes at 0030h) and McIntyre et

al (1989a) indicated some suppression with 200 lux (lh at midnight). In all cases

melatonin levels returned to normal values within 60 minutes after cessation of

treatment. Waking, and maintaining subjects awake in <1 lux has no effect on

plasma melatonin levels (Lewy et al, 1980; Bojkowski et al, 1987a). The threshold

intensity of full spectrum light needed to suppress human melatonin levels has yet to

be determined but may reveal effective suppression at even lower levels. Using

monochromatic (green) light, Brainard et al (1988), have observed melatonin

suppression as low as 5.5 lux in some individuals. Pupil dilation may also be

important in determining the degree of illuminance falling on the retina and the level

of light-induced melatonin suppression (Gaddy et al, 1993). Some individuals with

manic-depressive illness have been found to be supersensitive to light and it has been

suggested that this may provide an appropriate marker for manic-depressive-illness

(Lewy et al, 1985).

1.3.1.2 Timing of Light Exposure

The response of the pineal gland to light, at least in rats, may be dependent

on the timing of the light treatment, where NAT activity does not recover to the same

extent after treatment in the latter half of the night as in the first half (Illnerovä and

Vanecek, 1984). In man, variations in the ability to detect low light intensities have

been found over the course of the night suggesting that light-induced suppression of

melatonin secretion may alter with time (Terman and Terman, 1985; Bassi and

Powers, 1986). This has been confirmed by Owen and Arendt (1992), who

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demonstrated in humans living in Antarctica, that suppression by both dim light (m

300 lux) and bright light (-2200 lux) was more effective in the second half of the

night and was dependent upon the season (suppression less effective in summer).

However, in contrast, McIntyre et al (1989b) could find no time-dependent

differences in the ability of light to suppress melatonin production using 1000 and

3000 lux. In addition, they and others (Bojkowski et al, 1987a; Lewy et al, 1980)

found no rebound effect in melatonin levels after light exposure during the early dark

phase (around the melatonin secretion onset time) unlike Beck-Friis et al (1985) using

2500 lux treatment.

1.3.1.3 Duration of light exposure

A short duration (15 minutes) light pulse of 1500 lux at either 2200h or 2300h

or even a5 minute pulse of 2500 lux at 0200h can reduce nocturnal melatonin levels

(Byerley et al, 1989; Petterborg et al, 1991a). All-night exposure to bright light

(3000 lux) can completely abolish the nighttime melatonin profile (Strassman et al,

1987), suggesting that this model could be used for studies needing "functional

pinealectomy" in humans.

1.3.1.4 Wavelength of light exposure

The environment in which humans live consists almost exclusively of broad

spectrum light whether it is natural light or artificial fluorescent and incandescent

light. In mammals, including humans, the blue/green wavelength of the light

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spectrum seems to be maximally effective at suppressing melatonin synthesis

(Brainard et al, 1984,1985). The visual system in humans is most sensitive to green

light (Riggs, 1965), however, there may be a change in sensitivity to lower

wavelengths of light during the course of the night (Honma et al, 1992).

Unfortunately, most of these studies differ in the timing, intensity and duration

of their light exposure. Further experiments are required to see whether humans have

the same inverse relationship between intensity and duration as has been found for rat

NAT suppression (Vanecek and Illnerovä, 1982). In rats, a short pulse of bright light

has a similar suppressant effect on NAT activity as dim light of longer duration

(Vanecek and Illnerovä, 1982). Previous lighting history may also prove to be

important in the response of melatonin suppression in terms of sensitivity to light.

Many of these studies were conducted under different latitudes with different

photoperiodic environments of varying natural illuminance. Lynch et al (1981)

demonstrated that rats on alternating artificial bright light/dim light cycles respond as

if dim light was natural darkness, and rats on alternating cycles of dim light and

darkness recognise dim light as natural light. In addition, laboratory-raised and wild-

captured ground squirrels, exposed to different intensities of light, responded

differently to light exposure at night (Reiter et al, 1983).

In summary, the suppressive effects of light on melatonin secretion are

complex depending on the intensity, timing, duration and wavelength of the light

treatment together with the photoperiodic history and sensitivity of the individual.

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1.3.2 Non-visible radiation

Bright full spectrum light is not the only type of radiation known to affect

melatonin production. Non-visible radiation in the region of the electromagnetic

spectrum is reported to influence the production of melatonin (Reiter, 1992a). In

rats, low frequency (50-60 Hz) or static magnetic field exposure can suppress

melatonin levels at night (Olcese et al, 1988; Lerchl et al 1991). The pathway

through which the pineal gland perceives this magnetic information is suggested to

be via the retina in much the same way as light is recognised, although the exact

mechanism remains unclear and the function unknown (Olcese et al 1985,1990; Kato

et al, 1994).

1.3.3 Changing Daylength (Photoperiod)

The circadian pacemaker via melatonin secretion provides information to the

body about the length of day which changes with the time of year. This information

is used in many species to control seasonal rhythms in physiology and behaviour,

such as reproductive function and coat growth (Pittendrigh and Daan, 1976).

In all non-human mammalian species studied, the duration of nocturnal

melatonin secretion and NAT activity is extended under a shorter "winter" day

(longer night) and reduced under a longer "summer" day (shorter night), (Review:

Illnerovä, 1988). It is not known how the body interprets the melatonin signal

providing information about environmental time and signalling the appropriate

endocrine and behavioural adjustments to be made. It may be the timing at which the

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light and/or darkness phases hit the melatonin rhythm or the timing between the

melatonin rhythm and a rhythm of sensitivity of the receiving organ. A combination

of the above are likely, depending on the species, together with the direction in which

the melatonin rhythm alters (Reiter, 1987; Illerovä, 1988).

In humans studies, the response to seasonal changes in natural photoperiod

have been variable. Some groups have shown a seasonal variation in melatonin

plasma concentrations (Arendt et al, 1977,1979; Wirz-Justice and Richter, 1979;

Touitou et al, 1984), although highest levels were not consistently associated with a

short photoperiod. Others have found no variation in total aMT6s production with

the time of year (Beck-Friis et al, 1984; Griffiths et al, 1986; Sack et al, 1986;

Bojkowski et al, 1988). However, Beck-Friis et al (1985) have found that in winter,

melatonin levels were raised later in the morning and subsequent studies have shown

that the melatonin secretion is phase-advanced by up to 2h in the winter compared to

summer (Illernovä et al, 1985, Arendt and Broadway, 1986; Griffiths et al, 1986;

Kennaway and Royles, 1986; Bojkowski and Arendt 1988). These studies suggest

that the changing season affects the timing of the melatonin rhythm more than the

amplitude.

More recently it has been demonstrated that humans respond both

physiologically and behaviourally to changes in artificial photoperiods similar to

animals (Buresovä et al, 1992; Wehr, 1991; Wehr et al, 1993). The nocturnal

duration of melatonin secretion along with sleep-phase, cortisol, prolactin and body

temperature lengthened on exposure to a short "winter" photoperiod (16h darkness:

8h light) from a longer "summer" one (14h light: 10h darkness). In the winter,

natural darkness falls in the early evening hours and, in the absence of artificial light,

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the production of melatonin occurs earlier (phase-advancing). Darkness lifts in the

later hours of the morning in winter delaying the offset of melatonin secretion until

dawn appears. Wehr (1991) suggests that the mechanism for this phenomenon could

employ a two-oscillator system; one which controls the onset of melatonin secretion

and sleep, and one for the offset. The dual oscillator model has been previously

demonstrated by Pittendrigh and Daan (1976) using ̀ dawn' and ̀ dusk' oscillators and

later by Illernovä and Vanecek (1982) with their studies on rodents. Illernovä and

Vanecek (1982) simulated a dawn and dusk signal using brief 1 minute pulses of

bright light, giving a so-called ̀skeleton' photoperiod.

Further evidence for a dawn and dusk time cue in humans comes from

Broadway et al (1987) who simulated a 12.5h spring ̀ skeleton' photoperiod well into

the Antarctic winter, when men live entirely under artificial light (< 500 lux). They

applied two bright light pulses (of 1 hour duration at 2500 lux), one in the morning

and one in the evening, and produced a melatonin profile similar to the pattern in

summer. Dim light was not effective (< 500 lux). After the photoperiodic time cues

are removed, this response to a change in the light/dark cycle lasts for at least 24h

(Wehr et al, 1993), or longer if the sleep/wake cycle is fixed (Illnerovä et al, 1993),

suggesting that the photoperiodic response might be conserved within the human

circadian timing system.

These studies indicate that humans can respond to seasonal photoperiod

variations. However, the intensity of light appears to be important (Broadway et al,

1987) and may explain why a durational response in nocturnal melatonin was not

found in some studies since humans in industrialised societies live in artificial lighting

environments, whether in the home and at work, for most of the year and may not

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receive bright enough light, or suitably timed photoperiodic signals, for a seasonal

response to be seen (Illnerovä et al, 1985).

1.3.4 Puberty

Puberty is associated with elevated activity of the hypothalamic-pituitary-

gonadal axis, bringing about sexual maturation. Evidence of a relationship between

melatonin and puberty has been conflicting, mainly due to methodological differences

such as day- and night-time sampling, limited number of subjects and single nighttime

samples (Review: Cavallo, 1993). In extensive studies with frequent nighttime

sampling in normal healthy children, plasma melatonin levels show little difference

between sexes and show a fall in the nighttime peak of melatonin secretion with age

and sexual maturation (Attanasio et al, 1985; Waldhauser et al, 1988; Cavallo, 1992).

In contrast, some reports show no change in total excretion of the urinary metabolite

of melatonin aMT6s from childhood to adult (Tetsuo et al, 1982). These results have

led to the suggestion that any increase in melatonin with age is due to increased body

mass (Waldhauser et al, 1988), see section 1.3.7. However, Brun et al (1992) have

found that urinary excretion of 6-sulphatoxymelatonin increases from early to mid

childhood taking into account body mass.

Pineal tumours in humans are associated with disturbances in pubertal

development (Kitay, 1954). However, other factors may be responsible for changes

in the hypothalamic-pituitary-gonadal axis such as tumour tissue spreading into the

hypothalamus and elevated secretion of chorionic gonadotropin (Wass et al, 1982;

Neuwelt and Lewy, 1983). The relationship between the pineal gland and puberty

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has yet to be fully established.

1.3.5 Advancing age

In many species the nocturnal rise in melatonin secretion undergoes a gradual

decline with age (review: Reiter, 1992b). The fall in amplitude of the nighttime rise

in melatonin levels has also been shown with age in humans (Iguchi et al, 1982,

Touitou et al, 1981), together with a shorter nighttime profile (Nair et al, 1986).

aMT6s excretion follows a similar fall with advancing age (Sack et al, 1986;

Bojkowski et al, 1990), although Young et al (1988) found no fall in aMT6s

excretion with age. However, Young et al (1988) grouped subjects into two wide age

populations (36.5-79.9 years compared to 18-36.49 years) which allows only gross

comparisons to be made between two variable age groups. Significant changes may

only occur in later years perhaps only after 60 years as demonstrated by Bojkowski

et al (1990).

One theory for the reduction in melatonin secretion involved pineal

calcification which increases with age (Welsh, 1985). However, the activity of the

pineal enzymes involved in the synthesis of melatonin is not affected by calcium

deposits in the pineal gland (Wurtman et al, 1964) and more recent studies have

confirmed that pineal calcification does not affect melatonin production in young to

middle-aged adults (Commentz et al, 1986; Bojkowski and Arendt, 1990).

Another possible mechanism to account for the attenuation of the melatonin

rhythm with age is the concomitant decline of available B-adrenergic receptor numbers

on the pinealocyte membrane (Greenberg and Weiss, 1978; Henden et al, 1992) and

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a, -adrenergic receptors in the SCN (Weiland and Wise, 1990). Food restriction in

rats can preserve the age-associated fall in these receptor numbers and nighttime

activity of NAT (Stokkan et al, 1991; Henden et al, 1992). A reduction in the

neuronal activity of the SCN with age may also contribute to a dampening of the

melatonin rhythm (Satinoff et al, 1993).

Administration of exogenous nighttime melatonin or engraftment of pineal

glands from young to old mice has been found to promote longevity in rats (Pierpaola

and Regelson, 1994). In addition to changes in melatonin output with age, a

concomitant fall in the endogenous temperature rhythm amplitude is observed

(Czeisler et al, 1992), which can be prevented with the melatonin agonist S-20242 in

rats (Koster-van Hoffen et al, 1993). These studies suggest that melatonin and the

pineal gland may act as an internal clock mechanism involved in the aging process.

The alterations in the circadian system with age may affect the individuals'

ability to be entrained in a normal environment or adapt to changes in a new time

zone. Recently sleep disorders, which are common in the elderly (Feinberg, 1974)

have been correlated with disturbances in the melatonin rhythm (Haimov et al, 1994).

The elderly account for the majority of the population who are diagnosed with

advance sleep phase syndrome (Moldofsky et al, 1986).

In aging hamsters the circadian clock either becomes less responsive or

changes its response to the phase-shifting and synchronising effects of

benzodiazepines and light/darkness (Zee et al, 1992; Van Reeth et al, 1993). In

humans, age-related differences in adaptation to shiftwork or a new time zone have

been attributed to a reduced ability of the internal clock to adjust (Akerstedt and

Torsvall, 1981; Graeber, 1982).

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1.3.6 Normal menstrual cycle

Wetterberg et al (1976) have indicated that melatonin levels showed apparent

cycling in line with the menstrual cycle, peaking at the time of menstrual bleeding

and reaching a minimum at ovulation, and suggested a role for melatonin in normal

menstrual cyclicity. Correlational evidence shows that this menstrual melatonin

profile is inversely related to the changes in temperature throughout the cycle

(Nakayama et al, 1992). Amplitude changes and phase-shifts in the luteal phase have

also been reported by others (Hariharasubramanian and Nair, 1982; Webley and

Leidenberger, 1986). However, Brzezinski et al (1988) and Fellenberg et al (1982)

have failed to confirm these findings. Melatonin has been shown to be present in

human preovulatory follicles (Brzezinski et al, 1987) and nocturnal melatonin levels

can stimulate the production of progesterone in human granulosa cells (Webley and

Leidenberger, 1986). The circadian role of melatonin in human ovarian function

remains to be elucidated although there is evidence for melatonin's role in the

reproductive function of many mammals (review: Reiter, 1980).

1.3.7 Body size

There is contradictory evidence for a relationship between melatonin levels and

body size. As body weight increases in both men and women, plasma melatonin

levels have been shown to increase (Arendt et al, 1982; Ferrier et al, 1982).

However, no correlation has been found for aMT6s (Nair et al, 1986; Sack et al,

1986; Bojkowski and Arendt, 1990).

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Height may also influence melatonin levels. Beck-Friis et al (1984) found a

negative correlation between melatonin and height. However, a similar finding by

Sack et al (1986) was no longer significant when age was taken into account and

other studies could not confirm the relationship (Nair et al, 1986; Bojkowski and

Arendt, 1990).

Differences in melatonin levels have been observed in the 2 sexes and obesity

by some workers. Sack et al (1986) found low aMT6s levels in urine with increasing

weight in women and the opposite for men. Beck-Friis et al (1984) found a negative

association between obesity and melatonin levels in a mixed population and Arendt

et al (1982) demonstrated a similar negative correlation in women. However, in

obese children, Tamarkin et al (1982) have found normal plasma melatonin levels.

The relationship between melatonin levels and measurements of body size remains

unclear, but huge individual differences in melatonin secretion (Arendt, 1988) may

disguise a true effect.

These studies do suggest that consideration of weight, height and obesity index

is warranted when measuring melatonin and emphasises the need to use individuals

as their own controls.

1.3.8 Exercise/stress

Stressful stimuli can stimulate the sympathetic nervous system by increasing

circulating levels of NA (Axelrod and Reisine, 1984). It is therefore conceivable that

stress could increase the production of melatonin through increased sympathetic

innervation of the pineal or through direct stimulation of pinealocytes by systemic

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NA.

The effects of exercise on melatonin concentrations in humans is conflicting.

At night a reduction in melatonin production has been observed after physical exercise

in the dark (Monteleone et at, 1990). However, physical exercise during light-

induced suppression of melatonin causes no effect (Monteleone et at, 1992). During

the day Vaughan et at (1979) demonstrated no changes in melatonin levels after a 100

yard dash. However, more strenuous exercise has been shown to transiently elevate

melatonin concentrations (Carr et at, 1981; Ronkainen et at, 1986). Similar findings

have been demonstrated in rats whilst swimming at night (Troiani et at, 1987).

Stress-related hormones and catecholamines are not involved in this response, since

removing the adrenal glands and severing sympathetic innervation has no effect on

this elevation in the rat blood (Wu et at, 1987; Troiani et at, 1988). The active NA

uptake mechanism of sympathetic nerve endings in the pineal may also provide a

protective response against acute stress-induced stimulation of the pineal (Parfitt and

Klein, 1976). No corresponding changes in rat NAT or HIOMT activity are evident

with the increase in blood melatonin (Troiani et at, 1987). The mechanism of action

therefore remains unknown.

1.3.9 Alcohol ingestion

Alcohol at doses usually ingested socially (0.05-1g/kg wt) can suppress

melatonin secretion when administered before the melatonin onset time (Ekman et al,

1993; Röjdmark et al, 1993). The mechanism of action remains unknown but may

involve inhibition of adrenergic activation of the pinealocytes (Chik et al, 1987,

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1992).

In summary, whilst the melatonin circadian rhythm is remarkably stable within

individuals, there are a number of factors which may disturb the endogenous secretion

pattern of melatonin leading to inappropriate estimates of circadian parameters.

Hence, in any studies involving melatonin measurement as a marker of circadian

time, alcohol and exercise should be restricted and subjects/patients should be drug-

free wherever possible and matched by age, weight, height and reproductive status.

1.3.10 Depression and seasonal affective disorder

Disturbances in the circadian timing system have been associated with

depression particularly when they are linked to periodic manic episodes. A phase-

advance theory has been proposed for depressed patients where sleep, temperature

and cortisol rhythms have been shown to be phase-advanced compared to controls

(review: Kripke, 1983). The amplitude of nocturnal melatonin secretion may be

reduced although the evidence is conflicting (e. g. Wetterberg et al, 1978; Claustrat

et al, 1984; Thompson et al, 1988).

A number of antidepressant drugs which affect noradrenergic and serotonergic

function have been shown to stimulate melatonin production in humans. For

example, desipramine can advance the onset and increase the duration of melatonin

in humans (Franey et al, 1986; Cowen et al, 1985; Skene et al, 1994), presumably

by inhibiting the reuptake of NA at the nerve synapses in the pineal gland (Checkley

et al, 1986). 5-HT uptake inhibitors such as fluvoxamine and melatonin synthesis

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precursors can elevate melatonin levels (Namboodiri et al, 1983; Demisch et al,

1986; Skene et al, 1994). In addition, the phosphodiesterase inhibitor rolipram, has

been shown to increase melatonin (Checkley et al, 1987). All have antidepressant

activity. These studies underline the importance of noradrenergic, serotonergic and

cAMP mechanisms in melatonin production but there is little evidence so far to

suggest a causal effect of melatonin in depression.

One depression that reappears every autumn and winter, is known as seasonal

affective disorder (SAD; Rosenthal et al, 1984), and has been linked to a seasonal

disturbance in the circadian timing system. A delay in the rhythm of melatonin (and

aMT6s), cortisol and temperature has been observed in SAD patients in various

studies (Lewy et al, 1987; Terman et al, 1988; Avery et al, 1989; Wirz-Justice et al,

1990; Wirz-Justice et al, 1993), although this has not been confirmed by others

(Rosenthal et al, 1990; Checkley et al, 1993; Eastman et al, 1993).

1.3.11 Circadian rhythm disorders

There are a number of other situations or pathological states where the timing

of the endogenous melatonin rhythm is out of phase with environmental zeitgebers

and apparently with other circadian rhythms. These include jet lag (Arendt et al,

1987), maladaptation to shift work (Waldhauser et al, 1986; Touitou et al, 1990;

Sack et al, 1992; Shanahan et al, 1994) and blindness (Lewy and Newsome, 1983)

and are described in detail in sections 1.5,1.6 and 1.8.

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1.4 PHASE-SHIFTING RESPONSE OF THE HUMAN CIRCADIAN

SYSTEM TO BRIGHT LIGHT AND MELATONIN

1.4.1 Range of entrainment

There is a limited `length of the day' to which humans can adapt without

causing circadian rhythms to become misaligned from the environment ("external

desynchronization"), or from one another ("internal desynchronization"), and continue

oscillating with their own free-running periods (Wever, 1983). Human physiological

rhythms can normally entrain to daylengths between 23 and 27h (Wever, 1983,

1986). Outside this range of entrainment rhythms such as temperature, cortisol and

melatonin (Lewy and Newsome, 1983) will naturally free-run with a periodicity close

to 25h (Wever, 1974,1986,1989; Kennaway and Van Dorp, 1991). This free-

running periodicity is considered to reflect the internal period of the circadian

pacemaker. However, the range of entrainment also depends upon the strength of the

zeitgeber (Wever, 1983). Bright light of 3000 lux during the light phase (0.1 lux

during darkness) has been found to increase the range of entrainment of the

temperature rhythm (Wever, 1983,1986,1989) by as much as 6h a day from its free-

running period, i. e. 19-31h. Shorter durations of bright light (2h at 2000-4000 lux)

exposure administered just before bedtime can also facilitate the entrainment of the

circadian system to a 26h day (Eastman and Miescke, 1990).

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1.4.2 Entrainment of the human circadian system to the light/dark cycle

Originally, the light/dark cycle was not thought to be as effective as social

time cues in synchronising the human circadian system (Wever, 1979). However, in

these early studies light was freely available during the dark phase and social cues

(audible gongs) signalled light/dark transitions. With stricter control of the light/dark

cycle and social cues, the light/dark cycle was able to entrain the temperature and

activity rhythms (Czeisler et al, 1981). Many blind subjects do not receive zeitgebers

of adequate strength to entrain their circadian system indicating that the light/dark

cycle is an important zeitgeber in man (Orth and Island, 1969; Miles et al, 1977;

Sack et al, 1987; Arendt et al, 1988; Klein et al, 1993). Brighter intensity light

(> 3000 lux) throughout the light phase of the light/dark cycle effectively entrains the

temperature rhythm to a 24h day (Wever et al, 1983; Honma et al, 1987).

1.4.3 Phase-shifting effects of light

The ability of circadian timing system to entrain to environmental time cues

relates to the ability of external zeitgebers to shift the circadian pacemaker in time.

Suitably timed bright light of sufficient intensity and duration will induce phase-shifts

in the rhythms of various physiological variables such as core body temperature,

cortisol and melatonin secretions (Broadway et al, 1987; Shanahan and Czeisler,

1991). Repeated daily exposure to bright light (2500 lux) in the morning can phase-

advance the onset of melatonin secretion, whereas evening light treatment can induce

phase-delays, even when the sleep/wake cycle is held constant (Lewy et al, 1987).

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Evening exposure to much stronger intensity bright light (> 7000 lux) for one week,

can phase-delay the endogenous temperature and cortisol rhythms by as much as 6h

in some individuals, whilst maintaining a constant sleep/wake cycle and regular social

interactions (Czeisler et al, 1986). In addition, Czeisler et al (1989) demonstrated

that bright light pulses (> 7000 lux) given on three consecutive days can shift the

temperature, cortisol and urine output rhythms, advancing them with morning light

exposure or delaying them with evening light treatment.

Bright light can also acutely phase-shift the circadian pacemaker after a single

exposure. Buresovä et al (1991) reported an a 0.6-2.2h advance in the melatonin

rhythm one day after exposure to bright light (3000 lux) between 0300-0900h. A

single 3h bright light pulse (5000 lux) administered up to 5h before the temperature

minimum phase-delayed the melatonin rhythm by an average of 74 minutes (van

Cauter et al, 1994). Average phase-advances of 28 minutes were evident between 1-

4h after the temperature minimum.

In constant routine ('unmasked') conditions, the magnitude and direction of

shift of the plasma melatonin, plasma thyrotropin, core body temperature, plasma

cortisol and urine production rhythms are similar (Czeisler et al, 1989; Shanahan and

Czeisler, 1991; van Cauter et al, 1994). Taken together these studies strongly

suggest that light has an unique ability to phase-shift the master human circadian

pacemaker governing a number of physiological circadian rhythms.

These findings have led to the establishment of a phase response curve (PRC)

for bright light which predicts the magnitude and direction of shift of the circadian

pacemaker, in response to light pulses at various times of day (Minors et al, 1991;

van Cauter et al, 1994), Figure 1.5. A classical PRC using single pulses of bright

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light has been described by Minors et al (1991) using the core body temperature

rhythm as a circadian phase marker of the biological clock. Bright light administered

before the temperature minimum (0400-0500h clock time) caused a phase-delay and

light given after the temperature minimum phase-advanced the rhythm. Phase-

responses were obtained under 3 different conditions where 1) subjects were initially

entrained to a 24h day before being exposed to a 3h pulse of 5000 lux bright light,

2) subjects were free running before exposure to 3h of bright light at 9000 lux and

3) subjects were free-running before exposure to 3h of 9000 lux on three consecutive

days. Larger phase-shifts were obtained with subjects free-running and even more

so with repeated daily light exposure. A similar phase response effect of bright light

(5000 lux) has been demonstrated by van Cauter et al (1994) using plasma melatonin

and thyrotropin as circadian rhythm markers, and Honma and Honma (1988) using

the free-running sleep/wake rhythm as a circadian phase marker.

Czeisler et al (1989) have generated a light phase response curve which can

induce much larger phase-shifts in temporal isolation and under constant routine

conditions. This is based on repeated daily exposure of bright light in combination

with darkness. Using 5h of bright light (7000-12000 lux) on 3 consecutive days and

maintaining regular 8h darkness (sleep) episodes, phase-shifts of up to 12 hours in the

temperature rhythm were achieved after 3 days. The greatest shifts were obtained

when light pulses were centred over the temperature minimum with subjects in

darkness (and sleep) during the day. The time of the temperature minimum is

considered to be the most sensitive phase of the circadian system where the largest

phase-shifts can be induced (Czeisler et al, 1989). These results reflect a combination

of imposed light/dark and sleep/wake cycles. in achieving the shift.

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Figure 1.5 Human phase-response curves for bright light and melatonin

y V

pU ed ý

-12

Time relative to

-8 -4 0 +4 +8 +12 temperature minimum (h)

1600 2000 2400 0400 0800 1200 1600 Clock time (h)

Phase-response curves (PRC) for bright light and melatonin showing the magnitude and direction of phase-shift in the endogenous biological clock after bright light or melatonin treatment at different times of the day. Two light PRCs for single 3h bright light pulses are shown and are plotted using the midpoint of light exposure. One used the core body temperature rhythm as the circadian phase marker (, light intensity = 5000/9000 lux, ----: no estimate made). The second light PRC

used the endogenous melatonin rhythm as a phase marker (- , light intensity =

5000 lux). Two melatonin PRCs are shown and both have used the endogenous melatonin rhythm as the circadian phase marker. One shows a cumulative phase- shift reponse after repeated melatonin treatment (0.5mg) for 4 days (-). The

second shows the response to single 3h melatonin infusions at physiological doses

only at four different times of day (A), and is plotted using the start of each infusion. Adapted from Minors et al, 1991, Lewy et al, 1992, van Cauter et al, 1994 and Zaidan et al, 1994.

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Response curves allow the prediction of the effects of light treatment at

different times of day and therefore could be used therapeutically in conditions where

there are underlying circadian rhythm disturbances, e. g. jet lag. However, it must

be noted that the generation of such phase response curves in a free-running state or

in temporal isolation may not apply to a "normal" environment where the circadian

system will be influenced by daily zeitgebers which alter rhythm parameters. For

example, natural ambient bright light exposure can prevent the desired phase-shift

with artificial bright light if appropriately timed to oppose the desired shift (Eastman

and Miescke, 1990). Control of ambient light intensity in the normal environment

is therefore important when treating circadian rhythm disturbance.

1.4.4 Phase-shifting effects of melatonin

Under normal conditions, repeated melatonin administration (2mg and 8mg)

at 1700h or 2200h will phase-advance its own endogenous rhythm (Arendt et al,

1985a; Wright et al, 1986; Mallo et al, 1988). The cumulative phase-shifting effect

of repeated melatonin administration has been extended to cover responses at several

times of day and has led to the establishment of a PRC for melatonin (Lewy et al,

1992) with almost a reverse phase relationship to the light PRC (Minors et at, 1991;

van Cauter et al, 1994), Figure 1.5. Using the onset of melatonin secretion in plasma

as a circadian phase marker, the PRC was determined with reference to the

individuals melatonin onset time in plasma, which for normal sighted individuals

occurs at 2100-2200h clocktime (Arendt et al, 1977; Lewy et al, 1992; Deacon and

Arendt, 1994). Using 2200h as a guide, phase-advances were apparent between

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1200-2000h and phase-delays were evident between 0400-1000h. A zone of little or

no response occurred between 2000-0200h, Figure 1.5.

Recently, the acute phase-shifting effects of single melatonin infusions have

been described in terms of a phase-response curve (Zaidan et al, 1994). Intravenous

infusion of physiological levels of melatonin starting at 1600h and 2000h advanced

the endogenous melatonin rhythm and when administered between 0400-0700h and

1200-1500h the melatonin profile was delayed, Figure 1.5. In contrast to the PRC

of Lewy et al, Zaidan and workers reported a larger phase-shift later in the day.

Such work suggests that melatonin has phase-shifting properties of its own and

provides a means of resetting the biological clock similar to the ability of bright light,

where disturbances in biological rhythms exist, for example abnormal sleep phase

syndromes and shiftwork.

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1.5 ABRUPT PHASE-SHIFTS IN LOCAL TIME CUES

Two aspects of modern society where the local time cues are quickly altered,

time-zone travel and shift work, result in behavioural and physiological problems

which can interfere with the individuals ability to perform everyday tasks and make

them more susceptible to having accidents, compromising productivity and safety.

1.5.1 Jet lag

Tiredness during the day, difficulty in sleeping at night, poor performance and

alertness together with digestive problems are common complaints after rapid

transmeridian flight over many time zones (Siegel et al 1969; Winget et al, 1984;

Comperatore and Krueger, 1990). Travel weariness and sleep loss are associated

with time-zone travel, however, the symptoms of jet lag tend to persist longer than

the time taken to recover from these effects. Underlying circadian rhythm

disturbances are also associated with the jet lag state (D6sir et al, 1981; F6vre-

Montange et al, 1981). On arrival at their new destination, jet travellers are exposed

to a range of social and environmental zeitgebers and imposed routines that are

shifted in time, although their body clocks are not yet adapted. The jet lag state tends

to persist whilst the circadian system slowly adapts to new local time cues at a rate

of 1-1.5h a day (Aschoff et at, 1975; Klein and Wegmann, 1980). The length of

time for different circadian rhythms to readjust to a new time zone or schedule is

variable resulting in a temporary internal dissociation between circadian rhythms

(Elliot et al, 1972; Aschoff, 1978; Klein and Wegmann, 1980; D6sir et at, 1981).

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Even rhythm parameters (e. g. minimum and maximum) may adapt differently,

suggesting that different control mechanisms regulate different aspects of rhythmic

functions (Ddsir et al, 1981). However, masking of endogenous circadian rhythms

by external factors such as activity and sleep may influence the apparent rate of

adjustment and should be considered (Folkard et al, 1991; Minors and Waterhouse,

1992a, 1992b).

The speed of resynchronization of circadian rhythms depends upon the number

and direction of time zones crossed together with the strength of the zeitgeber

(Aschoff et al, 1975; Klein and Wegmann, 1980). Resynchronization takes longer

after eastward rather than westward flights. To adjust the circadian rhythms to an

eastward time zone, the circadian timing system needs to be advanced, i. e. moved

forward in time. In contrast, adjustment to a westward time zone requires the

circadian timing system to be delayed, i. e. moved backwards in time. This is

achieved by either temporarily shortening or lengthening the period/cycle of the

internal clock. For example, in normal everyday life the period of the endogenous

body clock m 24h. Adopting a longer period, say 25h, gradually delays the timing

of the circadian system by lh a day until the desired shift is achieved. Then

environmental and behavioural time cues will reinforce and entrain the biological

clock to the new 24h cycle.

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1.5.2 Shift work

The major industrial disasters Chernobyl and Bhopal occurred during the night

shift when sleepiness related accidents are common (Folkard et al, 1978; Akerstedt,

1988; Mitler et al, 1988). Often the adaptation of circadian rhythms to the newly

imposed work schedules is never complete and individuals sleep and work at

abnormal circadian times even after many years of night shift work (Colquhoun et al,

1969; Folkard et al, 1978; Akerstedt and Gillberg, 1981; Czeisler et al, 1990; Sack

et al, 1992). Although night shift workers are deprived of sleep at night they may

still suffer from disturbed sleep during the day (Akerstedt and Gillberg, 1981;

Czeisler et al, 1982). Continual adjustment of the circadian system to new work

schedules is associated with health problems that include sleep disorders, digestive

problems and a higher risk of cardiovascular disease (Czeisler et al, 1983; Akerstedt

et al, 1984).

Adaptation of the circadian system to newly imposed changes in the

sleep/wake cycle may be hindered, firstly by individuals not maintaining the same

sleep/wake schedule on days off and secondly, insufficient time to adapt during

rotating shift schedules. Shift workers are also often exposed to other zeitgebers such

as the natural light/dark cycle and social contacts which prevent adaptation to new

schedules (Eastman, 1987). This problem is often compounded by the fact that night

shift workers are typically exposed to light intensities at work which are much less

than natural outdoor light, and hence the zeitgeber strength is attenuated.

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1.5.3 Susceptibility to jet lag and maladaptation to shift work

Susceptibility to jet lag and problems adjusting to shift work varies with

different individuals.

1.5.3.1 Age

One of the factors affecting the ability to adapt to new time zones and shift

work is age. A reduced ability to adapt has been associated with increased difficulty

in sleeping at inappropriate circadian phases (Graeber, 1982; Moline et al, 1992).

In a simulated jet lag paradigm in which the subjects' day/night routine was advanced

rapidly by 6h, Moline et al (1992) found that middle-aged men showed no difference

in the rate of readjustment of the core body temperature rhythm compared to younger

controls but experienced more disrupted sleep at night and suffered increased

sleepiness and fatigue during the day. This study indicates that the disruption of the

pattern or timing mechanism of sleep is more likely to occur after abrupt phase-shifts

in middle-aged men than in younger individuals. More fatigue, greater disruption of

the sleep pattern and slower adaptation of the temperature rhythm has also been

observed in middle-aged men compared younger controls following transmeridian

flight (Hauty and Adams, 1965; Evans, 1970; Evans et al, 1972).

1.5.3.2 Circadian rhythm characteristics

The stability and amplitude of circadian rhythms may also influence the rate

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of adaptation in individuals (Reinberg et al, 1978; Klein and Wegmann, 1980;

Graeber, 1982; Winget et al, 1984; Comperatore and Krueger, 1990). Some workers

suggest that individuals with larger circadian rhythm amplitudes (e. g. body

temperature) find it harder to adapt to phase-shifts (Reinberg et al, 1978). The

stability of circadian rhythms is assessed by the standard deviation (SD) over 12

consecutive days (Colquhoun and Folkard, 1978). A low SD indicates a more stable

rhythm and is associated with a lower rate of shift. The circadian phase of the

individual may also predict the rates of adaptation to abrupt phase-shifts. For

example, after an 8h eastward (advance) time-zone shift, Colquhoun (1979) found that

individuals with earlier temperature maximums entrained faster.

1.5.3.3 Personality

The circadian phase may also be related to certain personality types. A

number of studies suggest that evening-type individuals adapt to shift work easier than

morning-types (e. g. Folkard and Monk, 1981; Hildebrandt and Stratmann, 1979).

Morning-type people are more alert in the morning and show an earlier peak time of

the body temperature rhythm (Home and Östberg, 1976). Thus when the new time

zone or shift schedule requires a delay of the circadian system, it is logical that the

earlier the circadian phase of the individual the longer it will take for them to adapt.

This is confirmed by field studies showing that the speed of circadian adjustment to

night work of morning-type people is reduced on delayed shifts (Costa et al, 1989).

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1.6 BRIGHT LIGHT AND MELATONIN TREATMENT FOR JET LAG

AND SHIN WORK

The circadian system cannot adapt fast enough to abrupt changes in local time

cues because it has a limited range of entrainment. However, by increasing the

strength of the zeitgeber the circadian system may resychronise itself with the external

environment faster.

1.6.1 Bright light treatment for jet lag

The rate of adaptation may depend upon the time-zone travellers activities (and

environment) after the flight. In a study by Klein and Wegmann (1974), the rate of

reentrainment of performance rhythms after a 6h phase-shift were much slower in one

group of subjects kept indoors compared to another group who enjoyed the freedom

of outdoor activities. Differences in social zeitgebers were considered to be

responsible for this effect. However, exposure to brighter intensity light outdoors

may also have contributed to the faster adaptation through mechanisms of entrainment

and phase-shifting (Czeisler et al, 1981,1986,1989; Wever et al, 1983; Honma and

Honma, 1988; Minors et al, 1991; van Cauter et al, 1994). These effects of light

have led to its use in facilitating the readaptation of circadian rhythms to the new

local time and alleviating the associated behavioural problems.

In 1984, Daan and Lewy suggested a light treatment strategy for jet lag using

exposure to natural daylight, based on animal light phase response curve theory (see

section 1.4.3). After two subjects travelled east over 9 time zones (9h phase-

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advance), they exposed themselves to natural daylight for one week either between

0700-1000h local time, intended to phase-delay, or between 1000-1300h local time,

intended to phase-advance. The temperature rhythm of the latter reentrained faster

by one week compared to the former. However, this observation conflicts with

human light phase response curve theory (Czeisler et al, 1989; Honma and Honma,

1988; Minors et al, 1991; van Cauter et al, 1994) since light exposure between 1000-

1300h should have delayed the temperature rhythm, although individual circadian

phase, differences in daylight intensity and other competing zeitgebers may account

for the discrepancies.

The actual intensity of light can alter the rate of reentrainment after an abrupt

phase-shift. In a laboratory setting, Wever (1985a) observed that the rate of body

temperature adaptation after a phase-delay of the light dark cycle was faster by

0.4h/day with indoor light intensities of 2000-5000 lux compared to < 1500 lux, over

the first few days post-shift, suggesting that the strength of the zeitgeber is important.

There is also evidence for delayed effects of bright light. In one study, no

overall differences were observed in the rate of body temperature adaptation

comparing light treatments of 2500 lux and 300-500 lux administered for 4h on

waking after a 6h phase-advance (Moline et al, 1989). Both light groups advanced

at the same rate throughout the treatment period of 4 days, but after the fifth post-

shift day the bright light group delayed for 2 days. No differences in objective sleep

measurements were identified. In a similar phase-shift paradigm, Samel et al (1992)

treated individuals with bright light exposure (3500 lux) at either 0400h or 1300h

(mid-points of light exposure) for two days. Only on the seventh day after the phase-

shift did the morning bright light group show an earlier peak time in the temperature

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rhythm. Another study has shown improvements in polysomnographic sleep

patterns with morning exposure of bright light (>3000 lux) compared to dim light

(< 500 lux) for 3 days after an 8h advance time zone shift (Sasaki et al, 1989). Cole

and Kripke (1989) analysed subjective measurements of sleep after time zone advance

shifts of 6.5-10h, followed by light treatment upon wakening for 3 days consisting of

bright white light (2000 lux) or dim red light (< 100 lux). No group mean

differences between the two light treatments were apparent although on at least one

of the light treatment days early morning bright light treatment appeared to

consolidate sleep into a single period at night.

To date the effects of bright light treatment in alleviating jet lag are

inconclusive despite successful treatment for maladaptation to shift work.

1.6.2 Bright fight treatment for shift work

In laboratory simulations of night shift work, normal adaptation can be

achieved within a week (Rutenfranz et al, 1981). However, this contrasts markedly

to field based studies, underlining the importance of the strength and timing of natural

environmental zeitgebers, in particular the natural light/dark cycle (Akerstedt et al,

1977; Folkard et al, 1978; Reinberg et al, 1984; Monk, 1986).

Bright light (<2800 lux) just prior to sleep and light control the following

morning can facilitate the adaptation to a 26h day (Eastman and Miescke, 1990). By

maintaining this schedule over a number of days, it provides a method for adjusting

the circadian system gradually during slowly-rotating shift schedules (i. e. a week or

more between different shifts, Eastman, 1987).

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By increasing the strength of the light zeitgeber and adjusting the timing of

exposure, a few studies have achieved the desired rapid adjustment, without treatment

prior to the new shift. Controlled exposure to bright light (> 7000 lux for 4 nights)

during the whole night, and darkness during the day, can induce complete adaptation

to simulated night shift work, despite the morning commute home in natural light

(Czeisler et al, 1990). Shorter durations of bright light exposure (> 6000 lux, 2400-

0400h) during the night shift are also sufficient to significantly improve daytime sleep

and nocturnal performance (Dawson and Campbell, 1991; Bougrine et al, 1993).

In addition to an effect on the circadian system, bright light may have direct

arousing or stimulating effects which can benefit mood and performance during the

night shift, see section 1.10.2.

Most of the studies described above have involved young people (< 30 years).

Although bright light therapy may be effective in facilitating adaptation to shiftwork

in these people, older individuals have been found to be less responsive to the same

light treatments (Campbell et al, 1994). This underlines the importance of adapting

bright light treatment to suit particular individuals.

1.6.3 Melatonin treatment for jet lag

Exogenous melatonin (5mg) has been shown to alleviate jet lag symptoms,

facilitate the reentrainment of the endogenous melatonin and cortisol rhythms and

resynchronize the melatonin excretion rhythm after simulated or actual time zone

shifts (Arendt et al, 1987; Samel et al, 1991). Other studies have shown melatonin

to successfully alleviate subjective feelings of jet lag in field studies (Arendt and

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Aidhous, 1988; Nickelsen et al, 1991b; Claustrat et al, 1992; Petrie et al, 1989,

1993).

In all these studies, melatonin was administered near bedtime after the flight.

In a few cases, pre-flight treatment of melatonin was used to initiate the phase-shift

in the circadian system in order to accelerate the resynchronization process (Arendt

et al, 1987; Petrie et al, 1989; Samel et al, 1991). Melatonin was administered at

a time when it would be naturally released in the new time zone. In a recent study,

Petrie et al (1993) compared the efficacy of melatonin in alleviating jet lag in aircrew

with and without pre-flight treatment for 2 days. Post-flight treatment alone

demonstrated faster alleviation of jet lag symptoms, suggesting that pre-flight

treatment was not necessary. Pre-flight melatonin treatment was timed assuming that

every individual was entrained to local time before the flight. However,

administering melatonin treatment to aircrews at the correct circadian time pre-flight

for every individual is complicated by their frequent time-zone travel.

1.6.4 Melatonin treatment for shift work

During rotating shift work, Armstrong et al (1986) showed that melatonin

administration (5mg) favoured the reentrainment of the body temperature rhythm to

the new schedules. During night shift work, melatonin administered at the desired

bedtime improved the quality and duration of sleep (Folkard et al, 1993). One

performance parameter showed deleterious effects but others were unchanged or

slightly improved (Folkard et al, 1993).

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1.7 Bright light and melatonin treatment for SAD

In early studies, the effectiveness of morning bright light exposure as opposed

to evening therapy in treating this disorder was thought to be a result of the circadian

phase-shifting effects of light (Lewy et al, 1987). The phase-shift theory suggests

that circadian rhythms are delayed with respect to the external clock time and

subjects' sleep times. Thus advancing rhythms with morning light treatment, resets

the circadian system. However, the circadian timing of light therapy is no longer

thought to be critical since improvements are now seen with light treatment no matter

what time of day treatment is given (James et al, 1985; Wehr et al, 1986; Jacobsen

et al, 1987; Wirz-Justice and Anderson, 1990; Wirz-Justice et al, 1993), and

improvements in SAD patients have been noted whether they were initially phase-

delayed or not (Wirz-Justice et al, 1993).

Another theory to explain the antidepressant effects of phototherapy is the

melatonin hypothesis. Here the reduction of the duration of melatonin secretion in

SAD patients by simulating a summer photoperiod, was thought to alleviate the

depression (Rosenthal et al, 1984). However, since light treatment in the middle of

the day improves the symptoms without affecting the melatonin rhythm, other factors

are thought to be involved (Wehr et al, 1986). Use of the B-adrenergic antagonist

atenolol, which causes suppression of melatonin secretion, shows no remission in the

disorder, and therefore disproves the hypothesis (e. g. Rosenthal et al, 1988).

Light therapy remains the "choice" treatment for SAD, but these

biological/psychological effects of light do not appear necessarily to involve the

melatonin rhythm and the circadian timing system.

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1.8 EFFECTS OF EXOGENOUS MELATONIN ON OTHER SLEEP/WAKE

DISORDERS

1.8.1 Blindness

Many blind people keep regular schedules and report few sleep problems.

However, others suffer from periodic insomnia and daytime fatigue which relates to

the inappropriate phase position of endogenous rhythms as a function the desired sleep

times (Miles et al, 1977; Lewy and Newsome, 1983; Klein et al, 1993).

Exogenous melatonin (0.5-5mg) administered close to the desired bedtime can

synchronise the sleep/wake cycle in blind subjects to a 24h day and improve the

quality of life (Arendt et al, 1988; Folkard et al, 1990; Sack et al, 1991; Jan et al,

1994). Similar findings were described after administering 0.5mg earlier in the

evening at 1800h (Palm et al, 1991). However, the timing of administration seems

to be more important for some blind subjects. Tzischinsky et al (1992b) reported

successful treatment of sleep disturbances with melatonin administration at 2000h but

not between 2200-2300h.

1.8.2 Sleep phase syndrome disorders

Difficulties in initiating sleep at night and problems with waking in the

mornings are characteristic features of a type of insomnia known as delayed sleep

phase syndrome. Despite their "sleep onset insomnia" patients generally have no

difficulty in maintaining sleep once initiated with the onset and offset of sleep

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occurring nearly at the same clock times each day (Weitzman et al, 1981).

Individuals often have difficulties in maintaining a normal working life since morning

starts will inevitably curtail sleep and result in daytime fatigue (Alvarez et al, 1992).

There is therefore an inappropriate relationship between the circadian sleep/wake

rhythm and environmental time cues.

Entrainment to the environment can be facilitated with exogenous melatonin.

Late evening melatonin treatment has been shown to advance sleep/wake cycles

towards normal time with an overall improvement in the quality of life (Dahlitz et al,

1991; Alvarez et al, 1992; Tzischinsky et al, 1993).

1.8.3 Insomnia

Supraphysiological levels of melatonin (75mg oral dose) administered in the

late evening improved subjective measurements of total sleep time and daytime

alertness in chronic insomniacs (MacFarlane et al, 1991), although changes in sleep

structure with polygrahic recordings were less clear in a similar group of patients

after 1mg and 5mg of melatonin at 2100h (James et al, 1987). In artificially induced

insomnia, Waldhauser et al (1990) demonstrated significant improvements in sleep

disruption and onset after 80mg melatonin given at 2100h and suggested that these

changes were similar to the effects of hypnotics. Beneficial effects of far lower doses

of melatonin (0.5-5mg) have been observed on disturbed sleep/wake patterns and

overall behaviour in children with chronic neurological disabilities and behavioural

problems, where other sleep management techniques including sedatives, strict

scheduling of the sleep/wake cycle and psychological procedures, had proven

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unsuccessful (Jan et al, 1994).

In conditions where the nighttime melatonin profile has been abolished after

destruction of the pineal gland, the lack of endogenous melatonin may prove to be

detrimental. Petterborg et al (1991b) reported on a subject whose pineal gland had

been destroyed through radiation therapy for a pineal astrocytoma and as a

consequence suffered from insomnia and daytime sleepiness. Daily melatonin

treatment during the late evening improved subjective sleep and daily mood and led

to the synchronisation of growth hormone and prolactin secretory rhythms (melatonin

and temperature were not measured).

1.9 ADVERSE EFFECTS OF MELATONIN

The successful alleviation of behavioural problems by melatonin, with the

realignment of at least the sleep/wake rhythm with the local time cues in a number

of these circadian rhythm disorders, indicates a wide therapeutic spectrum for this

compound. However, the effects of exogenous melatonin on other physiological and

behavioural parameters under a range of doses and under long term treatment must

first be established. Melatonin, even in very high doses has extremely low toxicity

in rodents (Sugden, 1983). In humans, no serious adverse reactions have been

reported to date with short-term or long term use of low doses. Somnolence may

occur, but this may be an important physiological effect of the hormone and not a

pharmacological side-effect, see section 1.10.1.

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1.9.1 Endocrinological effects

Low milligram doses of melatonin have little acute or delayed effects on the

levels of a number of endocrine variables including growth hormone, luteinizing

hormone (LH), testosterone, cortisol, follicular stimulating hormone and thyroxine

even after repeated daily administration for up to one month (Lissoni et al, 1986;

Wright et al, 1986; Waldhauser et al, 1987; Mallo et al, 1988; Petterborg et al,

1991; Terzolo et al, 1993), although in one report melatonin acutely amplified LH

pulses in women when given in the morning (Cagnacci et al, 1991). Slight changes

in prolactin levels may occur but only at certain times of day (Lissoni et al, 1986;

Wright et al, 1986; Waldhauser et al, 1987; Mallo et al, 1988; Terzolo et al,

1993). In much higher doses over longer periods (300mg/day for 4 months),

melatonin has been shown to reduce levels of luteinizing hormone in women. This

preparation in combination with a progestin is undergoing clinical trials as a

contraceptive (Voordouw et al, 1992).

Cortisol and melatonin secretion are thought to be inversely correlated

(Wetterberg et al, 1982). The masked rhythms are, however, readily dissociated

under phase-shifted conditions (Fevre-Montange et al, 1981). Although melatonin

administration to humans may facilitate the reentrainment of cortisol rhythms after a

time zone change (Arendt et al, 1987), in other situations exogenous melatonin will

shift the phase of its own rhythm but not the cortisol rhythm (Wright et al, 1986;

Mallo et al, 1988; Zaidan et al, 1994). It is not surprising that circadian rhythms

show a close correlation to each other under entrained conditions. However, a causal

effect is not supported.

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1.10 ACUTE EFFECTS OF MELATONIN AND BRIGHT LIGHT

1.10.1 Sedative effects of melatonin

Reports of the `hypnotic' effects of melatonin in humans have been

inconsistent. Daytime administration of melatonin given orally, intravenously or

intranasally in doses of 0.3mg to 240mg has been shown to increase drowsiness,

reduce performance and advance sleep onset time (Cramer et al, 1974; Vollrath et al,

1981; Arendt et al, 1984; Lieberman et al, 1984; Waldhauser et al, 1990; Dollins et

al, 1993,1994). Using objective measurements of sleep (polysomnography), Anton-

Tay (1974) reported significant changes in sleep structure with increased REM density

and stage 2 sleep after morning administration of lg melatonin for 6 days. Nickelsen

et al (1989) reported increased drowsiness in the morning (0900h) but not in the

evening (1900h), after an oral dose of 50mg, whereas Arendt et al (1984,1985a)

demonstrated that subjective evening fatigue only increased significantly after 4 days

with 2mg melatonin daily at 1700h. James et al (1987) after late evening (2300h)

treatment of lmg and 5mg melatonin found an increased REM latency with 5mg only,

but the sleep onset and duration were not affected by either treatment. No changes

in sleep structure were identified after 50mg of intravenous melatonin administered

just before bedtime even though psychomotor activity was reduced and latency to

sleep shortened (Cramer et al, 1974).

In summary, there are no clear effects of supra-physiological levels of

melatonin on human sleep architecture when measured objectively. It is only in

conditions of circadian rhythm disturbance that melatonin seems to consistently

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improve sleep quality and adjust the sleep/wake cycle when administered close to the

desired bedtime, see sections 1.7 and 1.8. Whether this improvement in sleep by

melatonin is via sleep inducing/initiating processes and/or circadian mechanisms is

still unclear. It is interesting to note that giving melatonin in doses sufficient to

entrain the motor activity rhythms in the rat, no changes in sleep EEG measurements

have been observed (Tobler et al, 1994).

1.10.2 Arousal/stimulating effects of bright light

In addition to an effect on the circadian system, bright light (z 1000 lux) can

directly and acutely enhance alertness and performance during the night (Campbell

and Dawson, 1990; Czeisler et at, 1990; Badia et at, 1991; Dawson and Campbell,

1991; Hannon et at, 1992) and in the early morning (Clodore et at, 1990), although

it must be noted that in one study, Dollins et at (1993) reported no stimulatory effect

on alertness and performance with light exposure at night. True physiological arousal

with bright light exposure at night has been associated with changes in waking EEG,

but only during the treatment. Badia et at (1991) demonstrated increased beta activity

associated with increased light intensity which was considered to be a reflection of

the stimulating effects of bright light.

The effects of bright light exposure on normal nocturnal sleep are less clear.

In some cases, bright light had no effect on sleep latency (Drennan et at, 1989;

Bunnell et at, 1992), whereas one study demonstrated increased difficulties in

initiating sleep after bright light (Dijk et at, 1991). In the latter study, longer sleep

latencies were associated with elevated body temperature rather than alterations in

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brain electrical activity.

The mechanism of action of the acute effects of bright light remains unknown.

However, it has been suggested that the arousal effects may be mediated via

melatonin and its thermoregulatory effect on temperature (Badia et al, 1993).

1.10.3 Stimulating effect of bright light on body temperature

Further evidence of true physiological arousal with bright light exposure has

been demonstrated with increases in body temperature. It has been shown that, under

sleep deprivation conditions, nighttime administration of bright light of z 2500 lux

versus dim light of <_ 50 lux increased tympanic temperature (Badia et al, 1990a,

1990b, 1991; Murphy et al, 1991; Myers and Badia, 1991); administration of bright

light versus dim light during the day showed no difference (Murphy et al, 1991;

French et al, 1990). In addition, Dijk et al (1991) showed that after a single 3h

exposure of bright and dim light (- 2500 lux) before bedtime, core body temperature

was elevated and remained raised for the initial 4h of sleep after the bright light

treatment. A dose-response curve for the effects of light intensity on tympanic

temperature has been established by Myers and Badia (1993). Body temperature

increases were associated with increasing light intensity but this effect was only

apparent after 2100h, which is the approximate time of the onset of melatonin

secretion in plasma (Lewy et al, 1989).

These acute effects of bright light on temperature are only clear during the

nighttime or darkness hours when bright light has a suppressive effect on melatonin,

suggesting that melatonin may mediate this temperature elevating effect.

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1.10.4 Acute effects of exogenous melatonin on temperature

There is a consistent inverse relationship between the endogenous melatonin

and core body temperature rhythms under normal (Cagnacci et al, 1992), free-running

and non-24h environments (Wever, 1989) which is independent of the sleep/wake

cycle (Akerstedt et al, 1979, Cagnacci et al, 1992).

Melatonin's acute hypothermic properties have been reported in a number of

studies (Carman et al, 1976; Cagnacci et al, 1992; Dawson and Encel, 1993; Dollins

et al, 1994). Suppression of endogenous melatonin levels with the B-adrenergic

antagonist atenolol, attenuated the night time fall in body temperature and reduced the

amplitude by about 40%, suggesting that endogenous melatonin is directly responsible

for at least 40% of the body temperature rhythm (Cagnacci et al, 1992). In addition,

a divided dose of 1.75mg oral melatonin given in the evening completely inhibited

the stimulatory effect of late evening light treatment on body temperature (Cagnacci

et al, 1993).

Strassman et al (1991) have confirmed melatonin's role in the bright light

stimulation of body temperature using a melatonin infusion paradigm (Strassman et

al, 1987) during bright light suppression of endogenous melatonin. Exogenous

melatonin, infused to reproduce an approximate physiological profile, reversed the

bright light-induced elevation of body temperature.

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1.11 POTENTIAL PHARMACOLOGIC AND BEHAVIOURAL TREATMENT

STRATEGIES FOR CIRCADIAN RHYTHM DISTURBANCES

1.11.1 Manipulation of the sleep/wake cycle

One way of speeding up the readaptation of the circadian system to large

phase-shifts could simply involve manipulating the sleep/wake cycle. The principal

is to split the phase-shift over a number of days (Samel et al, 1994). For example,

to achieve a 9h advance phase-shift, the sleep/wake schedule can be advanced by 5

hours one day and then a further 4 hours the following day. This system prevents the

"antidromic" effect where subjects adapt to the new local time cues by delaying

instead of advancing, thereby shortening the time taken to adjust completely (Samel

et al, 1994).

1.11.2 Melatonin agonists and antagonists

New melatonin analogues have recently been developed. Hopefully these will

help to elucidate the function and mechanisms through which melatonin exerts its

effects on body physiology and in particular the circadian system.

In vitro studies have shown that Luzindole (2-benzyl-N-acetyltryptamine)

inhibits the activation of melatonin receptors and may provide a appropriate

pharmacological melatonin antagonist for studying the physiological role of melatonin

(Dubocovich, 1988). Kennaway et al (1989) demonstrated that the melatonin agonist,

6-chloromelatonin, promoted the synchronization of the urinary 6-sulphatoxymelatonin

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rhythm after an 8h shift of the light/dark cycle. Recently the amino acid sequence

of the melatonin receptor has been determined thus enabling the development of

melatonin agonists and antagonists with specific structural relationship to the

melatonin receptor (Ebisawa et al, 1994). Development of newer analogues has

resulted in the formation of napthalene bioisosteres with high affinity and specific

binding to melatonin receptor sites in the pars tuberalis (Yous et al, 1992; Howell et

al, 1991).

One such compound, S-20098 (N [2-(7-methoxy-l-naphthyl) ethyl] amide), has

been shown to facilitate the reentrainment of rat locomotor activity rhythms when

free-running or after an 8h advance shift of the light/dark cycle (Bonnefond et al,

1993; Redman and Guardiola-Lemaitre, 1993). In a rat model for delayed sleep-

phase syndrome, S20098 proved effective in advancing delayed activity rhythms,

resetting to them to darkness onset (Armstrong et al, 1993). In vivo studies have

shown S-20098 to mimic the effects of melatonin in phase-shifting the rhythm of

neural activity of the rat SCN (Mason et al, 1993). Another related melatonin agonist

S-20242 can prevent the age-associated reduction in temperature rhythm amplitude

and stability in rats (Koster-van Hoffen et al, 1993).

In humans, doses of up to 800mg of S-20098 have been well tolerated with

one subject experiencing tachycardia and slight hypotension at 1200 mg (Van Reeth

et al, 1994). Morning administration of S-20098 has shown similar hypothermic

effects to melatonin but at higher doses (Van Reeth et al, 1994).

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1.11.3 Physical activity and hypnotics

In the normal environment, multiple zeitgebers probably act to entrain the

circadian system and when suitably timed may prove useful in resetting the circadian

system after an abrupt shift, or in clinical disorders. In animals, arousal and activity

act as strong zeitgebers. Periods of physical activity and arousal have been shown

to entrain and phase-shift rodent activity rhythms (Mrosovsky and Salmon, 1987;

Reebs and Mrosovsky, 1989; Wickland and Turek, 1991; Hastings et al, 1992).

Recently, the acute phase-shifting effects of single timed pulses of physical activity

at night on the human circadian system have been reported (Van Reeth et al, 1994).

A 3h pulse of exercise prior to the temperature minimum phase-delayed the melatonin

rhythm by 1-2h one day after exercise exposure. Smaller delays were induced after

the temperature minimum.

Benzodiazepines used in the treatment of insomnia, anxiety and other stress-

related problems can induce phase-shifts in rodent activity rhythms (Turek and Losee-

Olsen, 1986). However, this ability is associated with an increase in activity after

administration since restraining hamsters can prevent triazolam-induced phase-shifts

(Van Reeth and Turek, 1989). How increased arousal transducer information into

phase-shifting signals is unknown but is thought to involve the intergeniculate leaflet

of the hypothalamus (Johnson et al, 1988). Connections from here to the SCN

contain the neurotransmitter neuropeptide Y (Moore and Speh, 1993) which has been

shown to phase-shift the neuronal activity in the rat SCN (Medanic and Gillette,

1992). There is also serotonergic input from the raphe nuclei to the IGL and the

SCN which may modulate the phase-shifting response of non-photic zeitgebers

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(Prosser et al, 1990; Smale et al, 1990). 5-HT agonists can phase-shift the clock in

vitro and in vivo similar to those shown by triazolam and other non-photic stimuli

(Prosser et al, 1990; Tominaga et al, 1992).

In humans, benzodiazepines facilitate sleep adaptation after transmeridian

flight, but not the rate of adjustment of the endogenous body clock (Nicholson et al,

1985; Donaldson and Kennaway, 1991). Hypnotics are commonly used to facilitate

sleep and in shift work studies they facilitate sleep during the day and may improve

alertness and performance during the night shift in some people (Bonnet et al, 1988;

Walsh et al, 1991). They may indirectly affect the circadian pacemaker by imposing

a more regimented sleep/wake and therefore light/dark cycle.

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1.12 RESEARCH PROPOSAL AND AIMS OF THESIS

Field studies on jet lag are expensive and difficult to control with the

collection of biochemical data an obvious problem. Laboratory simulations provide

a more controlled setting with which to study these disorders in detail. However,

previous simulations have involved complete isolation from the subjects normal

environment. The primary aim of this work was to develop an experimental model

to simulate circadian rhythm disorders such as jet lag and maladaptation to shift work

without complete environmental isolation and to study melatonin and bright light as

potential treatment strategies.

However, in developing such models, it is important to use a physiological or

behavioural rhythm marker that gives an accurate reflection of the behaviour of the

endogenous biological clock. Overt (measured) circadian rhythms are subject to

behavioural and environmental masking influences such as light, sleep, activity, stress

and meals, and can result in the unreliable estimation of the circadian time of the

internal biological clock. Compared to other circadian rhythm markers melatonin is

less susceptible to exogenous masking influences other than light, and is extensively

used to assess circadian rhythm status. Thus any factors influencing its concentration

other than endogenous rhythmicity must be assessed. Changing posture influences

the levels of a number components in the blood. If melatonin appears to be

influenced by a change in posture then it must be controlled for when designing

studies. The effects of changing posture on melatonin concentrations in plasma and

saliva were therefore assessed.

One method of separating these masking effects from the endogenous profile

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of the temperature rhythm is a mathetical "purification" procedure developed by

Minors and Waterhouse (1988,1992). This procedure was used to "purify" the

temperature data after a simulated rapid time zone (in collaboration with Drs.

Waterhouse and Minors, University of Manchester, UK) to give a more reliable

estimation of the endogenous behaviour of the body clock. The problem of masking

and the usefulness and assumptions of such a procedure are discussed with reference

to the experiment.

Due to the difficulties in measuring the melatonin secretory rhythm in the

blood, non-invasive techniques have been employed to measure the melatonin rhythm

in saliva and its urinary metabolite rhythm in the urine. However, the relationship

between melatonin in the blood, melatonin in saliva and its urinary metabolite under

different conditions must be firmly established. Since most of the following

experiments involve a phase-shift, the relationship between melatonin rhythm

parameters in different mediums were evaluated under normal and phase-shifted

conditions.

Light and melatonin therapy to treat jet lag can be timed to induce phase-

advances or phase-delays, and their respective PRCs mirror each other to some

extent, i. e. they act in opposite directions. Combined treatments have not yet been

studied. In real life, natural light exposure may occur at inappropriate times for the

most expeditious reentrainment of circadian rhythms and oppose the effects of

melatonin treatment. So, after an abrupt phase-shift in local time cues, the beneficial

effects of suitably timed melatonin treatment were studied in the presence of bright

light exposure timed to oppose the phase-shifting effects of melatonin.

Finally, a group of studies were carried out to elucidate the mechanisms

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through which melatonin may exert its beneficial effects on jet lag and other circadian

rhythm disorders.

Experimental treatment for jet lag has commonly involved repeated daily

administration of melatonin at the same time of day to facilitate the reentrainment of

circadian rhythms, but little is known about the phase-shifting effects of single

melatonin treatments. In addition to these circadian effects, melatonin also causes

immediate effects on body temperature and behaviour after acute administration. It

is possible that these effects of melatonin are related. In an attempt to study any

relationship between these phenomena, the effectiveness of a single 5mg melatonin

treatment -a dose commonly used to treat circadian rhythm disorders - to phase-shift

the endogenous clock was compared to its acute effects on temperature and behaviour.

It has been demonstrated that zeitgeber strength - at least with regards to light

- is important in entraining and phase-shifting circadian rhythms. A human dose-

response phase-shifting effect of melatonin has not been demonstrated but would help

to determine optimum doses of melatonin needed to treat jet lag and other circadian

rhythm disorders. The phase-shifting effects of single, low oral doses of melatonin

were studied and compared to their immediate effects on body temperature and

behaviour.

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CHAPTER 2

CLINICAL CONSIDERATIONS PRIOR TO STUDIES.

PHYSIOLOGICAL AND BEHAVIOURAL MEASUREMENTS

AND ANALYSIS

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Clinical considerations prior to studies.

Physiological and behavioural measurements and analysis

2.1 CLINICAL TRIALS: general conditions

2.1.1 Subject criteria

The subjects for these trials were healthy volunteers under no medication

except for minor analgesics and oral contraceptives, except for the studies described

in Chapters 9 and 10. In the latter studies, aspirin-based analgesics and females

taking oral contraceptives were excluded because of their possible influence on body

temperature. Ingestion of any drug throughout the trials was noted.

Further exclusion criteria were as follows:

1) Subjects who had either undertaken a transmeridian flight or night shift work

within one month of the commencement of the trial.

2) Subjects who normally consumed more than two units of alcohol per day.

3) Knowledge or suspicion of pregnancy.

4) Familial or personal history of psychiatric disorders, migraine, epilepsy, sleep

disorders or food allergies.

5) Heavy smokers (> 10 per day).

6) Subjects who had donated blood within the preceding 3 months.

All subjects gave informed consent and the study protocols were approved by

the Advisory Committee on Ethics of the University of Surrey. In addition, in studies

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where blood sampling was necessary, subjects read and signed the University of

Surrey's consent form for the donation of blood for teaching or research.

2.1.2 Details of the melatonin preparation

The melatonin used in all studies is licensed by the FDA for experimental use

in normal human volunteers (M5250 FD). A clinical trials exemption certificate is

held by Prof. J. Arendt (University of Surrey, UK) under who's supervision these

trials were conducted. It is chemically synthesised and supplied by Sigma Chemicals

Co. Ltd. (Poole, Dorset, UK., product no. W 5318-3). It is used either as a gelatine-

lactose capsule, prepared by Penn Pharmaceuticals Ltd. (Gwent, Wales), with quality

control at the University of Surrey, or as specified in the relevant chapters.

Possible side-effects of melatonin

Melatonin has been administered orally (2-10mg) in a number of studies with

minimal side-effects (Arendt et al, 1987; Arendt and Aldhous, 1988, Wright et al,

1986, Samel et al, 1991; Jan et al, 1994). Table 2.1 shows the percentage number

of people who suffered from a particular side-effect as a result of taking melatonin

(5mg) for the alleviation of jet lag in field studies carried out by Prof. J. Arendt

(University of Surrey, UK).

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Table 2.1 Percent side effects reported more than once after taking 5mg melatonin

to alleviate jet lag (from 1984 to Nov. 1994)

Side-effect Placebo (n = 112) Melatonin (n=484)

Sleepiness 1.78 8.3

Headache 2.7 1.65

Nausea 0.9 0.8

Dizziness 0 1.4

2.1.3 Health and safety effects of light

Moderately bright, full spectrum light up to a maximum of 2000 lux at eye

level was used in these experiments. The source of light consisted of a light box with

6-8 light tubes made by True-Lite, Duro-Test Corporation, Fairfield, NJ, USA,

obtained through Full Spectrum Lighting, High Wycombe, Buckinghamshire, UK.

The intensities of light used were much less than that experienced on a bright sunny

day (up to 100 000 lux, Thorington, 1985). Normal artificial room intensity lighting

at eye level ranges from 50-600 lux. Full spectrum light (2500 lux for up to 6 hours)

is used clinically to treat seasonal affective disorder (Terman et al, 1990; Terman and A

Terman, 1990). To date, no problems have been reported even'the use of relatively

high intensity light (10 000 lux) full spectrum light (Terman and Terman, 1990;

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Goodwin, 1992).

The levels of UV light from conventional fluorescent lamps and the light boxes

used are extremely low and not thought to be detrimental to health (Whillock et al,

1988). The trend towards the use of brighter high efficiency sources suggests that

phototherapy lamps are unlikely to have any adverse effects on health and may even

be advantageous.

2.2 COLLECTION AND STORAGE OF SAMPLES

Plasma: Blood samples were collected into lithium heparin tubes and centrifuged

for 15 minutes at 3000g. The plasma was separated carefully within 25 minutes of

collection, and stored at -20°C until analysis.

Saliva: Saliva samples were collected into plastic vials. In some studies saliva

was collected with stimulation by chewing for 2 minutes on parafilm. The method

of collection was constant within each study. There is a possibility that stimulation

may affect salivary melatonin levels through altering salivary flow rates. However,

no significant differences in the ratio between melatonin levels in plasma and saliva

have been observed with and without stimulation of flow rate by chewing gum or

parafilm (McIntyre et al, 1987; Miles, 1989).

Caffeine and smoking were excluded during saliva sampling due to

interference with the assay. All samples were checked for the presence of blood and

food which may have contributed to high salivary melatonin levels in other studies

(McIntyre et at, 1987; Miles, 1989). Samples were stored at -20°C until analysis.

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After thawing, if any samples contained visible particulate matter they were

centrifuged before assay.

Urine: Urine volumes were recorded on collection and a 5m1 aliquot placed

in a plastic vial and stored at -20°C until analysis. aMT6s has been found to be very

stable in urine for up to 5 days at room temperature or 4°C and for up to 2 years at -

20°C either with or without preservative (Bojkowski, 1988).

2.3 RADIOIMMUNOASSAY OF MELATONIN AND aMT6s

2.3.1 Basic principle and summary of procedure

The sample is incubated with a fixed amount of antiserum specific to the

melatonin/aMT6s (antigen) together with trace amounts of radioactive

melatonin/aMT6s (labelled antigen) which competes with the non-radioactive antigen

for the limited number of antibody binding sites. Since the number of antibody

binding sites and the amount of radioactive melatonin/aMT6s is constant, the amount

of radioactivity associated with the antibody is dependent upon the concentration of

melatonin/aMT6s (antigen) in the sample. When equilibrium is established, the free

and antibody-bound fractions of melatonin/aMT6s are separated either by charcoal

adsorption of free antigen or with a second precipitating antibody system.

The melatonin/aMT6s concentration in unknown samples can be determined

by comparing the amount of radioactivity measured in either the bound or the free

fraction to that obtained with a set standards of known concentration.

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2.3.2 RIA of melatonin in human plasma

Plasma melatonin levels were determined by direct RIA using the method

described by Fraser et al (1983) which is used routinely in our laboratory.

Materials: Antiserum (product no. AB/S/02 or AB/S/021) and melatonin-free

plasma (product no. LMHP1), were obtained from Stockgrand Ltd., University of

Surrey, UK. 3H-melatonin (product no. TRK-798) was purchased from Amersham

International (Amersham, Buckinghamshire, UK). 2,5-diphenyloxazole (PPO) and

1,4-bis-[2-(5-phenyloxazolyl)]benzene (POPOP, low sulphur grade) were obtained

from Fisons (UK). All other chemicals including melatonin (product no. M-5250)

were obtained from Sigma Chemical Co. Ltd. (Poole, Dorset, UK).

Reagents

Buffer. All dilutions were made in buffer made freshly every week. This

consisted of tricine (0.1 mol/1), 0.9% NaCl and 0.1% gelatin made up in double-

glass-distilled water (DGDW) to give a stock solution at pH 5.5. In order to dissolve

the gelatin, the buffer was heated to 50°C for 30 minutes.

Antiserum: The antiserum was supplied freeze-dried and was reconstituted with

2m1 of DGDW to provide an intermediate dilution of 1: 10. It was then divided into

50µ1 aliquots and stored frozen at -20°C. Diluting one 501A1 aliquot to 20m1 with

tricine buffer provides enough antiserum for 100 tubes with a dilution of 1: 4000.

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Dextran-coated charcoal: Norit activated charcoal (2 %) was suspended in tricine

buffer for 5 minutes. After centrifugation at 4°C at 1000rpm, the supernatant and any

fines around the sides of the vessel were discarded. The charcoal was resuspended

in the original volume of tricine buffer and then stirred with 0.02 % Dextran T70 for

at least lh at 4°C, before storing at 4°C. The suspension was freshly made each

week.

Radiolabel: An intermediate dilution of the stock 3H-melatonin was prepared by

diluting 20µl to 2m1 in absolute ethanol and storing at -20°C. A working solution was

freshly prepared by further diluting with tricine buffer to give approximately 5000cpm

in 1O0µ1.

Scintillation fluid: The toluene-based scintillant was prepared by adding 12.5g PPO

and 0.75g POPOP to 2.5 litres of toluene.

Melatonin standards: A stock melatonin standard was prepared every 3 months

by dissolving 10mg melatonin in 0.5m1 absolute ethanol. This was made up to lOml

with DGDW to give a concentration of 1 mg/ml and stored at 4°C. The working

standard was freshly made for each assay from this stock solution as follows:

100µ1 of 1mg/ml solution to 100ml in DGDW to give 1µg/ml

500141 of 1µg/ml solution to 50m1 in DGDW to give lOng/ml

125µl of lOng/ml solution to 2.5m1 in melatonin-free plasma to give 0.5ng/ml.

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Standards covering the range 2.5 to 250 pg/ml for the standard curve were prepared

with further dilutions in melatonin-free plasma as follows:

Melatonin standard Melatonin-free Melatonin conc. 0.5ng/ml (µ1) plasma (µl) pg/0.5m1

500 0

5 495 2.5

10 490 5.0

25 475 12.5

50 450 25.0

100 400 50.0

200 300 100

500 - 250

Duplicate tubes were prepared for all samples, standards, non-specific binding tubes,

quality control samples. Total counts tubes were prepared in quadruplicate.

Procedure

Plasma samples, melatonin standards and quality control samples in 500µ1

aliquots were mixed with 200µ1 antiserum then incubated for 30 minutes at room

temperature. 100µl 3H-melatonin were then added, mixed again and the assay

incubated for 18h at 4°C. The antibody-bound melatonin was separated from the free

fraction by mixing with 5001A1 of dextran-coated charcoal then incubating for 15

minutes at 4°C. The charcoal was continuously stirred for 30 minutes prior to

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addition to make sure it was suspended properly in the buffer. Rapid addition of the

charcoal to all assay tubes was necessary to reduce intra-assay variation. After 15

minutes, the assay tubes were centrifuged at 1500g for 15 minutes at 4°C. 7O0µ1 of

the supernatant were transferred into vials containing 4m1 of scintillation fluid. The

vials were then shaken for lh in order to extract all the 3H-melatonin into the organic

phase to provide an appropriate medium for radioactivity detection without quenching.

Radioactivity in the tubes were counted in a suitable B-counter and the sample

concentrations calculated using a'RIAcalc' program.

The RIAcalc program automatically determines the percentage of total counts

bound or free, and then plots them as a function of the known concentrations of

melatonin standards. A curve is fitted through the standard points based on the

smoothing spline calculation method. This fits a continuous curve to each pair of

standard points using the conventional method of least squares, but in addition, it

calculates the best-fitting curve with the minimum number of turning points and is as

smooth as possible. The concentration of the unknown samples are then determined

from this curve.

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2.3.3 RIA of melatonin in human saliva

Salivary melatonin levels were determined using a modification (English et al,

1993) of the direct RIA using the method described by Fraser et al (1983), and used

routinely in our laboratory.

Materials: Antiserum (product no. AB/R/03) was obtained from Stockgrand Ltd.,

University of Surrey, UK. The separation system SAC-CEL (a solid-phase, second

antibody [donkey anti-rabbit] coated cellulose suspension) was purchased from IDS,

Bolden, Tyne & Wear, UK). 125I-2-iodomelatonin was purchased from Amersham

International (Amersham, Buckinghamshire, UK). All other chemicals including

melatonin (product no. M-5250) were obtained from Sigma Chemical Co. Ltd.

(Poole, Dorset, UK).

Reagents

Bq er: as described in 2.1.1 except that 0.2 % gelatine was used and the buffer was

adjusted to pH 8 with 1M NaOH.

Antiserum: The antiserum was supplied freeze-dried (133µl of a 1: 10 dilution) and

was reconstituted with 2m1 DGDW to provide an intermediate dilution of 1: 150.5O1&1

aliquots were stored at -20°C. Diluting one 501A1 aliquot to lOml with tricine buffer

provided enough antiserum for 100 tubes with a dilution of 1: 30 000.

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Separation system: A solid phase second antibody coated cellulose suspension,

SAC-CEL, was used as supplied.

Radiolabel: "I-2-iodomelatonin was diluted in buffer to give approximately 10 000

cpm in l00µ1.

Melatonin standards: The stock solution was prepared as described in section 2.1.2.

The working solution was freshly prepared as follows:

10011 of lmg/ml melatonin solution to 100ml in DGDW to give 1µg/ml

5O01A1 of 1µg/ml melatonin solution to 50m1 in DGDW to give lOng/ml

5O1A1 of long/ml melatonin solution to 2.5m1 in buffer to give 0.2ng/ml

Standards covering the range 2 to 200 pg/ml for the standard curve were prepared

with further dilutions in buffer as follows:

Melatonin standard Assay buffer Melatonin conc. 0.2ng/ml (µl) (µl) pg/ml

500 0 5 495 2 10 490 4 25 475 10 50 450 20 125 375 50 250 250 100

500 - 200

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Duplicate tubes were prepared for all samples, standards, non-specific binding

tubes, quality control samples. Total counts tubes were prepared in quadruplicate.

Procedure

Saliva samples, quality controls and standards in 500141 aliquots were incubated

with 100141 antiserum at room temperature for 30 minutes. 100µl of '25 I-2-

iodomelatonin were added and the assay was incubated at room temperature for 4h.

The antibody-bound melatonin and free fractions were separated using 100/41 of SAC-

CEL. After addition, the assay was intermittently mixed for lh at room temperature,

centrifuged at 1500g for 10 minutes at 20°C and the suspension discarded.

Radioactivity of the remaining pellet was measured in a gamma counter and the

sample concentrations read from the standard curve using a `RIACa1c' program.

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2.3.4 RIA of 6-sulphatoxymelatonin in human urine

6-sulphatoxymelatonin (aMT6s) levels were determined using the method

described by Aldhous and Arendt et al (1988), and used routinely in our laboratory.

Materials

Antiserum (product no. AB/S/04), 'I-aMT6s, charcoal-stripped (aMT6s-free)

urine and aMT6s standard were obtained from Stockgrand Ltd., University of Surrey,

UK. All other chemicals were obtained from Sigma Chemical Co. Ltd. (Poole,

Dorset, UK).

Reagents

Buffer. - as described in 2.1.1 .

Dextran-coated charcoal: as described in 2.1.1

Antiserum: The antiserum was supplied freeze-dried and was reconstituted with

1ml DGDW and 9m1 of buffer added to provide an intermediate dilution of 1: 100.

100µl aliquots were stored at -20°C. Diluting one 50µl aliquot to 20m1 with tricine

buffer provided enough antiserum for 100 tubes with a dilution of 1: 20 000.

Radiolabel: `I-aMT6s was diluted in buffer to give approximately 8000 to 10 000

cpm per l00µ1.

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Charcoal-stripped urine: This was supplied freeze-dried (1O01A1 per vial) and was

reconstituted with 25m1 buffer to give a dilution of 1: 250.

aMT6s standards: The stock was supplied as 200pg/ml diluted in 1: 250 with charcoal-

stripped plasma. Standards covering the range 2 to 50 ng/ml for the standard curve

were prepared with further dilutions in buffer as follows:

aMT6s standard aMT6s-free urine aMT6s conc. 200pg/ml(µ1) 1: 250 dilution (µl) ng/ml

500 0

5 495 0.5

10 490 1

20 480 2

40 460 4

70 430 7

100 400 10

200 300 20

500 - 50

Duplicate tubes were prepared for all samples, standards, non-specific binding

tubes, quality control samples. Total counts tubes were prepared in quadruplicate.

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Procedure

Urine samples were diluted 1: 250 with buffer prior to the assay. Urine

samples, quality controls and standards in 500141 aliquots were incubated with 200µ1

antiserum at room temperature for 30 minutes. 100µ1 of ' I-aMT6s were then added,

mixed again and the assay incubated for 15-18h at 4°C. The antibody-bound aMT6s

was separated from the free fraction by mixing with l00141 of dextran-coated charcoal

then incubating for 15 minutes at 4°C. The charcoal was continuously stirred for 30

minutes prior to addition to make sure it was suspended properly in the buffer. Rapid

addition of the charcoal to all assay tubes was necessary to reduce intra-assay

variation. After 15 minutes, the assay tubes were centrifuged at 3500g for 15

minutes at 4°C and the supernatant immediately discarded. Radioactivity of the non-

antibody-bound fraction in the charcoal pellet was counted in a suitable gamma

counter and the sample concentrations calculated using a' RlAcalc' program.

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2.4 LIGHT INTENSITY MEASUREMENT

Light intensity was measured using a handheld digital light meter obtained

from Full Spectrum Lighting, High Wycombe, Buckinghamshire, UK. Measurements

were taken at eye level directly in front of the eyes towards the light source and other

fields of view likely to be used by the subjects (i. e. towards computer screen,

television, etc. ).

2.5 CORE BODY TEMPERATURE

Core body temperature was recorded every 6 minutes using rectal probes and

Squirrel Minilogger recording devices (Grant Instruments, Cambridge, UK). Subjects

wore rectal probes and recording devices continuously except during

defecation/showering/bathing when necessary. Perception of the probe decreased

after one day.

2.6 ACTIVITY DIARIES

Subjects were required to record their activity in a diary during each day of

the study (certain experiments only). The day was divided into half-hourly intervals

and subjects ticked the appropriate box if they:

1) consumed any food/drink (identifying a meal as opposed to a snack)

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2) exercised (anything more intensive than walking)

3) relaxed (rested)

4) were stressed

5) any drug ingestion and alcohol

6) removed the temperature probe

7) were sedentary whilst working

8) were showering

within the half-hour.

These diaries were necessary to determine reasons for missing or erroneous

values in the raw data and to assess subject conformity. In addition, they enabled

exogenous influences (e. g. exercise and stress) which affect body temperature to be

mathematically removed to give a more accurate profile of the endogenous

temperature rhythm, see Chapter 7.

2.7 BEHAVIOURAL MEASUREMENTS

All behavioural assessments were performed using handheld computers, Psion

Organisers (Psion UK, Greenford, UK). Programs for the Psions were written and

kindly provided by Dr P. Totterdell (University of Sheffield, UK) and Professor S.

Folkard (University of Swansea, UK) who have used this method of recording

behavioural parameters extensively (Totterdell and Folkard, 1992).

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2.7.1 Mood and sleep quality ratings

Subjective alertness was rated on a visual analogue scale as follows:

Very drowsy Very alert

The extreme right end of the line represented the most alert a subject ever felt, and

the extreme left end of the scale the most drowsy that they ever felt. In a similar

fashion subjective cheerfulness (Very sad ý--- Very happy), calmness (Very calm

ý----º Very tense) and sleep quality (Very poor ý--ý Very good) were rated.

Since these ratings were purely subjective and depended to a great degree on

how individuals interpreted these scales, subjects were used as their own controls.

2.7.2. Sleep logs

Subjects completed sleep logs daily on waking and recorded:

1) time of retiring to bed, 2) time of trying to sleep, 3) how long it took to fall

asleep, 4) number of night awakenings, 5) the total duration of night awakenings,

6) time of waking and 7) time of getting up. Sleep quality was rated on a VAS as

described above. The sleep logs and sleep quality scales used were originally

developed by Prof. A. Borb6ly (University of Zurich, Switzerland).

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2.7.3 Performance measurements: Search and memory (SAM) tests

Subjects were required to memorise either one (SAM-1) or five (SAM-5)

letters of the alphabet after which they were shown two lines of alphabetic characters.

Every time a memorised letter was recognised they pressed a key on the computer.

Subjects performed these tasks as quickly as possible whilst keeping their performance

as accurate as possible. For example, when required to identify the letters RKTL

Z in the following sequence of letters:

GHjJVSYPRVBMFGBHJM

FGDWZXCFWGLVQWQZQWYJH

the response key would be pressed 8 times (the target letters have been highlighted

and underlined as an example).

The performance parameters of accuracy, response time and efficiency were

determined from the data and were defined as the percentage of correct responses,

time taken to complete the task and accuracy/square root response time. Since

performance variables are highly dependent upon the individual, for example some

people are naturally slow but accurate, others are naturally quick but inaccurate,

subjects were used as their own controls. Where grouped comparisons were

necessary all values were taken as a percentage of the individuals own baseline before

grouping.

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2.8 COSINOR ANALYSIS

Circadian rhythms are not only characterized by the period (i. e. the rhythm

repeats itself about every 24h) but also the shape, amplitude and mean level. The

studies described in this thesis were concerned with the phase (time) relationship

between endogenous circadian rhythms and the environmental zeitgebers after induced

phase-shifts together with the amplitude of the rhythm. The rhythmic parameters can

be determined using various curve-fitting programs or just through visual inspection

of the data. However, interpreting the phase or amplitude of the rhythm from a set

of data can often lead to unreliable estimates, especially where there are difficulties

in the collection of data. For example, comparing the maximum/minimum values

from infrequent data points in a 24h profile to identify phase differences from day to

day can lead to problems associated with using a single possible aberrant value and

which may not be the actual maximum or minimum point of the rhythm. The

frequency of sampling is therefore of considerable importance when trying to identify

the true parameters. In some cases, e. g. urine collection, frequent sampling is

impractical and integrated samples are obtained over a period of time after

accumulation in the bladder. This obviously leads to a loss of definition of the

circadian profile since each sample represents a average of values over the whole

collection period. However, urine sampling is convenient and practical and provides

accurate estimates of total 24h excretion.

One method of estimating the parameters of a rhythm based on all the

collected sample points is to fit a curve which "best fits" the data. This can provide

a powerful means of calculating rhythmic parameters with irregular and infrequent

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sampling points.

One curve-fitting method known as "cosinor analysis" provides measures of

all parameters except for the shape of the rhythm which it assumes to be sinusoidal

in shape (Nelson et al, 1979; Minors and Waterhouse, 1988). The best-fitting cosine

curve is fitted to the data by the conventional method of least squares. Estimates of

the amplitude (variation in concentration over time), acrophase (peak time) and mesor

(mean concentration over time) of the rhythm are provided from the "best-fitting"

cosine curve. Figure 2.1 illustrates the terms used to describe these circadian rhythm

parameters.

Acrophase (time of peak)

Nadir (time of minimum)

Figure 2.1 Parameters of a circadian rhythm

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A major assumption of cosinor analysis is that the rhythm fits a cosine curve

even though many rhythmic circadian functions clearly do not. There may also be

instances where the shape of the rhythm changes such as after time-zone travel or

workers on alternating night/day shifts. In order to check whether the cosinor-

derived parameters are valid, two estimates of the "goodness of fit" are determined.

Firstly, cosinor analysis identifies whether the data are more likely to fit a straight

line as opposed to a cosine curve. A "significant fit" is set at p<0.05 such that the

probability that the data will fit a straight line is !. 5%. Secondly, the percentage

variability in the data accounted for by the cosine curve (% rhythm) is given. A

100% rhythm would indicate a perfect fit.

In order to use this method of cosinor analysis, the period of the rhythm must

be known or assumed. Under entrained conditions where the subject is exposed to

the normal 24h zeitgebers, the period of the rhythm is expected to be 24h. However,

by stating a range of periods for the cosinor analysis program, it is possible to

identify the probable period of the rhythm by identifying the period with the best %

rhythm and lowest probability of a straight line fit.

In the following studies, cosinor analysis was used to identify whether a

particular 24h data set reliably fitted a 24h cosine curve during the baseline or control

days under normal entrained conditions. Repeated measures ANOVA was used to

confirm a significant time of day (rhythmic) effect. If significant rhythmicity was

established by these two measures, all subsequent comparisons were made with

respect to the control values. An estimate of reentrainment (and reestablishment of

24h cosinor rhythmicity) were provided by the two estimates of "goodness of fit"

described above. Comparisons with raw data profiles and ANOVA performed on the

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raw data were used to confirm the results from cosinor analysis.

Since for some performance and mood parameters, the number of data points

collected in one day was small and only obtained during wakefulness, several days'

data were combined to achieve a more reliable estimate of rhythmic parameters using

cosinor analysis (Arbogast et al, 1983).

There are other methods of determining rhythm parameters (see Klemfuss and

Clompton, 1993 and Refinetti, 1993 for comparison of methods), but few allow the

phase of the rhythm to be estimated. Cosinor analysis provides an appropriate

method of determining the phase and amplitude of circadian rhythms (Minors and

Waterhouse, 1988) and was therefore employed in the studies described in this thesis.

However, comparison of the cosinor-derived values with raw data were used to

confirm the results. The cosinor analysis program used was written and kindly

provided by Dr D. S. Minors (University of Manchester, UK).

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CHAPTER 3

INFLUENCE OF POSTURE ON MELATONIN

CONCENTRATIONS IN PLASMA AND SALIVA

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Influence of Posture on Melatonin Concentrations in Plasma and Saliva

3.1 INTRODUCTION

The force of gravity causes significant changes in the human circulatory

system and with the continual changing of posture in everyday life the influence of

gravity on various blood parameters becomes apparent. In healthy subjects, when an

upright position is adopted after lying recumbent (supine), the plasma volume is

reduced and the concentration of various plasma components, especially that of the

proteins and of the constituents bound to them, increases. This rise in plasma

constituent concentration is in the order of 10-20% and the effect is reversible on

reversing the postural position (Stoker and Wynn, 1966; Husdan et al, 1973; Tan et

al, 1973; Hagan et al, 1978).

The pineal hormone melatonin is secreted into the blood in a highly stable and

reproducible pattern within individuals (Broadway et al, 1987). An important feature

of its secretion is that, with the exception of light (Lewy et al, 1980; Bojkowski et

al, 1987a; McIntyre et al, 1989a), it is less susceptible to behavioural and

environmental masking (disturbing) influences, than other overt (measured) circadian

rhythms such as core body temperature and cortisol secretion. These latter rhythms

are masked by factors including sleep, waking, meals and stress (Czeilser et al, 1976;

English et al, 1982; Chapter 7) and can lead to inaccurate estimates of the circadian

time of the internal biological clock. For this reason the melatonin circadian rhythm

is thought to provide an appropriate and reliable marker of the endogenous biological

horologue under normal conditions, as well as in constant routine and in other

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isolated environments.

Although melatonin, a lipophilic molecule, easily filters through capillary

membranes, up to 70% of melatonin may be weakly bound to albumin (Cardinali et

al, 1972) which is not readily diffusible, and albumin-bound hormones do not pass

into the surrounding tissues (Riad-Fahmy et al, 1982); the ratio of albumin in plasma

to saliva is 10,000: 1 (Vining and McGinley, 1984). It is therefore possible that a

shift in posture may cause a change in plasma melatonin levels.

Salivary melatonin is thought to reflect closely the changes in plasma

melatonin levels (Vakkuri, 1985; Miles et al, 1987; McIntyre et al, 1987; Nowak et

al, 1987), and since saliva is becoming a routine method of determining melatonin

secretion it is important to consider the effects of posture on salivary melatonin levels

as well. It is the purpose of this investigation to study the possible masking influence

of posture on melatonin levels.

3.2 SUBJECTS and METHODS

3.2.1 Subjects

7 healthy volunteers (3M: 4F), aged 24-35 years (26.3 ±4 years, mean f

SD), one of whom was a smoker, refrained from heavy exercise and drinking

alcoholic beverages or those containing caffeine for 12 hours prior to and during each

stage of the study. On each day of the study, the subjects moderated their fluid

intake to no more than 1.5L daily.

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3.2.2 Design

The 4-day study was divided into two periods (stages 1 and 2) of 2 days, 1

week apart, and was performed in October during the rising phase of the melatonin

rhythm, between 2100h and 0130h. On all 4 days subjects remained in a sitting

position from 2100-2400h and under domestic lighting (150-300 lux) from 2100-

2300h. From 2300-0130h, subjects remained awake under dim light (< 10 lux).

After this baseline period the treatments were applied within each stage as a

randomised crossover design. From 2400h the subjects assumed a different postural

position as follows:

Stage la: 2400h - standing, 0030h - supine, 0100h - standing,

Stage lb: 2400h -supine, 0030h - standing, 0100h - supine,

Stage 2a: 2400-0130h - supine,

Stage 2b: 2400-0130h - standing.

Brief, minimal and slow movement was allowed throughout each stage.

3.2.3 Sampling

Blood samples (5 mis, collected by dim red torch light, < 10 lux, after

2300h) and saliva samples (after chewing on parafilm) were taken hourly via an

indwelling forearm cannula, from 2100-2400h and then every 10 minutes from 2400h

until 0130h. Only limited water was allowed immediately after saliva sampling, to

reduce any possible interference with salivary melatonin estimation. Urine was

collected to determine any differences in aMT6s excretion due to changes in posture.

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After completely voiding the bladder at 2400h, urine was collected at the end of 90

minutes in the supine (stage 2a) and standing (stage 2b) positions.

Samples were collected, stored and analysed as described in section 2.2. The

interassay coefficients of variation for the plasma assay were 12.4%, 9% and 7.3%

at 19.4,36.8 and 191 pg/ml (n =10). The interassay coefficients of variation for the

saliva assay were 16%, 10%, 9% and 6% at 8.7,20,36 and 58 pg/ml (n=8). For

aMT6s, the interassay coefficients of variation were 16.8%, 11.6% and 5.8% at 2.4,

14.7 and 31 ng/ml. The minimum level of detection for each assay was 3.8 ± 0.24

pg/ml, 1.9 ± 0.15 pg/ml and 0.3 ± 0.05 ng/ml (mean ± SEM), respectively.

3.2.4 Statistical analysis

All plasma and salivary melatonin values were calculated as a percentage

change in melatonin levels from the initial point of assuming a different postural

position. Each subject was used as their own control, in view of the large inter-

individual differences in melatonin levels (see section 1.3). Since each stage was of

a random crossover design, any differences between standing and supine positions

were compared between stage la and b and between stage 2a and b. Area under the

curve (AUC) analysis followed by Student's paired t-tests (two-tailed) were used to

identify significant differences between postures. Paired comparisons were also made

at each 10 minute sampling point between standing and supine using Student's paired

t-tests (two-tailed). Correlations between plasma and salivary melatonin levels were

carried out using Pearson's correlation. All values lower than the detection limit of

the assay were excluded from the calculations. This corresponded to 5% of the

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plasma melatonin data and 6% of the salivary melatonin data. All values are quoted

as mean ± SD unless stated otherwise.

3.3 RESULTS

All subjects completed stage 1. Four subjects completed stage 2 and one

further subject completed stage 2a and 60 minutes of stage 2b. No subject reported

any oral lesion and no blood contamination was observed in the saliva samples.

However, salivary melatonin was unmeasurable in the one subject who smoked,

through contamination or interference in the assay, and was discarded from the

analysis of salivary melatonin.

Figure 3.1 shows the percentage change in melatonin levels within 30 minute

periods in alternate postural positions from 2400h. Changing from standing to supine

and back to standing (stage la), and vice versa when the positions were reversed

(stage lb), caused marked differences in percentage change of both plasma and

salivary melatonin levels. AUC analysis identified significant differences between

standing and supine positions with greater increases associated with the standing

position (Figure 3.1). Significant changes between postures were observed within 10

minutes in all three time periods for plasma melatonin, Figure 3.1 A. Differences

in salivary melatonin levels between standing and supine positions were less

significant than with plasma, Figure 3.1 B. Table 3.1 shows the mean difference in

% change between the two postures.

Figure 3.2 shows the individual profiles for the percentage change in plasma

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melatonin levels over a 90 minute period between stages 2a and b. Differences

between standing and supine positions were significant for plasma melatonin only

(p<0.01) with AUC analysis. The changes in salivary melatonin levels were more

variable and proved not to be significant, Figure 3.3.

Good correlation between plasma and salivary melatonin concentrations was

obtained during hourly sampling (r=0.83, p<0.0001, y= 0.59 [± 0.01]x -2 [±

1.2]) from 2100-2400h. Although still highly significant, the correlation between the

two melatonin mediums was not as good during short term sampling (r=0.555,

p<0.0001, y= 0.23 [± 0.02]x + 5.7 [± 0.9]). Salivary melatonin levels were

estimated to represent 46.2 ± 18.1 % and 40.4 ± 18.7% during hourly and 10 minute

sampling, respectively, of the corresponding plasma levels.

There were no significant differences in aMT6s levels between standing and

supine positions. After 90 minutes in the standing position, aMT6s levels were

calculated to be 103 ± 17% of the levels found after an equivalent period lying

recumbent.

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Figure 3.1 Immediate effect of posture on plasma and salivary melatonin levels in alternate postural positions

A. 120r-

100

-20 '

-60J

" Standing 0 Supine

T

" Supine 1" Standing jO Standing j0 Supine

i

riiiII ýý

2400/0 10 20 30/0 10 20 30/0 10 20 30

Time (h/mins. )

B.

2400/0 10 20 30/0 10 20 30/0 10 20 30

Time (h/mins. )

Percentage change in A. plasma melatonin and B. salivary melatonin levels within 30 minutes in alternate postural positions from 2400h. Mean +/- SD, plasma: n=7, saliva: n=6. * p<0.05, ** p<0.01, *** p<0.001: significant differences between standing and supine positions (Stage la (S) versus stage lb (p), paired t-test, two-tailed).

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Table 3.1 Mean (± SD) difference and range in % change in melatonin levels

between standing and supine positions.

Plasma

Stage 1

2400-0030h

0030-0100h

0100-0130h

35.2 ± 21.3 (n=7)'

range -7.5 to 78

33.5 ± 16.2 (n=7)"

range 5.6 to 85

36.7 ± 17.5 (n=7)"

range 7.8 to 71

Saliva

42 ± 27 (n=6)**

range -16.9-81

30.9 ± 34.4 (n=6)

range -23 to 113

31.9 ± 44.8 (n=6)

range -21 to 88

Stage 2

2400-0130h

2400-0100h

18.6 ± 14.8 (n=4)"

range -13 to 59

34.1 ± 41.7 (n=5)

range -13 to 132

25.7 ± 46.3 (n=4)

range -41.8 to 93.1

28.6 ± 43.9 (n=5)

range -41 to 93

'p<0.05, "p<0.01: significance determined from AUC analysis followed by paired

t-test.

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Figure 3.2 Long term effects of posture on plasma melatonin levels

150

100

50

Upright , Standing/Supine

Subject 1

Subject 5

50

-100 A

300

200

100

0 -100- 200-

150-

100-

50-

A

-50-1 2200 0 10 20 30 40 50 60 70 80 90 2100 2300

Upright i Standing/Supine

250

150

-100 2200 0 1020 30 40 50 60 70 80 90 2100 2300

Time (h/mins. )

Time (h/mins. )

Individual profiles showing the percentage change in plasma melatonin levels after adopting a supine (0, stage 2a) or a standing (0, stage 2b) position for 90 minutes from 2400h. Significant difference (p<0.01) over 90 minutes between supine and standing positions (n=4, excluding subject five, AUC analysis, paired t-test). The changes in plasma melatonin levels reached significance (p<0.05, paired t-test, n=4) at 20,40,50,60 and 70 minutes between stages 2a and 2b.

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Figure 3.3 Long term effects of posture on salivary melatonin levels

t

15

10

5

-5 "9 .9

5/-10

e 01 . - -5

-10

20/-15

15

10

5

0

-5

Upright ; Standing/Supine Subject 2

2200 010 20 30 40 506070 8090 2100 2300

Time (h/mins. )

Upright ; Standing/Supine

2200 010 20 30 40 50 6070 80 90 2100 2300

Time (h/mins. )

Individual profiles showing percentage change in salivary melatonin levels after adopting a supine (  , stage 2a) or a standing (0, stage 2b)

position from 2400h for 90 minutes. No significant differences between postures were seen.

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3.4 DISCUSSION

When moving from a supine position to a standing position, blood volume

becomes redistributed from the central pool within the chest, to the lower limbs

where small molecules pass through the capillary membranes into the interstitial space

by diffusion due to the increased fluid pressure in the plasma. The plasma volume

is reduced, thus increasing the concentration of nonfilterable blood constituents such

as red cells, and proteins together with their bound components (Stoker and Wynn,

1966; Husdan et al, 1973; Tan et al, 1973; Hagan et al, 1978), including albumin-

bound hormones (Riad-Fahmy et al, 1982).

The results from this study indicate that changing from the standing to the

supine position caused a marked fall in plasma and salivary melatonin levels which

was reversed on returning to the standing position once again. When these positions

were reversed over the same period of time an opposite effect of similar magnitude

was seen. These differences were significant for plasma melatonin within 10 minutes

as calculated between stages la and lb and within 20 minutes comparing stages 2a

and 2b. These changes showed no reliable (p > 0.1) progressive change with time

indicating that the changes in plasma melatonin levels associated with the effects of

posture were rapid and remained constant after approximately 20 minutes. This

agrees well with other posture-related studies affecting various blood constituents

where little change occurred after 20 minutes (Hagan et al, 1978; Tan et ao.

The effects on salivary melatonin levels were more variable. This may be

associated with frequent and forced sampling (every 10 minutes) which probably

changes salivary composition and secretory mechanisms of the gland (Dawes, 1972),

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modifying the true melatonin concentration in saliva. A high degree of correlation

between plasma and salivary melatonin levels was observed throughout hourly

sampling similar to that shown previously by other studies (Vakkuri, 1985; McIntyre

et al, 1987; Nowak et al, 1987; Miles et al, 1985,1987). Although the overall

proportion of melatonin levels in saliva to plasma, throughout hourly and 10 minute

sampling, remained comparable, the correlation fell considerably throughout 10

minute sampling. Only the linear relationship throughout hourly sampling

corresponded well with previous studies. For example, McIntyre et al (1987)

demonstrated a correlation of r=0.90 and the regression relationship as:

y (salivary melatonin) = 0.55 [± 0.05] x (plasma melatonin) - 2.6 [± 2.1]

(f SEM).

Differences in urinary aMT6s output associated with alterations in posture

might be expected to be delayed due to liver metabolism and renal excretion

processes. Therefore changes were likely to become apparent after 90 minutes.

However, there were no differences in urinary aMT6s output between standing and

supine positions, suggesting that the changes in melatonin concentrations observed in

plasma and saliva were likely to be fluid distribution effects rather than a change in

total melatonin output.

Abalan et al (1992) recently noted a difference of 32.6% ± 34.3 (mean f

SD, range: -20% to 91 %) in total plasma cortisol - another circadian phase marker -

on standing for 40 minutes compared to remaining supine, during the rising phase

of the cortisol rhythm. A similar difference in plasma and salivary melatonin levels

was observed in this study even though sampling was more frequent and over

different periods of time.

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Although considerable interindividual variation was evident, these results

indicate that posture has a masking effect on plasma and salivary melatonin levels.

Changes due to posture may prove to be important when interpreting data from

subjects in different postural positions, for example, comparing bedridden patients and

healthy controls, and may have implications in situations where the body is exposed

to other environments where body fluid shifts are also experienced, such as

spaceflights, water immersion and exercise. Changes in melatonin and cortisol levels

due to posture may alter circadian parameters such as daily means and amplitudes and

influence acrophase values. Samel et al (1993) studied the effects on the circadian

system of 7 days of bed rest with a constant sleep/wake cycle and a regular

photoperiod. Although neither melatonin or cortisol were measured, small changes

in rhythm acrophases were evident for noradrenaline, adrenalin, potassium, heart rate

and urine volume and significant changes in rhythm amplitudes were observed. These

changes may be attributable to inactivity and posture.

This study indicates the necessity for standardising the timing of blood

sampling and indeed saliva sampling with prior knowledge of the postural position

and the time in that position. Care should also be taken in the interpretation of

results from high frequency saliva sampling.

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CHAPTER 4

INDUCING CIRCADIAN RHYTHM DISTURBANCES IN

PARTIAL ENVIRONMENTAL ISOLATION: AN INITIAL

STUDY.

COMPARISON OF THE MELATONIN RHYTHM IN

PLASMA, URINE AND SALIVA BEFORE AND AFTER A

FORCED PHASE SHIFT

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Inducing circadian rhythm disturbances in partial environmental isolation: an initial study

- Comparison of the melatonin rhythm in plasma, urine and saliva before and after a forced phase-shift

4.1 INTRODUCTION

Rapid time-zone change and shift work can lead to conflict between the new

external time cues (zeitgebers) and the internal biological horologue with consequent

physiological disturbances and deleterious effects on, for example, sleep and

performance (Seigel et al, 1969; Fevre-Montange et al, 1981; Winget et al, 1984;

Touitou et al, 1990). One treatment strategy for facilitating the adaptation of circadian

rhythms to rapid shifts in external time cues and alleviating the associated behavioural

problems, is the use of bright light (Daan and Lewy, 1984; Czeisler et al, 1990;

Eastman, 1992).

When suitably timed, bright light of sufficient intensity and duration will

induce phase-shifts in physiological variables such as core body temperature, cortisol

and melatonin secretion (Czeisler et al, 1986; Broadway et al, 1986,1987; Dijk et

al, 1987,1989; Lewy et al, 1987; Minors et al, 1991; Shanahan and Czeisler, 1991;

van Cauter et al, 1994), even when other zeitgebers, such as the sleep/wake cycle and

social cues, are kept constant (Czeisler et al, 1986; Lewy et al, 1987). When a light

pulse is used in combination with a shift in the sleep/wake schedule, far greater

phase-shifts can be achieved (Czeisler et al, 1989; Shanahan and Czeisler, 1991).

The magnitude and direction of the shift in melatonin and core body temperature

rhythms are similar when measured under constant routine (`unmasked') conditions

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suggesting a common control mechanism (Shanahan and Czeisler, 1991).

The establishment of a phase-response curve for light has allowed predictions

of the magnitude and direction of the shift based upon the timing of the light pulse.

Exposure to bright light in the evening can delay circadian rhythms and morning light

exposure will produce advance shifts, with the greatest shifts achieved with light

exposure close to the temperature minimum (Minors et al, 1991, Czeisler et al, 1989,

section 1.4). Such a phase-response curve for light may be applied to treat circadian

rhythm disorders such as jet lag and maladaptation to shift work (Daan and Lewy,

1984; Czeisler et al 1990; Eastman, 1992). It may also provide a means of

simulating such disorders in a laboratory.

Field studies of shift workers and jet travellers are expensive and difficult to

control. One primary aim of this study was to devise a simple, rapid and inexpensive

method to study the adaptation of circadian rhythms, sleep, mood and performance,

during and after a phase-shift without complete environmental isolation. In this initial

study a combination of moderately bright light and subsequent imposed darkness (and

sleep) was used to induce a gradual and slow phase-shift of the circadian system in

the laboratory. Subjects then resumed their baseline sleep/wake cycle, in their normal

environment, inducing a rapid shift of external time cues similar to that experienced

by jet travellers or shift workers. The subsequent readaptation of the subjects in their

normal environment was then studied.

Under normal environmental conditions melatonin is less susceptible to

masking (disturbing) influences by external factors, other than light (Lewy et al,

1980), compared to other circadian rhythms such as core body temperature and

cortisol secretion. Melatonin was therefore employed as an appropriate tool for

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measuring the phase of the internal body clock. The usefulness of self-rated alertness

as a behavioural circadian rhythm marker was assessed.

Melatonin has been variously measured and compared in plasma, saliva, and

its metabolite aMT6s in urine under normal environmental conditions (Arendt et al,

1985b; Markey et al, 1985; Vakkuri, 1985; Bojkowski et al, 1987b; McIntyre et al,

1987; Nowak et al, 1987). The onset of its secretion in dim light has been

extensively used by Lewy and co-workers as a circadian phase marker (for example,

Lewy and Sack, 1989). A second aim of this study was to assess the relative validity

of these various approaches in determining the circadian phase position under normal

and phase-shifted conditions.

4.2 SUBJECTS and METHODS

4.2.1 Subjects

6 healthy volunteers (3M: 3F), aged 22-26, under no medication and all non-

smokers, refrained from heavy exercise and caffeine-containing drinks for 12 hours

before sampling of body fluids and restricted their alcohol consumption (maximum

2 units per day) throughout the experiment. Using the Home and Osterberg

Morningness/Eveningness questionnaire (1976), four subjects were classified as

"moderately morning" types, one as an "intermediate" type and one as a "moderate

evening" type.

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4.2.2 Study design

The study was performed in early December 1991. Figure 4.1 shows a

diagrammatic representation of the study.

DAYS (D)

-7 -6 -5 -4 -3 -2 -1 01234567

Baseline

Regular sleep/wake cycle and normal environment

Slow, forced Post-treatment: 6h delay Readaptation to a normal

phase-shift environment with baseline sleep/wake cycle.

Rapid 6h advance phase-shift

Figure 4.1 Diagrammatic design of the study.

Baseline: For one week prior to light treatment (days (D) -7 to 0), the subjects

were required to maintain a regular sleep/wake schedule, retiring to bed at 2330h and

waking at 0800h, remaining in the dark (< 1 lux) between these times.

Light/Dark Treatment: Immediately following the baseline week, the subjects

were exposed to a 6h pulse of moderately bright, full spectrum light (average 1200

lux at eye level) at progressively later times over 3 consecutive days. The light

treatment occurred during the following periods:

DI: 2000-0200h, D2: 2200-0400h, D3: 2400-0600h .

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Each period of light treatment was followed by 8 hours of imposed darkness

(< 1 lux). During the remaining hours of each day strict light control was not

imposed until dusk (1630h), but the subjects were asked to refrain from periods of

exposure to bright sunlight. From dusk until the light treatment period, subjects

remained in domestic intensity light (150-300 lux at eye level). Throughout the light

treatment (D1-3) meal-times were shifted progressively by 2 hours each day in line

with the imposed light/dark and sleep/wake cycle. Subjects were allowed to choose

their activity (e. g. reading, writing, watching videos) as long as they glanced

periodically (at least every 5 minutes) at the light source. They were continuously

supervised throughout these periods.

Post-Light/Dark Treatment: Immediately following the last light/dark treatment (i. e

after 1400h on D4), subjects were required to assume the baseline sleep/wake

schedule, i. e. retiring to bed at 2330h and waking at 0800h for 4 days (D4-8). The

subsequent readaptation of the subjects in their normal environment was then

observed. Subjects were only allowed to sleep during the periods of darkness

throughout this study. Naps were not allowed. In addition, subjects were asked to

avoid bright sunlight.

4.2.3 Sampling

Blood, urine and saliva samples were taken on the last baseline day (DO), the

first post-light treatment day (D4) and the fourth post-treatment day (D7). All blood

samples obtained throughout the dark-phase were taken in the recumbent position and

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daytime blood and saliva samples after sitting for at least 10 minutes. On all

sampling days subjects remained in the clinical investigation unit and during waking

hours the light intensity ranged from 100 to 300 lux.

Blood: An indwelling cannula was inserted into the forearm of each subject,

under local anaesthetic, between 1630h and 1700h. Blood samples (5 ml) were

obtained hourly from 1700h for 24 hours on each sampling day. Sampling during

darkness was performed in dim red light (< 1 lux). A total of 396 ml of blood was

removed from each person.

Saliva: Samples (2-3ml) were obtained hourly from 1700h for 24 hours

(following 2 minutes of chewing on parafilm), except during sleep, on the sampling

days. Meals and drinks were taken just after saliva sampling and a thorough

mouthwash taken afterwards to reduce any possible interference with salivary

melatonin estimation.

Urine: Sequential 4-hourly urine samples (8-hourly when asleep) were

collected from 1600h throughout 24 hours on DO, 4 and 7. Each subject voided at

1600h on each sampling day. All urine was then collected throughout each four hour

period and the bladder completely emptied at the end of that collection period. The

volume of each sample was noted and a5 ml aliquot from each sample collected.

For information on preparation and storage of the samples, see section 2.2.

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4.2.4 Behavioural Measurements

During waking hours throughout the entire experimental period, subjective

alertness was rated and performance tasks were carried out every 2 hours. Subjective

alertness was rated on a 10cm visual analogue scale (VAS, " Drowsy a-. Alert ") and

high and low memory capacity performance tasks were used (1- and 5-letter search

and memory [SAM] tasks, respectively). Subjects were required to practice the tests

for at least three days before the study. In addition, daily sleep logs were kept.

Section 2.7 describes these behavioural measurements in detail.

4.2.5 Hormone assays

Methods of measuring melatonin and aMT6s are described in section 2.3. The

interassay coefficients of variation for the various assays were as follows:

Plasma melatonin: 10.4%, 15.2% and 9% at 22,40 and 210 pg/ml (n=10).

Salivary melatonin: 15.3 %, 11.7 % and 5.5 % at 24,40 and 67 pg/ml (n =6).

Urinary aMT6s: 16.8%, 11.6% and 5.8% at 2.4,14.7 and 31 ng/ml (n=6).

The minimum level of detection for each assay was 6 pg/ml, 3.2 pg/ml and 0.3

ng/ml, respectively.

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4.3 STATISTICAL ANALYSIS

4.3.1 Hormonal and alertness rhythms

The raw hormonal and alertness data were analysed by two-factor ANOVA

for repeated measures (day of study and time as factors). Subsequently, a cosinor

analysis program was used to derive the rhythm characteristics of both the alertness

and hormonal data (see section 2.8). ANOVA followed by Duncan's Multiple Range

Test, were applied to the cosinor-derived parameters of acrophase and amplitude. All

data below the limit of detection of the assay were excluded from the analysis, except

for the purposes of the cosinor program where values lower than this limit were

assigned a value of half the minimum detection limit of the assay.

The onset and offset of plasma melatonin secretion were defined as twice the

minimum detection limit of the assay when two consecutive values either exceeded

or were below this amount, respectively. The relationships between concentrations

of melatonin in saliva and plasma, and aMT6s in urine, and between their respective

acrophases and plasma melatonin onset time were determined by linear regression

analysis and Pearson's Correlation.

4.3.2 Sleep data, and daily means for performance and alertness

Daily means for alertness and performance (accuracy, response time and

efficiency) were determined for each individual and calculated as a percentage of

individuals' own mean baseline. One factor ANOVA (day of study) followed by

Duncan's multiple range test were applied to the sleep data and the daily means for

alertness and performance (accuracy, response time and efficiency). Performance

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accuracy, response time and efficiency were defined as described in section 2.7.3.

Values quoted are mean ± SEM unless stated otherwise.

4.4 RESULTS

No subjects reported any oral lesion or discomfort throughout the study and

no saliva sample appeared to be contaminated with blood. On 4 of the baseline days

(D-6 to -3) one subject suffered from flu-like symptoms which subsequently resulted

in reduced alertness and performance, and disrupted his sleep pattern. The data

obtained on these days were excluded from the analysis.

4.4.1 Melatonin

The profiles of plasma melatonin, salivary melatonin and urinary aMT6s are

shown in Figures 4.2 to 4.4, respectively.

Inspection of the aMT6s data indicated a marked phase delay on the first post-

treatment day (D4) in 5 out of 6 subjects. One subject showed a 3-fold increase in

the amplitude of aMT6s on D4 with no phase change and, in contrast to all the other

subjects, a poor correlation with plasma and salivary melatonin. This subject was

consequently excluded from the analysis of aMT6s.

A significant time-dependent effect of treatment (ANOVA: phase-delay) was

shown by aMT6s (p < 0.01) and plasma melatonin (p < 0.05) only, on the first post-

treatment day (D4), which was no longer present on the fourth post-treatment day

(D7) (p>0.1).

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Cosinor analysis gave most significant fits for plasma melatonin (17 out of 18

profiles at p<0.001), followed by salivary melatonin (14 out of 18 at p<0.05) and

urinary aMT6s (10 out of 15 at p<0.1) reflecting the missing data during sleep for

both salivary melatonin and aMT6s. However, the percentage of the variance

accounted for by a cosine curve was greater than 81 % in the aMT6s profiles.

Using the acrophase data derived from the cosinor programme, a significant

phase delay (ANOVA) was present in all measures of melatonin secretion on the first

post-treatment day. The mean peak time was shifted by 2.67 ± 0.3h (n=5) for

aMT6s (p < 0.001), 2.35 ± 0.29h (n = 6) for plasma melatonin (p < 0.001) and 1.97

± 0.32h (n=6) for salivary melatonin (p<0.01), 1 day post-treatment, Figure 4.5.

Plasma melatonin onset also showed a significant delay on D4 (3.12 ± 0.74h, n =6,

p<0.001). These shifts did not significantly differ from each other (p>0.1). The

acrophase estimates and melatonin onset time for the fourth post-treatment day (D7)

were not significantly different from baseline (p>0.1, ANOVA), but were

significantly different from D4 (p < 0.05, ANOVA), indicating reentrainment by D7.

The plasma melatonin offset time shifted to a lesser degree (1.33 ± 0.35h, n=6)

compared to its onset time.

Table 4.1 shows the correlation of acrophases between plasma and salivary

melatonin and urinary aMT6s, together with plasma melatonin onset times.

There was a direct correlation between plasma and salivary melatonin in

samples taken simultaneously (r=0.758, p<0.001) before the light treatment,

immediately after the phase-shift (r=0.792, p<0.001) and on D7 (r=0.576,

p<0.01). The difference between plasma and salivary melatonin levels remained

constant throughout the study. Salivary melatonin levels were estimated to represent

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a mean ± SD of 40 ± 6.9 % of the corresponding plasma levels throughout the

baseline day (DO), 44.1 ± 4.9% over the first post-treatment day and 37.4 ± 4.6%

on the fourth post-treatment day, to give an overall mean ± SD value of 40.4 f

5.3%.

The amplitude of the individual urinary aMT6s rhythms correlated well with

the amplitude of the plasma melatonin rhythm (r=0.73, p<0.001). In addition, the

total output of urinary aMT6s in 24h significantly correlated with the total 24h

melatonin concentration in plasma, as assessed by area under the curve analysis

(r=0.71, p<0.001).

The degree of shift for aMT6s on D4 was inversely correlated (P<0.05) to

the pre-treatment amplitude of the aMT6s rhythm, such that the greater the amplitude

the smaller the phase-shift. No such correlations were found to be statistically

reliable with plasma or salivary melatonin rhythms. No significant change in the

rhythm amplitude was apparent after the phase-shift with any of the measures of

melatonin secretion.

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Figure 4.2 Circadian plasma melatonin profiles before and after a forced phase-shift

IIIIIIIIIIIIIIIIIIIIII 1800 2200 0200 0600 1000 1400

Time (hour of day)

I

Circadian profiles for plasma melatonin showing (a) phase-delay on the first post-treatment day (D4,  ) compared to baseline (DO, O) and (b) readaptation by the fourth post-treatment day (D7, A ); no significant difference from baseline (DO). Darkness from 2330 to 0800h. Phase-delay indicated by significant time-dependent treatment effect (* p<0.05; two-way ANOVA for repeated measures). Values represent mean +/- SEM (n=6).

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Figure 4.3 Urinary aMT6s circadian profile before and after a forced phase-shift

1600- 2000

2000- 2330- 0800- 1200- 2330 0800 1200 1600

Time (hour of day)

Circadian profiles for urinary aMT6s showing (a) phase-delay on the first post-treatment day (D4,  ) compared to baseline (DO, Q) and (b) readaptation by the fourth post-treatment day (D7,0) - no difference from baseline (DO). Darkness from 2330 to 0800h. Phase-delay indicated by significant time-dependent treatment effect (** p<0.01; two-factor ANOVA for repeated measures). Values represent mean +/- SEM (n=5).

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Figure 4.4 Circadian melatonin profile in saliva before and after a forced phase-shift

a) 20ý

15ý

1o

5.

OJ

0 1800 2200 0200 0600 1000 1400

Time (hour of day)

Circadian profiles for salivary melatonin, without night-time sampling, showing (a) phase-delay in the offset of secretion on the first post-treatment day (D4,  ) compared to baseline (DO, D) and (b) readaptation by the fourth post-treatment day (D7, f). Darkness from 2330 to 0800h. Values represent mean +/- SEM (n=6).

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Figure 4.5 Relationship between acrophase estimates for melatonin, aMT6s, alertness and melatonin onset time

I T

4 T

0 Day of study

2000

1800 ý

1600 ý

1400

0800

0600

0400

***

7

Acrophase estimates for urinary aMT6s (0), plasma MT (o), salivary MT (A), plasma MT onset (  ) and alertness (4) on baseline (day 0), one day post-treatment (day 4) and four days post-treatment (day 7). Mean +/- SEM (n=5 for aMT6s, n=6 for other variables). ** p<0.01, *** p<0.001: significant difference from baseline (ANOVA). D7 was significantly different from D4 (p<0.05) but not from DO for all variables (Duncan's multiple range).

0200 ý

2400 ý

2200 ý

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Table 4.1 Correlation and linear regression analysis of acrophase estimates between

plasma melatonin, salivary melatonin and urinary aMT6s, together with the time of

plasma melatonin onset. y= mean (± SEM) x+ mean (± SEM).

Urinary aMT6s acrophase = 0.82 (± 0.18) plasma melatonin acrophase + 1.45 (± 0.93) r=0.754, p<0.001, n=15

Plasma melatonin acrophase = 0.60 (t 0.2) salivary melatonin acrophase + 2.35 (t 0.93)

r=0.6, p<0.01, n=18

Urinary aMT6s acrophase = 0.78 (± 0.19) salivary melatonin acrophase + 2.09 (± 0.78) r=0.718, p<0.001, n=18

Plasma melatonin acrophase = 0.62 (f 0.1) plasma melatonin onset time + 5.06 (t 0.23)

r=0.849, p<0.001, n=18

Urinary aMT6s acrophase = 0.7 (± 0.14) plasma melatonin onset time + 5.6 (± 0.23)

r=0.69, p<0.01, n=15

Salivary melatonin acrophase = 0.39 (f 0.15) plasma melatonin onset time + 4.55 (f 0.24)

r=0.53, p<0.05, n=18

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4.4.2 Alertness

Using the cosinor-derived acrophase parameters (83% significant fits at

p<0.05), no significant difference in the timing of the alertness acrophase was

observed throughout the baseline days (mean acrophase 14.84 ± 0.28h), Figure 4.6.

A maximum delay phase-shift of 6.33 ± 1.3h (p<0.01) was evident on the last

treatment day (D3). By D4, there was still a clear phase delay in the rhythm (shift:

3.08 ± 0.67h, p<0.01, n=6, ANOVA; 1 day post-treatment compared to DO). This

effect is shown in Figure 4.6 and 4.7. A phase delay was also indicated with

ANOVA on the raw data (p<0.01), figure 4.7. The alertness rhythm reentrained by

the second post-treatment day (D5, Figure 4.6). No reliable difference in amplitude

was apparent although the daily mean alertness fell significantly during the first day

of the light treatment (p<0.01, Duncan's Multiple Range). The degree of shift in

the alertness rhythm on D4 (compared to DO) was not significantly different from the

shift in urinary aMT6s, plasma melatonin, salivary melatonin and the plasma

melatonin onset time (p>0.1), Figure 4.5.

4.4.3 Performance

No change in performance was observed over the week prior to the treatment

(p > 0.1), but a deterioration was observed during and after treatment, Figure 4.8.

SAM-5 accuracy scores fell earlier than SAM-1 (first [D1] versus third [D3]

treatment days, respectively) and returned to baseline values earlier than SAM-1 (D6

versus D7, respectively, after returning to the normal environment). Response times

were not significantly affected although a slight decrease was apparent over the

treatment period. Efficiency only suffered significantly for both tasks on the first day

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after the rapid advance of external time cues (D5; p<0.01).

4.4.4 Sleep

No significant changes in any sleep parameters were apparent over the week

prior to treatment, Figure 4.9. The quality of sleep deteriorated on the first night (by

30%, p<0.05) and third night (by - 40%, p<0.01) of the treatment period.

Sleep duration decreased (by : lh, p<0.05), sleep latency increased (by - 50

minutes, p<0.05) and sleep quality fell significantly (by = 60%, p<0.05) on the

first post-treatment night (N4, i. e. first night after the rapid 6h advance shift of

external time cues), Figure 4.9.

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Figure 4.6 Alertness daily means and acrophase estimates before, during and after a forced phase-shift

24: 00-

22: 00-

20: 00-

18: 00-

16: 00-

14: 00 ý

12: 00

a)

T---ý---l i 1 I I I -6 -4 -2 0246

Day

4 4 f Alertness (a) acrophase estimates and (b) daily means throughout an 8-day baseline (D-7 to DO), a 3-day delay phase-shift period (D1-3) and after returning to normal baseline sleep/wake cycle and environment on D4. A

significant delay phase-shift was apparent on D3 and D4 with reentrainment by D5. Daily mean alertness was only significantly affected on D1. * p<0.05, **

p<0.01: significant difference from baseline values (Duncan's multiple range test). Values represent mean +/- SEM

, n=6 (D-6 to D-3, n=5). 4 Blood

sampling days.

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Figure 4.7 Subjective alertness profiles before and after a forced phase-shift

130-

120-

110-

100-

90-

80-

70-

60-

50-

a)

24 4 t""'`T- T-T ý

8 12 16 20 24

50 24 48 12 16 20 24

130-

120- b)

110- 100-

90-

80-

70-

60-

Time (hour of day)

Subjective alertness profiles showing (a) phase-delay on the first post-treatment day (D4,  ) compared to baseline (DO, Q) and (b) readaptation by the fourth post- treatment day (D7, A); no significant difference from baseline. Darkness from 2330h to 0800h on DO and D7 (M) and 0600 tol400h and 2330 to 0800h on D4 (EM). Phase-delay indicated by significant time-dependent treatment effect (* * p<0.01, two-way ANOVA for repeated measures). Values represent mean

+/- SEM (n=6).

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Figure 4.8 Performance measures before, during and after a forced phase-shift

110-

105 ý

loo-

95 -

90-

85-ý

80

110-

loo-

90 -

80 -

70

*

-6 -4 -2 0246

-6 -4 -2 024 I '1

6 1I1

Day of study

Daily mean performance measures for (a) accuracy and (b) efficiency showing high- and low-memory load capacity tasks (SAM-5,  , and SAM-1, ", respectively). No significant variation over the 8-day pre-treatment period (D- 7 to DO), significant fall in SAM-5 accuracy over the slow delay phase-shift (D1-3), and significant decrements in all performance parameters on the first day after returning to normal baseline sleep/wake schedule (D5). * p<0.05: significant difference from baseline (Duncan's multiple range test).

+ Blood

sampling days. Values represent mean +/- SEM, n=6 (D-6 to D-3, n=5).

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Figure 4.9 Subjective sleep parameters before, during and after a forced phase-shift

130 H

110

90 `..

70 ** v,

50 **

ý 30

-8 -6 -4 -2 0246 100]

b) y

80

60

a)

40 -1

20 ý

Llý _8

ý J, J- ý 0

9.5 H

8.5 H

7.5 ý

6.5 -1

5.5

C)

0 ýrl lll -4 -2 02

III III

46

-8 -6 -4 -2 0246

Night of study

Subjective measures of sleep for (a) sleep quality (b) sleep latency and (c) sleep duration showing no significant variation over the 9-night baseline period (N-8 to NO), fall in sleep quality over a slow delay forced phase-shift (N 1-3), and significant deterioration on the first night (N4) after the rapid advance phase-shift on D4 for all parameters. * p<0.05, ** p<0.01: significant difference from baseline (Duncan's multiple range test). 4 Blood sampling nights. Values represent mean +/- SEM, n=6 (D-6 to D-3, n=5).

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4.5 DISCUSSION

One objective of this study was to assess the usefulness of non-invasive

methods of determining melatonin secretion in the form of salivary melatonin and

urinary aMT6s before and after a phase-shift. The close relationship between plasma

melatonin onset as a phase marker, and the calculated peak times of melatonin in

plasma and saliva, and aMT6s in urine, suggests that all these approaches give valid

information. A high degree of correlation between the onset time and acrophase for

melatonin in plasma has also been determined in a recent study using shift workers

and blind subjects (Blood et al, 1994). During the light treatment it was not possible

to assess correctly the phase position of circadian rhythms due to the direct, acute

effects ("masking") of light. For example, with sufficiently bright light melatonin is

suppressed and core body temperature is increased (Lewy et al, 1980; Badia et al,

1993; Myers and Badia, 1993). For this reason, the immediate post-light treatment

period provides the nearest estimate to the actual phase-shift induced. During this

period (D4), during the baseline (DO), and after readaptation (D7) the melatonin onset

and mean peak values occurred in conditions of dim light or darkness. In such

conditions, it is assumed that the measured phase position of melatonin represented

the actual phase position on those days, and that the magnitude of the actual induced

shift was greater than or equal to the measured shift on D4.

In order to minimise sleep disturbance which may have compromised

behavioural measurements, saliva and urine sampling were avoided during the sleep-

phase. This resulted in the loss of definition in the circadian profiles, particularly for

salivary melatonin. Certainly the estimates of the melatonin rhythm amplitude in

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saliva would not be reliable. In spite of this problem a comparable phase-shift in the

salivary melatonin rhythm was obtained. Clearly, however, the saliva data would

greatly have been enhanced by night-time sampling. The salivary melatonin onset

time was not a useful index of the rhythm in this study since a high proportion (67%)

of onset times occurred during the sleep phase after the phase-shift.

In this present study the ratio of salivary melatonin levels to plasma melatonin

levels remained constant (approximately 40%) and the correlation remained highly

significant even immediately after the rapid phase-shift. Even though the number of

samples with detectable melatonin levels in saliva were reduced through no night-time

sampling, the ratio agrees well with other reports where samples were obtained

throughout 24h in a normal environment. In these studies, the ratio of melatonin in

saliva to plasma was found to represent 32% (Nowak et al, 1987), 30-60% (Vakkuri,

1985), 27-32% (Miles et al, 1987), and an estimated 55% (McIntyre et al, 1987).

McIntyre et al (1987) also showed a good correlation (r=0.92, p<0.005) when

plasma melatonin and salivary melatonin levels were suppressed with one hour of

bright light between 2400h and 0100h. Nickelson et al (1991a) suggested that the

relationship between salivary melatonin and urinary aMT6s concentrations may

change following a9 hour forced phase-shift. There is no evidence for this

phenomenon in this present study. However, the induced shift was much smaller,

and more frequent saliva collections were made, at least during waking hours.

A high degree of correlation (r=0.73) was observed between the rhythm

amplitudes for plasma melatonin and urinary aMT6s and agrees well with Bojkowski

et al (1987b) who demonstrated a correlation of r=0.70. In addition, a significant

relationship between the individual total 24h plasma melatonin and urinary aMT6s

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concentrations was observed (r=0.71), which has been established by previous studies

under normal conditions (r=0.76: Markey et al, 1985; r=0.75: Bojkowski et al,

1987b; r=0.72: Nowak et al, 1987), suggesting that urinary aMT6s is a reliable

index of plasma melatonin levels even after an imposed shift in the circadian system.

The practical advantage of urinary aMT6s is that it provides an integrated

measure for melatonin production over the night-time period and allows repeated and

longitudinal studies in the same individual to be performed. However, it is not

possible to measure subtle changes in the rhythms due to limited frequency of

sampling. The delayed aMT6s acrophase compared to that of plasma melatonin is

presumably due to the delay in hepatic metabolism of melatonin and the time taken

for the passage and diffusion of the metabolite through the kidney before appearing

in the urine.

A clear phase-delay in the alertness rhythm was evident, although alertness

was clearly influenced by the sleep/wake cycle, since it was only rated during

wakefulness. However, it is clear from the alertness data on D4 that the fall of the

rhythm occurred significantly later in the evening compared to baseline suggesting a

delay in the endogenous alertness rhythm. In addition, the degree of shift was

comparable to that of melatonin which is not affected by the sleep/wake state (Folkard

et al, 1984; Morris et al, 1990). This may imply a causal relationship as suitably

timed melatonin administration can modify alertness (Arendt et al, 1987, see chapters

9 and 10) and advance the timing of the self-rated fatigue and the closely associated

sleep propensity rhythm (Arendt er al, 1984; Tzischinsky et al, 1992a). However,

in this study it is more likely that the treatment induced a shift in central rhythm

generating mechanisms common to both variables.

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A significant decline in daily mean alertness was apparent only on the first

treatment day. It is likely that this was due to blood sampling the previous night and

during the day. Subjective sleep quality and SAM-5 accuracy did fall during this

night and day but not significantly. However, disturbances in sleep, alertness and

performance were not associated with all blood sampling periods, hence it is difficult

to attribute changes in behaviour to blood sampling. Perhaps the novelty of

cannulation and sleep in a new environment compromised behaviour on this day.

Disturbances in sleep quality over the treatment period (during the slow delay

phase-shift) were observed. There were also important and significant decrements in

performance accuracy during this period with time-dependent differences in high and

low memory capacity tasks. These observations suggest that even a brief shift in the

sleep/wake cycle may compromise sleep and performance.

The light/dark treatment schedule was chosen to enhance the natural tendency

of circadian rhythms in the majority of people to delay. Since humans have a free-

running period of about 25h, the natural tendency is to delay by approximately

lh/day. Wever et al (1983), Wever (1986) and Aschoff and Wever (1981) have

demonstrated that physiological rhythms can entrain to a 26h day even without bright

light treatment. However, bright light can enhance the entrainment to longer days

(Wever et al, 1983; Wever, 1989). In the present study, using a 26h sleep/wake

schedule over 3 days, with bedtime and wake time 2h later each day, the evening

light treatment was aimed to hit the delay portion of the phase-response curve each

day. It is possible that the light treatment was not of sufficient intensity or duration

or the light suitably timed to promote the adaptation of sleep and performance to the

new sleep/wake cycle. However, sleep quality and performance accuracy were the

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only sleep and performance parameters to be adversely affected. Eastman and

Miescke (1990) found that in a similar 26h sleep/wake schedule, bright light (1770-

2800 lux) administered for 2h before bedtime facilitated the entrainment of the

temperature rhythm in 74% of the subjects and promoted better sleep. However,

shielding from natural bright light for 6h after sleep was necessary for this effect.

Only 17% of the subjects entrained with natural light exposure at any time of day.

Strict light control was not imposed until dusk in the present study and may help to

explain the disturbances in sleep and performance over the imposed 26h sleep/wake

schedule due to the effect of inappropriate light exposure on the circadian system.

These behavioural disturbances may also have been confounded by the effects of

blood sampling and the novel sleep environment.

Individual differences may also account for the behavioural disturbances

following adaptation to an extended day. The majority of subjects in this study were

moderately "morning types". There is a suggestion that "evening type" individuals

adapt quicker to imposed shifts in the sleep/wake cycle (Folkard and Monk, 1981;

Hildebrandt and Stratmann, 1979).

The major and consistent deleterious effects on sleep and performance

occurred when the subjects were rapidly returned to their normal baseline sleep/wake

cycle and environment on D4. A transient increase in latency, fall in quality and

duration were observed on the first night after the rapid advance phase-shift, together

with decrements in performance accuracy and efficiency the following day. The

disturbances in sleep and performance (possibly as a consequence of disrupted sleep)

can be attributed to the inappropriate phase relationship between the endogenous sleep

propensity rhythm and the imposed sleep/wake cycle (Dijk and Czeisler, 1994), i. e.

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the subjects were trying to sleep at a time when the circadian pacemaker was

promoting wakefulness. As a result sleep deprivation probably made it even more

difficult to perform well the following day (Carskadon and Dement, 1979,1981).

In this initial study, the use of a three-cycle stimulus of moderate intensity

bright light (1200 lux), suitably timed and coupled with periods of imposed darkness

(< 1 lux) and sleep, clearly induces significant phase-shifts in a major endogenous

hormonal circadian rhythm (melatonin) and a major behavioural rhythm (self-rated

alertness). The subsequent readaptation of the subjects in their normal environment

produced transient but major behavioural disturbances. It should therefore be possible

to simulate circadian rhythm disorders and related problems such as jet lag and

shiftwork, similar to those seen in field studies, in an inexpensive and controlled

environment where the subjects are left in their normal environment for most of the

time. Clearly since the induced phase-shift was small and the behavioural problems

transient on readaptation, larger phase-shifts are necessary in order to study the

efficacy of treatment strategies in treating circadian rhythm disorders.

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CHAPTER 5

INDUCING CIRCADIAN DISTURBANCES IN PARTIAL

ENVIRONMENTAL ISOLATION: A RAPID 9h ADVANCE

PHASE-SH HFT AFTER A GRADUAL 9h DELAY SHIN

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Inducing Circadian Rhythm Disturbances in Partial Environmental Isolation: A Rapid 9h Advance Phase-shift After a Gradual 9h Delay Shift.

5.1 INTRODUCTION

Field studies on phase-shifting and other strategies to alleviate the problems

associated with jet lag and shift work are expensive and difficult to control.

Laboratory simulations provide a more controlled environment with which to study

these circadian rhythm disorders in detail. However, one disadvantage of laboratory

simulations is that the subjects are completely isolated from a normal environment,

whereas field studies allow the subject to be exposed to a whole range of time cues

which may be important in the normal adaptation process in everyday life. In order

to simulate conditions as true to life as possible, an experimental model was

developed without complete environmental isolation allowing subjects to adapt to

rapid shifts in local time in their normal environment.

This experiment was a crossover study which investigated the effects of bright

light and melatonin in facilitating the readaptation of the circadian system and

alleviating the associated behavioural problems after a rapid 9h advance shift in local

time. Comparison of these treatment strategies will be discussed in Chapter 6. It is

the purpose of this chapter to describe in detail an experimental model which

gradually forces a 9h delay phase-shift in the circadian system under controlled

environmental conditions and allows a rapid 9h advance shift of external time cues

to be induced when the subjects resume their baseline sleep/wake schedule. The

readaptation of the subjects to their normal environment will be described (under

placebo treatment). A combination of exposure to bright light and darkness was

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timed to gradually delay circadian rhythms over a number of days in a similar way

to that described in Chapter 4.

5.2 SUBJECTS and METHODS

5.2.1 Subjects

8 healthy volunteers (4M: 4F), aged 22-26, under no medication and all non-

smokers were recruited from research students of the University of Surrey who

followed similar sleep/wake schedules and lifestyles. Using the Horne and Östherg

questionnaire (1976) to determine morning or evening type individuals, no definite

morning or evening types were detected (scores > 70 or < 31). However, two

subjects were more of the morning type (scores of 63 and 64) and three were rather

of the evening type (scores of 36,41 and 41)

The subjects refrained from heavy exercise and restricted their alcohol

consumption (maximum 2 units per day) throughout the experiment.

5.2.2 Study Design

This experiment was a double-blind, placebo-controlled crossover study with

four different treatments administered after the rapid 9h advance phase-shift. The 4-

stage study was performed from November 1992 and April 1993. At least two weeks

separated the start of each stage. Each stage began on the same day of the week and

spanned the first two weeks of the month.

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Each stage comprised the following:

DAYS (D)

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(Changing ; Stable Baseline Slow, forced

Regular sleep/wake 9h delay cycle and normal phase-shift environment T

Readaptation in normal environment with baseline sleep/wake cycle.

Rapid 9h advance phase-shift

Baseline: For 3 days prior to the phase-shift (days (D) -2 to 0), the subjects were

required to maintain a regular sleep/wake schedule, retiring to bed at approximately

2330h and waking at 0800h, remaining in the dark (< 1 lux) between these times.

Gradual 9h delay phase-shift: Immediately following the baseline days, the

subjects were exposed to 9h pulses of moderately bright (average 1200 lux at eye

level), full spectrum light at progressively 3h later times over the first three days (D1-

3) and then at the same times on D4-5 as for D3. The periods of light exposure were

as follows:

D 1: 1800-0300h, D2: 2100-0600h, D3,4,5: 2400-0900h.

Each period of light treatment was followed by 8 hours of imposed darkness

(< 1 lux) when they slept. During the remaining hours of each day subjects were

in dim light (< 300 lux, indoors) or moderately bright light (< 1000 lux, outdoors

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with sunglasses) until dusk (1630/1700h). From dusk until the light treatment period,

subjects remained in domestic intensity light (50-300 lux at eye level). Throughout

the phase-shift (D1-5) meal-times were shifted progressively by 3 hours on days 1-3

and then maintained at the same times on D4-5 as for D3, in line with the imposed

light/dark and sleep/wake cycles. Subjects were allowed to choose their activity (e. g.

reading, writing, watching videos) as long as they glanced regularly (at least every

5 minutes) at the light source. The subjects were continuously supervised throughout

these periods. The patterns of exposure to bright light, natural ambient light and

darkness are summarized in Figure 5.1.

9h rapid advance phase-shift: Immediately following the last light/dark

treatment on day 6, subjects were required to assume the baseline sleep/wake

schedule in their normal environment, inducing a rapid 9h advance phase-shift in

external time cues, i. e. retiring to bed at 2330h and waking at 0800h for 6 days (D6-

11). The subsequent readaptation of the subjects in their normal environment was

then observed. Subjects took a placebo pill (lactose-gelatin capsule) just before the

desired bedtime at 2300h on D6-8. In addition, from 0800-1200h on D7 and D8

subjects were exposed to controlled lighting of between 50-300 lux. Subjects were

asked to avoid bright sunlight and wore sunglasses when outdoors (filtering out

>90% of the light). At dusk, they were required to remain in ordinary domestic

lighting (50-300 lux) until bedtime (and darkness). Each subjects ambient lighting at

work and home was monitored using a digital light meter (see section 2.4).

Subjects were only allowed to sleep during the periods of darkness throughout

this study. Naps were forbidden.

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Figure 5.1 Diagrammatic design of the study

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Diagrammatic design of the study showing patterns of exposure to bright light (O

,- 1200 lux), darkness/sleep (m) and natural ambient light (0). After a3 day baseline (D-2 to DO), a gradual 9h delay phase-shift was induced

over 3 days (D 1-3) and then the 9h shift was maintained for the following 2 days (D4-5). On day 6, subjects resumed their baseline sleep/wake schedule in a normal environment, thus experiencing a rapid 9h advance phase-shift of local time cues.

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5.2.3 Sampling

Urine: Sequential 4-hourly urine samples (8-hourly when asleep) were collected

throughout the study. All urine was collected throughout each four hour period and

the bladder completely emptied at the end of that collection period. See section 2.2

for sample collection and storage.

Temperature: Rectal temperature was recorded continuously every 6 minutes

throughout the trial (see section 2.5).

5.2.4 Behavioural Measurements

Every 2h throughout the whole trial during waking hours, mood parameters

(alertness, cheerfulness and calmness) were rated on 10cm visual analogue scales

(VAS: Drowsy *-º Alert, Depressed Happy and Tense*--, - Calm, respectively)

and performance tasks (low- and high-load search and memory tests: SAM-1 and

SAM-5, respectively) were carried out every. In addition, daily sleep logs and

activity diaries were kept. For 3-4 days prior to the trial subjects practised the

performance tests regularly. Behavioural measurements were recorded using Psion

organisers. Sections 2.7 describes these behavioural measurements in detail.

5.2.5 aMT6s assays

For methods of analysis of urinary aMT6s, see section 2.3.4. The interassay

coefficients of variation were 7,4 and 3.3% at 2.9,22.3 and 42.7 ng/ml (n=37).

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The minimum level of detection was 0.4 ± 0.22 ng/ml (n=37).

5.3 STATISTICAL ANALYSIS

The 4 legs of the trial involved 4 different treatments administered after the

rapid 9h advance phase-shift. During the baseline and gradual 9h delay phase-shift,

these legs will be referred to as the pre-treatment groups.

5.3.1 Temperature and aMT6s rhythms

Repeated measures ANOVA (factors: pre-treatment group, day of study and

time of day) followed by post-hoc analysis (Duncan's Multiple Range Test) were

applied to raw aMT6s and temperature data, and the cosinor-derived parameters of

acrophase and amplitude for 24h temperature and aMT6s profiles over the baseline,

gradual phase-delay shift and readaptation periods (under placebo treatment). For

analysis by ANOVA, the temperature data were averaged over each hour. Degrees

of shift were determined by comparison with the individual's mean baseline.

5.3.2 Mood and performance rhythms

24h profiles for each mood and performance parameter were analysed by

cosinor analysis over 3-day windows for more reliable estimates of acrophase and

amplitude (baseline: D-2 to DO, changing phase-shift: D1-3, stable phase-shift: D3-5,

readaptation period: D7-9 and D9-11) followed by ANOVA (for repeated measures).

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An estimate of entrainment to the 24h day (and establishment of cosinor rhythmicity

with a period of 24h) is provided by (1) the percentage number of subjects with

significant 24h cosine fits and (2) the percentage variance accounted for by a cosine

curve, see section 2.8. Where the mood and performance parameters exhibited

significant cosinor rhythmicity over the baseline period, all comparisons are made

with respect to individuals baseline values. Repeated measures ANOVA was also

used to establish a time of day effect over the baseline period.

5.3.3 Sleep data and daily means for mood and performance

All sleep, mood and performance data were calculated as a percentage of or

difference from individuals own baseline. Daily means for every mood and

performance parameter were then determined. The performance parameters accuracy,

response time and efficiency were defined as the percentage of correct responses, time

taken to complete the task and accuracy/response time, respectively. Response time

data were normalised by square root determination.

5.4 RESULTS

One subject did not conform to the protocol and was therefore excluded from

all analysis.

Cosinor analysis gave most significant fits for 24h temperature data (100%

at p<0.005) followed by urinary aMT6s (84% at p<0.05). However, the percentage

variance accounted for by a cosine curve was > 80% in the 24h aMT6s profiles.

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5.4.1 Ambient light monitoring

At home in the evening, light intensity did not exceed 180 lux (average 110

lux). Maximum natural bright light exposure (up to 10 000 lux) commonly occurred

around 0800-0900h, 1200-1400h and 0500-0700h corresponding to travel to work,

lunch and travel home, respectively. However, the light intensity always remained

less than < 1000 lux with sunglasses when outside and more commonly <500 lux.

In the work environment, the general light intensity was approximately 490 lux (range

55-1000 lux). However, whilst working at the laboratory bench or at the computers,

the average light intensity was reduced to 170 lux (range 55-500 lux).

5.4.2 Baseline

No baseline differences for any sleep, mood, aMT6s or temperature

parameters were evident. Of the performance variables, a small but significant fall

in SAM-1 accuracy was found (p<0.05, as 1% fall, D-2 to DO). A significant time

of day effect was established by ANOVA (repeated measures) for aMT6s,

temperature, alertness (Figures 5.2,5.3 and 5.4, respectively) and performance

response time (p<0.0001). One subject did not exhibit any significant cosine rhythm

or time of day effect as determined by cosinor analysis and repeated measures

ANOVA. This subject was discarded from the analysis of SAM-5 performance

variables.

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Figure 5.3 Temperature profiles before and during a gradual 9h delay phase-shift

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the four legs. A significant phase-delay was indicated by ANOVA for repeated measures (time of day by day of study interaction, D5 versus baseline, p<0.001). A decline in

amplitude was observed over the phase-shift with return to baseline values on D5. Bars

show patterns of exposure to bright light (1200 lux, =), darkness (< 1 lux, ý) and natural ambient light (®). Temperature was recorded continously every 6 minutes then averaged and plotted every hour as the mean of 7 subjects (+ SEM).

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Figure 5.4 Alertness profiles before and during a gradual 9h delay phase-shift

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m darkness (< 1 lux), ® normal ambient light. Values represent mean (+ SEM, n=7) alertness rated every 2h during wakefulness.

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5.4.3 Gradual, forced 9h delay phase-shift

Using moderately bright light combined with darkness (sleep) it was possible

to force a progressively larger delay phase-shift in the temperature and aMT6s

rhythms (max. degree of shift, D5 compared to mean baseline: 9.13 ± 0.83h and

9.09 ± 1.06h, respectively), Figure 5.5. A comparable shift in the alertness and

performance response time rhythms was also evident, Figures 5.6-5.8 (degree of

shift, D3-5 compared to baseline: 10.62 ± 0.96h, 10.51 ± 1.33h [SAM-1] and 9.24

± 1.88h [SAM-5], respectively). A delay phase-shift was also indicated with

ANOVA on the raw aMT6s and temperature data, Figures 5.2 and 5.3 (time of day

by day of study interaction, p<0.0001). Significant suppression of the temperature

and aMT6s rhythm amplitudes was observed over the forced phase-shift (ANOVA,

p<0.0001) with return to baseline values on D4-5 for aMT6s and D5 for

temperature, Figures 5.2 and 5.3.

No important detrimental effects on mood or sleep were evident, Figures 5.4,

5.9 and 5.10. However, a small but significant increase in sleep latency (p=0.025)

and corresponding fall in sleep duration (p=0.0017) was observed during the phase-

shift (mean ± SD: 8.1 ± 13.1 minutes, increase in sleep latency). This was mainly

attributable to the first two nights of the phase-shift. Daily mean alertness and

calmness significantly increased by 3.0 ± 1.0% and 7.4 ± 2.1%, respectively,

during the shift (D1-5) with the greatest improvement associated with the latter end

of the shift.

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Figure 5.5 Acrophases of aMT6s and temperature rhythms during a gradual 9h delay phase-shift

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aMT6s was 9.13 +/- 0.83h, and for temperature was 9.09 +/- 1.06h (mean +/- SD). Values represent mean +/- SEM, n=7.

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Figure 5.6 Adaptation of the alertness rhythm during a gradual delay phase-shift

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Figure 5.7 Adaptation of the SAM-1 response time performance rhythm during a gradual delay phase-shift

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Figure 5.8 Adaptation of the SAM-5 response time performance rhythm during a gradual delay phase-shift

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ANOVA, D3-5 compared to baseline). Values for Figs. (a) and (c) represent mean +/- SEM (n=7).

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Figure 5.9 Daily means for mood before and during a gradual 9h delay phase-shift

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Figure 5.10 Subjective sleep measures during a gradual forced 9h delay phase-shift

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sleep latency over a4 night baseline (nights -3 to 0) and during a gradual 9h delay

phase-shift (nights 1-5) for the 4 pre-treatment legs of the trial (Bright light,  , Placebo, [3, Melatonin + Bright light, " and melatonin, " ). Small but significant increase in sleep latency was observed during the phase-shift (p<0.05, mainly attributable to night 1).

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Figure 5.11 Daily means for SAM-1 performance measures before and during a gradual forced 9h delay phase-shift

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Figure 5.12 Daily means for SAM-5 performance measures before and during a gradual forced 9h delay phase-shift

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SAM-1 and SAM-5 response time quickened significantly (3.7 ± 1.2% and

2.8 ± 1.5%, p<0.0001) although at the expense of accuracy which fell (SAM-1:

2.35 ± 0.38%, p=0.028; SAM-5: 4±1.7%, p=0.0002). Overall performance

efficiency improved for SAM-1 (2.9 ± 0.3%, p=0.0007) and remained unchanged

for SAM-5, Figures 5.11 and 5.12, respectively. The fall in performance accuracy

improved towards the latter end of the shift.

5.4.4 Adaptation to a rapid 9h advance phase-shift (placebo treatment)

After the rapid 9h advance shift of external time cues on day 6a large and

highly significant (p<0.0001) reduction in sleep duration (4 1.6 ± 0.36h), quality

(1 24 ±5%, Figure 5.13) and increase in the duration of night awakenings (t 52.6

± 14.7 minutes, Figure 5.13) was apparent, nights 6-11. Sleep latency and the

number of night awakenings remained virtually unchanged, nights 6-11.

The daily means for cheerfulness and calmness deteriorated (7.5 ± 3% and

6.1 ± 3%, respectively, D7-11) but the major deleterious effects were evident with

alertness (p<0.001,11.5 ± 2.7%), Figure 5.14.

Significant decrements in daily mean performance accuracy (SAM-1: 4.0 f

0.58%, SAM-5: 11.12 ± 1.55%) and efficiency (SAM-1: 4.2 ± 1.17%, SAM-5:

11.12 ± 1.2%) were evident (p5 0.0003, D7-11), Figure 5.15. Slower reaction

times (SAM-1: t 0.45 ± 0.97 minutes, SAM-5: t 0.76 ± 1.07 minutes, D7-11)

were also apparent. The performance response time and alertness rhythms did not

reestablish a normal baseline pattern by day 11 (see Figures 6.8,6.11 and 6.12).

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Figure 5.13 Adaptation of sleep to a rapid 9h advance phase-shift

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Figure 5.14 Adaptation of mood to a rapid 9h advance phase-shift 110

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Subjective measures of (a) alertness, (b) calmness and (c) cheerfulness during adaptation to a rapid 9h advance phase-shift (on day 6) in a normal environment. Significant deleterious effects on alertness were seen (p<0.001, ANOVA for repeated measures, D7-11 compared to baseline). Values represent mean +/- SEM, n=7.

9 10 11 Mean Baseline

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Figure 5.15 Adaptation to a rapid 9h advance phase-shift : daily mean performance

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Daily means for performance measures of (a) efficiency, (b) accuracy and (c)

response time for SAM-1 (  ) and SAM-5 (0) tasks showing adaptation to a rapid 9h advance phase-shift (on day 6) in a normal environment. Significant decrements in efficiency and accuracy were evident (p<0.001, ANOVA for repeated measures, D7-11 compared to baseline). Values

represent mean +/- SEM (SAM-1: n=7; SAM-5: n=6).

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Figure 5.16 Adaptation of aMT6s and temperature rhythms to a rapid 9h advance phase-shift

0

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Acrophase estimates for (a) aMT6s and (b) core body temperature ('masked') showing adaptation to a rapid 9h advance phase-shift (on day 6) in a normal environment (placebo treatment stage). aMT6s acrophase remained significantly delayed compared to baseline (p<O. 01, D7-11,

repeated measures ANOVA) whilst the 'masked' temperature rhythm apparently reentrained by D7. Values represent mean +/- SEM, n=7.

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Figure 5.17 Adaptation of the temperature rhythm to a rapid 9h advance phase-shift

37.60-

37.40-

37.20-

37.00-

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Clock time / Day of study

12: 00 Baseline

(D-1)

Adaptation of the circadian rhythm for core body temperature after a rapid 9h advance phase-shift (on day [D] 6) in a normal environment (placebo stage). Although the calculated peak of the rhythm indicates reentrainment by D7 (see Figure 5.16), the rhythm amplitude remained significantly reduced (p<0.0001, D7- 11 compared to baseline, ANOVA). Normal baseline patterns are not established until at least D 10. Bars show patterns of exposure to darkness (< 1 lux, M), natural ambient light (= ) and bright light (1200 lux, o ). Temperature was recorded continously every 6 minutes then averaged and plotted every hour as the mean of 7 subjects (+ SEM).

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Figure 5.18 Direction of reentrainment of individual aMT6s rhythms after a rapid 9h advance phase-shift

24: 00

22: 00

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(+/- SEM, n=7)

Acrophase estimates for individual circadian aMT6s profiles showing the direction of reentrainment after a rapid 9h advance phase-shift (on day 6) in

a normal environment (placebo treatment). At least two subjects show an antidromic effect where they reentrain to a 9h advance shift by delay.

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Temperature acrophase was delayed significantly from baseline on D6 only

(p<0.01, Figure 5.16) although the rhythm amplitude remained significantly lower

on D6-10 (p < 0.05), Figure 5.17. aMT6s acrophase remained significantly delayed

from baseline (p<0.01) on days 6-11. This was also indicated with ANOVA on the

raw aMT6s data where a time of day by day of study interaction was still significant

on D II compared to DO (p<0.0001), Figure 5.16.

The direction of the subjects natural entrainment of the aMT6s rhythm varied.

At least 2 subjects reentrained by phase-delay and at least 2 subjects phase-advanced,

Figure 5.18.

5.5 DISCUSSION

5.5.1 Gradual 9h delay phase-shift

Using a controlled environment, an approximate 9h delay phase-shift was

induced in the core body temperature and urinary aMT6s rhythms, two commonly

used physiological rhythm markers of the biological clock. A similar degree of shift

was also identified with the behavioural rhythms of self-rated alertness and

performance response time. The contemporary shift in the sleep/wake cycle clearly

influenced the calculated estimates of acrophase for mood and performance rhythms

since this data was only collected during wakefulness. In addition, exogenous

influences may have modified cosinor estimates of the temperature rhythm.

However, comparable shifts were seen with the aMT6s rhythm which is minimally

influenced by exogenous factors apart from the acute suppressant effects of bright

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light, see section 1.3.

The maximum degree of shift induced (approx. 9h) was assessed on the last

day of the gradual delay phase-shift under bright light conditions (D5). However, the

aMT6s rhythm had reestablished the normal baseline amplitude and shape on D4-5

and visual inspection of the aMT6s raw data confirms the magnitude of the maximum

shift. A mean delay shift of 7.5h (± 1.5h, mean ± SD) was obtained on day 6,

when subjects returned to the normal environment in conditions of darkness and dim

light with no masking influences. This provides a reliable estimate of the shift

induced allowing for the natural adaptation of the circadian system after one day.

The gradual delay shift in environmental and social (e. g. meals) time cues,

together with the suitably timed bright light/darkness were effective in promoting the

adaptation of sleep, mood and performance efficiency to the 9h delay shift. No

important detrimental effects on sleep and mood were apparent. Small (2-4%) but

significant deleterious effects on performance accuracy were observed, mainly over

the changing shift period (D1-3), which stabilised when the 9h delay shift was

maintained for another two days. The accelerated response time seen over this period

was unlikely to be a practice effect since tests were performed regularly before each

stage of the trial and no observable trend was seen over the baseline. Overall,

performance efficiency remained either unchanged or slightly improved. In addition

to the effects of bright light on the circadian system, bright light exposure may have

directly enhanced mood and performance (Campbell and Dawson, 1990; French et

al, 1990; Myers and Badia, 1993).

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5.5.2 Rapid 9h advance phase-shift

The major and significant deleterious effects on behaviour occurred after

subjects resumed their baseline sleep pattern in their normal environment. This rapid

9h advance shift of external time cues can be related to a 9h eastward transmeridian

flight. Using this direct analogy, a flight at 2300h from Los Angeles to Paris after

a 9h flight crossing 9 time zones (forward in time) would arrive in Paris at 1700h

local time or 0800h Los Angeles time. Having adopted local time, travellers would

retire to bed at approximately 2300-2400h (1700-1800h Los Angeles time) to try and

get sufficient sleep before rising the following morning for work at 0900h. This

schedule was simulated in the present experiment. Trying to sleep at inappropriate

circadian phases inevitably resulted in some sleep disruption or loss because the body

was not prepared to sleep until 0500-0600h local time, corresponding to 2300-2400h

Los Angeles time. Travel fatigue and sleep loss whilst flying may have compound

these problems in real life.

Sleep patterns, mood and performance variables and the endogenous aMT6s

rhythm took at least 5 days to reestablish normal baseline patterns in agreement with

field based studies (Klein and Wegmann, 1980; Fbvre-Montange et al, 1981,

Wegmann et al, 1983; Arendt et al, 1987) and laboratory simulations (Samel et al,

1991). The temperature rhythm apparently took two days reentrain. However,

environmental and behavioural masking were likely to be responsible for this effect.

Since the natural reentrainment of circadian rhythms after rapid and large phase-shifts

can take many days or weeks (Aschoff et al, 1975; Klein and Wegmann, 1980;

Wegmann et al, 1983), and since the zeitgeber strength of natural light exposure was

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controlled, it was unlikely that in every individual the rhythm shifted by 9h in one

day. The significant reduction in rhythm amplitude suggests that the rhythmic

functions of core body temperature had not reentrained properly even after 5 days.

One potential way of eliminating the masking effects on the endogenous circadian

component of the temperature rhythm is a mathematical procedure (Minors and

Waterhouse, 1992). This method has been used to "purify" the temperature profiles

and will be discussed in Chapter 7.

Usually, the circadian system reentrains in the direction of the induced shift

and environmental zeitgebers (Klein and Wegmann, 1980; Wegmann et al, 1983).

However, the direction of shift in the urinary aMT6s rhythm to the rapid 9h advance

change of external time cues varied in different individuals even with similar

environmental zeitgebers. Unfortunately, it was not possible to assess properly the

direction of entrainment for some subjects and the time taken for complete

reentrainment to occur due to the limited number of days studied. However, some

individuals showed a definite tendency to reentrain to the rapid 9h advance shift by

delay, a so-called antidromic effect (Klein and Wegman, 1980) where individuals

delay the circadian system by 15h to complete the 24h cycle of entrainment. This

effect has been observed in field studies over 8-10 time zones flying east (advancing

time) (Mills et al, 1978; Colquhoun, 1979; Klein and Wegmann, 1980; Gander et al,

1989; Spencer et al, 1994) and in laboratory based studies after phase-advances of 6h

(Wever, 1980; Moline et al, 1992).

The natural tendency for circadian rhythms to delay may explain the fact that

some individuals apparently reentrained by phase-delay after a rapid and large phase-

advance. Reasons for the antidromic effect remain unknown. Individual differences

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in urinary aMT6s acrophase or "morning/evening" type personality scores did not

correlate with the direction of natural reentrainment. However, the small sample size

precludes the determination of any reliable relationship.

The advantage of field studies on travellers and shift workers is the exposure

to a whole range of external time cues and psychological influences. However, there

are important disadvantages. Susceptibility to jet lag is highly individual therefore

crossover experiments afford the best design. However, field studies are expensive

and difficult to control since standardising social and environmental stimuli over each

stage is virtually impossible. There are also difficulties in the collection of

biochemical data. Laboratory studies provide a means of measuring a whole range

of physiological and behavioural variables in detail and in a controlled environment.

But the laboratory environment may not give a true reflection of the normal

readaptation process in real life. For example, Wegmann et al (1986) described how

sleep quality improved in the quieter isolated environment of the laboratory in

comparison to real life. Allowing subjects to readapt in a normal environment

overcomes this problem. This experimental model therefore acts as a compromise

between field studies and studies in complete environmental isolation.

Using a controlled environment it was possible to force a progressively larger

delay phase-shift in circadian rhythms with no significant detrimental effect on sleep

and mood and only minimal effects on performance. There were no differences

between the four pre-treatment stages suggesting that this design is effective for

crossover experiments. The subsequent and rapid 9h advance shift of external time

cues induced major and significant problems related to behaviour and physiology.

This model provides an appropriate method to study adaptation strategies after rapid

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shifts in local time. The following Chapter describes the effects of melatonin and

bright light on adaptation to a rapid 9h advance phase-shift in the second half of this

experiment.

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CHAPTER 6

INFLUENCE OF MELATONIN ON ADAPTATION TO A

LARGE RAPID ADVANCE PHASE-SHIFT IN THE

PRESENCE OF CONFLICTING BRIGHT LIGHT

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Influence of Melatonin on Adaptation to a large Rapid Advance Phase-shift in the Presence of Conflicting Bright Light

6.1 INTRODUCTION

When exogenous melatonin is administered to humans, at appropriate times

and in entrained conditions, it will phase-shift its own endogenous circadian rhythm

(Arendt et at, 1985a; Lewy et at, 1992; Zaidan et at, 1994) and the alertness/fatigue

rhythm (Arendt et at, 1984). These properties together with its somnolent and sleep

inducing capabilities (Cramer et at, 1974; Vollrath et at, 1981; Waldhauser et at,

1990; Dollins et at, 1993,1994) suggest that melatonin may provide a means of

expediting the adaptation of circadian rhythms following time-zone transitions or

shiftwork similar to the ability of bright light (Czeisler et at, 1990; Eastman, 1991)

and help improve sleep, performance and mood at the appropriate times.

In both field studies and a laboratory simulation melatonin has been shown to

relieve subjective feelings of jet lag and facilitate the reentrainment of endogenous

circadian rhythms (Arendt et at, 1987; Arendt and Aldhous, 1988; Claustrat et at,

1992; Nickelsen et at, 1991b; Petrie et at, 1989,1993 and Samel et at, 1991).

Additionally, during rotating shift schedules melatonin administration favours the

reentrainment of the body temperature rhythm (Armstrong et at, 1986) and improves

sleep and alertness (Folkard et at, 1993). However, in previous studies not all

subjects responded beneficially to melatonin treatment (Arendt et at, 1985a; Mallo et

at, 1988; Skene et at, 1988). This may be due to the incorrect timing of melatonin

administration or perhaps inappropriate exposure to natural ambient light.

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Light exposure to treat jet lag can be timed to induce phase-advances or phase-

delays depending on its position with regard to the temperature minimum (Czeisler

et at, 1989; Minors et at, 1991, van Cauter et at, 1994, section 1.4.3). However,

in real life it is inconvenient and difficult to control natural light exposure. This may

occur at inappropriate times for the most expeditious reentrainment of circadian

rhythms and may counteract any beneficial influence of melatonin.

In field studies, it is difficult to standardise conditions in a crossover design

experiment. However, in a controlled environment it is possible to force a 9-10 hour

delay phase-shift and then release the subjects back into their normal environment,

simulating a rapid 9-10 hour eastward time-zone shift (see chapter 5).

This present study was designed primarily to study the effects of morning

bright light exposure potentially encountered by time-zone travellers or shift workers

and the consequence it may have on melatonin treatment administered near bedtime,

after a rapid 9h advance shift of external time cues, i. e. after a simulated eastward

transmeridian flight over 9 time-zones. Bright light exposure was timed to phase-

delay the biological clock and the melatonin treatment to facilitate the adaptation by

phase-advancing.

A second aim was to identify whether the beneficial influence of melatonin

on behaviour corresponds to the phase-shifting or resynchronising effects on the

endogenous "clock" in a placebo-controlled randomised crossover trial in the same

environment.

The effects of melatonin or placebo on adaptation to a rapid 9h advance phase-

shift were investigated, in the presence and absence of bright light exposure, in a4

leg, randomised, placebo-controlled, double blind crossover study.

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6.2 SUBJECTS and METHODS

6.2.1 Subjects

See section 5.2.1

6.2.2 Study design

Figure 6.1 shows a diagrammatic representation of the study. Section 5.2.2 describes

the initial part of the study in detail. In summary, volunteers were initially subjected

to a gradual, forced synchronised phase-delay of 9h using a combination of bright

light and imposed darkness (and sleep) in a controlled environment (D1-D5). The

adaptation to a subsequent rapid 9h advance shift in the subjects normal environment

was then studied under 4 different treatments.

Treatments:

Immediately following the maximum phase-delay (9h) induced by last

light/dark treatment, subjects were released back into their normal environment and

required to assume the baseline sleep/wake schedule, i. e. retiring to bed at 2330h and

waking at 0800h for 6 days (D6-1 1). The subsequent readaptation of the subjects in

their normal environment was then observed under 4 different treatments consisting

of 1) melatonin + dim light (MT), 2) placebo + dim light (P), 3) melatonin + bright

light (MT + BL) and 4) bright light + placebo (BL). Melatonin (5mg in gelatin-

lactose capsules) or placebo (vehicle) was administered just before the desired bedtime

at 2300h on D6-8. Bright light treatment occurred between 0800-1200h on D7-8 (dim

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Figure 6.1 Diagrammatic design of the study

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After a baseline period (days [D] -2 to 0), this study design was used to induce an initial, gradual 9h delay phase-shift (D 1-5) in volunteers using a combination of exposure to bright light (- 1200 lux, o) and darkness (ý). Subjects then resumed their normal baseline sleep/wake cycle in a normal environment on day 6 inducing a rapid 9h advance phase-shift of local time cues. In this 4 leg crossover study the readaptation was studied under four different treatments : melatonin, placebo, melatonin+bright light and bright light. ® Time of bright light treatment (2000 lux). + Time of melatonin (5mg) or placebo administration. O Natural ambient light exposure.

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light, < 150 lux; bright light, 2000 lux). Subjects avoided bright sunlight by wearing

sunglasses at all times when outdoors (transmitting < 10% of the light). At dusk,

they were required to remain in ordinary domestic lighting (50-300 lux) until bedtime

(and darkness). Each subjects' ambient lighting at work and home was monitored,

see section 5.4.1.

Subjects were only allowed to sleep during the periods of darkness throughout

this study. Naps were forbidden.

6.2.3 Sampling

See section 5.2.3.

6.2.4 Behavioural Measurements

See section 5.2.4

6.2.5 Hormone assays

See section 5.2.5

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6.3 STATISTICAL ANALYSIS

6.3.1 aMT6s and core body temperature profiles

Comparisons between treatments for the aMT6s rhythm were made on the

post-treatment days 10 and 11 where exogenous melatonin (aMT6s) had cleared from

the urine. On these days cosinor analysis gave 100 % fits at p<0.05. Temperature

profiles gave 100% fits over the treatment and post-treatment periods. Repeated

measures ANOVA followed by Duncan's post-hoc test were used to determine

differences between treatments for the raw aMT6s profiles on D 10-11 and cosinor-

derived rhythm parameters of aMT6s (D10-11) and temperature (D7-11).

6.3.2 Mood and performance daily means and sleep data

Treatment effects on the daily means for mood and performance parameters

and sleep variables were identified using repeated measures ANOVA (factors: day of

study and treatment), D7-11 (or nights 6-11 for sleep) followed by Duncan's multiple

range test for comparison between treatments.

6.3.3 Mood and performance rhythms.

For comparison between treatments, 24h profiles for each mood and

performance parameter were analysed by cosinor analysis over 3-day windows for

more reliable estimates of acrophase (treatment: D7-D9_ and post-treatment: D9-D11)

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followed by ANOVA (for repeated measures, factors: day of study and treatment,

D7-D11) and Duncan's multiple range test. An estimate of reentrainment to the 24h

day (and reestablishment of baseline cosinor rhythmicity with a period of 24h) is

provided by (1) percentage number of subjects with significant 24h cosine fits and (2)

percentage variance accounted for by a cosine curve, see section 2.8. All

comparisons are made with respect to individuals' baseline values.

6.4 RESULTS

One subject did not conform to the protocol and was therefore excluded from

the analysis. One subject did not exhibit a significant cosine rhythm (from cosinor

analysis) or time of day effect (repeated measures ANOVA) for SAM-5 performance

response time and was excluded from the analysis of this parameter.

The phase position of the light and melatonin treatments with respect to the

temperature and melatonin rhythms was determined on D6 during the placebo stage.

Measurement of aMT6s and temperature on this day occurred in conditions of dim

light (< 200 lux) or darkness with the subjects resting or asleep the entire 24h

period. The midpoint of light treatment occurred 2.94 ± 1.21h (mean ± SD) before

the temperature minimum. Melatonin administration occurred 12.4 ± 1.21h (mean

± SD) before the temperature minimum and 7.4 ± 1.21h (mean ± SD) before the

calculated melatonin onset in plasma.

6.4.1 Ambient light monitoring

See section 5.4.1

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6.4.2 aMT6s

Repeated measures ANOVA on raw aMT6s levels on D10-11 identified a

significant time of day by treatment interaction (p=0.0018, Figure 6.2) where MT

and MT + BL treatments favoured faster reentrainment of the aMT6s rhythm over

placebo and bright light which remained delayed. No effect of treatment on aMT6s

acrophase was evident (D10-11, p>0.1), Figure 6.3. Two subjects (AT5 and BT5)

delayed with MT and MT + BL treatment whereas all others advanced, Figure 6.3.

This differing effect of melatonin on certain subjects did not correlate with the

direction of individuals natural entrainment (cf Figure 5.18) or baseline acrophase.

BL delayed the aMT6s acrophase in 6 out of 7 subjects.

6.4.3 Temperature

No differences in temperature acrophase were seen between treatments

(Figures 6.4 and 6.5), although a significant time by treatment interaction for rhythm

amplitude (p=0.018) was evident where melatonin treatment favoured a faster return

to baseline amplitude over placebo and bright light.

6.4.4 Mood

There was a trend for both melatonin groups to improve daily mean alertness

and cheerfulness over placebo (p=0.06), Figure 6.6. BL improved alertness and

cheerfulness transiently over placebo, during the treatment period. There were no

significant effects on calmness. The alertness rhythm reestablished a normal baseline

cosine rhythm under the melatonin treatment groups with complete reentrainment,

Figures 6.7 and 6.8.

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Figure 6.2 Effect of melatonin and bright light on aMT6s profiles during adaptation to a rapid 9h advance phase-shift

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Clock time / Day of study

Adaptation of the circadian profiles of urinary aMT6s after a rapid 9h advance phase-shift under 4 different treatments: 1) melatonin (MT, A ), 2) placebo (P, 0 ), 3) melatonin + bright light (MT+BL, ") and 4) bright light (BL,   ). Melatonin treatment (? ) was timed to phase-advance (2300h on D6,7 and 8)

. Bright light exposure (Q ) was timed to phase-

delay (0800-1200h on D7 and D8). A significant time of day by treatment interaction (p<O. 002) on D 10-11 (exogenous melatonin days excluded) where both melatonin treatment groups facilitated faster reentrainment of the aMT6s rhythm over BL and P. M Darkness from 2330h to 0800h (< 1 lux), D6-11 .m Natural ambient light. Values represent mean +/- SEM (n=7) and are plotted with reference to the midpoint of the urine collection period.

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Figure 6.3 Effect of melatonin and bright light on adaptation of aMT6s acrophase to a rapid 9h advance phase-shift

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and bright light (13 ), no significant effect of treatment, repeated measures ANOVA), and (b) two subjects who delayed with MT (A) and MT+BL (0) treatments compared to all others who advanced with MT (A) and MT+BL ("). Exogenous melatonin days excluded from the analysis (- --). Values

represent mean +/- SEM. 4 Bright light exposure. Melatonin administration.

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Figure 6.5 Effect of melatonin and bright light on adaptation of the temperature cosinor rhythm to a rapid 9h advance phase-shift

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4 Bright light exposure. M Melatonin administration.

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Under bright light and placebo treatments, the normal baseline rhythm remained

completely disrupted. The low % rhythm and low number of subjects with significant

cosine fits with cosinor analysis prevented accurate estimates of acrophase to be

determined.

6.4.5 Performance

An effect of treatment proved significant for daily mean performance

efficiency only (SAM-1, p=0.022 and SAM-5, p=0.0044, D7-11, Figures 6.9 and

6.10) where both MT and MT + BL significantly (p < 0.01) countered the decrements

in daily means under P treatment. BL alone improved these ratings over P (p <0.01)

but only transiently.

No consistent and reliable cosine rhythm could be fitted to accuracy and

efficiency data (see section 5.4.2). Both MT and the MT+BL treatment groups

facilitated the reentrainment of the response time rhythms for both SAM-1 and SAM-

5, Figures 6.11 and 6.12, respectively. Lack of fit and low % rhythm precluded

estimates of reentrainment for bright light and placebo groups.

6.4.6 Sleep

MT and MT+BL improved sleep duration (p < 0.05), quality (p < 0.01, Figure

6.13) and duration of night awakenings (reduced, p <0.05, Figure 6.13) over P and

BL, N6-11. No differences were found between MT and MT+BL and between P

and BL for any sleep parameter.

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Figure 6.6 Influence of melatonin and bright light on adaptation of mood to a rapid 9h advance phase-shift

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208

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Figure 6.8 Influence of melatonin and bright light on adaptation of the alertness cosinor rhythm to a rapid 9h advance phase-shift

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provided by (b) % number of subjects with significant cosine fits (set at p<0.05) and (c) % variance accounted for by a cosine curve. Complete reentrainment was evident with MT and MT+BL treatments. Lack of fit and low % rhythm precluded reliable estimates of reentrainment for BL and P treatments, see Figs. (b) and (c). Values for Figs. (a) and (c) represent mean +/- SEM (n=7). D7-9: treatment period, D9-1 1: post- treatment.

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Figure 6.9 Influence of melatonin and bright light on the adaptation of SAM-1 performance to a rapid 9h advance phase-shift

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211

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Figure 6.10 Influence of melatonin and bright light on the adaptation of SAM-5 performance to a rapid 9h advance phase-shift

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212

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Figure 6.11 Influence of melatonin and bright light on the adaptation of SAM-1 performance cosinor rhythm to a rapid 9h advance phase-shift

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213

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Figure 6.12 Influence of melatonin and bright light on the adaptation of SAM-5 performance cosinor rhythm to a rapid 9h advance phase-shift

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Figure 6.13 Influence of melatonin and bright light on the adaptation of sleep to a rapid 9h advance phase-shift

Better Quality

Longer Duration

Longer Latency

789 Night of study

10 11

Subjective sleep measures of (a) sleep quality (SQ), (b) duration of night awakenings (DNA) and (c) sleep latency during adaptation to a rapid advance phase- shift (on day 6) under 4 different treatments: melatonin (A), placebo (O), melatonin + bright light (" ) and bright light ( ). Significant treatment effect for SQ and DNA (p<0.01, repeated measures ANOVA, nights 6-11) where both melatonin treatment groups improved ratings significantly over placebo and bright light (p<0.05, Duncan's post-hoc). ý Melatonin administration days. Q Bright light

exposure days. Values represent mean +/- SEM, n=7.

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6.5 DISCUSSION

Time-zone travellers and shift workers are often exposed to natural bright light

at times which may oppose the quickest adaptation of the circadian system. For

example, after flying east to a destination 9 time-zones away, the quickest adaptation

is generally to phase-advance the circadian system. However, working or relaxing

in bright light the following morning may delay the biological clock according to

phase-response curve theory (Czeisler et al, 1989; Minors et al, 1991, van Cauter et

al, 1994, section 1.4.3, Figure 1.5), preventing the quickest adaptation, and

prolonging the effects of "jet lag" in some individuals whose natural direction of

entrainment is to advance. Eastman and Miescke (1990) described how evening light

exposure of about approximately 2000 lux facilitated the entrainment of the

temperature rhythm in 74% of the subjects to a 26h sleep/wake schedule but only

25% of the subjects adapted with morning light exposure of the same intensity.

Therefore, natural bright light exposure may oppose the phase-shifting effects of

melatonin and negate any beneficial influence of melatonin on the circadian clock and

behaviour.

One of the aims of this study was to investigate the effects of melatonin timed

to facilitate the reentrainment of circadian rhythms by phase-advancing and exposure

to sufficiently intense morning bright light suitably timed to phase-delay. Of the four

treatments, morning bright light alone phase-delayed the aMT6s rhythm relative to

placebo in 6 out of 7 subjects. No such effect could be shown with the temperature

rhythm, presumably due to masking. Interestingly, bright light treatment did not

improve or worsen sleep and even improved daily mean performance scores and

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mood ratings compared to placebo. However, this effect proved transient, in most

cases ameliorating mood and performance only over the treatment period. In

addition, the alertness and performance response time rhythms did not reestablish

normal baseline patterns throughout the treatment and post-treatment periods. This

suggests that the improvements seen with bright light were most likely due to direct

psychostimulating effects (Campbell and Dawson, 1990; French et al, 1990; Myers

and Badia, 1993). The combination of melatonin and bright light treatment was as

effective as melatonin treatment alone at improving behaviour. In summary, bright

light, which phase-delayed the aMT6s rhythm, did not cause any great detrimental

effects on performance, sleep or mood relative to placebo and even had transient

beneficial effects on mood and performance.

The responsiveness of subjects to the phase-shifting effects of melatonin was

variable. The aMT6s rhythm delayed in 2 subjects with melatonin treatment whereas

the others advanced irrespective of the individuals natural direction of reentrainment.

Other studies have also reported inconsistent effects of melatonin on the biological

clock. Arendt et al (1985a) studied the effects of 2mg melatonin given at 1700h daily

for one month in spring or 3 weeks in autumn, without environmental control. The

endogenous melatonin rhythm (on the last day of the dose) was found to advance in

only 5 out of 11 subjects in Autumn. However, the endogenous and exogenous

components could not be easily distinguishable. In spring, the melatonin rhythm (on

the day after the last dose) advanced in only 2 out of 12 subjects. Mallo et al (1988)

found no phase-shift in the endogenous melatonin rhythm during administration of

8mg at 2200h for four days, but found an advance 3 days after the final melatonin

dose. Such inconsistencies may be due to the exposure of natural bright light

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opposing the phase-shifting effect of melatonin in the latter studies or individual

differences in circadian clock time. In the present study, there was no indication of

significant differences in individual circadian clock time as shown by similar

temperature minimums and aMT6s acrophases during the baseline and at the end of

the gradual delay phase-shift.

Using the melatonin phase-response curve (PRC) of Lewy et al (1992) as a

guide (see Figure 1.5), melatonin was first given approximately 7.5 hours prior to the

expected melatonin onset time in plasma which should have fallen within the phase-

advance portion of the PRC for every individual. A recent report by Zaidan et al

(1994) also predicts an advance phase-shift with melatonin administration at the time

used in the present study.

Previous studies have shown improvements in sleep patterns and alertness with

either no effect on performance (Arendt et al, 1987; Samel et al, 1991) or small

deleterious effects (Folkard et al, 1993) with melatonin treatment. However, baseline

differences and learning effects in these experiments prevented studying performance

variables effectively. In the present study, important improvements in performance

were observed with melatonin treatment after a large phase-shift in external time

cues.

Melatonin, timed to theoretically phase-advance its own endogenous rhythm

was consistently effective at improving sleep, mood and performance parameters even

in the presence of bright light exposure timed to counteract the melatonin treatment.

Using cosinor analysis, alertness and response time rhythms completely reestablished

normal baseline patterns within 1-2 days (during treatment) with both melatonin and

melatonin + bright light treatments unlike bright light alone and placebo treatments

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which took at least 5 days.

In contrast, there was no significant adaptation of the aMT6s rhythm

immediately after treatment withdrawal, although a significant time by treatment

interaction (ANOVA) in the raw aMT6s data indicated that both melatonin groups

favoured faster reentrainment over placebo and bright light treatments. Thus it seems

likely that the beneficial effects of melatonin on sleep and performance may not be

mediated through the entrainment of the endogenous "clock" and all circadian

rhythms. This is also suggested in a study where melatonin stabilised sleep patterns

and improved mood in a blind man without entrainment of the temperature or cortisol

rhythms (Folkard et al, 1990).

Moreover, the improvements in behaviour observed in this study were

obtained without a pre-shift (i. e. `pre-flight') treatment paradigm as used in other

studies (Arendt et al, 1986; Arendt and Aldhous, 1988; Arendt et al, 1987; Petrie et

al, 1989; Samel et al, 1991) and only 3 days post-shift (i. e. `post-flight') treatment.

In field studies where melatonin treatment was administered only after the flight, self-

rated jet lag still improved (Claustrat et al, 1992; Petrie et al, 1993). This treatment

schedule becomes of great practical benefit since daytime treatment prior to travel

may give rise to problems of increased drowsiness in some individuals (Lino et al,

1993, see Chapters 9-10 and Table 2.1).

In summary, all subjects responded similarly with immediate improvements

in behaviour with melatonin alone and when used in combination with bright light,

despite 2 subjects who phase-delayed and 5 who phase-advanced. Disturbances in

sleep which are the most common complaint of shift workers on rotation (Kogi, 1985)

may be the cause of the general feeling of discomfort, tiredness and poor performance

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common to jet lag and shift work more than disturbances in circadian rhythms. The

beneficial effect of melatonin on mood and performance coincides with improvements

in sleep and may be directly related to sleep quality. However, an effect on the

timing mechanisms of sleep, performance and mood cannot be excluded since the

improvements were not transient.

In conclusion, suitably timed melatonin treatment significantly alleviates

behavioural disturbances associated with large shifts of external time cues in the

presence or absence of bright light timed to counteract the phase-shifting properties

of melatonin. This effect of melatonin is not wholly mediated through an effect on

the biological clock or the reentrainment of all circadian rhythms.

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CHAPTER 7

PURIFICATION OF THE CORE BODY TEMPERATURE

RHYTHNI AFTER SIMULATED TIME ZONE TRAVEL

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Purification of the core body temperature rhythm after simulated time-zone

travel

7.1 INTRODUCTION

The circadian rhythms of melatonin and its urinary metabolite aMT6s, together

with core body temperature are commonly used phase markers of the endogenous

body clock. However, these rhythms are susceptible to powerful masking (disturbing)

influences which can distort the rhythm and result in the unreliable estimation of

circadian time. Although the melatonin/aMT6s rhythms appear to be minimally

affected by exogenous influences apart from light and posture (Lewy et al, 1980;

Deacon et al, 1994), core body temperature is susceptible to many exogenous factors.

For example, sleep causes body temperature to fall (Mills et al, 1978b; Wever,

1985b; Minors and Waterhouse, 1987) and activity, upright posture and bright light

increases temperature (Moog and Hildebrandt, 1989; Dawson and Campbell, 1991;

Minors and Waterhouse, 1989; Myers and Badia, 1993).

Measured rhythms are therefore the product of two components. One is

governed by the endogenous body clock, the other is dependent upon exogenous

influences, often described as "masking" effects. The size of the masking effect will

depend upon the relative strengths of the endogenous and exogenous components

acting on the circadian rhythm. A rhythm which is highly susceptible to exogenous

factors (such as the body temperature rhythm) will apparently adapt faster to changes

in local time cues than rhythms which are more strongly influenced by the slow

reentrainment of the internal body clock (such as the melatonin rhythm).

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Attempts to separate these components may therefore provide more reliable

information about the behaviour of the endogenous body clock. There are two main

techniques for separating exogenous influences from the endogenous component. The

first involves a "constant routine" procedure which eliminates or at least minimises

exogenous masking effects. Subjects are kept awake for at least 24h in an

environment of constant lighting, ambient temperature and humidity, and are given

identical and small snacks at frequent and regular intervals in either a recumbent

(Czeisler et al, 1989) or sedentary position with minimal movement (Mills et al,

1978a).

The second procedure involves changing the daylength in isolated

environments free from everyday external time cues. There is a limited daylength to

which the endogenous body clock can normally entrain to (23-27h) beyond which it

will free-run with its natural endogenous m 25h period (Wever, 1983). By extending

or shortening the day beyond this range of natural entrainment, it will effectively

separate the two components. For example, requiring subjects to live on a 21h day,

will allow the endogenous rhythm to free-run with a periodicity of approximately 25h.

By observing the exogenous component (with a periodicity of 21h) over all phases of

the endogenous cycling rhythm, it is possible to determine the degree of masking due

to activity, sleep, posture and meals, etc (Wever, 1979; Minors and Waterhouse,

1982).

The constant routine procedures are impractical and laborious to study

circadian rhythms on a day to day basis when investigating adaptation to time-zone

shift or shift work. One of the major problems is depriving the subjects of sleep.

However, an estimate of the masking effect can be determined by comparing the

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circadian rhythm in a normal environment with that obtained under constant routine

conditions. The difference between the two rhythms can then be used as a measure

of the masking effect (Wever, 1985b). Then by simply subtracting the exogenous

increment, a more reliable estimate of the endogenous behaviour of the body clock

can be determined in a normal environment. This does assume that the endogenous

and exogenous components are additive and independent of each other, however.

One mathematical procedure which employs this idea has been developed by Minors

and Waterhouse (1992,1993).

It is the purpose of this chapter to describe the results obtained from using

such a mathematical model to uncover the endogenous behaviour of the body clock

after simulated time-zone travel, using the core body temperature rhythm as a

circadian phase marker. Using comparisons with the raw temperature data and

urinary aMT6s, the usefulness of this model will be assessed.

Dr J. M. Waterhouse and Dr D. S. Minors kindly performed the "demasking"

procedure on the raw temperature data. I then performed the subsequent analysis.

7.2 METHODS

The experiment is described in detail in Chapters 5 and 6. In summary, after

a 3-day baseline (days [D] 1-3), 7 healthy volunteers were initially subjected to a

gradual 9h delay phase-shift in partial isolation using a combination of exposure to

bright light and darkness/sleep (over 5 days, Dl-5). Subjects then resumed their

baseline sleep/wake cycle in a normal environment inducing a rapid 9h advance

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phase-shift in local time cues and simulating a 9h eastward time-zone shift (on D6).

In this 4-leg crossover study the readaptation was studied under four different

treatments, 1) melatonin, 2) placebo, 3) bright light and 4) melatonin and bright light.

Core body temperature was recorded every 6 minutes throughout the whole

study and averaged into 30 minute bins for analysis.

7.2.1 Purification procedure

This "demasking" procedure relied on the individuals activity diaries, in which

they recorded the type of activity during half hour segments throughout each day (see

section 2.5). In addition, sleep logs were used to determine periods of recumbency

(lying) and sleep. The main categories used for "purification" were `sleeping',

`lying', `relaxing' (e. g watching TV, reading), ̀ sitting alert' (e. g. sitting working at

a computer or writing at desk) and ̀ light activity'( e. g. walking). Subjects refrained

from vigorous activity (e. g. playing squash). `Lying' was taken as the first 30

minutes in bed, and other times indicated on their logs as in bed but not asleep.

The principle of the purification procedure was as follows. Depending on the

type of activity that occurred during the previous half hour, temperature data were

either increased or decreased by 0.1°C increments or remained unchanged. For every

adjustment made in the temperature data, the purified 24h data set was compared with

the standard endogenous 24h profile obtained under constant routine conditions. This

standard profile was compiled by pooling data from approximately 80 subjects and

was taken to represent the normal population as a whole (Minors and Waterhouse,

1992). By superimposing the two profiles and by altering the size of the masking

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effects by 0.1°C increments, the best-fitting profile which produced the minimum

summed square deviations between the purified data set and the standard profile was

determined.

All temperature data recorded when the subjects were lying were unchanged.

"Lying" was taken to be the standard postural position/activity where no masking

effects were present since the standard endogenous profile was obtained when the

subjects were inactive and recumbent in constant routine conditions. Temperature

data recorded when subjects were sleeping were increased and data recorded when

subjects were relaxing (but sitting/erect), sitting alert or walking were reduced.

This procedure was performed a number of times to cater for all the

combinations of possible fits. For example, under the `sleep' category, every time

the subject recorded being asleep (which depresses body temperature), the

temperature data were increased in 0.1°C increments from 0 to 1.0°C. This means

that the purification procedure needed to be performed 10 times for this parameter.

For temperature data recorded whilst walking (light activity category, corresponding

to an elevation in temperature), values were reduced from 0 to -1. IOC. This means

that the purification procedure needed to be performed 11 times for this category.

Therefore, just using these two categories the purification procedure was performed

10 x 11 times to determine the best-fit. This was repeated for every subject for every

day of the trial. All five categories were used.

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7.3 STATISTICAL ANALYSIS

Cosinor analysis was used to determine the rhythm parameters of acrophase

and amplitude (section 2.8) for both the raw "masked" and purified temperature

profiles.

In order to obtain more reliable estimates, for each individual the cosinor-

derived parameters were grouped on identical days during baseline and gradual delay

phase-shift over the 4 legs of the study for body temperature under masked conditions

and after purification, and for aMT6s for comparison.

7.3.1 Baseline (D-2 to DO)

Differences in purified temperature acrophase and amplitude estimates over

the baseline were assessed by one way ANOVA. Comparisons between temperature

parameters before and after purification were analysed by Student's paired t-test to

determine the effect of purification on acrophase and amplitude values obtained under

normal entrained conditions.

7.3.2 Gradual 9h delay phase-shift (D1-5)

Acrophase and amplitude values for masked and purified temperature rhythms

(and aMT6s acrophases) were calculated as a difference from individuals' mean

baseline. Subjects were then grouped to compare (a) degree of shift between purified

temperature, raw temperature and aMT6s rhythms and (b) temperature amplitude

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values before and after purification, using repeated measures ANOVA (factors: day

of study and type of rhythm). Regression correlation was used to determine any

relationship in the rate of adjustment between the rhythms.

7.3.3 Rapid 9h advance phase-shift (D6-11)

Comparisons of the normal rate of adaptation between aMT6s, purified

temperature and masked temperature were assessed under placebo treatment.

Due to the uneven number of subjects with significant cosine fits (and with

variable estimates of acrophase, e. g. see Table 7.1) repeated measures ANOVA was

not appropriate. One way ANOVAs were used to determine differences in the degree

of adaptation between the aMT6s rhythm, and the temperature rhythm before and

after purification across each day. The effect of treatment on adaptation of the

purified temperature rhythm was determined in a similar way.

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7.4 RESULTS

Only the 24h data sets with significant cosine fits (p<0.05) were used. 86%

of the purified 24h data sets were significant at p<0.05 compared to 99.5% of the

masked temperature data.

7.4.1 Normal baseline conditions

No significant differences in the purified or raw temperature estimates of

acrophase and amplitude were apparent over the baseline. The purified estimates of

acrophase were significantly phase-delayed by 1.15 ± 0.13h relative to the raw

estimates (p<0.02, masked rhythm = 16.16 ± 0.06h, purified rhythm = 17.31 ±

0.15h, mean ± SEM, n =7). The amplitude of the rhythm was significantly reduced

by approximately 50% after purification (p<0.0001, masked = 0.52 ± 0.02°C,

purified = 0.26 ± 0.02°C, mean ± SEM), Figure 7.1.

7.4.2 Adaptation to a gradual 9h delay phase-shift

The purified temperature rhythm was significantly slower to adjust to the

gradual 9h delay phase-shift than the masked temperature rhythm by an average of

0.7 ± 0.4h per day and the aMT6s rhythm by 1.05 ± 0.31h per day (D1-5, mean

± SEM, treatment and time by treatment interaction effect, p<0.05), Figures 7.2

and 7.3. The maximum degree of shift in the purified temperature rhythm (compared

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Figure 7.1 Purification of the core body temperature rhythm

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Purification of the core body temperature rhythm for one subject during a baseline day in a normal environment showing (a) the temperature rhythm under masked conditions () and after purification (-), (b) the degree of masking effect from

sleep and activity and (c) subjects activity diary. Arrow indicates calculated peak time of the rhythm.

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Figure 7.2 Comparison of the rate of adjustment between the aMT6s and temperature (raw and purified) rhythms to a gradual 9h

delay shift

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5 6

Degree of delay phase-shift (from acrophase estimates) in the aMT6s rhythm (f ), and the core body temperature rhythm under masked conditions (0 )

and after purification (U) during adaptation to a gradual 9h delay phase- shift (days 1 to 5). The purified temperature rhythm was significantly slower to adjust than the masked temperature rhythm by a mean (+/- SEM) 0.7 +/- 0.4h per day and the aMT6s rhythm by 1.05 +/- 0.31h per day (time by treatment interaction, p<0.05). Values represent mean +/- SEM, n=7 subjects.

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Figure 7.3 Relationship between the rate of adaptation of purified and raw temperature rhythms and aMT6s rhythm to a gradual 9h delay

phase-shift

a) r-0.887, p<0.0001 y=1.03 (+/- 0.09) + 0.56 (0.53)

b) r-0.765, p<0.0001 y--0.77 (+/- 0.11) + 0.37 (0.74)

 

IIIII

02468 10 24

Degree of shift in the purified temperature rhythm (h)

ýý vý ý 

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8 10

21 1 jýb   y=1.07 (+/- 0.08) -0.77 (0.52)  

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0 2468 10

Degree of shift in the aMT6s rhythm (h)

Relationship between the degree of shift during the gradual 9h delay phase-shift of (a)

purified and raw temperature rhythms, (b) purified temperature and aMT6s rhythms and (c) raw temperature and aMT6s rhythms. Regression values inside brackets are +/- SEM.

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to mean baseline) on D5 was 8.14 ± 0.38h and D6 was 8.98 ± 1.33h (mean ±

SEM). There were no significant differences in the degree of shift obtained between

aMT6s, purified temperature and raw temperature rhythms on D6 with only a

tendency for the purified temperature rhythm to be slightly delayed compared to the

raw temperature and aMT6s rhythms on D5 (p=0.06).

The temperature rhythm amplitude under masked conditions was significantly

reduced by 0.18 ± 0.02°C (D1-5, p <0.005) relative to the purified estimates, Figure

7.4. After purification the rhythm amplitude showed no significant deviation from

baseline.

7.4.3 Adaptation to rapid 9h advance shift

The masked temperature rhythm apparently adjusted to a rapid 9h advance

phase-shift in one day whereas even after 5 days (D11) the purified temperature and

aMT6s rhythms were not fully adjusted (p<0.05, significantly different from

individuals baseline, n =7), Figure 7.5, Table 7.1.

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Figure 7.4 Effect of purification on the temperature rhythm amplitude during a gradual 9h delay phase-shift

I I 012345

Day of study

-0.24

Amplitude of the core body temperature rhythm under masked conditions (0)

and after purification (  ) during adaptation to a gradual delay 9h phase-shift (days 1 to 5). The temperature rhythm amplitude under masked conditions was significantly reduced compared to the rhythm after demasking (ANOVA, p<0.005). Values represent mean +/- SEM, n=7.

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Figure 7.5 Effect of purification on the rate of adjustment of the temperature rhythm to a rapid 9h advance phase-shift

i

0

2-

4-

6

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456789 10 11 Day of study

I IIIII

Degree of advance phase-shift (from acrophase estimates) in the aMT6s rhythm (f ), and the core body temperature rhythm under masked conditions ( 0) and after purification ( ) during adaptation to a rapid 9h advance phase-shift (on day 6). 5 days after the shift (day 11) the purified temperature and aMT6s rhythms were not fully adjusted (p<0.05) unlike the masked temperature rhythm which was apparently adjusted by day 7/8. Values represent mean +/- SEM (only data from subjects with significant (p<0.05) cosine fits used, n=7 for masked temperature and aMT6s, for purified temperature mean n=5.4 +/- 1.7 (+/- SD)).

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Table 7.1. Individual difference in purified temperature acrophase estimates (on

hours) from mean baseline (D-2 to DO) during adaptation to a rapid 9h advance

phase-shift (on day 6)

Subject

Day of study ABCDEFG

6 9.97 9.4 6.55 9.5 7.9 10.4 9.13

7 11.77 ns ns ns 2.8 ns 0.73

8 5.37 ns 8.35 3.7 2.8 ns ns

9 2.57 10.4 0.35 7.9 6.2 3.3 0.63

10 ns ns ns 8.1 8.6 10.1 0.83

11 4.57 6.8 2.65 7.9 3.8 1 1.13

ns: non-significant fits

The temperature rhythm amplitude under masked conditions apparently did not

adjust properly until the fourth and fifth days after the advance shift (D10 and D11),

Figure 7.6. After purification amplitude estimates were not significantly affected.

Of the four treatments, melatonin and melatonin + bright light treatments

facilitated the reentrainment of the purified temperature rhythm with complete

reentrainment by D II. Bright light and placebo treatments remained delayed.

However, no significant treatment effect could be determined. No treatment

differences in rhythm amplitude were apparent.

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Figure 7.6 Effect of purification on the rate of adjustment of the temperature rhythm amplitude to a rapid 9h advance phase-shift

o. i ý Ö 0-

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-0.37 ä

-0.4 I I IIIII 456789 10 11

Day of study

The amplitude of the core body temperature rhythm under masked conditions (0) and after purification (  ) during adaptation to a rapid 9h advance phase- shift (on day 6). Values represent mean +/- SEM (only data from subjects with significant (p<0.05) cosine fits used, n=7 for masked temperature and aMT6s, for purified temperature mean n=5.4 +/- 1.7 (+/- SD)).

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Figure 7.7 Effect of melatonin and bright light on adaptation of the purified body temperature rhythm

04

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Day of study

4

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mean baseline

Acrophase estimates for the purified core body temperature rhythm during

adaptation to a rapid 9h advance phase-shift (on day 6) under 4 different treatments: melatonin (A), placebo (O), melatonin + bright light (" )

and bright light (m). Values represent mean +/- SEM (only subjects data

with significant (p<0.05) cosine fits used, mean n= 5.7 +/-1 (+/- SD)). No

sý ficant treatment effect (ANOVA). Bright light exposure. = Melatonin administration.

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7.5 DISCUSSION

There are some assumptions of this purification procedure which are described

in detail by Minors and Waterhouse (1992) and are outlined here. The endogenous

component of the rhythm is considered to reflect the internal pacemaker whereas the

exogenous component is assumed to be largely a result of the subjects' lifestyle. Both

are independent and the exogenous component amplifies the endogenous rhythm. It

is assumed that every individuals endogenous circadian rhythm reflects the standard

endogenous rhythm derived from constant routine experiments in period and shape,

i. e. one which closely represents a cosine curve. Furthermore, masking effects are

assumed not to be dependent on circadian phase. However, there is some evidence

to suggest that the masking effect of sleep on temperature is greater on the descending

phase of the endogenous temperature rhythm than at other times (Wever, 1985b;

Mills et al, 1978b). The effects of posture, light activity and exercise at different

circadian phases are considered to be small or insignificant (Moog and Hildebrant,

1986; Minors and Waterhouse, 1989).

7.5.1 Normal baseline conditions

In entrained (baseline) conditions, the exogenous component accounted for

approximately 50% of the temperature rhythm amplitude, suggesting that the ratio

between the endogenous and exogenous components is approximately 1: 1 in normal

entrained conditions. This ratio agrees with that determined by Folkard (1989). The

phase of the rhythm was also delayed after purification. The endogenous temperature

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rhythm peaked around 1700h (in the presence of little or no masking effects).

However, elevated temperature values due to activity during the day especially in the

morning caused the cosine curve to fit slightly differently such that the calculated

peak of the rhythm was estimated to be earlier in the day, for example see Figure

7.1.

7.5.2 Adaptation to a gradual 9h delay phase-shift

During the slow 9h delay phase-shift, designed so that behavioural and

physiological rhythms shifted in synchrony, the adjustment of the purified temperature

rhythm was slower compared to the masked rhythm. The imposed delay shift in the

sleep/wake cycle delayed the exogenous masking effects such that activity occurred

during times when body temperature was naturally low (elevating the values) and

sleep occurred during times when body temperature was naturally high (lowering the

values). This effectively shifted the acrophase estimates in the direction of the

imposed phase-shift. The degree of masking due to sleep and activity could be

clearly observed in the amplitudes of the temperature rhythm before and after

purification. After purification no significant reduction in the amplitude of the

temperature rhythm was observed compared to the raw temperature profiles.

The maximum degree of shift induced was assessed on the last day of the

gradual delay phase-shift. However, comparison with the shift in the aMT6s rhythm

may be more reliable on day 6 since the masking effects of bright light on melatonin

concentrations (e. g. Lewy et al, 1980) and body temperature (French et al, 1990;

Myers and Badia, 1993) may have influenced acrophase estimates during the shift.

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On this day (D6) subjects were exposed to conditions of dim light (<200 lux) or

darkness. It is assumed that the magnitude of the actual induced delay shift in the

aMT6s rhythm was greater than or equal to the measured shift on this day. The

degree of shift was comparable to that obtained for both the purified and raw

temperature rhythms, indicating that 9h shifts can be induced in major endogenous

physiological circadian rhythms without disruption using this experimental model.

7.5.3 Adaptation to a rapid 9h advance phase-shift

After the rapid 9h advance phase-shift (simulated eastward time-zone shift) and

observing the readaptation without treatment, masking caused the raw temperature

rhythm to reentrain within one to two days. However, it was clear that the rhythm

amplitude had not established its normal baseline pattern even after 5 days. This

could be explained by the inappropriate phase relationship between the endogenous

and exogenous components of the temperature rhythm as explained above. The

temperature rhythm after purification showed slow apparent readaptation similar to

the aMT6s rhythm. Of the known masking influences on the aMT6s rhythm, the

masking effects of ambient bright light were controlled and considered minimal

during readaptation (intensity of light <500 lux). The rate of adjustment of the

aMT6s rhythm was therefore considered to be a reliable indication of circadian time

and an appropriate reference rhythm marker for the temperature purification method.

The aMT6s rhythm adjusted at a steady and slow rate. By the fifth day the

rhythm had only readapted by approximately 2.5h (with great individual variations,

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see Figure 5.18). In comparison, after purification the temperature rhythm apparently

"phase jumped" by about 4h immediately after the rapid advance shift followed by

a more gradual adaptation. After five days (D 11), the purified temperature rhythm

had adjusted by approximately 5h. When this temperature purification procedure was

used to determine the adaptation of nurses to night shift work, a similar "phase jump"

was observed on the first switchover day, after which a slow and gradual adaptation

to the new schedule was observed (Minors and Waterhouse, 1993). This "phase-

jump" may suggest that some masking effects were still present in these studies. In

another simulated time-zone shift, where the exogenous component was taken into

account using a similar mathematical model, no immediate "phase jump" was evident

(Folkard et al, 1991). Instead, a gradual adaptation, calculated to be approximately

30 minutes per day (2.5h after five days) was observed. By determining the

endogenous component of the temperature rhythm in this way the rate of adaptation

of the internal clock was found to be smaller compared to the rate of about lh per

day determined by other studies under normal conditions (Klein and Wegmann, 1980;

Wegmann et al, 1983), using a version of the constant routine procedure which

allows sleep (Moog and Hildebrandt, 1989) and using a mathematical simulation (Tsai

et al, 1988).

Unfortunately, in the present study it was not possible to determine accurately

the rate of adjustment to the rapid 9h advance phase-shift due to the lack of subjects

with significant cosine fits and highly variable acrophase estimates. A number of

reasons may account for this. Firstly, not all masking effects may have been

removed. The categories of masking used concentrated on activity/sleep and posture.

Other masking factors may be important. For example, the masking effects of hot

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showering or bathing, stress and heavy meals on body temperature has not been fully

investigated. These masking effects may well be attenuated in normal life compared

to the effects of activity and sleep. However, the purification method reduces the

amplitude of the rhythm and hence weak masking factors under normal conditions

may have more pronounced effects on cosinor-derived rhythm parameters after the

stronger masking factors are removed. The purification process is therefore

influenced by the number of categories of masking used. As Minors and Waterhouse

(1992) suggest, by increasing the number of categories used overestimation of the

degree of shift is less likely to occur.

However, even if all sources of variation due to masking were removed, the

chance of error from other sources such as temperature measurement and inaccurate

activity diaries still exist and would result in more erratic acrophase estimates. There

were indeed cases where the activity diaries did not coincide with the raw data.

Computerised activity monitors may provide a more reliable reference source for

future experiments. A more reliable estimate of circadian time was achieved by

averaging individuals acrophase and amplitude values on the same days during

baseline and the gradual delay shift over the 4-leg crossover study.

It was difficult to assess correctly the cosinor-derived parameters of the

purified temperature rhythm during the treatment period due to the temperature-

elevating effects of bright light (French et al, 1990; Myers and Badia, 1993) and

temperature-lowering effects of melatonin (Chapter 9 and 10). Treatment effects on

the aMT6s rhythm were compared after exogenous melatonin had cleared, on days

10-11. The purified temperature rhythm exhibited a similar acrophase profile to that

observed with the aMT6s rhythm for each treatment, Figure 6.2. Under bright light

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and placebo treatments the endogenous temperature rhythm remained phase-delayed,

whereas both melatonin treatment groups facilitated the adaptation of the temperature

rhythm with complete adjustment on D11. These results, however, do remain

tentative for the reasons outlined above. For a detailed account of the effects of

treatment on adaptation to a rapid 9h advance shift, see Chapter 6.

There is little doubt that masking causes apparent overestimates of the degree

of shift leading to inaccurate estimates of circadian time. An example of the

problems encountered in interpreting masked data comes from fractional

desynchronisation studies where the daylength was progressively shortened or

lengthened until the endogenous rhythms free-ran (Wever, 1983; Folkard et al, 1984;

Minors et al, 1988). Such protocols allowed deductions as to whether a particular

endogenous rhythm was more likely to be governed by the "strong" oscillator with

a limited range of entrainment or by a weaker pacemaker which has a much greater

range of entrainment. Temperature apparently adjusted more easily to longer or

shorter days than the urinary melatonin rhythm (Folkard et al, 1984; Minors et al,

1988). However, taking into account the exogenous component, the temperature

rhythm followed a similar path to the aMT6s rhythm (Minors and Waterhouse, 1992).

Although constant routine protocols are effective in minimising masking

influences, they are inappropriate for studying the detailed adjustment of circadian

rhythms in every day life in the presence of normal zeitgebers. A major problem of

constant routine protocols is sleep loss. It is not known whether this effect or indeed

the procedure itself imposes a masking effect. It is quite possible that fatigue

associated with sleep loss may affect subjective ratings of sleep and mood and

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performance measurements. Moog and Hildebrandt (1986) have, however, adapted

the constant routine protocol to allow sleep when desired.

In conclusion, masking can lead to overestimations of the degree of adaptation

of the body clock using the core body temperature rhythm as a circadian phase

marker. This method of temperature purification should prove useful by allowing a

more accurate estimation of circadian time of the endogenous body clock in normal

everyday life.

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CHAPTER 8

INDUCING CIRCADIAN RHYTHM DISTURBANCES IN

PARTIAL ENVIRONMENTAL ISOLATION: ADAPTATION

TO A 9h DELAY PHASE-SHIFT AFTER A GRADUAL 9h

ADVANCE SHIFT

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Inducing Circadian Rhythm Disturbances in Partial Environmental Isolation: Adaptation to a Rapid 9h Delay Phase-Shift After a Gradual 9h advance Shift.

8.1 INTRODUCTION

In field studies, the length of time required for readjustment tends to be faster

after westbound transmeridian travel, which requires the circadian system to delay,

than eastbound travel requiring a phase-advance. An average reentrainment speed of

lh per day when travelling east and 1.5h per day when travelling west over 5-11

time-zones has been estimated in field conditions (Aschoff et al, 1975; Klein and

Wegmann, 1980). These are estimates encompassing different circadian rhythms,

conditions, subjects and the whole readaptation period. However, this direction

difference seems to be independent of whether the flight was outward bound or

homeward bound or whether the flight occurred at night or during the day (Klein,

1970; Wegmann et al, 1970; Klein et al, 1972a, 1972b).

The present study was designed to simulate a rapid 9h westward bound

transmeridian flight using a similar experimental model to that described in Chapter

5 but in the opposite direction. The readaptation of various circadian rhythms and

behavioural functions were studied in detail in a normal environment and compared

to the simulated 9h eastward transmeridian flight described before.

This trial was a collaborative project in association with final year project

students L. Bhattacharjee, A. Curnow, N. Lawrence, Z. Wright, A. Tasoula. It

included a separate study investigating the response of various gut hormones to a set

meal before and after a 9h advance phase-shift. Sampling details from the latter study

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will be provided since frequent and heavy blood collections were required and were

important considerations when interpreting behavioural measurements.

I will report here on the analyses I have performed.

8.2 SUBJECTS and METHODS

8.2.1 Subjects

6 healthy volunteers (3M: 3F), aged 20-24 years (mean ± SD, 20.7 ±2

years), under no medication and all non-smokers, followed similar sleep/wake

schedules and lifestyles prior to the trials. They refrained from heavy exercise and

restricted their alcohol consumption (maximum 2 units per day) throughout the

experiment.

8.2.2 Study Design

-3

The design was as follows:

-2 -1 0

Baseline

Regular sleep/wake cycle and normal environment

DAYS (D)

23456 7

III : hanging 1 Stable

Slow, forced 9h advance phase-shift

8 9 10

I Readaptation in normal environment with baseline sleep/wake cycle.

Rapid 9h delay phase-shift

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Baseline: For 4 days prior to the phase-shift (days (D) -3 to 0), the subjects were

required to maintain a regular sleep/wake schedule, retiring to bed at approximately

2330h and waking at 0730h, remaining in the dark (< 1 lux) between these times.

Gradual 9h advance phase-shit: Immediately following the baseline days, the

subjects were exposed to 10h pulses of moderately bright (average 1200 lux at eye

level), full spectrum light at progressively 3h earlier times over the first three days

(D1-3) and then at the same times on D 4-5 as for D3. The periods of light exposure

were as follows:

Dl: 0430-1430h, D2: 0130-1130h, D3,4,5: 2230-0830h.

Except for D1, each period of light treatment was preceded by 8 hours of

imposed darkness (< 1 lux) when they slept. On DI, light exposure was preceded

by 5h of darkness/sleep. During the remaining hours of each day, subjects were in

dim light (< 300 lux, indoors) or moderately bright light (< 1000 lux, outdoors with

sunglasses) until dusk (1630/1700h). Throughout the phase-shift (D1-5) meal-times

were shifted progressively earlier by 3 hours on days 1-3 and then maintained at the

same times on D4-5 as for D3, in line with the imposed light/dark and sleep/wake

cycles. Subjects were allowed to choose their activity (e. g. reading, writing,

watching videos) as long as they glanced regularly (at least every 5 minutes) at the

light source. The patterns of exposure to bright light, natural ambient light and

darkness are summarized in Figure 8.1.

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Figure 8.1 Diagrammatic design of the study

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24: 00 04: 00 08: 00 12: 00 16: 00 20: 00 24: 00

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Diagrammatic design of the study showing patterns of exposure to bright light (0

,- 1200 lux), darkness/sleep (=) and natural ambient light (r m). After a4 day baseline (D-3 to DO), a gradual 9h advance phase-shift was induced over 3 days (D1-3) and then the 9h shift was maintained for the following 2 days (D4-5). On day 6, subjects resumed their baseline

sleep/wake schedule in a normal environment, thus experiencing a rapid 9h delay phase-shift of local time cues.

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9h rapid delay phase-shift: Immediately following the last light/dark treatment on

day 6, subjects were required to assume the baseline sleep/wake schedule in their

normal environment, inducing a rapid 9h delay phase-shift in external time cues, i. e.

retiring to bed at 2330h and rising at 0730h for 5 days (D6-10). The subsequent

readaptation of the subjects in their normal environment was then observed. Subjects

were asked to avoid bright sunlight and wore sunglasses when outdoors (filtering out

>90% of the light). At dusk, they were required to remain in ordinary domestic

lighting (50-300 lux) until bedtime (and darkness).

Subjects were only allowed to sleep during the periods of darkness throughout

this study. Naps were forbidden.

8.2.3 Sampling

Urine: Sequential 4-hourly urine samples (8-hourly when asleep) were collected

throughout each stage. All urine was collected throughout each four hour period and

the bladder completely emptied at the end of that collection period. See section 2.2.

Blood: Blood samples (16mis) were collected frequently (6 x 15mins. followed by

4X 30 mins. followed by 3x 60 mins. ) from 1315h until 1945h on days 0 and 6.

Temperature: Rectal temperature was recorded continuously every 6 minutes

throughout the trial as described in section 2.5.

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8.2.4 Behavioural Measurements

These were measured as described in section 5.2.4.

8.2.5 aMT6s assay

Urinary aMT6s was measured by L. Withey (University of Surrey) as

described in section 2.3.4. The interassay coefficients of variation were 13.2,13.5

and 12.7% at 3.3,23.7 and 57 ng/ml. The minimum level of detection was 0.21 f

0.13 ng/ml (mean ± SD).

8.3 STATISTICAL ANALYSIS

8.3.1 Temperature and aMT6s rhythms

Urine collections were not complete due to ill health of 2 of the investigators.

58% of the 24h collections were complete. D-2, D4 and D9 were used for the

analysis of urinary aMT6s since 5 subjects had complete 24h urine collections on

these days.

Repeated measures ANOVA (factors: day of study and time of day) were

applied to raw temperature (averaged every hour) and urinary aMT6s data. Cosinor-

derived parameters of acrophase and amplitude for both rhythms were subjected to

ANOVA (factor: day of study), over the baseline, gradual delay phase-shift and

readaptation periods. Degrees of shift were determined by comparison with

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individuals mean baseline.

8.3.2 Mood and performance rhythms

These were analysed as described in section 5.3.24h profiles for each mood

and performance parameter were subjected to cosinor analysis over 1-day windows

and then 3-day windows for more reliable estimates of acrophase and amplitude

(baseline: D-3 to D-1, changing phase shift: D1-3, stable phase shift: D3-5,

readaptation period: D6-8 and D8-10).

8.3.3 Sleep data and daily means for mood and performance

Daily means for every mood and performance parameter were determined.

All sleep, mood and performance data were calculated as a percentage of, or

difference, from individuals own mean baseline (D-3 to D-1). Both DO and the

following night were omitted for this calculation since heavy blood sampling and a

shortened night may have compromised behavioural parameters. All data were then

analysed by repeated measures ANOVA (factor: day of study) over baseline (D-3 to

D-1), gradual advance phase-shift (D-3 to D5) and the rapid delay phase-shift (D6-

10), compared to baseline (D-3 to D-1).

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8.4 RESULTS

Cosinor analysis did not consistently and reliably fit 24h profiles of mood and

performance data even during the baseline. No reliable inferences could therefore be

made regarding the cosinor-derived estimates of phase and amplitude of mood and

performance rhythms. One subject did not carry out a sufficient number of mood

ratings and performance tests to determine accurately daily means and was therefore

excluded from all mood and performance analysis.

Cosinor analysis gave 100% (at p<0.005) significant fits for 24h temperature

data. The percentage variance accounted for by a cosine curve for all aMT6s profiles

on D-2, D4 and D9 were > 80%.

8.4.1 Baseline

No significant baseline differences for any sleep, mood, aMT6s or temperature

parameters were evident (p > 0.1). A significant time of day effect (p < 0.001) was

established by ANOVA for aMT6s, body temperature and alertness (except for D-3),

Figures 8.2,8.3 and 8.4, respectively.

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Figure 8.2 Temperature profiles before and during a gradual 9h advance phase-shift

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12: 00 12: 00 12: 00 12: 00 12: 00 12: 00 12: 00 12: 00 12: 00 12: 00 D-3 D-2 D-1 DO Dl D2 D3 D4 D5 D6

Clock time/ Day of study

Circadian profiles for core body temperature over a4 day baseline (D-3 to DO) and a gradual 9h advance phase-shift (D 1-6). A significant phase-advance was indicated by ANOVA for repeated measures (time of day by day of study interaction, p<0.001, D-1

versus D5). A decline in amplitude was observed over the phase-shift (p<0.05). Bars show

patterns of exposure to bright light (1200 lux, o), darkness (< 1 lux, M) and natural ambient light (®). Temperature was recorded continously every 6 minutes then averaged and plotted every hour as the mean of 6 subjects (+ SEM).

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Figure 8.3 Adaptation of the urinary aMT6s rhythm to a gradual 9h advance phase-shift

0730- 1130- 1530- 1930- 2230- 0330- 1130 1530 1930 2230 0330 0730

Time (hour of day)

Mean circadian profiles of urinary aMT6s for 5 subjects (+ SEM) showing phase-advance on the fourth day (D4,  ) of the gradual 9h advance phase-shift compared to baseline (D-2, [3). Phase-advance indicated by repeated measures ANOVA (time of day by day of study interaction,

p<0.02). Darkness from 2330 to 0730h on D-2 and from 1430 to 2230h on D4.

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Figure 8.4 Alertness profiles before and during a gradual 9h advance phase-shift

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D-3 D-2 D-1 DO D1 D2 D3 D4 D5

4 Clock time/ Day of study

Daily profiles for self-rated alertness over a4 day baseline (D-3 to DO) and a gradual 9h advance phase-shift (D 1-5). = Bright light exposure (1200 lux), - darkness (< I lux), ® normal ambient light. Values represent mean (+ SEM), n=5 every 2h during wakefulness. I Blood sampling day. A phase-advance was indicated by

repeated measures ANOVA (time of day by day of study interaction, baseline versus D5, p<0.0001).

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8.4.2 Adaptation to a gradual 9h advance phase-shift

Using individuals as their own controls the degree of advance shift in the

aMT6s rhythm was 9.16 ± 1.22h (mean ± SEM, n =5, D4 compared to D-2),

Figure 8.5. The masked temperature rhythm shifted by a similar degree, 8.63 ±

0.57h (mean ± SEM, n=6, D5 compared to mean baseline), Figure 8.5. An

advance phase-shift was also indicated with ANOVA on the raw aMT6s, temperature

and alertness data, Figures 8.2,8.3 and 8.4 (time of day by day of study interaction:

alertness: p<0.001 (n=5, D5 versus mean baseline), temperature: p<0.001 (n=6,

D5 versus mean baseline) and aMT6s: p<0.02 (n=5, D4 versus D-2). Significant

suppression of the temperature rhythm amplitude was observed over the forced phase-

shift (ANOVA, p<0.05) with clear disruption of the 24h profile on D1-3, Figure

8.2. No significant suppression of the aMT6s rhythm was evident on D4 compared

to baseline.

No significant deleterious effects on daily mean values were evident for any

mood or performance variables, Figures 8.6 and 8.7. However, the daily alertness

profiles were clearly disrupted on D0-3, Figure 8.4. More striking behavioural

disturbances were evident with subjective sleep measurements, over the initial few

days of the phase-shift, Figure 8.8. Significantly longer duration of night awakenings

and poorer sleep quality were evident (p < 0.01, nights 1-5 compared to baseline).

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Figure 8.5 Acrophases of aMT6s and temperature rhythms during a gradual 9h advance phase-shift

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and during a gradual 9h advance phase-shift (DO-5). A highly significant phase- advance was indicated by ANOVA (p<0.0001) for both temperature and aMT6s rhythms. Mean (+/-SEM) degree of shift: aMT6s = 9.16 +/- 1.22h (D4 from D-2),

temperature = 8.63 +/- 0.57h (D5 from mean baseline). Values represent mean +/- SEM (n=6 for temperature, n=5 for aMT6s).

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Figure 8.6 Adaptation of mood to a gradual 9h advance phase- shift

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Figure 8.7 Adaptation to a gradual 9h advance phase-shift : daily mean performance

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Figure 8.8 Adaptation of sleep to a gradual 9h advance phase-shift

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8.4.3 Adaptation to a rapid 9h delay phase-shift

After the subsequent rapid 9h delay shift of external time cues on day 6 no

significant disturbances in any mood or performance parameters were apparent,

Figures 8.9-8.12. Sleep latency was significantly reduced (p <0.005, nights 6-10)

compared to baseline. The alertness rhythm apparently reentrained by D7 (ANOVA:

no significant time of day by day of study interaction, compared to baseline, p>0.1),

Figure 8.9. The temperature rhythm reestablished a normal baseline pattern on D10

(5 days after the shift), Figure 8.13. Reentrainment was confirmed by ANOVA on

cosinor-derived acrophase estimates, Figure 8.14 (p>0.1, D 10 compared to

baseline). aMT6s acrophase estimates on the fifth day (D10) were significantly

earlier by 2.28 ± 0.49h (mean ± SEM) than baseline values. However, ANOVA

performed on the raw aMT6s data could not confirm a significant phase-advance on

D 10 compared to D-2, Figure 8.15.

The direction of the subjects natural entrainment of the body temperature

rhythm was to delay in at least 4 subjects, Figure 8.16.

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Figure 8.9 Alertness profiles during adaptation to a rapid 9h delay phase-shift

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represent mean (+ SEM, n=5) alertness rated every 2h during wakefulness.

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Figure 8.10 Adaptation of mood to a rapid 9h delay phase-shift

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significant deleterious effects on mood were evident (ANOVA). Values represent mean +/- SEM, n=5. T Blood sampling day.

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Figure 8.11 Adaptation to a rapid 9h delay phase-shift : daily mean performance

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Figure 8.12 Adaptation of sleep to a rapid 9h delay phase-shift

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Figure 8.13 Adaptation of the temperature rhythm to a rapid 9h delay phase-shift

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Adaptation of the circadian rhythm for core body temperature after a rapid 9h delay

phase shift (on day [D] 6) in a normal environment. Amplitude was significantly reduced on D6 and D7 compared to baseline (p<0.05). Bars show patterns of exposure to darkness (< 1 lux, ý ), natural ambient light (® ) and bright light (1200lux, =). Temperature was recorded continously every 6 minutes then averaged and plotted every hour as the mean of 6 subjects (+ SEM).

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Figure 8.14 Adaptation of aMT6s and temperature rhythms to a rapid delay phase-shift

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Figure 8.15 Adaptation of the urinary aMT6s rhythm five days after a rapid 9h delay phase-shift

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after a rapid 9h delay phase-shift, compared to baseline (D-2, Q ). Reentrainment of the aMT6s rhythm was indicated by repeated measures ANOVA (no significant time of day by day of study interaction, p>0.1). However, acrophase estimates showed that the rhythm was still approx. 2h phase-advanced on D10 compared to baseline (p<0.02, ANOVA, see Figure 8.14). Darkness from 2330-0730h (ý ). Values represent mean + SEM, n=5.

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Figure 5.16 Direction of reentrainment of individual masked temperature rhythms after a rapid 9h delay phase-shift

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8.5 DISCUSSION

8.5.1 Adaptation to a gradual 9h advance phase-shift

The light/dark treatment was chosen to advance the circadian system gradually

without causing desynchrony between circadian rhythms and the external time cues.

In the present study, using a 21h sleep/wake schedule over 3 days, with bedtime and

waketime 3h earlier each day, the morning light treatment was aimed to hit the phase-

advance portion of the phase-response curve each day (Czeisler et al, 1989; Minors

et al, 1991; van Cauter et al, 1994). The following 2 days (D4 and 5) restored a

normal 24h sleep/wake schedule with further light treatment to reinforce the 9h

advance shift. Normally a 21h day is beyond the range of natural entrainment (23-

27h) (Wever, 1979; Minors and Waterhouse, 1982). However, bright light (3000

lux) has been found to increase the range of entrainment (19-31h) of circadian

rhythms (Wever et al, 1983; Wever, 1989).

In the present study, the bright light and darkness/sleep schedule was effective

at inducing and maintaining a 9h advance phase-shift in the aMT6s and masked

temperature rhythms by the end of the shift. However, significantly increased sleep

disturbances and poorer sleep quality were evident over the first few days of the

gradual phase-shift. Daily profiles of subjective alertness and body temperature were

also adversely affected initially.

Sleep loss on the night of DO may have have been an important determinant

of behavioural disturbances on D1 (Carskadon and Dement, 1979,1981), however,

subjective sleep, mood and performance measures had apparently recovered and

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adapted by the end of the gradual advance phase-shift.

An advance phase-shift of 0.6-2.2h in the melatonin rhythm has been

demonstrated after exposure to a single pulse of bright light (3000 lux) between 0300-

0900h (Buresovä et al, 1991) and it is possible that the light treatment in this present

study was not of sufficient intensity or duration to promote the immediate adaptation

to the 21 h advancing sleep/wake schedule each day over 3 days. Gallo and Eastman

(1993) showed poor adaptation to a 22h `daylength' for 5 days during a gradual 10h

advance phase-shift, using bright light (2000-4000 lux) for 2h after waking. Indeed

much previous work underlines the difficulty in forcing the circadian system to phase-

advance. However, the present study shows that a three cycle advance of bright light

and darkness/sleep together with `reinforcement' days (D4-5) can induce large phase-

shifts in the circadian system with minimal disturbances in subjective sleep, mood and

performance by the end of the treatment. The relative effectiveness of this design

over that of Gallo and Eastman may be due to the greater duration of light exposure

and additional days to reinforce the shift. In addition, the gradual advance shift was

controlled using partial environmental isolation whereas Gallo and Eastman carried

out the study in field conditions in the presence of competing everyday 24h

zeitgebers.

8.5.2 Adaptation to a rapid 9h delay phase-shift

On day 6 the subjects returned to the normal environment and resumed their

baseline sleep/wake cycle. This rapid 9h delay phase-shift in local time cues can be

related to a westward bound transmeridian flight. Westward bound flights are usually

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day flights. A flight at 1130h from Paris to Los Angeles after a 12h flight over 9

time zones, would arrive in Los Angeles at 1430h local time or 2330h Paris time (LA

time 9h delayed with respect to Paris time). This schedule was simulated in the

present experiment where subjects ̀boarded the flight' at 0230h clock time on day 6

(or 1130h body time). `On arrival', having adopted the new local time schedules in

their normal environment, sleep was delayed by 9h. Thus sleep eventually occurred

at an abnormal circadian phase after an unusually long time awake. Yet subjective

sleep measures were not compromised. Sleep latency was significantly reduced,

probably as a result of prior sleep deprivation.

No significant deleterious effects on mood or performance measures were

evident. This is in marked contrast to the 9h rapid advance phase shift described in

Chapter 5, where behavioural patterns took at least 5 days to establish normal

baseline patterns.

The masked body temperature rhythm completely adjusted after 5 days (on

D 10) when the aMT6s rhythm was approximately 2h earlier than baseline values.

This is in striking contrast to the rapid 9h advance phase-shift (Chapter 5) where

urinary aMT6s and core body temperature (purified) rhythms were still M 6.5h and

4h phase-advanced by the 5th day, respectively. Reentrainment of individuals

temperature rhythm followed a phase-delay path in at least 4 subjects. Masking due

to the imposed shift in the sleep/wake/activity cycle clearly affected the temperature

rhythm in the remaining 2 subjects since a phase-shift of 10h or more, in either an

advance or delay direction, after one day was unlikely.

This present study underlines the preferred direction of reentrainment of the

circadian system and confirms previous findings from field studies that greater

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disruption of physiology and behaviour occurs after eastward (phase-advance shift)

rather than after westward flights (phase-delay shifts) (Aschoff et al, 1975; Klein and

Wegmann, 1980; Graeber et al, 1986; Gander et al, 1989). This experimental model

also provides an appropriate and inexpensive model to study adaptation mechanisms

of various biological parameters to rapid and large delay shifts in local time cues in

a normal environment.

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CHAPTER 9 ACUTE EFFECTS OF A SINGLE MELATONIN TREATMENT

ON CIRCADIAN PHASE, BODY TEMPERATURE AND

BEHAVIOUR

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Acute effects of a single melatonin treatment on circadian phase, body

temperature and behaviour

9.1 INTRODUCTION

Human circadian rhythms can become dissociated from one another and from

the environmental zeitgebers, for example after rapid time-zone travel and during

night shift work and this can lead to detrimental disturbances in human physiology

and behaviour (see Chapters 5 and 8). Alleviation of these problems is thought to

accompany faster adaptation of circadian rhythms and since several reports show that

the pineal hormone melatonin has both phase-advancing and phase-delaying properties

(Arendt et al, 1985a; Zaidan et al, 1994; Lewy et al, 1992; McArthur et al, 1991;

Sack et al, 1987), melatonin has been proposed as a treatment for circadian rhythm

disorders (Arendt et al, 1986; Lewy et al, 1992; Arendt, 1993,1994).

The mechanism through which melatonin may achieve this effect is unknown

but it may act directly on the biological clock to regulate the timing of the circadian

system. Putative melatonin receptors have been located in the human SCN (Reppert

et al, 1988), which is the major rhythm generating system of the hypothalamus

(Rusak and Zucker, 1979; Ralph et al, 1990), and in vitro melatonin, together with

its specific agonist S20098, can directly shift the rhythm of electrical activity in the

suprachiasmatic nucleus (McArthur et al, 1991, Mason et al, 1993). However, as

described in chapter 7,5mg melatonin significantly facilitated the adaptation of mood,

performance and sleep to a rapid 9h advance phase-shift within one day before

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significant reentrainment of the biological clock occurred (using the urinary aMT6s

rhythm as a phase marker). Therefore other mechanisms of melatonin action cannot

be ruled out.

Exogenous melatonin has acute effects on body temperature (Carman et al,

1976; Cagnacci et al, 1992; Dollins et al, 1993,1994) and sleepiness (Cramer et al,

1974; Vollrath et al, 1981; Arendt et al, 1984; Tzischinsky et al, 1992a; Dollins et

al, 1993,1994), which may prove to be important in the spectrum of therapeutic

effects.

In humans, melatonin has been used in repeated daily doses to achieve a

phase-shift (Arendt et al, 1985a; Lewy et al, 1992) and to facilitate readaptation after

time-zone transitions (Chapter 7). The acute phase-shifting effects of melatonin have

received little attention until recently when intravenous administration of melatonin

at physiological concentrations was found to have time-dependent phase-shifting

effects on the endogenous melatonin rhythm (Zaidan et al, 1994).

The present study investigates the relationship between the acute phase-shifting

effects of an oral 5mg dose of melatonin -a dose commonly used in the treatment of

circadian rhythm disorders - and its effects on core body temperature and behaviour

in a normal environment.

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9.2 SUBJECTS AND METHODS

9.2.1 Subjects

8 healthy males, aged 23-28 years (mean ± SD: 25.6 ± 1.8 years) continued

their normal daily activities during the study, except where specified, and refrained

from heavy exercise and alcohol consumption.

Using the Home and Österberg questionnaire to determine morning and

evening type individuals, 2 definite evening types (scores > 70) and 2 moderate

morning types were detected.

9.2.2 Study design

Melatonin (5mg) or placebo was administered to all subjects in a randomised,

double-blind, placebo-controlled, cross-over study. Both stages of the study began

on the same day of the week and were performed over 5 days (D1-5) with at least one

week separating the start of each stage. The volunteers maintained a regular

sleep/wake cycle, (bedtime at 2400h, awaken at 0800h, darkness between these times,

<1 lux), and natural environment (Winter, 52°N) throughout the experiment. From

dusk (approximately 1600h) until 2400h throughout the experiment, subjects remained

in dim artificial lighting (< 100 lux) and refrained from exposure to bright sunlight

at all other times, wearing sunglasses when outside (transmitting < 10 % of the light

intensity).

D1-2 served to establish a common sleep/wake cycle and accustom subjects

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to rectal thermometers. At 1700h on D3, subjects received either melatonin (5mg in

lactose-gelatin capsules) or placebo (vehicle), administered with water.

All subjects consumed the same standard meals at set times on D3-4.

9.2.3 Sampling and measurements

Rectal temperature was recorded continuously every 6 minutes from 0800h on

D2 to 0800h on D5. Saliva samples were collected at 30 minute intervals from 1600h

until 2330h on D3 and D4, for the determination of melatonin. See section 2.2 for

details of collection and storage of samples. Subjects remained seated throughout the

saliva sampling period, except for brief periods (< 5 minutes) if urination/defecation

was necessary.

Subjective alertness was rated on a visual analogue scale (VAS: " Very drowsy

"--º Very alert") every 30 minutes from 1600h bedtime on D3 and every hour from

0800h -º bedtime on D4. Daily sleep logs were kept detailing quality (VAS),

duration, latency and number and duration of night awakenings. Section 2.7

describes these subjective assessments in detail.

9.2.4 Hormone assay

Salivary melatonin was measured by Mrs Judie English (University of Surrey)

as described in section 2.3.3. The interassay coefficients of variation were 6.7%,

8.7%, 4.9% and 3.4% at 10.4,19.6,35.5 and 56.8 pg/ml. The minimum detection

limit of the assay was 0.95 ± 0.43 pg/ml (n =10, mean ± SD).

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9.3 STATISTICAL ANALYSIS

Differences in body temperature and alertness between melatonin and placebo

after 1700h on D3 were assessed by repeated measures ANOVA and area under the

curve (AUC) analysis followed by Student's paired t-test. The phase of the core body

temperature rhythm from 0800h on D4 to 0800h on D5 was determined by cosinor

analysis (section 2.8). The onset of melatonin secretion was determined one day after

treatment on D4 as the time after which two consecutive values exceeded 4 pg/ml.

Changes in melatonin were determined by repeated measures ANOVA. Any

relationship between the temperature suppression, exogenous salivary melatonin levels

and degree of phase-shift in melatonin onset time was assessed by Pearson's

correlation. Sleep quality was determined as a percentage of a baseline night (night

before treatment) and differences from placebo assessed by paired t-test.

9.4 RESULTS

The melatonin was unmeasurable in one subject due to food contamination.

This subject was therefore discarded from the analysis of salivary melatonin.

9.4.1 Acute effects of melatonin treatment (D3)

Salivary melatonin levels: Mean salivary melatonin concentrations are illustrated

in Figure 9.1. Salivary melatonin levels reached a maximum at 1730h in all subjects

(4291.71 ± 2823pg/ml, mean ± SD).

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Figure 9.1 Saliva concentrations of melatonin after ingestion of 5mg of melatonin taken orally in gelatin/lactose capsules

1 RE Ir OF 1P OF 95 10

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Time (hours)

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Mean (+/- SEM) saliva melatonin profiles for 7 subjects after administration of 5mg melatonin (0) or placebo (0) at 1700h.

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Figure 9.2 Acute effects of 5mg melatonin on body temperature and alertness

20 17: 00 19: 00 21: 00 23: 00 01: 00

tMeal

Time (hour)

Immediate and significant suppression of a) core body temperature (p=0.02) and b) subjective alertness (p=0.009) after administration of melatonin () at 1700h compared to placebo () (area under the curve analysis from 1700-2400h, followed by paired t-test). All values are mean +/- SEM, n=8.

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Temperature and alertness: Melatonin clearly induced a transient but significant

suppression of body temperature between 1700-2400h (p=0.02) with a concomitant

effect on subjective alertness (p=0.009), Figure 9.2. ANOVA identified a significant

treatment effect between 1812h and 2030h (p=0.046) with a mean (± SD) fall in

temperature of 0.26 ± 0.19°C. The minimum temperature achieved following

melatonin administration was observed at 1934h ± 49 minutes (mean ± SD).

9.4.2 Delayed effects of melatonin (one day after treatment, D4)

Melatonin onset: A significant time by treatment interaction was observed

(p<0.01), whereby melatonin advanced the melatonin onset time in saliva by 1.14

± 0.19h (p < 0.001), Figure 9.3.

Temperature: The observed minimum (nadir) of the body temperature rhythm

advanced with melatonin treatment compared to placebo, Figure 9.4. This was also

indicated using cosinor-derived acrophases over the period from 0800h on D4 to

0800h on D5, where the rhythm tended to advance by 0.83 ± 0.35h (p=0.053;

acrophase after placebo: 17.01 ± 1.25h, after melatonin: 16.18 ± 1.32h, mean t

SD).

Alertness: There were no significant differences in the phase of the rhythm or

daily mean values.

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Figure 9.3 Acute phase-shifting effects of 5mg melatonin treatment on the endogenous melatonin rhythm one day

after treatment

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Phase-advance in the salivary melatonin onset time after treatment at 1700h the previous evening with 5mg melatonin (p) or placebo ( ). A significant phase-advance was indicated by ANOVA for repeated measures (time by treatment interaction, p<0.008). Melatonin treatment advanced the onset time by 1.14 +/- 0.19h (mean +/- SEM), p<0.001, paired t-test. Values

represent mean +/- SEM, n=7.

I II --I 21: 00.23: 00

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Figure 9.4 Influence of melatonin on the body temperature nadir during the second night after late afternoon treatment

24: 00 02: 00 04: 00 06: 00 08: 00

Time (hours)

Mean (+/- SEM) core body temperature profiles for 8 subjects during the night following D4 after treatment with either 5mg melatonin (- ) or placebo (-) at 1700h on D3. A phase-advance and elevation of the temperature nadir was observed with melatonin treatment. Temperature was recorded continuously and plotted every 6 minutes.

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Figure 9.5 Effect of late afternoon melatonin treatment on sleep the following nights

180

160 ý-.

140

120 ý 100 z .ý 80

60

cz 40

20

0 First Second

Night following treatment

Subjective sleep quality on the first (N3) and second (N4) nights following 5mg melatonin (  ) or placebo treatment ( 0) treatment on D3 at 1700h. Melatonin

significantly improves subjective sleep quality over placebo on the first night after treatment (p=0.006) with a similar tendency on the second night (p=0.053) - paired t-test. Values are mean +/- SEM, n=8.

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Sleep: Sleep quality on the first night after melatonin treatment (N3) significantly

improved by 70 ± 18.4% (p<0.05) and also showed a tendency to improve (by 50

± 21.6%, p =0.053) on the night following D4, Figure 9.5. No significant effects

on other sleep parameters were evident.

9.4.3 Relationship between temperature suppression, exogenous melatonin

levels and degree of shift.

The degree of individual melatonin-induced temperature suppression (using

AUC analysis from 1700-2400h) was positively correlated to the degree of shift in

melatonin onset time in all but one subject (r=0.853, p=0.031), Figure 9.6. This

subject slept, periodically, for 3 hours after receiving melatonin treatment and showed

an exceptional fall in temperature (0.65°C) which was more than 2SD from the mean.

This was presumably due to masking by sleep. There was no significant correlation

between the individual maximum of exogenous melatonin concentrations and the

degree of temperature suppression.

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Figure 9.6 Relationship between individual degree of phase- shift and temperature suppression

2-

1.8-

1.6-

1.4-

1.2-

1

0.8-

0.6-

0.4-

0.2-

0 -0.5

r-0.853 p=0.031

 

 

 

 

0 0.5 1 1.5 2 2.5 3 3.5 4

Temperature suppression (° Cx minutes, AUC from 1700-2400h)

Relationship between the individual degree of phase shift in the salivary melatonin (MT) onset time (on D4) and the magnitude of temperature suppression (from AUC analysis from 1700-2400h on D3)

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9.5 DISCUSSION

In a normal environment a single 5mg melatonin treatment phase-advanced its

own endogenous rhythm 24h after treatment, with a similar effect in core body

temperature. Repeated doses of oral melatonin are therefore not necessary to see an

effect on the human biological clock. Recently, the acute phase-shifting effects of

intravenous administration of physiological levels of melatonin have been described

(Zaidan et al, 1994). The observation that a phase-shift in the endogenous melatonin

rhythm was still apparent 24h after treatment and after exogenous melatonin had

cleared, indicates that a single pulse of melatonin has a prolonged effect on the phase-

adjustment of the clock. This resetting of the biological clock is comparable to the

work of McArthur et al (1991) who demonstrated, in vitro, that a shift in the rhythm

of electrical activity of the SCN could still be seen for at least 24h after melatonin

treatment.

In the present study, the induced phase-shift in the salivary melatonin onset

was preceded by the immediate suppression of core-body temperature and subjective

alertness. The timing of the fall in temperature and alertness correspond closely to

the reported increae in sleep propensity after 5mg melatonin given in the late

afternoon (Tzischinsksy et al, 1992a).

Immediate increases in drowsiness and deleterious effects on performance have

recently been observed after oral ingestion of low doses of melatonin in the morning

(0.1-10mg at 1145h, Dollins et al, 1994). In the present study, transient sleepiness,

and in one case periodic sleep, during the late afternoon and early evening did not

compromise sleep during the subsequent night. In addition, no deleterious effects on

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alertness were observed the following day. Considering the short half-life of

melatonin (Aldhous et al, 1985) and the transient nature of its acute drowsiness and

temperature-lowering effects, these sedative-like qualities could not account for the

delayed effects on sleep quality during the subsequent nights. An effect on the timing

of sleep onset/offset was unlikely to be seen since these times were fixed. However,

an effect of melatonin on the timing mechanisms of sleep cannot be ruled out, in

addition to any transient sedative ability. Administration of 5mg melatonin at midday

can delay the so-called nocturnal "sleep gate" where the sleep propensity normally

rises steeply around 2300h (Tzischinsky et al, 1992a). This delayed effect is in

addition to an increase in sleep propensity shortly after administration. In this present

study, melatonin may have indirectly affected sleep quality by synchronising the

endogenous sleep/wake rhythm to the imposed sleep/wake schedule and environmental

zeitgebers, i. e. strengthening the phase relationship between them.

The individual magnitude of melatonin-induced temperature suppression

correlated highly with the degree of phase-shift in the melatonin onset time in saliva,

such that the greater the suppression the larger the induced phase-shift. Cagnacci et

al (1993) and Strassman et al (1991) have provided evidence that melatonin

counteracts the stimulatory effect of bright light on body temperature at night. In

view of the present results, it is possible that the phase-shifting effects of melatonin

and bright light may be related to their ability to acutely change core body

temperature in humans. The next chapter follows on from this preliminary study to

investigate in detail the dose-relationship of melatonin between the acute phase-

shifting properties and its immediate effect on temperature and behaviour.

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CHAPTER 10

DOSE-RESPONSE EFFECTS OF MELATONIN ON

CIRCADIAN PHASE, BEHAVIOUR AND TEMPERATURE

SUPPRESSION

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Dose-response effects of melatonin on circadian phase, behaviour and temperature suppression

10.1 INTRODUCTION

In humans, melatonin has phase-shifting effects on the internal biological clock

(Arendt et at, 1985a; Lewy et at, 1992; Zaidan et at, 1994) which are preceded by

acute effects on temperature and behaviour (see Chapter 9; Deacon et at, 1994).

Melatonin has acute temperature lowering properties (Carman et at, 1976; Cagnacci

et at, 1992; Dollins et at, 1993,1994, Deacon et at, 1994; Chapter 9) and the

stimulatory effects of bright light on temperature are mediated through the

suppression of melatonin (Cagnacci et at, 1993; Strassman et at, 1991). Melatonin

also has acute transient sleep-inducing effects (Vollrath et at, 1981; Arendt et at,

1984; Dollins et at, 1993,1994) and time-dependent effects on the sleep propensity

function (Tzischinsky et at, 1992a).

It is possible that there is a direct relationship between the acute effects of

melatonin and its ability to induce phase-shifts in the biological clock.

In the previous chapter, the degree of individual phase-shift in the endogenous

melatonin rhythm after 5mg of oral melatonin at 1700h was shown to relate to the

magnitude of temperature suppression. The present study was designed to investigate

the dose-response relationship between acute effects of oral melatonin on temperature,

sleep, mood and performance and the subsequent phase-shift in core body temperature

and melatonin rhythms. It will also help determine the optimal doses of melatonin

required to treat circadian rhythm disorders.

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10.2 SUBJECTS AND METHODS

10.2.1 Subjects

6 healthy volunteers (3M: 3F), aged 23-34 years (27.2 ± 3.7 years, mean ±

SD), under no medication and all non-smokers were recruited from research students

and staff of the University of Surrey. They followed similar sleep/wake schedules

and lifestyles. No definite morning or evening types were detected (scores > 70 or

< 31) using the Home and Östberg questionnaire (1976). However, one subject

tended to be a morning type (score of 63) and two were rather of the evening type

(scores of 41 and 42).

Except where specified, subjects continued their normal daily activities during

the experimental period but refrained from heavy exercise and alcohol consumption.

Female subjects were screened to check the stage and regularity of their menstrual

cycles.

10.2.2 Preparation of melatonin/placebo

300mg melatonin was dissolved in 30 ml absolute ethanol to give 10mg/ml.

This solution was then diluted as follows:

1) 5mls diluted to 50m1 with corn oil to give lmg/ml

2) 5mls of 0. ing/ml diluted to 50m1 with corn oil plus 10% absolute ethanol to give

0.1mg/ml

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3) 5mls of 0.1 mg/ml diluted to 50m1 with corn oil plus 10 % absolute ethanol to give

0.01mg/ml.

Each dose was 5mls of the above to give 5mg, 0.5mg and 0.05mg melatonin.

Placebo consisted of the equivalent amount of corn oil with 10% absolute ethanol.

The melatonin or placebo dose in corn oil was suspended by thorough mixing in 50m1

semi-skimmed milk before administration.

10.2.3 Study design

Melatonin (0.05mg, 0.5mg, 5mg) or placebo was administered to all subjects

in a randomised, double-blind cross-over study. The 4 stage study was divided into

two periods and took place during the first 11 days of February and March 1994 at

52° N. The study was designed such that the female subjects began each period of

the study 1 to 2 days into the follicular phase of their menstrual cycle, to minimise

any possible influence of the menstrual cycle on circadian temperature and melatonin

rhythm parameters (Nakayama et al, 1992; Wetterberg et al, 1976). Each stage

began on the same day of the week and was performed over 5 days (D1-5) with 1

week separating the start of each stage in each period.

Subjects were required to maintain a regular sleep/wake cycle, retiring to bed

between 2330-2400h and rising between 0730-0800h. They remained in darkness

(< 1 lux) between 2400-0800h. From dusk (approximately 1800h) until 2400h they

remained in dim artificial lighting (<50 lux) throughout the experiment. Subjects

were asked to avoid exposure to bright sunlight throughout the study and wore

sunglasses when outside.

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Days (D)1-2 served to establish a common sleep/wake (and light/dark) cycle,

accustom the subjects to rectal thermometers and practice performance tasks every 2h.

On D3, after fasting for 4h, subjects received either a single dose of melatonin

(0.05mg, 0.5mg or 5mg) or placebo at 1700h and remained seated throughout the

evening.

On D4 subjects remained sedentary, by watching TV or reading/writing to

minimise the influence of activity on temperature. The volunteers received the same

standard breakfast, lunch and evening meals at set times on D3 (0900h, 1300h and

2130h) and D4 (0900h, 1300h and 1900h). The meal was later on D3 to allow 6.5h

for the acute effects of melatonin on body physiology and behaviour to be measured

"unmasked" in the absence of meals.

10.2.4 Sampling

Rectal temperature was recorded every 6 minutes from 0800h on D2 until

0800h on D5.

An indwelling cannula was inserted into the forearm of each subject, under

local anaesthetic, between 1600-1645h on D3 and 1700-1745h on D4. Blood samples

(5m1) were obtained every 30 minutes from 1700-2300h on D3 and from 1800-2330h

on D4. A total of 510 ml of blood was removed from each person over the whole

experiment.

Subjects remained seated for at least 30 minutes before blood sampling

commenced on D3 and D4 and remained seated throughout the entire sampling

period, except for brief periods (<5 minutes) for urination/defecation if necessary,

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immediately after blood sampling. This was necessary to control for postural effects

on melatonin concentrations (see Chapter 3). Sampling times differed on D3 and D4

to minimise blood sampling but to provide a sufficient number of sample points to 1)

obtain an adequate profile of exogenous melatonin in plasma on D3 and 2) determine

the melatonin onset time on D4.

10.2.5 Behavioural measurements

Daily sleep logs were recorded on waking in order to estimate sleep onset,

offset, latency and the number and duration of night awakenings. Sleep quality was

rated on a visual analogue scale (VAS; Best ever -a--º Worst ever). Subjective

alertness was also rated on a VAS (Drowsy *--> Alert) every 30 minutes from 1700-

2400h on D3, every hour from 0800-2400h on D4 and at 0800h on D5.

Performance tests in the form of 1- and 5-target search and memory tasks

(SAM-1 and SAM-5, respectively) were carried out every hour from 1700-2400h on

D3, every 2 hours from 0800-2400h on D4 and on waking at 0800h on D5. On D1-

2, subjects practised the tests regularly, approximately every 2/3h.

It was necessary to measure mood and performance as frequently as possible

after melatonin/placebo administration on D3 to assess acute transient effects of

treatment, but without overwhelming the subjects and compromising subsequent

behavioural measurements. To enable subjects to continue as normal a routine as

possible on D4 and to prevent performance `boredom', the interval between

performance tests and alertness ratings was doubled.

Section 2.7 describes these behavioural measurements in detail.

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10.2.6 Melatonin assay

Plasma melatonin was measured as described in section 2.3.2. The interassay

coefficients of variation were 8.5,7 and 6.2% at 33.3,64 and 228 pg/ml (n=10).

The minimum level of detection (defined as the concentration at 2SD from the mean

at maximum binding) was 4.8 ± 0.43 pg/ml (mean ± SEM).

10.3 STATISTICAL ANALYSIS

The performance parameters accuracy, response time and efficiency were

defined as the percentage of correct responses, time taken to complete the task and

accuracy/response time, respectively. Response time data were normalised by square

root determination.

Comparisons were made between treatments for acute effects on D3 and for

delayed effects on D4.

Acute effects of melatonin on D3

Core body temperature, plasma melatonin, alertness and performance were

expressed as area under the curve (AUC) from 1700-2400h (timed to encompass the

whole acute effect of treatment). Alertness and performance data were calculated as

a percentage difference from the value at 1700h for each individual. Grouped

differences were then assessed by one-way ANOVA and Duncan's multiple range

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post-hoc test.

Delayed effects of melatonin (one day after treatment, D4-5)

Plasma melatonin was analysed by two-factor ANOVA for repeated measures

(factors: time and treatment) followed by Duncan's multiple range test to identify

specific differences between treatments. The onset of plasma melatonin secretion in

plasma was defined as the time when plasma concentrations exceeded twice the

minimum detection limit of the assay, when two consecutive values exceeded this

amount.

Alertness and performance data were calculated for each individual at each

time point as a percentage difference from the daily mean (D4). Daily means of

percentage differences for each individual were then determined. All sleep data were

calculated as a difference from the baseline night (N2, i. e. the night of D2). Group

differences for all sleep parameters and performance and alertness daily means were

analysed by one-way ANOVA followed by Duncan's multiple post-hoc test.

The phases of the core body temperature, alertness and performance rhythms

were determined by cosinor analysis (0800h on D4 to 0800h on D5, section 2.8) and

assessed for treatment differences by one-way ANOVA and Duncan's multiple range

test.

The shift in the temperature nadir during the night following D4 (0200-0800h)

was assessed by repeated measures ANOVA (factors: time and treatment).

Pearson's correlation was used to determine any relationship between

temperature suppression, exogenous plasma melatonin levels and the degree of phase-

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shift in the temperature and melatonin rhythms.

10.4 RESULTS

10.4.1 Acute effects of melatonin treatment (D3)

Plasma melatonin levels: Mean plasma melatonin concentrations are illustrated in

Figure 10.1. Plasma melatonin levels significantly increased with increasing doses

of melatonin treatment (p<0.001) and in a linear fashion (r=0.72, p<0.0001). A

maximum (mean ± SEM), which was significantly different from 1700h for all

doses, (p<0.02) was reached at 1730h for 0.05 mg (118 ± 37 pg/ml) and 5 mg

melatonin (18495 ± 3326 pg/ml) and at 1800h for 0.5mg melatonin (1327 ± 491

pg/ml). Normal nocturnal levels of melatonin (< 200pg/ml) were achieved 3.16 ±

0.30h (mean ± SEM) after 0.5 mg melatonin. Only two subjects showed

physiological concentrations before the last blood sample at 2300h after 5mg

melatonin.

Temperature: Melatonin clearly induced an acute, transient, but significant

suppression of core body temperature which was dependent upon the dose given

(p <0.001), Figure 10.2.0.5mg and 5mg melatonin were significantly more effective

than 0.05mg melatonin and placebo (p<0.01). Mean ± SEM fall in temperature

(from 1700-2400h) was: 0.02 ± 0.02°C, 0.1 ± 0.01°C and 0.14 ± 0.02°C for

0.05mg, 0.5mg and 5mg melatonin, respectively, compared to placebo. The times

of the temperature minima were not significantly different from each other (p > 0.1):

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0.05mg = 19: 16 ± 12 minutes, 0.5mg = 19: 14 ±4 minutes and 5mg = 19: 30 ±

10 minutes. The maximum suppression compared to placebo was: 0.05mg = 0.18

± 0.03°C, 0.5mg = 0.3 ± 0.03°C and 5mg = 0.35 ± 0.02°C, (mean ± SEM).

Alertness: Subjective alertness decreased with increasing doses of melatonin

(p<0.001), Figure 10.3.0.5mg and 5mg melatonin treatments were significantly

more effective at reducing alertness than 0.05mg melatonin and placebo treatments

(p < 0.05), Table 10.1.

Performance: SAM-5 accuracy and efficiency (Figures 10.4 and 10.5) decreased with

increasing doses of melatonin (p<0.01 and p<0.001, respectively), with a trend

towards slower response times (Table 10.1). 5mg melatonin treatment was

significantly more deleterious than all other treatments (p<0.05), Table 10.1. No

significant treatment effects were observed on SAM-1 performance parameters

(Figures 10.4 and 10.5 and Table 10.1).

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Figure 10.1 Plasma concentrations of melatonin after ingestion of low doses of melatonin taken orally in corn oil.

100000

10000 1

1000 1

100,

101

1 I I I IIII 17100 18 1990 20 2200 22 223D0

Time (hours)

Mean (+/- SEM) plasma melatonin profiles for 6 subjects after administration of 5mg (0), 0.5mg (f), 0.05mg (p) of melatonin or placebo ( ) at 1700h on D3.

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Figure 10.2 Acute dose-dependent suppression of body temperature by melatonin

37.4

37.3

37.2

37.1

37

36.9

36.8

16: 00 t 18: 00 36.7 -1--T---1

20: 00 2: 00 24: 00

Meal Melatonin administration

Time (hours)

Mean core body temperature for 6 subjects after an oral dose of placebo (  ), 0.05mg (0), 0.5mg (f), 5mg (Q) melatonin at 1700h (recorded every 6 minutes, plotted every 12 minutes for clarity). The higher the dose the greater the suppression (ANOVA: p<0.001, using the difference from placebo after AUC analysis from 1700-2400h).

Average SEM = +/- 0.090C.

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Figure 10.3 Dose-dependent decrease in subjective alertness immediately after melatonin treatment

105-

ý .c O ° 95 . -ý

85-

7 75-

65 ý

55 IIIIIII

16: 00 * 18: 00 20: 00 22: 00 24: 00 1ºdel.,

Ilý.. w...

ý

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»rný Melatonin Meal I uiiv, `11vU1 CO)

administration

Subjective alertness ratings after an oral dose of placebo ( ), 0.05mg (0 ), 0.5mg (A ), 5mg (0) melatonin at 1700h. Alertness decreased with increasing doses of melatonin (ANOVA: p<0.001, after AUC analysis from 1700-2400h). 0.5mg and 5mg were significantly more deleterious than 0.05mg and placebo (p<0.05, Duncan's multiple range test). Values represent mean +/- SEM (n=6).

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Table 10.1 Acute effects of melatonin treatment (D3)

Effects of low oral doses on alertness and performance, mean (SEM), % difference from

placebo with AUC analysis (1700-2400h).

Performance

Alertness

0.05mg

-7.0 (4.0)a, b

SAM-5 Accuracy -4.7 (9.6)al

SAM-5 Response Time* +0.9 (4.0)al

SAM-5 Efficiency -3.1 (8.6)

SAM-1 Accuracy -1.5 (8.0)

SAM-1 Response Time* -2.2 (2.9)

SAM-1 Efficiency +0.5 (7.4)

0.5mg

-18.0 (. 03)a

-13.4(6.3)b

+ 2.7 (2.8)bl

-15.9 (6.1)

-5.7 (8.5)

+0.7(2.3)

-6.1 (9)

5mg

-21.0 (3.0)b

-31.6 (6.7)ß1, b

+ 2.1(301, b1

-34.2 (6.9)

-9.5 (3.3)

+3.4(2.4)

-13.5 (2.1)

* "+" indicates slower response time, "-" faster response time

Melatonin doses with the same letters represent significant differences between

treatments (Duncan's multiple range test): a and b: p<0.05, al and bl: p<0.01,

Melatonin

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Figure 10.4 Acute dose-dependent effects of melatonin on performance accuracy

130-1

120 -a

110-

100ý

90 -a

80-I

70

160-1

140 -

120-

100-I

80 -

60-1

40

17: 00 19: 00 21: 00 23: 00

b)

17: 00 19: 00 21: 00 23: 00

Time (hour) tMeal

Accuracy scores for a) low- (SAM-1) and b) high- (SAM-5) memory capacity tests, after oral administration of either placebo ( ), 0.05mg melatonin (MT) (0), 0.5mg MT(A) or 5mg MT (O)at 1700h. Significant treatment effect for SAM-5 only (ANOVA: p<0.01 after AUC analysis 1700-2400h): accuracy scores after 5mg melatonin were significantly worse than all other treatments. Values

represent mean +/- SEM, n=6.

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Figure 10.5 Acute dose-dependent effects of melatonin on performance efficiency

120

110-

100-

90-

80 -ý

70 f- 17: 00 19: 00

17: 00 19: 00 21: 00 23: 00

Time (hour) tMeal

I 21: 00

I -Tý 23: 00

I

Efficiency scores for a) low- (SAM-1) and b) high- (SAM-5) memory capacity tests, after oral administration of either placebo (  ), 0.05mg melatonin (MT) (0 ), 0.5mg MT (f) or 5mg MT (Q) at 1700h. Significant treatment effect for SAM-5 only (ANOVA: p<0.001 after AUC analysis 1700-2400h): efficiency scores after 5mg melatonin were significantly worse than all other treatments. Values represent mean +/- SEM, n=6.

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10.4.2 Delayed effects of melatonin treatment (one day after

treatment, D4)

Melatonin onset: A significant time by treatment effect (p < 0.0001) was seen, where

increasing doses of melatonin advanced the plasma melatonin onset time relative to

placebo by 0.36 ± 0.13h, 0.69 ± 0.15h and 1.43 ± 0.16h (mean ± SEM) for

0.05mg, 0.5mg and 5mg melatonin, respectively, Figure 10.6. The 5mg melatonin

treatment significantly (p<0.05) advanced the onset time more than all other

treatments.

Temperature: There was a clear and dose-dependent phase-advance in the nadir of the

temperature rhythm during the night following D4 (ANOVA for repeated measures,

p<0.02, Figure 10.7). This was also evident by cosinor analysis over the period on

D4 to D5 (0800h on D4 to 0800h on D5). A significantly greater advance phase-shift

was seen with increasing doses of melatonin using differences in acrophase from

placebo (p<0.0001). The rhythm advanced further (p<0.01) with 0.5mg and 5mg

melatonin treatments compared to 0.05mg, and 0.5mg treatment compared to 5mg

melatonin (p<0.05), Table 10.2.

Alertness: There was no significant treatment effect on the phase of the alertness

rhythm or on daily mean values one day after treatment. However, there was a trend

for melatonin to advance the rhythm with increasing doses compared to placebo

(p=0.067), Figure 10.8, Table 10.2.

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Performance: No significant performance rhythm could be established (cosinor

analysis) and no treatment effect on daily mean values was seen.

Sleep: Figure 10.9 shows the effect of low doses of oral melatonin on various sleep

parameters on the night following treatment (D3). On the first night only, a

significant treatment effect was seen with an increase in sleep quality

(p < 0.05), a decrease in the duration of night awakenings (p < 0.05) and an earlier

sleep onset time (p <0.01), Table 10.2. The 5mg treatment proved more effective

than all other treatments (p<0.05). The quality of sleep improved by = 30%, 43%

and 61 % for 0.05mg, 0.5mg and 5mg melatonin treatment respectively, compared to

placebo. On the second night (night following D4), there were no significant

differences between groups in any sleep parameter.

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Figure 10.6 Dose-response relationship between oral melatonin and degree of induced phase-shift in melatonin rhythm one day after

treatment

01- 1800

IIII 1 ý-1 1900 2000 2100 2200 2300 2400

Time (hour)

Phase-advance in plasma melatonin onset time after treatment at 1700h the previous evening with 5mg (0 ), 0.5mg (f), 0.05mg (0) melatonin or placebo ( ). A significant dose-response phase-shifting effect identified by ANOVA (for repeated measures, time by treatment interaction: p<0.0001). Melatonin treatment advanced the onset time by 0.36 +/- 0.13h, 0.69 +/- 0.15h and 1.43 +/- 0.16h (mean +/- SEM) for 0.05mg, 0.5mg and 5mg melatonin, respectively. Values represent mean +/- SEM, n=6.

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Figure 10.7 Dose-dependent phase-advance in the temperature nadir during the second night after melatonin treatment

36.37 02: 00 03: 00 04: 00 05: 00 06: 00 07: 00 08: 00

Time (hours)

Mean core body temperature profiles for 6 subjects during the night following D4 (from 0200h to 0800h) - one day after treatment with either placebo (  ), 0.05mg

melatonin (MT) (0), 0.5mg MT (f) or 5mg MT (Q) treatment. Rectal temperature was recorded every 6 minutes, averaged and plotted every 30 minutes for clarity. There was a dose-dependent phase-advance in the nadir of the rhythm (ANOVA for repeated measures: time by treatment interaction, p<0.02). This was confirmed by cosinor analysis (from 0800h on D4 to 0800h on D5, ANOVA: p<0.0001). Mean (+/- SEM) difference in phase-shift from placebo: 0.05mg melatonin (MT) _ -0.27 +/- 0.16h, 0.5mg MT = 0.48 +/- 0.12h and 5mg MT = 1.0 +/- 0.09h.

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Figure 10.8 Delayed effects of low oral doses of melatonin on the alertness rhythm one day after treatment

130 -1

120-

ý-.

ý V E ý

ý . r, ý 'd

110

100 1 '011 ý

N N

90 -

80

704

60 08: 00 12: 00 16: 00 20: 00 24: 00 Time (hours)

Mean subjective alertness ratings (calculated as a% of individuals daily mean) for 6 subjects on D4, one day after treatment (at 1700h, on D3) with either placebo (-- ), 0.05mg melatonin (MT) (.... ), 0.5mg MT () or 5mg MT (_ ). * p<0.05: significant treatment effect seen at 1000h (ANOVA),

where placebo had significantly (p<0.05) lower ratings than 0.5mg and 5mg melatonin treatment. Using cosinor-derived acrophases, there was a trend for the rhythm to phase-advance (ANOVA: p=0.07). Mean (+/- SEM) difference in phase from placebo was an advance shift of 0.37 +/- 0.31h with 0.05mg MT, 0.97 +/- 0.35h with 0.5mg MT and 1.6 +/- 0.3h with 5mg MT.

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Table 10.2 Delayed effects of melatonin treatment (D4, one day after treatment)

Effect of low oral doses of melatonin on the magnitude of temperature suppression

(%) and degree of advance phase-shift (hours) in the rhythms of body temperature,

melatonin, alertness and sleep. Mean (SEM), difference from placebo.

Parameter Melatonin

Temperature

suppression (%)

0.05mg 0.5mg 5mg

1.64 (1.23)a, b 7.32 (0.96)a 10.2 (1.59)b

Shift (h) in:

Body Temperature -0.27(0.16)a, bl 0.48 (0.12)a, c 1.0 (0.09)b1, c

Plasma melatonin

onset time 0.36(0.13)a1 0.69 (0.15)b1 1.43(0.16)11, b1

Alertness 0.37 (0.31) 1.07 (0.43) 1.6 (0.3)

Sleep onset 0.28 (0.08)a. b 0.35 (0.1)a 0.59 (0.14)b

Sleep offset 0.32 (0.2) 0.39 (0.16) 0.49 (0.18)

Melatonin doses with the same letters represent significant differences between treatments

(Duncan's multiple range test): a, b and c: p<0.05, al and bl: p<0.0 1,

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Figure 10.9 Dose-dependent effects on sleep on the first night following melatonin treatment

24.8

24.6

24.4

24.2

24

23.8

23.6

a) Sleep Onset

c) Duration of Night Awakenings

25 VJ

ý u

. ý--ý

cd ýc ý O

15

-15

t) C

.ý ý aý ý cd

-0 0

b) Sleep Offset

d) Sleep Quality

150 r 130

110

90

70

50

Subjective sleep measurements for the first night following late afternoon treatment with placebo (0), 0.05mg ( ), 0.5mg (Q), 5mg (M ) melatonin. There were significant treatment effects for advancing sleep onset (p<0.01), improving sleep quality (p<0.05) and reducing the duration of night awakenings (p<0.05), where the 5mg treatment was significantly more effective than all other treatments, ANOVA. Values represent mean +/- SEM, n=6.

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10.4.3 Relationship between individual degree of phase-shift and

magnitude of temperature suppression

Table 10.2 shows the mean magnitude of temperature suppression and the degree

of shift in the temperature, melatonin, alertness and sleep rhythms.

A highly significant correlation existed between the individual magnitude of

temperature suppression and both the degree of phase-shift in the plasma melatonin onset

time (r=0.77, p<0.0005) and the temperature rhythm (r=0.549, p<0.05), Figure

10.10, but not the alertness rhythm. The magnitude of the phase-shift of the temperature

and melatonin rhythms also correlated closely (r=0.699, p<0.001).

10.4.4 Relationship between individual exogenous plasma melatonin

levels, temperature suppression and degree of phase-shift

Individual exogenous melatonin concentrations in plasma on D3, as assessed by

AUC, correlated with the magnitude of temperature suppression (r=0.468, p <0.05) and

the degree of phase-shift in the melatonin rhythm (r=0.782, p<0.0002), but not the

degree of phase-shift in the body temperature rhythm (r=0.462, p=0.053).

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Figure 10.10 Relationship between individual degree of phase- shift and temperature suppression

a) i.

r-0.77 p<0.0002

 

-1-I iIIii

-4 048 12 16

a) ii.

r-0.55 p<0.02

-0.5 1 is

-4 04 8 12 16

Temperature suppression ( 0C

x minutes, AUC from 1700-2400h, difference from placebo)

 

 

-0.5

I  i ti I

0 0.5 1 1.5 Shift in temperature rhythm

(hours, difference from placebo)

a) Relationship between the individual magnitude of melatonin-induced temperature suppression and the shift in i) plasma melatonin onset time, ii) body temperature rhythm. b) Relationship between the individual degree of melatonin-induced phase- shift in the temperature rhythm and plasma melatonin onset time.

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10.5 DISCUSSION

The previous chapter describes how the individual degree of phase-shift in the

endogenous melatonin rhythm relates to the magnitude of temperature suppression. The

present study confirms this finding, where greater temperature suppression was associated

with a larger phase-shift. In addition, a dose-response relationship between the dose of

oral melatonin, temperature suppression and phase-shift in the endogenous melatonin

rhythm has been established. With increasing doses of melatonin a greater magnitude of

temperature suppression and degree of phase-shift in the endogenous melatonin rhythm

was achieved. The rhythm of core body temperature shifted in a similar fashion and

correlated with the shift in the endogenous melatonin rhythm, but the relationship was

less marked. Body temperature is more susceptible to masking by exogenous influences

such as meals, activity and sleep (Wever, 1985b; Minors and Waterhouse, 1989) than the

melatonin rhythm (Lewy, 1983). The design of the study controlled for the two major

masking influences on melatonin, light and posture (Lewy et at, 1980; Deacon et at,

1994). Although the subjects ambient lighting and activity were strictly controlled during

the evening of D3 and throughout D4, some masking of the temperature rhythm was still

possible.

There is considerable support for a thermoregulatory role for melatonin

(Strassman et at, 1991; Cagnacci et at, 1992,1993; Badia et at, 1993). The peak of

melatonin secretion at night corresponds closely to the nadir in body temperature and

Cagnacci et at (1992) have suggested that about 40% of the diurnal variation in core body

temperature may be the direct consequence of the acute effects of endogenous melatonin.

Whether or not these phenomena are representative of physiological mechanisms is a

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question of interest. In the present study and in previous work (Chapter 9, Deacon et al,

1994), the time of maximum suppression of body temperature occurred approximately

2h after the observed peak in (physiological and pharmacological) levels of exogenous

melatonin. This 2h lag is consistent with the relationship between the endogenous

melatonin and body temperature rhythms before and after a forced phase-shift with bright

light (Shanahan and Czeisler, 1991). Both melatonin and body temperature shifted in a

similar direction and magnitude with the melatonin fitted maximum preceding the

temperature minimum by nearly 2h. These changes were observed in constant routine

conditions, i. e. in the absence of external time cues with either constant, or no disturbing

(masking) influences. Furthermore, a recent study has demonstrated that the core body

temperature rhythm is exactly inverse to the urinary aMT6s rhythm under similar

constant routine conditions (Kräuchi and Wirz-Justice, 1994). Considering the time taken

for hepatic metabolism and renal excretion, the urinary aMT6s rhythm will be delayed

by m 1-1.5h compared to the melatonin rhythm in plasma (Matthews et al, 1991; Deacon

and Arendt, 1994). However, this time lag between the melatonin rise and temperature

fall is not apparent in some situations. Wehr et al (1993) demonstrated, under constant

routine conditions, a phase dissociation between the melatonin and temperature rhythms

with the body temperature rhythm declining before the rise of the melatonin rhythm when

subjects were transferred to a winter from a summer photoperiod. Taken together, these

results suggest that the primary effect of endogenous melatonin may not be direct

suppression of the nighttime fall in body temperature but is more probably an indirect

role in regulating the timing and amplitude of body temperature.

The exact mechanism and site of action by which melatonin influences body

temperature is unknown. It is possible that melatonin acts centrally in the preoptic area

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and anterior hypothalamus - the main thermoregulatory centres (Hellon, 1972; Hensel,

1973; Satinoff, 1978) - and/or peripherally to adjust heat loss. In rats, a major site of

heat loss occurs in the brain arteries of the circle of Willis and tail arteries where high

affinity melatonin receptors have been located (Viswanathan et al, 1990; Seltzer et al,

1992). A low level of specific melatonin binding has been reported in the preoptic area

of the hypothalamus in rodents (Williams et al, 1989). In addition, high affinity

melatonin binding sites have been found in other areas of the mammalian hypothalamus

including the SCN and paraventricular nucleus (PVN) (review: Stankov et al, 1993; see

section 1.2.11). Direct and indirect neural and anatomical associations between these

sites and the preoptic area have been described (review: Watts et al, 1991; see section

1.2.11), and suggest possible pathways through which melatonin (and the SCN) may

modulate the rhythmicity of body temperature.

The plasma melatonin concentrations achieved with different doses varied from

normal nocturnal night time levels with 0.05mg to 2 orders of magnitude higher than

physiological concentrations with 5mg. There was a log-linear relationship between

plasma melatonin levels and the degree of phase-shift in the endogenous melatonin

rhythm. In addition, the magnitude of temperature suppression related to plasma

melatonin levels, although the results were less striking. There was also a trend towards

a relationship between the degree of phase-shift in the core body temperature rhythm and

plasma melatonin levels. The range and direction of shift observed in plasma melatonin

onset was comparable to that obtained by Zaidan et al (1994) with a single physiological

melatonin infusion from 16: 00-19: 00h (shift in onset time = 21 ± 50 minutes, mean f

SD) and Lewy et al (1992) after 4 days with 0.5mg/day (shift in onset time " 1h).

The acute sedative-like effects of melatonin have been known for many years

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(Cramer et al, 1974; Vollrath et al, 1981). Recently, Dollins et at (1994) have reported

an increase in sleepiness and deleterious effects on performance after administration of

0. lmg and 0.3mg melatonin at 1145h when volunteers were tested in a controlled

environment from 0930-1730h and suggested that endogenous melatonin may be a direct

factor in sleep-inducing mechanisms. The present study, also in a controlled

environment, showed a dose-dependent significant decrease in alertness and SAM-5

efficiency only with 0.5mg and 5mg melatonin but not with 0.05mg. The latter was the

only dose to achieve normal physiological concentrations and argues against a

physiological sleep-inducing role for melatonin. Rather, as discussed previously (Arendt

et al, 1984; Tzischinsky et al, 1992a), the results could be interpreted on the basis that

melatonin influences the timing mechanisms of sleep and wakefulness. The fact that the

night's sleep immediately following melatonin treatment was markedly enhanced, in a

dose-dependent manner compared to placebo, with an earlier sleep onset and a trend

towards earlier sleep offset also supports this contention. There was also a trend for the

self-rated alertness rhythm to shift to an earlier time the following day. Even without

taking into account the sleep ̀inertia' which influences alertness during the first hour or

two after waking (Folkard and Akerstedt, 1989; Akerstedt and Folkard, 1990; Dijk et al,

1994), there was a clear elevation in alertness in the morning which was dose-related.

Arendt et al (1984) have reported on the delayed effects of 2mg melatonin given

at 1700h on self-rated `fatigue' in a normal environment. The response was not

immediate in all subjects and achieved group significance after 4 days and suggests an

effect on the timing mechanisms of fatigue. Tzischinsky et al (1992a) have demonstrated

a time-dependent delayed effect of melatonin on the nocturnal sleep gate. These studies

lend further support for an effect of melatonin on the timing mechanisms of sleep and

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wakefulness.

In consideration of the present results and of the other studies described above,

acute changes in core body temperature induced by melatonin may be a primary event

in phase-shifting mechanisms.

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CHAPTER 11

GENERAL DISCUSSION

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General Discussion

11.1 DETERMINING THE BEHAVIOUR OF THE ENDOGENOUS BODY

CLOCK

When developing models to study circadian rhythm disturbances in a normal

environment, it is important to use a circadian rhythm marker that gives a reliable

indication of the behaviour of the endogenous body clock.

11.1.1 Masking

Most measured circadian rhythms are influenced by external factors which

disturb or mask the endogenous component of the rhythm and this can lead to

inaccurate estimates of the phase and amplitude of the internal biological clock. It

is therefore important to consider any factors that may influence the endogenous

rhythmicity of measured of circadian rhythms.

Melatonin and core body temperature are extensively used as circadian phase

markers. Of the exogenous factors known to alter melatonin levels in humans, light

is well recognised (Lewy et al, 1980). The influence of gravity on melatonin

concentrations has now been demonstrated in this thesis.

Melatonin in plasma and saliva is concentrated by moving from a supine to a

standing position, and diluted after an opposite change in posture. Like other plasma

constituents, the effect can be explained through the influence of gravity which causes

plasma volume to fall on standing and increase on lying down (e. g. Tan et al, 1973).

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Potential masking effects on the melatonin rhythm due to light and posture can

therefore be avoided by controlling the exposure to light and ensuring subjects

maintain the same posture for at least 20 minutes prior to sampling. Controlling

potential masking influences on body temperature is more difficult. Sleep, activity,

posture and bright light are all known to influence core body temperature (Mills et

al, 1978b; Wever, 1985b; Moog and Hildebrant, 1986; Minors and Waterhouse,

1987,1989; Dawson and Campbell, 1991; Myers and Badia, 1993). Masking

influences on the core body temperature rhythm can be eliminated or minimised by

the use of constant routine protocols (Mills et al, 1978a; Czeisler et al, 1989).

However, this procedure is inappropriate for the day to day study of circadian

rhythms in a normal environment.

An alternative method for separating the two components was developed by

Minors and Waterhouse (1992,1993). This mathematical procedure was employed

to purify the core body temperature rhythm after simulated time-zone travel (in

collaboration with Drs Waterhouse and Minors). Masking appeared to lead to

overestimates in the rate of adaptation of the endogenous circadian pacemaker with

the purified data showing slower adaptation. Such methods may provide a means of

obtaining more reliable estimates of the behaviour of the endogenous body clock and

allow data to be collected under normal conditions.

11.1.2 Different markers of melatonin secretion

Melatonin is considered to be a reliable marker of the endogenous body clock

and a number of methods are now used to determine the circadian parameters of

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melatonin secretion. There are obvious difficulties in the frequent collection of blood

in order to obtain the complete circadian profile of melatonin. Measuring only the

onset of its secretion in blood as a phase marker reduces blood loss and does not

compromise sleep in most situations (Lewy et al, 1989). However, this approach

gives no information on amplitude or offset of melatonin secretion. Non-invasive

techniques have also been employed to measure the melatonin rhythm in saliva and

its metabolite, aMT6s, in urine and have been variously compared under normal

conditions (section 4.5). The usefulness of these methods in determining circadian

parameters of melatonin secretion had not previously been evaluated after a phase-

shift. This thesis describes the close relationship between plasma melatonin onset and

the calculated peak times of melatonin in plasma and saliva, and aMT6s in urine and

suggests that all indices give reliable information about the behaviour of the

endogenous melatonin circadian rhythm. If saliva is not sampled during the sleep

phase cosinor estimates of the melatonin rhythm are inadequate.

When the melatonin rhythm adapts to an advance shift, onset times in plasma

and saliva will usually occur during the sleep phase and thus cannot be measured.

Offset times may be appropriate in these situations. However, there is some evidence

for different mechanisms affecting the onset and offset of melatonin secretion

(Illnerovä and Vanecek, 1982; Illnerovä et al, 1989; Skene et al, 1994). The

melatonin offset as a phase marker therefore needs further evaluation. The most

appropriate index of melatonin secretion clearly depends upon the experimental

design.

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11.2 AN EXPERIMENTAL MODEL TO STUDY ADAPTATION

STRATEGIES

On arrival at their destination, time-zone travellers encounter a pattern of

sunrise and sunset, activity and social schedules shifted in time. The endogenous

circadian timing system is slow to adapt to the new time cues, and until the correct

phase relationship between biological rhythms and external zeitgebers is established,

a host of physiological and behavioural problems are manifest. A similar problem

is encountered with shift workers operating to new work schedules out of phase with

the normal light/dark cycles, other competing zeitgebers and their endogenous

biological clock.

11.2.1 Adaptation to gradual phase-shifts

The circadian system usually takes 0.5-1.5h/day to adjust to new local time

cues (Aschoff, 1975; Klein and Wegmann, 1980; Folkard et al, 1991). However, by

increasing the strength of the zeitgebers at suitable times it is possible speed up the

rate of adjustment.

In a partially controlled environment, suitably timed bright light (" 1200 lux)

and darkness combined with a shift in the sleep/wake cycle successfully promoted the

adaptation of various physiological and behavioural functions to a gradual 9h delay

and advance phase-shift within 3-5 days. No major detrimental effects on body

physiology and behaviour were evident throughout the whole adjustment to such a

delay phase-shift. This method may therefore provide a means of facilitating

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adaptation to new time-zones or shift work. For example, by using this paradigm for

night shift workers starting a new shift from midnight to 0900h, individuals could be

shifted or "nudged" progressively later by 3h a day for 3 days (perhaps over the

weekend) before the first night shift, with further light treatment on the night shift to

reinforce the 9h phase-shift.

This "nudging" technique has also been employed by Eastman (1987,1991)

using a 26h light/dark schedule (i. e. daylength progressively lengthened by 2h/day)

with bright light to phase-shift circadian rhythms to the desired time. It is important

to note that in the studies conducted by Eastman and colleagues, strict control of

natural ambient light after sleep was necessary to achieve this effect.

Both these techniques may be impractical for individuals not wishing to

undergo such an elaborate sleep/wake and light/dark schedule prior to the new shift

or new time-zone. An alternative method involves the use of much brighter intensity

light (=10 000 lux) centred directly over the temperature minimum; a time at which

the circadian system is most sensitive to large phase-shifts (Czeisler et al, 1989).

This technique has been employed in a shift work study by Czeisler et al (1990) using

bright light during the night shift together with darkness during the day and with no

treatment administered prior to the new shift. Complete adaptation of circadian

variables and improvements in alertness and performance were evident within 6 days.

However, in a study comparing the bright light "nudge" technique with the rapid shift

method, Eastman (1987) found that although the latter technique induced a faster

phase-shift, sleep and alertness were compromised. Clearly, further research is

needed to evaluate the most effective and practical method of promoting adaptation

to new time schedules.

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11.2.2 Adaptation to rapid shifts - simulation of jet lag and

maladaptation to shift work

Although laboratory simulations can provide detailed information about the

adaptation process of the circadian system to changes in local time cues, there is still

a considerable difference to the real life situation. The critical feature of

environmental isolation studies is the elimination of every day zeitgebers. Treatment

strategies to facilitate adaptation to shift work or new time-zones must be effective

in the presence of competing zeitgebers which are present in normal every day life.

After successful adaptation to a gradual 9h delay or advance phase-shifts, the

subjects in these studies returned to their normal environment and baseline sleep/wake

cycle, thus experiencing a rapid 9h delay or advance phase-shift in local time cues.

The subsequent disturbances in behavioural and physiological functions was

comparable to that found in field conditions after transmeridian flight. For shift

workers, this is equivalent to a fully-adapted night shift worker returning to a day

shift. This experimental model therefore provides an effective and inexpensive

method of simulating aspects of jet lag and shift work so that the effectiveness of

various treatment strategies can be assessed in real life.

11.2.3 Preferred direction of adaptation

The faster rate of adaptation observed with westward (delayed time)

transmeridian flights compared to travelling east (advanced time) in field studies (e. g.

Klein and Wegmann, 1980) has been confirmed by our studies comparing the rate of

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adjustment to both rapid and gradual 9h advance and delay phase-shifts. The most

striking observation was that the direction of the phase-shift was more important than

the speed of the shift.

Whereas bright light was effective in adjusting the circadian system to a

gradual 9h delay, it was less successful in the adaptation to a gradual 9h advance

phase-shift; sleep, mood and performance were initially compromised in the latter

case. In addition, physiological and behavioural variables took far longer to adapt to

a rapid 9h advance phase-shift compared to a rapid 9h delay shift. This underlines

the preferred direction of reentrainment of the biological clock and confirms that the

direction of the rotating shift schedule is important to consider when designing new

work timetables. Studies directly comparing the direction of shift rotation have

shown that delaying the shift schedule (i. e. mornings - afternoons -* nights -º

mornings) reduces fatigue and improves sleep compared to advancing them (i. e.

nights -º afternoons -º mornings -º nights) (Landen et al 1981; Epstein et al, 1991;

Barton and Folkard, 1993).

11.3 EFFECTS OF BRIGHT LIGHT AND MELATONIN DURING

ADAPTATION TO RAPID PHASE-SHIFTS.

Can bright light counteract the beneficial effects of melatonin ?

Light and melatonin, suitably applied, can reset the timing of the endogenous

biological clock, but their actions are opposite in phase. Time-zone travellers and

shift workers are often exposed to bright light at times which oppose rapid adaptation.

It is conceivable that such exposure may compromise the beneficial effects of

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melatonin treatment. This possibility was therefore investigated after a rapid 9h

advance phase-shift.

Melatonin (5mg), timed to phase-advance, clearly improved subjective sleep,

alertness and performance and facilitated the adaptation of the aMT6s rhythm, after

a rapid 9h advance shift of external time cues both in the presence or absence of

bright light (2000 lux) timed to counteract the phase-shifting properties of melatonin.

This observation has practical benefits for time-zone travellers and shift workers since

they may carry out their normal activities in natural ambient light (at least up to 2000

lux) during melatonin treatment. Although melatonin proved to be the dominant

`zeitgeber' in this study, stronger intensities of light may prove more effective in

opposing the effects of melatonin treatment.

11.4 REPEATED MELATONIN ADMINISTRATION: quickest adaptation by

changing times of administration?

Repeated doses of melatonin were not necessary to observe phase-shifting

effects on the biological clock. A single melatonin treatment (0.05mg to 5mg) was

sufficient to induce phase-shifts in the endogenous circadian rhythms of core body

temperature and melatonin secretion. The use of repeated melatonin administration

at the same times each day for circadian rhythm disorders may be questionable.

Lewy et al (1992) have described a phase-response curve for melatonin after repeated

administration of melatonin for 4 days. However, the current results suggest that the

phase-response curve would shift after each melatonin treatment. Therefore, repeated

treatment at the same times over many days or weeks could conceivably be ineffective

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or counterproductive depending on the part of the PRC on which treatment falls. If

the phase-response curve shifted with each treatment such that the following treatment

fell within the zones of little or no response, or across the inflexion point where

phase-delays are induced instead of phase-advances and vice versa, melatonin may

prove to have little beneficial effect.

Clearly repeated administration of melatonin at the same clock times is

effective when administered just before the desired bedtime and may provide a

constant entraining effect (e. g. Arendt et al, 1987; Folkard et al, 1990; Jan et al,

1994). However, changing the time of administration each day so that the treatment

falls within the zone of maximum phase-shift may speed up the resynchronization

process for jet travellers and shift workers.

11.5 MECHANISM OF ACTION OF MELATONIN

11.5.1 Phase-shifting effect on the biological clock

The most commonly reported effects of melatonin treatment in circadian

rhythm disturbances have been improvements in mood and sleep (e. g. Arendt et al,

1987; Folkard et al, 1990; Jan et al, 1994). Redman et al (1983) suggested that

melatonin's effect on rest (sleep)/activity may occur via a phase-resetting action on

the biological clock. Certainly, as has been demonstrated in this thesis and by Zaidan

et al (1994) single melatonin treatments can phase-shift the endogenous clock, but by

less than 1.5h in entrained conditions. However, after a rapid 9h advance phase-shift,

subjective sleep improved significantly on the first night following administration (one

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hour before bedtime) with no significant adaptation of the urinary aMT6s or purified

temperature rhythms. It seems unlikely that this immediate effect on sleep was

attributable to an effect on the endogenous clock and suggests that other mechanisms

are involved.

11.5.2 `Hypnotic' effects

It has been suggested that the beneficial effects of melatonin on sleep are due

to its `hypnotic' properties similar to that seen with benzodiazepines, and that

endogenous melatonin is involved in normal physiological sleep inducing mechanisms

(Waldhauser et al, 1990; Dollins et al, 1993,1994). However, studies investigating

alterations in sleep architecture have been conflicting and any changes seen were

minor (see section 1.2.10). At a dose commonly used to treat circadian rhythm

disorders, 5mg melatonin has been found to slightly increase REM latency (James et

al, 1987) in normal individuals and reduce the latency from bedtime to stage 2 sleep

in patients suffering from delayed sleep phase syndrome, suggesting a phase-resetting

and initiation mechanism (Dahlitz et al, 1991).

Benzodiazepines have proved beneficial in facilitating sleep adaptation after

transmeridian flight (Nicholson et al, 1985; Donaldson and Kennaway, 1991).

Melatonin has been shown to interact with the GABAergic system (Rudeen et al,

1980; Rosenstein and Cardinali, 1986; Coloma and Niles, 1988) through which the

benzodiazepines are likely to exert their sedative and anxiolytic properties (Enna and

Mähler, 1987). Although melatonin may enhance these properties of

benzodiazepines, it does not itself behave like a benzodiazepine (Guardiola-Lemaltre

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et at, 1992). In rodents sedative and anxiolytic activity occurs at much higher doses

than the levels needed to entrain circadian rhythms (Tobler et al, 1994). Sedative

effects of melatonin were only significant at pharmacological doses in the studies

described in this thesis.

It must also be noted that the acute drowsiness observed in the experiments

described in this thesis and of Dollins et al (1993,1994) using low oral doses of

melatonin may be related to the experimental conditions whereby subjects seated in

a warm room in dim light and were asked to perceive sleepiness more clearly than

when active. Other studies in a normal environment have shown that administration

of 2mg melatonin at 1700h induced clear drowsiness only after 4 days (Arendt et al,

1984,1985a), which suggests an effect on the timing mechanisms of sleep rather than

a sedative effect. In addition, in previous experiments using 5mg melatonin to

facilitate adaptation to a new time-zone, subjects could not usually distinguish

melatonin from placebo (Arendt et at, 1987; Samel et al, 1991). Clearly the activity

of the subject may easily override any melatonin-induced sleepiness.

Melatonin-induced drowsiness may simply be a result of temperature lowering

effects (Dawson and Encel, 1993). The sedative-like effects of melatonin on mood

and performance followed the same time course as the suppression of body

temperature. Certainly there is strong evidence for a thermoregulatory role for

melatonin (Strassman et al, 1991; Cagnacci et al, 1992,1993; Badia et al, 1993) and

a strong relationship between the free-running rhythms of sleep propensity, body

temperature and melatonin (Nakagawa et al, 1992).

Although, it seems unlikely that endogenous melatonin induces physiological

sleep, melatonin may prepare the body for sleep in some way. With pharmacological

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doses, melatonin may exert its beneficial effects through a combination of sedation,

temperature regulation and phase-shifting mechanisms.

11.6 MASKING OR CUE FOR ENTRAINMENT ?

Although external masking by the subject's behaviour and environment is

considered undesirable by those interested in the pattern of the internally generated

rhythm, some types of masking may well be important in normal physiology as a part

the adaptive homeostatic mechanisms of the body, enabling the body to respond to

environmental changes.

Aschoff (1987) suggests that external masking from zeitgebers (e. g. from light

and sleep) augments endogenous circadian rhythms and strengthens the temporal

relationship with other circadian rhythms and the environment. In addition to this

direct effect on the endogenous clock, Minors and Waterhouse (1989) underline the

importance of "internal masking". In this case, physiological or biochemical changes

occurring within the body as result of external factors could affect the circadian

timing system. For example, the acute changes in body temperature in response to

melatonin or bright light may provide additional input distinct from direct

entraining/phase-shifting effects. When external time cues such as the light/dark

cycle and sleep/wake schedule are in phase with the internal body clock, they may

strengthen the circadian timing system. When out of phase, acute masking effects of

the external zeitgebers such as the light/dark and sleep/wake cycles are in phase with

the new shift in local time, a time to which the body needs to adapt to. Clearly

masking from exogenous zeitgebers may provide an appropriate time cue. Suitably

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timed exogenous melatonin may have similar effects.

11.7 RELATIONSHIP BETWEEN THE ACUTE EFFECTS AND PHASE-

SHIFTING PROPERTIES OF MELATONIN AND BRIGHT LIGHT

The intensity of light required to shift the timing of circadian rhythms is

enough to cause the suppression of melatonin secretion (Arendt, 1988; Lewy et al,

1980; McIntyre et al, 1989). The phase-shifting ability of bright light is associated

with a short term fall in the body temperature rhythm amplitude (Czeisler et al, 1989;

Jewett et al, 1991). Cagnacci and co-workers (1992) have suggested that this

reduction in amplitude is similar to that obtained with atenolol suppression of

melatonin and speculate that the suppression of melatonin may be involved in the

phase-shifting mechanisms of bright light.

The phase-response curves for light (using core body temperature and

melatonin as circadian phase markers, Czeisler et al, 1989; Minors et al, 1991; van

Cauter et al, 1994) and melatonin (using its own endogenous rhythm as a marker,

Lewy et al, 1992; Zaidan et al, 1994) are nearly opposite in phase. Furthermore,

through indirect and direct evidence, the acute effects of bright light and melatonin

on body temperature have been shown to be inversely related (Strassman et al, 1991;

Badia et al, 1993; Campbell and Dawson, 1990).

This thesis describes the dose-dependent suppression of core body temperature

with a concomitant fall in alertness following melatonin treatment during the day.

Conversely, Myers and Badia (1993) describe the dose-dependent stimulation of body

temperature and alertness with bright light. In the latter study, light-induced

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stimulation of temperature and alertness occurred only at light intensities found to

suppress melatonin secretion and after the melatonin onset time. Furthermore, bright

light exposure during the day does not appear to elevate body temperature (Murphy

et al, 1991; French et al, 1990).

These acute effects of bright light on body temperature are only clear during

the late evening, nighttime hours and early morning (i. e. during periods of darkness),

and at times when the circadian system is susceptible to the phase-shifting effects of

bright light. Unfortunately, the acute effects of exogenous melatonin on temperature

have not been studied during the nighttime hours in the presence of endogenous

melatonin. However, administration during the day causes suppression of body

temperature (Cagnacci et al, 1992; Dollins et al, 1993,1994; Deacon et al, 1994).

It would be interesting to establish any time-dependency of the acute effects of

melatonin on body temperature. The suggestion is that melatonin would only be

effective at times when phase-shifts can be induced. This thesis has clearly shown

that prior to its phase-shifting action on the endogenous body clock, melatonin has

acute dose-related effects on body temperature, and that these acute effects are highly

correlated to the degree of shift in the endogenous biological clock. A recent study

indicates that slow changes in ambient temperature at night can phase-shift the

temperature rhythm (Dewasmes et al, 1994), strengthening the suggestion that

thermoregulatory responses may be involved in phase-shifting mechanisms.

In consideration of the results shown in this thesis and of the other studies

described, acute changes in body temperature by bright light and melatonin may be

a primary event in phase-shifting mechanisms.

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11.8 FUTURE WORK

Given that bright light can induce large phase-shifts in the endogenous clock

which are nearly opposite in phase to those of melatonin, a combination of

treatments, when suitably timed, may reinforce each other and provide the most

effective phase-shifting strategy. Future experiments should consider the use bright

light (of varying intensities) in combination with melatonin to facilitate the gradual

and rapid adaptation to advance phase-shifts. This direction of shift clearly induces

the greatest behavioural problems and circadian rhythm disturbances.

A complete intensity-response curve showing the degree of shift with varying

intensities and duration of light should be carried out to determine the optimum

conditions for efficient phase-shifting. Relating the degree of shift to the magnitude

of melatonin suppression, stimulation of temperature and alertness, will strengthen the

suggestion that light-induced effects on physiology and behaviour are mediated

through changes in melatonin and body temperature.

It is still not known whether the duration of exogenous melatonin treatment

is important. Clearly oral doses of fast-release melatonin do not reflect the nocturnal

profile of melatonin secretion. Intravenous infusions (Strassman et al, 1987; Zaidan

et al, 1994) and sustained release preparations (Beni s et al, 1993) which mimic

nocturnal melatonin secretion should provide a useful tool to study the role of

endogenous melatonin in thermoregulation and phase-shifting mechanisms. The

ability of a single melatonin treatment to phase-shift the endogenous body clock

indicates the importance of establishing a PRC based on single oral treatments similar

to that described by Zaidan et al (1994) using intravenous infusions. For clinical

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purposes, a PRC based on single oral melatonin treatment would be of great practical

benefit. The most effective dose of melatonin for phase-shifting the endogenous body

clock was 5mg. This particular oral dose has been used extensively to treat circadian

rhythm disorders (Arendt et al, 1987; Petrie et al, 1989; Folkard et al, 1990; Dahlitz

et al, 1991; Tzischinsky et al, 1993). It will be of interest to study higher doses in

future experiments.

As single melatonin treatments can shift the endogenous body clock and

therefore the PRC within one day, future experiments should compare the phase-

shifting effects of repeated daily melatonin administration at the same times with a

schedule which alters the time of melatonin treatment daily to take account of the

altered PRC each day. Changing the time of administration should provide the

optimum phase-shifting efficiency. However, such a treatment paradigm may be

impractical when the desired administration time falls within the sleep phase, although

delayed release preparations may prove beneficial in these situations. Furthermore,

melatonin administration during the day may induce undesirable drowsiness.

Melatonin treatment strategies should therefore be evaluated with these considerations

in mind.

Melatonin can induce temperature suppression and drowsiness and poor

performance. Drugs which inhibit the secretion of melatonin may therefore reverse

this effect. There is indirect evidence for this. B-antagonists, which suppress

melatonin synthesis, are associated with elevated body temperature at night (Cagnacci

et al, 1992) and disturbed sleep together with reduced alertness during the day

(Dimenas et al, 1990, McAinsh and Cruickshank, 1990).

In contrast, it would be interesting to see whether drugs or situations which

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alter body temperature affect melatonin production. There is limited evidence to

suggest that non-steroidal anti-inflammatory drugs reduce melatonin production in

humans (Bird et al, 1986; Murphy et al, 1993) and elevate body temperature at night

(Badia et al, 1993; Murphy et al, 1993). It would be interesting to see if preventing

melatonin-induced temperature suppression hinders the phase-shifting properties of

melatonin.

It is not known whether melatonin acts peripherally to adjust body temperature

or centrally within the thermoregulatory centres of the hypothalamus. It is possible

that the acute effects of melatonin on temperature provide information to the SCN

indirectly via thermoregulatory responses. This in turn may modulate the timing and

amplitude of the temperature rhythm as part of the "adaptive homeostatic"

mechanisms of the body. The close anatomical and neural association between the

thermoregulatory centres in the hypothalamus and the SCN, the presence of putative

melatonin receptors within the hypothalamus, together with the close association

between melatonin-induced temperature suppression and its phase-shifting effects,

suggest the involvement of hypothalamic control of body temperature in phase-shifting

responses and provides a new direction for future research into circadian phase-

shifting mechanisms.

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PUBLICATIONS AND PRESENTATIONS

Page 341: manipulation of the human circadian system with bright light and melatonin

Publications and Presentations

Deacon S. J. and J. Arendt, 1994. Phase-shifts in melatonin, 6-sulphatoxymelatonin

and alertness rhythms after treatment with moderately bright light at night. Clinical Endocrinology, 40 (3), 413-420. Part of this work was presented at

the European Society for Pineal Research, Copenhagen, Denmark, July, 1993.

Deacon S. J. and J. Arendt, 1994. Posture influences melatonin concentrations in

plasma and saliva in humans. Neuroscience letters, 167,191-194. This work

was presented at the 184th meeting for the Society for Endocrinology jointly

with the Endocrine Section of the Royal Society of Medicine, London,

November, 1993.

Deacon S. J., J. English and J. Arendt, 1994. Acute phase-shifting effects of

melatonin associated with temperature suppression in humans. Neuroscience

Letters, 178,32-34. This work was presented at the 4th meeting for the

Society for Research on Biological Rhythms, Florida, USA, May, 1994.

Deacon S. J. and J. Arendt, 1994. Forced phase-shifts in partial environmental isolation. In: Work Hours, Sleepiness and Accidents, Stress Research

Reports, No. 248, T. Akerstedt and G. Kecklund (eds. ), Karolinksa Institute,

Stockholm, Sweden. This work was presented at the conference on "Work

Hours, Sleepiness and Accidents", Stockholm, Sweden, September, 1994.

Deacon S. J., J. English and J. Arendt, 1994. Does the phase-shifting ability of

melatonin relate to core body temperature suppression ? In: Work Hours,

Sleepiness and Accidents, Stress Research Reports, No. 248, T. Akerstedt and G. Kecklund (eds. ), Karolinksa Institute, Stockholm, Sweden. This work was

presented at the conference on "Work Hours, Sleepiness and Accidents",

Stockholm, Sweden, September, 1994.

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Deacon S. J. and J. Arendt, 1994. Use of melatonin to adapt to phase-shifts, I.

Melatonin counters sleep problems after a large advance shift in external time

cues in spite of ambient light conditions, abstract. Fourth meeting for the

Society for Research on Biological Rhythms, Florida, USA, May, 1994.

Deacon S. J. and J. Arendt, 1994. Use of melatonin to adapt to phase-shifts, II.

Mood and performance after a large advance shift in external time cues,

abstract. Fourth meeting for the Society for Research on Biological Rhythms,

Florida, USA, May, 1994.

Deacon S. J. and J. Arendt, 1993. Decrements in performance and sleep in response

to a phase-shifting light stimulus (1200 lux) at night. J. Interdisciplinary

Cycle Research, 24,264-266. This work was presented at the European

Society for Chronobiology, Bath, September, 1993.

Deacon S. J., J. Arendt and J. English, 1993. Posture: a possible masking factor of

the melatonin circadian rhythm - Comparison of plasma and salivary melatonin levels in high frequency sampling. Proceedings of the International

Symposium on the Pineal Gland, Paris, September 1992. In: Melatonin and

the Pineal Gland - From Basic Science to Clinical Application, Y.

Touitou, J. Arendt & P. PBvet (eds. ), pp. 387-390, Elsevier, New York.

Skene D. J., S. Deacon and J. Arendt, 1994 (in press). Light and melatonin

responses in humans. Proceedings of the Fourth International Scientific

conference on "Work with Display Units" Italy, October 1994.

Submitted (1994)

Deacon S. J. and J. Arendt. Melatonin-induced temperature suppression and its phase-

shifting effects correlate in a dose-dependent manner in humans. Brain

Research.

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Clinical Endocrinology (1994) 40,413-420

Phase-shifts in melatonin, 6-sulphatoxymelatonin and alertness rhythms after treatment with moderately bright light at night

Stephen J. Deacon and Josephine Arendt School of Biological Sciences, University of Surrey, Guildford, Surrey, UK

(Received 7 April 1993; returned for revision 23 June 1993; finally revised 23 July 1993; accepted 17 August 1993)

Summary

OBJECTIVES Shift work and rapid travel across several time zones leads to desynchronization of Internal circa- dian rhythms from the external environment and from each other with consequent problems of behaviour, phy- siology and performance. Field studies of travellers and shift workers are expensive and difficult to control. This investigation concerns the simulation of such rhythm disturbance in a laboratory environment. The main objec- tives are to assess the ability of controlled exposure to moderately bright light and darkness/sleep to delay circadian rhythms in volunteers without environmental isolation and, secondly, to evaluate the use of different Indices of melatonin (MT) secretion together with self- rated alertness as marker rhythms. PATIENTS Six normal volunteers aged 22-26 years (mean ± SD 24.3±1.4). DESIGN Subjects were exposed to the following periods of moderately bright light (1200 lux) on three consecutive days in early December 1991: Day (D)1: 2000-0200 h, 02: 2200-0400 h and D3: 2400-0600 h. Each period was followed by 8 hours of darkness (< I lux). Hourly blood, sequential 4-hourly urine (8-hourly when asleep) and hourly saliva (except when asleep) samples were taken throughout a 24-hour period on DO (baseline), D4 (1 day post-light treatment) and D7 (4 days post-light treatment). During waking hours, subjective alertness was rated every 2 hours on a visual analogue scale. MEASUREMENTS MT was measured in plasma and saliva, and Its metabolite, 6-sulphatoxymelatonin (aMT6s), was measured in urine. MT, aMTBs and alertness scores were analysed by ANOVA and a cosinor analysis program. RESULTS A delay shift was present in the aMT6s, plasma

Correspondence: Professor Josephine Arendt, School of Biological Sciences, University of Surrey, Guildford GU2 5XH, Surrey, UK. Fax: 0483 576978.

MT and salivary MT rhythms (degree of shift: 2.67±0.3 h (P<0.001, n=5); 2.35±0.29 h (P<0.001, n=6); and 1.97±0.32 h (P<0.01, n=6), mean ±SEM, respectively) 1 day post-light treatment compared to baseline. Adaptation to the Initial phase position was apparent by the 4th post- treatment day. Significant correlations were obtained between plasma MT onset (degree of shift: 3.12±0.74 h (P < 0.001, n=6, mean ± SEM)) and the acrophases (calcu- lated peak times) of plasma MT (P<0.001), salivary MT (P < 0.05) and urinary aMT6s (P < 0.01). A significant phase delay In the alertness rhythm was also evident 1 day post- treatment (3.08 ± 0.67 h (P < 0.01, n=6, mean ± SEM)) with adaptation by the 2nd post-treatment day. CONCLUSIONS This study suggests that these methods of determining MT secretion are comparable and give reli- able assessments of the MT circadian phase position even after a phase-shift. Significant phase-shifts of similar magnitude can be induced In both MT and alertness rhythms using moderate intensity bright light at night.

Rapid time zone change and shift work can lead to conflict between the new external time cues (zeitgebers) and the internal biological clock with consequent physiological disturbances and deleterious effects on, for example, sleep and performance (Seigel et al., 1969; Fevre-Montange et al., 1981; Winget ei al., 1984; Touitou et al., 1990). Pharmaco- logical and non-pharmacological interventions to promote adjustment to rapid change of external time cues have been proposed (Lewy et al., 1985; Arendt et al., 1986; Czeisler et al., 1990; Redfern, 1992).

Suitably timed bright light of sufficient intensity and duration will induce phase-shifts in physiological variables such as core body temperature, cortisol and melatonin secretion (Czeisler et al., 1986; Broadway et al., 1987; Lewy et al., 1987; Minors et al., 1991; Shanahan & Czeisler, 1991). In constant routine ('unmasked') conditions, the magnitude and direction of shift of melatonin and core body tempera- ture are similar (Shanahan & Czeisler, 1991) suggesting a common control mechanism. Under normal environmental conditions, however, MT is less influenced by external factors (other than light, Lewy et a!. (1980)), compared to other circadian rhythms such as core body temperature and cortisol secretion. One primary aim of this study was to devise a simple, rapid and inexpensive method to study the

413

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414 S. J. Deacon and J. Arendt

adaptation of circadian (about 24-hour) rhythms during and after a phase-shift without complete environmental isola-

tion. In this initial study a combination of moderately bright light and subsequent imposed darkness was used to induce a phase-shift and MT was employed as a circadian rhythm marker together with self-rated alertness.

Melatonin has been variously measured and compared in plasma, saliva, and its metabolite aMT6s in urine (Markey et al., 1985; Vakkuri, 1985; Bojkowski et a!., 1987; McIntyre et al., 1987; Nowak et a!., 1987) under normal environmental conditions. The onset of its secretion in dim light has been

extensively used by Lewy and co-workers (e. g. Lewy & Sack, 1989) as a circadian phase marker. A second aim of this study was to assess the relative validity of these various approaches in determining the circadian phase position under normal and phase-shifted conditions.

Subjects and methods

Subjects

Six healthy volunteers (3M: 3F), aged 22-26, under no medication (except oral contraceptives) and all non- smokers, were recruited from research students and staff of the University of Surrey. All subjects gave informed consent and the study protocol was approved by the Ethical Committee of the University of Surrey. Prior to the study all volunteers underwent standard biochemical and haemato- logical tests.

They refrained from heavy exercise and caffeine-contain- ing drinks for 12 hours before sampling of body fluids and restricted their alcohol consumption (maximum 2 units per day) throughout the experiment.

Study design

The study was performed in early December 1991. Consis- tent with other related studies (e. g. Czeisler et al., 1986), individual responses were evaluated in comparison to their own baseline values.

Baseline. For one week prior to light treatment (days (D) -7 to 0), the subjects were required to maintain a regular sleep/ wake schedule, retiring to bed at 2330 h and waking at 0800 h, remaining in the dark (< I lux) between these times.

Light treatment. Immediately following the baseline week, the subjects were exposed to the following periods of moderately bright, full spectrum light (average 1200 lux at eye level, irradiance 492 pW/cm2; True-Lite, Duro-Test Corporation, Fairfield, NJ, USA, obtained through Full Spectrum Lighting, High Wycombe, Buckinghamshire, UK)

Clinical Endocrinology (1994) 40

on 3 consecutive days: D1: 2000-0200 h, D2: 2200-0400 h, D3: 2400-0600 h. Each period of light treatment was followed by 8 hours of imposed darkness (< I lux). During the remaining hours of each day strict light control was not imposed until dusk (1630 h), but the subjects were asked to refrain from periods of exposure to bright sunlight. From dusk until the light treatment period, subjects remained in domestic intensity light (cool, white fluorescent, 150-300 lux

at eye level, irradiance 45-90 pW/cm2). Throughout the light treatment (Dl-3) meal-times were shifted progressively by 2 hours each day in line with the imposed light/dark cycle. Subjects were allowed to choose their activity (e. g. reading, writing, watching videos) as long as they glanced periodically (at least every 5 minutes) at the light source. They were continuously supervised throughout these periods.

Post-light treatment. Immediately following the last light treatment, subjects were required to assume the baseline

sleep/wake schedule, i. e. retiring to bed at 2330 h and waking at 0800 h for 4 days (D4-8). The subsequent readaptation of the subjects in their normal environment was then observed. Subjects were allowed to sleep only during the periods of darkness throughout this study. Naps were not allowed.

Sampling

During body fluid sampling and light treatment the subjects remained in the Clinical Investigation Unit at the University

of Surrey. Blood, urine and saliva samples were taken on the last baseline day (DO), the first post-light treatment day (D4) and the fourth post-treatment day (D7). All blood and saliva samples obtained throughout the dark-phase were taken in the recumbent position and daytime samples after sitting for at least 10 minutes.

Blood. An indwelling cannula was inserted into the forearm of each subject, under local anaesthetic, between 1630 and 1700 h. Blood samples (5 ml) were obtained hourly from 1700 h for 24 hours on each sampling day and collected into lithium heparin tubes. The plasma was separated within 20 minutes by centrifugation (2500 g for 10 minutes) and stored at - 20° C until analysis. Sampling during darkness was performed in dim red light (< I lux). A total of 396 ml of blood was removed from each person.

Saliva. 2-3 ml were obtained hourly from 1700 h for 24 hours, except during sleep, on the sampling days (following 2

minutes of chewing on Parafilm), collected into labelled

plastic vials and frozgn at -20°C until analysis. Meals and drinks were taken just after saliva sampling and a thorough

mouthwash taken afterwards to reduce any possible interfer-

ence with salivary MT estimation.

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Clinical Endocrinology (1994) 40

Urine. Sequential 4-hourly urine samples (8-hourly when asleep) were collected from 1600 h throughout 24 hours on DO, 4 and 7. Each subject voided at 1600 h on each sampling day. All urine was then collected throughout each 4-hour

period and the bladder completely emptied at the end of that collection period. The volume of each sample was noted and a 5-ml aliquot from each sample was collected into a labelled

vial and frozen at -20°C until analysis.

Behavioural measurements

Throughout the entire experimental period, alertness was rated every 2 hours on a 10-cm visual analogue scale (VAS, `Drowsy. -. Alert'), except when asleep. In addition, daily

sleep logs were kept and performance tasks were carried out. The effects of an induced phase-shift on various sleep and performance parameters will be reported elsewhere.

Hormone assays

Plasma MT levels were determined by direct RIA using the method described by Fraser et al. (1983), with antiserum (no. G/S/704-8403) obtained from Stockgrand Ltd (University of Surrey, Guildford, UK). The interassay coefficients of variation were 10.4,15.2 and 9% at 97,142 and 905 pmol/l (n=10). The minimum detection limit (defined as the concentration at 2 SD from the mean at maximum bound counts) was 26 pmol/l.

Salivary MT was determined using a GCMS-validated modification (English et a!., 1993) of the direct plasma MT RIA described by Fraser et al. (1983) using an iodinated tracer, with antiserum no. 19540/16876 from Stockgrand Ltd. The interassay coefficients of variation from routine quality control samples were 15.3,11.7 and 5.5% at 105,169 and 288 pmol/I (n = 6). The minimum level of detection was 13.8 pmol/l.

Urinary aMT6s was determined using the method de- scribed by Aldous and Arendt (1988) with antiserum (no. HP/S/1118-23884) from Stockgrand Ltd. The interassay coefficients of variation were 16.8,11.6 and 5.8% at 7.2,63.3 and 132 nmol/l (n = 6). The minimum level of detection was 1.2 nmol/l.

Statistical analysis

The raw hormonal data were subjected to two-way ANOVA

with replication. Subsequently, a cosinor analysis program (written by Dr D. S. Minors, University of Manchester, UK) was used to derive the rhythm characteristics of both the alertness and hormonal data. ANOVA followed by Dun-

can's Multiple Range Test, or Student's t-test where appro-

Phase-shifts in melatonin and alertness rhythms 415

priate, were applied to the cosinor-derived parameters of acrophase (calculated peak time), amplitude and daily mean (for alertness). All data below the limit of detection were excluded from the analysis, except for the purposes of the cosinor program where values lower than this limit were assigned a value of half the minimum detection limit of the assay.

The onset and offset of plasma MT secretion were defined as twice the minimum detection limit of the assay when two consecutive values either exceeded or were below this amount. The relations between concentrations of MT in

saliva and plasma, and aMT6s in urine, and between their respective acrophases and plasma MT onset time, were determined by linear regression analysis and Pearson's

correlation. Mean daily alertness scores were also determined for each

individual and calculated as a percentage of their own baseline. All values quoted are mean±SEM unless stated otherwise.

Results

No subjects reported any oral lesion or discomfort during the

study and no saliva sample appeared to be contaminated with blood. On four of the baseline days (D -6 to - 3) one subject suffered from flu-like symptoms which subsequently resulted in reduced alertness and disrupted his sleep pattern. The alertness data obtained on these days were excluded from the analysis.

The profiles of urinary aMT6s, plasma MT and salivary MT are shown in Fig. 1.

Inspection of the aMT6s data indicated a marked phase delay on the first post-light treatment day (D4) in five out of six subjects. One subject showed a threefold increase in the amplitude of aMT6s on D4 with no phase change and, in contrast to all the other subjects, a poor correlation with plasma and salivary MT. This subject was consequently excluded from the analysis of aMT6s.

A significant time-dependent effect of treatment (ANOVA-phase delay) was shown by two measures of MT secretion (aMT6s, P<0.01; plasma MT, P<0.05) but not with salivary MT, on the first post-light treatment day (D4), which was no longer present on the fourth post-light treatment day (D7) (P<0-l).

Cosinor analysis gave most significant fits of plasma MT (17 out of 18 profiles at P<0.001), followed by salivary MT (14 out of 18 at P<0.05) and urinary aMT6s (10 out of 15 at P<0.1) reflecting the missing data during sleep for both salivary MT and aMT6s. However, the percentage of the variance accounted for by a cosine curve was greater than 81 % in the aMT6s profiles.

Page 390: manipulation of the human circadian system with bright light and melatonin

416 S. J. Deacon and J. Arendt

` D

3

2

I

1600- 2000- 2330- 0800- 1200- 2000 2330 0800 1200 1600

Clock time

Clinical Endocrinology (1994) 40

1800 2200 0200 0600 1000 1400

Clock time

Fly. 1 Circadian profiles for a, urinary aMT6s; b, plasma MT; and c, salivary MT showing (i) phase delay on  , the first post-light treatment day (D4) compared to Q, baseline (DO) and (ii) readaptation by  , &, the fourth post-light treatment day (D7), i. e. no significant difference from baseline (DO). Darkness from 2330 to 0800 h. *P<0.05, **P<0.01 significant time-dependent treatment effect: phase delay (two-way ANOVA with replication). Values represent mean±SEM (n=6; urinary aMT6s: n=5).

Using the acrophase data derived from the cosinor program, a significant phase delay (ANOVA) was present in

all measures of MT secretion on the first post-light treatment day. The mean peak time was shifted by 2.67±0.3 h (n=5) for aMT6s (P<0. OO1), 2.35±0.29 h (n=6) for plasma MT (P<0.001) and 1.97±0.32 h (n=6) for salivary MT (P<0.01), l day post-light treatment (Fig. 2). Plasma MT

onset also showed a significant delay on D4 (3.12±0.74 h,

n=6, P<0.001). These shifts did not significantly differ from

each other (P> 0.1). The acrophase estimates and MT onset time for the fourth post-light treatment day (D7) were not significantly different from baseline (P>0.1, ANOVA), but

were significantly different from D4 (P<0.05, ANOVA), indicating re-entrainment by D7. The plasma MT offset time

shifted to a lesser degree (1.33 +0-35 h, n= 6) compared to its onset time.

Table I shows the correlation of acrophases between plasma and salivary MT and urinary aMT6s, together with plasma MT onset times. The urinary aMT6s acrophase occurred on average 1.45 and 2.09 hours after the plasma and salivary MT acrophases, respectively, and 5.6 hours after the plasma MT onset.

There was a direct correlation between plasma and salivary MT in samples taken simultaneously (r=0.758, P<0-001) before the light treatment, immediately after the phase-shift (r=0.792, P<0.001) and on D7 (r=0.576, P<0.01). The difference between plasma and salivary MT levels remained constant throughout the study. Salivary MT

Page 391: manipulation of the human circadian system with bright light and melatonin

Clinical Endocrinology (1994) 40

80

60

c(i)

1

0 1800 2200 0200 0600 1000 1400

Clock time

Fiq. 1c

levels were estimated to represent a mean ± SD of 40 ± 6.9%

of the corresponding plasma levels throughout the baseline day (DO), 441 ±4.9% over the first post-light treatment day

and 37.4±4.6% on the fourth post-light treatment day, to

give an overall mean±SD value of 40.4±5.3%. The degree of shift for aMT6s on D4 was significantly

correlated (P>0.05) to the pretreatment amplitude of the aMT6s rhythm, such that the greater the amplitude the smaller the phase-shift. No such correlations were found to be statistically reliable with plasma or salivary MT rhythms. No significant change in the rhythm amplitude was apparent after the phase-shift with any of the measures of MT secretion.

Alertness

No significant difference in the timing of the alertness acrophase was found throughout the baseline days (mean

Phase-shifts in melatonin and alertness rhythms 417

0200

[Soo

1600

ý Y U 0 U

1400

4,

0800

c 0

0600

0 E a 0 n

0400 m O jr n O V

4 0200

2400

2200

04

* **

TI1I

7

Days Fig. 2 Acrophase estimates for ", urinary aMT6s; Q, plasma MT; f, salivary MT;  , plasma MT onset; and 0, alertness on the baseline day (DO), I day post-light treatment (D4) and 4 days post-light treatment (D7). Darkness from 2330 to 0800 h. Acrophase estimates are represented as mean ± SEM (n=6, n=5 for aMT6s). **P<0. O1, ***P<0.001: significant difference from baseline (ANOVA). D7 was significantly different from D4 (P<0.05) but not from DO for all variables. This suggests a significant phase-shift on the Ist post-light treatment day and re- entrainment by the 4th post-light treatment day (2nd-post treatment day for the alertness rhythm (Fig. 3)).

acrophase 1484±0.28 h). There was a reliable condition effect (P < 0-0 1, ANOVA), with a clear phase delay in the

rhythm (shift: 3-08+0-67h, P<0.01, n=6, ANOVA; 1 day

post-light treatment compared to DO). This effect is shown in

Fig. 2. The alertness rhythm re-entrained by the second post-

Page 392: manipulation of the human circadian system with bright light and melatonin

418 S. J. Deacon and J. Arendt

Table 1 Correlation and linear regression analysis of acrophase estimates between plasma MT, salivary MT and urinary aMT6s, together with the time of plasma MT onset. y=mean (±SEM)x +mean (±SEM)

Plasma MT/urinary aMT6s y =0"82 (±0-18)x + 1-45 (±0"93) r=0"754, P<0"001, n= 15

Plasma MT/salivary MT y=0-60 (±0.2)x+2"35 (±0"93)

r=0"6, P<0.01, n= 18

Urinary aMT6s/salivary MT y=0"78 (±0.19)x+2"09 (±0-78) r=0.718, P<0"001, n= 18

Plasma MT onset/plasma MT

y=0.62 (f0"I)x+5"06 (±0"23)

r=0"849, P<0"001, n= 18

Plasma MT onset/urinary aMT6s y=0.7 (±0"14)x+5"6 (±0"23)

r=0.69, P<0"01, n= 15

Plasma MT onset/salivary MT

y=039 (t0"15)x+4"55 (±0-24)

r=0S3, P<0"05, n=18

2400

2200

2000

1800

1600

1400

12001 1, III. IIIIIiIII

-7 -5 -3 -I I357

Day #f

Fig. 3 Alertness acrophase estimates (mean ± SEM, n=6; D-6 to D-3, it = 5) throughout an 8-day baseline (D- 7 to DO), a 3-day light treatment period (D1-3) and a 4-day post-light treatment (D4-7). 'P<0.05, "'P<0.01: significant difference from baseline (Duncan's multiple range test). A significant phase-shift can be

observed on D3 and D4 with re-entrainment by D5. f Bright light

administration.

Clinical Endocrinology (1994) 40

light treatment day (Fig. 3). No reliable difference in

amplitude was apparent although the daily mean alertness fell significantly during the first day of the light treatment (P<0.01, Duncan's multiple range). The degree of shift in

the alertness rhythm on D4 (compared to DO) was not significantly different from the shift in urinary aMT6s, plasma MT, salivary MT and the plasma MT onset time (P>0.1).

Discussion

One object of this study was to assess the usefulness of non- invasive methods of determining MT secretion in the form of salivary MT and urinary aMT6s before and after a phase- shift. The close relationship between plasma MT onset as a phase marker, and the calculated peak times of MT in

plasma and saliva, and aMT6s in urine, suggests that all these approaches give valid information.

The light treatment schedule was chosen to enhance the

natural tendency of circadian rhythms in the majority of people to delay. During the light treatment it was not possible to assess correctly the phase position of circadian

rhythms due to the direct, acute effects (`masking') of light. For example, with sufficiently bright light MT is suppressed

and core body temperature is increased (Lewy et al., 1980; Badia et al., 1990). For this reason, the immediate post-light treatment period provides the nearest estimate to the actual

phase-shift induced. During this period (D4), during the baseline (DO), and after readaptation (D7) the MT onset and mean peak values occurred in conditions of dim light or darkness. In such conditions, it is assumed that the measured

phase position of MT represented the actual phase position

on those days, and that the magnitude of the actual induced

shift was greater than or equal to the measured shift on D4.

In order to minimize sleep disturbance which may have

compromised behavioural measurements, saliva and urine

sampling were avoided during the sleep-phase. There was thus some loss of definition in circadian profiles, particularly for salivary MT. In spite of this problem a comparable phase-shift in the salivary MT rhythm was obtained. Clearly, however, the saliva data would have been greatly enhanced by night-time sampling. The salivary MT onset time was not a useful index of the rhythm since a high proportion (67%) of onset times occurred during the sleep-phase after the phase- shift.

In this present study the ratio of salivary MT levels to

plasma MT levels remained constant and the correlation remained highly significant even immediately after the

phase-shift. These results agree well with the other reports (Vakkuri, 1985; McIntyre et al., 1987; Nowak et al., 1987)

Page 393: manipulation of the human circadian system with bright light and melatonin

Clinical Endocrinology (1994) 40

where samples were obtained throughout 24 hours in a normal environment. McIntyre and colleagues (1987) also showed a good correlation (r = 0.92, P<0.005) when plasma MT and salivary MT levels were suppressed with one hour of bright light between 2400 and 0100 h. Nickelson et al. (1991)

suggested that the relationship between salivary MT and urinary aMT6s may change following a 9-hour forced phase- shift. There is no evidence for this phenomenon in this present study. However, the induced shift was much smaller and more frequent saliva collections were made, at least during waking hours.

The practical advantage of urinary aMT6s is that it

provides an integrated measure for MT production over the night-time period. However, due to limited frequency of sampling it is not able to measure subtle changes in the rhythms. The delayed aMT6s acrophase compared to that of plasma MT is presumably due to both hepatic metabolism and renal excretion mechanisms.

A clear phase delay in the alertness rhythm was evident, comparable to that of MT. This may imply a causal relationship as suitably timed MT administration can modify alertness (Arendt et al., 1987). However, in this study it is more likely that the treatment induced a shift in central rhythm generating mechanisms common to both variables. Whilst the contemporary shift in the timing of meals (social zeitgebers) and the sleep/wake cycle may have had some effect, previous work indicates (for review see Eastman, 1990) that bright light has the more powerful rapid phase shifting ability. A significant decline in daily mean alertness was apparent only on the day of the first light treatment. It is likely that this was due to blood sampling the previous night and throughout the day. On all other days bright light treatment, blood sampling and the effects of the phase-shift did not affect the amplitude or daily mean alertness.

Although field studies have the advantage of being able to expose the individual to the whole range of environmental and social time cues, and associated psychological factors, it is expensive and difficult to standardize these influences in a number of subjects, with the collection of biochemical data

an obvious problem. The use of a three-cycle stimulus of

moderate intensity bright light (1200 lux), suitably timed and

coupled with periods of imposed darkness (<I lux) and

sleep, clearly induces significant phase-shifts in a major

endogenous hormonal circadian rhythm (MT) and a major behavioural rhythm (self-rated alertness). It should therefore be possible to simulate circadian rhythm disorders and

related problems such as jetlag and shiftwork, similar to those seen in field studies, in an inexpensive and controlled

environment which is convenient for biochemical sampling

and where the subjects are left in their normal environment for most of the time.

Phase-shifts in melatonin and alertness rhythms 419

Acknowledgements

S. J. Deacon was supported by a studentship from the MRC

with further support from Stockgrand Ltd (University of Surrey, Guildford, Surrey, UK). We would like to thank Dr J. Wright for medical assistance, J. English and B. Middleton for support and help and Dr S. Folkard and P. Totterdell for invaluable analytical advice.

References

Aldous, M. E. & Arendt, J. (1988) Radioimmunoassay for 6-

sulphatoxymelatonin in urine using an iodinated tracer. Annals of Clinical Biochemistry, 25,298-303.

Arendt, J., Aldous, M., English, J., Marks, V., Arendt, J. H., Marks, M. & Folkard, S. (1987) Some effects of jet lag and their alleviation by melatonin. Ergonomics, 30,1379-1393.

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Fraser, S., Cowen, P., Franklin, U., Franey, C. & Arendt, J. (1983) A direct radioimmunoassay for melatonin. Clinical Chemistry, 29, 396-399.

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chronobiologic sleep and mood disorders using appropriately timed bright artificial light. Psychopharmacology Bulletin, 21, 368-437.

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Nickelson, T., Samel, A., Maaß, H., Vejvoda, M., Wegmann, H. & Schöfliing, K. (1991) Circadian patterns of salivary melatonin and urinary 6-OH-melatoninsulphate before and after a9 hour time- shift. In Advances in experimental medicine and biology: kynure- nine and serotonin pathways (eds R. Schwarz, S. N. Young & R. R. Brown), pp. 493-496. Plenum Press, New York.

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Clinical Endocrinology (1994) 40

correlation between serum and salivary melatonin concentrations and urinary 6-hydroxymelatonin sulphate excretion rates: two non-invasive techniques for monitoring circadian rhythmicity. Clinical Endocrinology, 27,445-452.

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ELSEVIER Neuroscience Letters 178 (1994) 32-34 NEUROSCIENCE LETTERS

Acute phase-shifting effects of melatonin associated with suppression of core body temperature in humans

S. Deacon, J. English, J. Arendt* Endocrinology and Metabolism Group, School of Biological Sciences, University of Surrey, Guildford, Surrey GU2 5XH, UK

Received 25 May 1994; Revised version received 29 June 1994; Accepted 6 July 1994

Abstract Appropriately administered melatonin is able to phase shift circadian rhythms, to induce transient sleepiness and to suppress core

body temperature. The relationships between these phenomena have not been fully explored. In a double-blind, placebo-controlled crossover study, 8 healthy males maintained a regular sleep-wake cycle in a natural environment throughout. From dusk until 2400 h on days (D) 1-4 subjects were in dim artificial lighting (< 100 lux) with darkness (< 1 lux) from 2400-0800 h. Sunglasses were worn during the day when outside. At 1700h on D3 either melatonin (5 mg) or placebo was administered. Saliva samples were collected at 30 min intervals, 1600-2400 h on D3 and D4, and subjective alertness rated at 30 min intervals from 1600-2400 h on D3 and hourly from 0800-2400 h D4. Sleep quality was rated on nights 2,3 and 4 and core temperature was recorded throughout. Melatonin induced a significant suppression of temperature and alertness peaking 2.5 h after the dose, together with improved sleep quality on the night of D3 and a phase advance of the endogenous melatonin rhythm on D4. The degree of phase shift was related to the amount of temperature suppression in 6 of 7 subjects with detectable melatonin, suggesting that temperature suppression is an integral part of the phase-shifting mechanism.

Key words: Melatonin; Temperature; Circadian rhythm

The pineal hormone melatonin has been proposed as a treatment for circadian rhythm disorders such as jet lag and maladaptation to shift work [1]. Several reports have indicated that melatonin has both phase-advancing and phase-delaying effects on the internal biological clock [3,6,11,13,14] and that the successful alleviation of dis- turbed sleep and mood associated with a rapid shift of local time cues is accompanied by a quicker adaptation of various circadian rhythms [2,15]. Melatonin also has acute transient effects on body temperature [4,7,9], sub- jective sleepiness [7,9] and the sleep propensity function [16]. The mechanism of action is unknown, but the rhyth- mic electrical activity of the suprachiasmatic nucleus (the, major central rhythm generating system of the hypothal- amus) can be shifted in vitro by melatonin [13]. Human studies have generally used daily timed administration of melatonin to induce a cumulative phase shift [3,11 ]. Only one report to date has considered the acute phase shifting

*Corresponding author. Fax: (44) 483-576 978.

effects of melatonin using its own endogenous rhythm as a phase marker [6]. We report here that even in a normal environment a single oral melatonin treatment can phase-advance its own endogenous rhythm (arguably the best marker of the circadian clock) within 24 h, with a similar tendency in core body temperature, and that this is preceded by immediate suppression of core body tem- perature and subjective alertness. These effects were ac- companied by an improvement in subjective sleep quality.

Eight healthy men aged 23-28 years, taking no medi- cation, were recruited from members of staff and post- graduates of the University of Surrey. All volunteers gave informed consent and the study was approved by the University of Surrey Advisory Committee on Ethics. Except where specified, subjects continued their normal daily activities during the experimental period but re- frained from heavy exercise and alcohol consumption. Melatonin (5 mg) or placebo was administered to all subjects in a randomised, double-blind cross-over study. Each leg of the study began on the same day of the week and was performed over 5 days (D1-D5) with at least a

0304-3940/94/$7.00 © 1994 Elsevier Science Ireland Ltd. All rights reserved SSDI 0304-3940(94)00530-3

Page 396: manipulation of the human circadian system with bright light and melatonin

S. Deacon et al. lNenroscience Leiters 178 (1994) 32-34

week between treatments, during winter at 52°N. Sub- jects were required to keep a regular sleep--wake cycle, sleeping and/or in darkness (< I lux) from 2400 0800 h,

and from dusk (approximately 1630h) until 2400 h they remained in dim artificial lighting (< 100 lux) throughout the experiment. Sunglasses were worn during the day

when outside. Rectal temperature was recorded continu- ously every 6 min using Squirrel Minilogger devices (Grant Instruments, Cambridge, UK) from 0800 h on D2 to 0800 h on D5.

Days I and 2 served to establish a common sleep wake cycle and to accustom subjects to the rectal ther- mometers. On D3 subjects received either a single dose

of oral melatonin (5 mg in lactose-gelatine capsules) or %placebo (vehicle) at 1700 h. From 1600 h on D3 and D4 they remained seated, except for brief (less than 5 min) periods if urination/defecation was necessary. They re- ceived the same standard meal at 2130 h on D3 and D4. At 30 min intervals from 1600 h until 2400 h on D3 and D4 saliva samples were collected after rinsing the mouth with tap water and subjective alertness scores (visual analogue scale-drowsy-alert') were rated. Alertness was also rated hourly from 0800-2400 h on D4. Sleep quality was rated on a visual analogue scale (best ever-worst ever) on awakening for the nights of D2, D3 and D4.

Melatonin was measured in saliva by GCMS-vali- dated radioimmunoassay (limit of detection, 0.95 ± 0.43

pg/ml, mean ± S. D., n= 10) [10]. Differences in core body temperature, alertness and melatonin were assessed by two-way analysis of variance (ANOVA) for repeated measures (factors: time, treatment) and area under the

curve (AUC) analysis followed by Student's paired t-test. The phase of the core body temperature rhythm on D4- 5

was determined by cosinor analysis (program written by Dr. D. S. Minors, University of Manchester, UK) fol-

lowed by paired Student's t-test. The onset of melatonin secretion was determined on D4 and was defined as the time when concentrations exceeded 4 pg/ml, when 2 con- secutive values exceeded this amount. Any relationship between the magnitude of temperature suppression (AUC) and degree of phase shift of melatonin onset time was determined by regression correlation. Differences in

sleep quality between placebo and melatonin, deter-

mined as a percentage of a baseline night (D2) were assessed by paired Student's t-test.

Melatonin clearly induced an acute, transient but sig- jr nificant suppression of body temperature between 1700

and 2400 h and alertness between 1700 and 2100 h (AUC

analysis, paired t-test, P=0.02) (Fig. 1). ANOVA identi- fied a significant treatment effect on temperature be-

tween 1812 and 2030 h (F = 5.02, df = 1,242, P<0.05)

with a mean (±S. D. ) fall in temperature of 0.26 ± 0.19°C, together with a significant fall in alertness by 31.1 ± 1.1% (mean ± S. D. ) between 1700-2130 h (F= 6.67, df = 1,12, P<0.05). Salivary melatonin was undetectable in one subject, however in 7 subjects a sig-

37 .2

320

36 8

36.6

a)

36.4

T b) 100

80

60

40

Placebo Melatonin

;z

217: 00 19: 00 21: 00 23: 00 01: 00

t Melatonin

--6 Mclatonin

-0- Placebo

Time (hour)

Fig. I. Time course of the suppression of core body temperature, meas-

ured every 6 min (a) and subjective alertness measured every 30 min (b) following a single oral administration of melatonin (5 mg) at 1700 h. Temperature, 1700-2400 h, alertness 1700- 2100 h: AUC analysis, paired I-test, P=0.02. Temperature: repeated measures ANOVA be-

tween 1812 and 2030 h, F= 5.02, dl'= 1.242, P<0.05. The following day, onset of mclatonin secretion was advanced after receiving mela- tonin compared to placebo (c), ANOVA, time by treatment, P=0.0078, shift 1.14 ± 11.49 h (mean ± S. D. ). All values are

mean ± S. E. M., n=8 (n =7 for salivary mclatonin).

nilicant time by treatment erect (ANOVA, F=2.73, df= 10,60, P<0.01) was seen, where melatonin ad- vanced the melatonin onset time relative to placebo by

1.14 ± 0.49 h (mean ± S. D. ) on D4, the day following

administration. Melatonin concentrations in saliva reached a maximum at 1730 h in all subjects (4363 ± 2621 pg/m1, mean ± S. D. ), whereas the mini- mum temperature following melatonin administration was found at 1934 h± 49 min (mean ± S. D. ). There was no significant correlation between the individual maxi- mum salivary melatonin concentration and the degree of temperature suppression. A recent report [9] suggests that a dose response relationship exists between the

exogenous dose of melatonin and the amount of temper-

ature suppression. In the present study the limited frequency of saliva sampling precludes accurate correla- tions.

T Time (hour) Meal

Page 397: manipulation of the human circadian system with bright light and melatonin

34 S. Deacon et aL /Neuroscience Letters 178 (1994) 32-34

The distortion of the temperature rhythm by mela- tonin during the evening and night of day 3 invalidates any phase estimates. However the calculated peak time (acrophase) of the temperature rhythm from 0800 h on D4 to 0800 h on D5 also tended to phase advance (acro- phase after placebo, 17.01 ± 1.25 h, after melatonin, 16.18 ± 1.32 h, mean ± S. D., P=0.053). One subject slept, intermittently, for 3h after receiving melatonin and showed an exceptionally large drop in temperature (0.65°C), presumably due to masking. Excluding this subject there was a significant correlation between the magnitude of melatonin-induced temperature suppres- sion from 1812-2030 h and the degree of phase shift in melatonin onset time the following day in 6 subjects with detectable melatonin (r = 0.843, P=0.035). Expressed as a percentage of the baseline night, sleep quality on the night of D3 was improved by 70 ± 52% (mean ± S. D., P<0.05, n= 8) and also showed a tendency to improve (by 50 ± 61%, P=0.053, n= 8) on the night of D4. There were no significant changes in alertness on D4.

The timing of the fall in temperature and alertness correspond closely to the reported increase in sleep pro- pensity after 5 mg melatonin given in the late afternoon [16]. This acute `masking' is followed by a significant advance in the timing of the melatonin onset time in saliva the following evening which may be related to the degree of temperature suppression. The temperature rhythm itself is more susceptible than melatonin to ex- ogenous influences [17]. Thus, whilst it is possible to avoid masking of the melatonin rhythm by control of bright light exposure and posture [8,12], phase shifts in the temperature rhythm may have been obscured in a normal environment. It is clear that acute induction of early evening drowsiness by melatonin does not compro- mise and indeed appears to enhance sleep quality during the subsequent night.

Whilst the maximum of the endogenous melatonin rhythm corresponds closely to the nadir in core body temperature (e. g. [4]), the maximum suppression of tem- perature obtained using a pharmacological dose of mela- tonin in this study occurred approximately 2h after treatment. The observed effect may not therefore be rep- resentative of endogenous mechanisms.

In previous experiments using 5 mg melatonin to has- ten adaptation to phase shift, subjects could not nor- mally distinguish treatment from placebo [2,15]. The acute drowsiness, and in one case intermittent sleep re- corded here, and in recent experiments using even lower doses of melatonin [9], may be related to the experimen- tal conditions whereby subjects seated in a warm room in dim light, or indeed requested to try to sleep, perceive transient sleepiness more clearly than when active.

Cagnacci et al. [4] reported acute suppressant effects of melatonin when given in divided doses in the morning. They and others have provided evidence [5] that mela- tonin counteracts the stimulatory effect of bright light on

body temperature at night. In view of the present results it would not be unreasonable to suggest that the primary event in the induction of a phase shift by bright light or by melatonin is an acute change in body temperature. If this proves to be the case it provides substantial scope for investigation of phase-shifting mechanisms via the cen- tral hypothalamic control of body temperature.

[1] Arendt, J., Clinical perspectives for melatonin and its agonists, Biol. Psychiatry, 35 (1994) 1.

[2] Arendt, J., Aldhous, M., English, J., Marks, V., Arendt, J. H., Marks, M. and Folkard, S., Some effects of jet lag and their alleviation by melatonin, Ergonomics, 30 (1987) 1379-1393.

[3] Arendt, J., Bojkowski, C., Folkard, S., Franey, C., Minors, D., Waterhouse, J., Wever, R. A., Wildgruber, C., Wright, J. and Marks, V., Some effects of melatonin and the control of its secre ll

tion in man. In D. Evered and S. Clark (Eds. ), Ciba Foundation Symposium 117, Photoperiodism, Melatonin and the Pineal, Pitman, London, 1985, pp. 266-283.

[4] Cagnacci, A., Elliott, J. A. and Yen, S. S. C., Melatonin: A major

[51

regulator of the circadian rhythm of core body temperature in humans, J. Clin. Endocrinol. Metab., 75 (1992) 447-452. Cagnacci, A., Soldani, R. and Yen, S. S. C., The effect of light on core body temperature is mediated by melatonin in women, J. Clin. Endocrinol. Metab., 76 (1993) 1036-38.

[6] Claustrat, B., Presented at the Philipe Laudat Conference on Neureobiology of Circadian and Seasonal Rhythms: Animal and Clinical Studies, Strasbourg/Bischenberg, France, 1991.

[7] Dawson, D. and Encel, N., Melatonin and sleep in humans, J. Pineal Res., 15 (1993) 1-12.

[8] Deacon, S. and Arendt, J., Posture influences melatonin concen- trations in plasma and saliva in humans, Neurosci. Lett., 167 (1994) 191-194.

[9] Dollins, A. B., Zhdanova, I. V., Wurtman, R. J., Lynch, H. J. and Deng, M. H., Effect of inducing nocturnal serum melatonin con- centrations in daytime on sleep, mood, body temperature, and performance, Proc. Natl. Acad. Sci. USA, 91 (1994) 1824-1828.

[10] English, J., Middleton, B., Arendt, J. and Wirz-Justice, A., Rapid, direct measurement of melatonin in saliva using an iodinated tracer and solid phase second antibody, Ann. Clin. Biochem., 30 (1993) 415-416.

[11] Lewy, A. J., Ahmed, S., Latham Jackson, J. M. and Sack, R. L., Melatonin shifts human circadian rhythms according to a phase- response curve, Chronobiol. Int., 9 (1992) 380-392.

[12] Lewy, A. J., Wehr, T. A., Goodwin, F. K., Newsome, D. A. and Markey, S. P., Light suppresses melatonin secretion in humans, Science, 210 (1980) 1267-1269.

[13] McCarther, A. J., Gillette, M. U. and Prosser, R. A., Melatonin directly resets the rat suprachiasmatic clock in vitro, Brain Res., 565 (1991) 158-161.

[14] Sack, R. L., Lewy, A. J. and Hoban, T. M., Free-running melatonin rhythms in blind people: phase shifts with melatonin and Tria- zolam administration. In D. Evered and S. Clark (Eds. ), Temporal Disorder in Human Oscillatory Systems, Springer, Heidelberg, ' 1987, pp. 219-224.

[15] Samel, A., Wegman, H. M., Vejvoda, M. and Maas, H., Influence

of melatonin treatment on human circadian rhythmicity before and after a simulated 9 hour time shift, J. Biol. Rhythms, 6 (1991) 235-248.

[16] Tzischinsky, 0., Lavie, P. and Pal, I., Time-dependent effects of 5 mg melatonin on the sleep propensity function, J. Sleep Res., 1 Suppl. 1 (1992) 234.

[17] Wever, R. A., Characteristics of circadian rhythms in human func- tions. In R. J. Wurtman and R. J. Waldhauser (Eds. ), Melatonin in Humans, J. Neural Transm., Suppl. 21 (1986) 323-374.

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Neuroscience Letters, 167 (1994) 191-194 191 © 1994 Elsevier Science Ireland Ltd. All rights reserved 0304-3940/94/$ 07.00

NSL 10234

Posture influences melatonin concentrations in plasma and saliva in humans

Stephen Deacon, Josephine Arendt* Endocrinology and Metabolism Group, School of Biological Sciences, University of Surrey, Guildford, Surrey GU2 SXH, UK

(Received 21 october 1993; Revised version received 8 December 1993; Accepted 10 December 1993)

Key words: Posture; Masking; Melatonin; Circadian rhythm; Saliva

Melatonin is extensively used as a circadian marker rhythm and thus any factors influencing its concentrations other than endogenous rhythmicity must be assessed. We report here the effects of posture on melatonin concentrations in plasma and saliva. The study was performed during the rising phase of the melatonin rhythm between 21: 00 and 01: 30 It. From 23: 00 h, 7 healthy subjects remained sitting until 24: 00 h and in dim light (< 10 lux) until 01: 30 h. From 24: 00 h, they assumed a different postural position in one of the following stages: Stage 1 a: 24: 00-00: 30 It - standing, 00: 30-01: 00 It - supine, 01: 00-01: 30 It - standing; Stage lb - reverse of Stage la, Stage 2a: 24: 00-01: 30 h- supine; and Stage 2b: 24: 00-01: 30 h- standing. Blood and saliva samples were obtained every hour from 21: 00-24: 00 h and then every 10 min from 24: 00-01: 30 It. Plasma and salivary melatonin concentrations, measured by radioimmunoassay, increased when moving from a supine to a standing position and decreased when these positions were reversed. These changes, as seen with other blood components, can be explained through the influence of gravity which causes a decrease in plasma volume on standing and an increase in plasma volume on lying down.

The force of gravity causes significant changes in the human circulatory system and with the continual chang- ing of posture in everyday life the influence of gravity on various blood parameters becomes apparent. In healthy subjects, when an upright position is adopted after lying recumbent (supine), the plasma volume is reduced and the concentration of various plasma components, espe- cially that of the proteins and of the constituents bound to them, increases. This rise in plasma constituent con- centration is in the order of 10-20% (e. g. ref. 7) and the effect is reversible on reversing the postural position. Such studies suggest that other plasma constituents such as hormones and metabolites might show similar changes in plasma levels.

The pineal hormone melatonin is secreted into the blood in a highly stable and reproducible pattern within individuals [2]. The rhythm is endogenous, and governed by an internal circadian pacemaker: the suprachiasmatic nucleus of the hypothalamus. An important feature of melatonin secretion is that, with the exception of light [8], it is less susceptible to behavioural and environmental masking (disturbing) influences, than other overt (meas- ured) circadian rhythms such as core body temperature and cortisol secretion. Masking influences include sleep,

'Corresponding author. Fax: (44) 483-509712.

waking, meals and stress and can result in the unreliable estimation of the circadian time of the internal biological clock. For this reason the melatonin circadian rhythm is thought to provide an appropriate and reliable marker of the endogenous biological horologue under normal con- ditions, as well as in constant routine and in other iso- lated environments.

Although melatonin, a lipophilic molecule, easily fil- ters through capillary membranes, up to 70% of mela- tonin may be weakly bound to albumin [3] which is not readily diffusible, and albumin-bound hormones do not pass into the surrounding tissues [10]. It is therefore pos- sible that a shift in posture may cause a change in plasma melatonin levels. Salivary melatonin is thought to closely reflect the changes in plasma melatonin levels [9] and since saliva is becoming a routine method of determining melatonin secretion it is important to consider the effects of posture on salivary melatonin levels as well. It is the purpose of this investigation to study the possible mask- ing influence of posture on melatonin levels.

Seven healthy volunteers (3M: 4F), aged 24-35 years (26.3 ±4 years, mean ± S. D. ), under no medication (ex- cept oral contraceptives), one of whom was a smoker, were recruited from members of staff and research post- graduates of the University of Surrey. All volunteers gave informed consent and the study was approved by

SSD/ 0304-3940(93)E0858-S

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192

the University of Surrey Advisory Committee on Ethics. They refrained from heavy exercise, drinking alcoholic beverages or those containing caffeine, for 12 h prior to, and during each stage of the study. On each day of the study, the subjects moderated their fluid intake to no more than 1.5L daily.

The 4-day study was divided into two periods (stages I and 2) of 2 days, I week apart, and was performed in October during the rising phase of the melatonin rhythm, between 21: 00 h and 01: 30 h. On all 4 days subjects re- mained in a sitting position under domestic lighting (150-300 lux) from 21: 00 to 23: 00 h. From 23: 00 to 01: 30 h, subjects remained sitting (until 24: 00 h) and awake under dim light (< 10 lux). After this baseline pe- riod, the treatments were applied within each stage as a randomised crossover design. From 24: 00 h, the subjects assumed a different postural position as follows:

Stage la: 24: 00 h- standing, 00: 30 h- supine, 01: 00 h

- standing; Stage 1 b: 24: 00 h- supine, 00; 30 h- standing, 01: 00 h- supine; Stage 2a: 2400-01: 30 h- supine; Stage 2b: 2400-01: 30 h- standing. Brief and slow movement was allowed throughout each stage.

Blood samples (5 ml, collected by dim red torch light

after 23: 00 h; < 10 lux) were taken hourly via an indwell- ing forearm cannula, together with hourly saliva samples (after chewing on parafilm), from 21: 00 to 24: 00 h and then every 10 min from 24: 00 h until 01: 30 h. Only water was allowed just after saliva sampling, to reduce any pos- sible interference with salivary melatonin estimation. Blood samples were collected into lithium heparin tubes

and centrifuged (2,500 xg for 15 min), the plasma sepa- rated within 25 min of collection and stored at -20°C until analysed for melatonin using the method of Fraser

et al. [6]. The interassay coefficients of variation were 12.4%, 9% and 7.3% at 19.4,36.8 and 191 pg/ml (n = 10). The minimum detection limit was 3.8 ± 0.24 pg/ml (mean ± S. E. M. ). Saliva samples were collected into

minivials and stored at -20°C until analysed for mela- tonin using the method of English et al. [5]. The interas-

say coefficients of variation were 16%, 10%, 9% and 6%

at 8.7,20,36 and 58 pg/ml (n = 8). The minimum level of detection was 1.9 ± 0.15 pg/ml (mean ± S. E. M. ).

All plasma and salivary melatonin values were calcu- lated as a percentage change in melatonin levels from the initial point of assuming a different postural position using the subjects as their own controls. Since each stage was of a random crossover design, any differences be- tween standing and supine positions were compared be- tween stages la and lb and between stages 2a and 2b. Area under the curve (AUC) analysis followed by Stu- dent's paired t-tests (two-tailed) were used to identify sig- nificant differences between postures. Paired compari- sons were also made at each 10-min sampling point

120

100

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2400/0 0 20 30/0 10 20 30/0 10 20 30 Time (h/mins)

Fig. 1. Percentage change in A. plasma melatonin and B. salivary mela- tonin levels within 30 min in alternate postural positions from 24: 00 h. Mean ± S. D., n=7. *P < 0.05, **P < 0.01, ***P < 0.001: significant differences between standing and supine positions (stage la (": versus stage lb (Q), paired t-test, two-tailed). Mean difference in melatonin levels (± S. D. ) between standing and supine: 24: 00-00: 30 h (plasma: P<0.05,35.2 ± 21.3%: saliva: P<0.01,42 ± 27%), 00: 30-01: 00 h (plasma: P<0.0 1,33.5 ± 16.2%; saliva: 30.9 ± 34.4%) and 01: 00-01: 30 h (plasma: P<0.01; 36.7 ± 17.5%; saliva: 31.9 ± 44.8%), significance

levels determined from AUC analysis followed by paired t-test.

between standing and supine using Student's paired t- tests (two-tailed). Correlations between plasma and sali- vary melatonin levels were carried out using Pearson's correlation. All values lower than the detection limit of the assay were excluded from the calculations. This cor- responded to 5% of the plasma melatonin data and 6% of the salivary melatonin data. All values are quoted as mean ± S. D. unless stated otherwise.

No subject reported any oral lesion and no blood con- tamination was observed in the saliva samples. All sub- jects completed stage 1. Four subjects completed stage 2 and one further subject completed stage 2a and 60 min of stage 2b.

Fig. 1 shows the percentage change in melatonin levels within 30 min periods in alternate postural positions from 24: 00 h. Changing from standing to supine and back to standing (stage 1 a), and likewise when the posi- tions were reversed (stage 1 b), caused marked differences in percentage change of both plasma and salivary mela- tonin levels. AUC analysis identified significant differ- ences between standing and supine positions with greater

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Time (h/mins) Fig. 2. Individual profiles showing percentage change in plasma melatonin levels over a 90 min period from 24: 00 h. Significant difference (P < 0.01) over 90 min between supine (A, stage 2a ) and standing (0, stage 2b ) positions for plasma melatonin only (n = 4; AUC analysis, paired t-test). Mean difference in melatonin levels ± S. D. -- plasma: 18.6 ± 14.8%, saliva: 25.7 ± 46.3%. The changes in plasma melatonin levels reached significance

(P < 0.05. paired t-test, n= 4) at 20,40,50,60 and 70 min between stages 2a and b.

increases associated with the standing position (Fig. 1). Significant changes between postures were observed within 10 min in all three time periods for plasma mela- tonin, Fig. lA. Differences in salivary melatonin levels between standing and supine positions were less signifi- cant, Fig. 1 B.

Fig. 2 shows the individual profiles for the percentage change in plasma melatonin levels over a 90 min period between stages 2a and 2b. Differences between standing and supine positions were significant for plasma mela- tonin only (P < 0.01) with AUC analysis. The changes in salivary melatonin levels were more variable and proved not to be significant.

Good correlation between plasma and salivary mela- tonin levels was obtained during hourly sampling (r = 0.83, P<0.0001, y=0.59 [± 0.01] x-2 [±1.2]) from 21: 00 to 24: 00 h. Although still highly significant, the correlation between the two melatonin mediums was not as good during short term sampling (r = 0.555, P<0.0001, y=0.23 [± 0.02] x+5.7 [± 0.9]). Salivary

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melatonin levels were estimated to represent 46.2 ± 18.1% and 40.4 ± 18.7% during hourly and 10 min sampling, respectively, of the corresponding plasma levels.

When moving from a supine position to a standing position, blood volume becomes redistributed from the central pool within the chest, to the lower limbs where small molecules pass through the capillary membranes into the interstitial space by diffusion. The plasma vol- ume is reduced, thus increasing the concentration of non- filtrable blood constituents such as red cells, and proteins together with their bound components [7], including al- bumin-bound hormones [10].

The results from this study indicate that changing from the standing to the supine position caused a marked fall in plasma and salivary melatonin levels which was reversed on returning to the standing position once again. When these positions were reversed over the same period of time an opposite effect of similar magnitude was seen. These differences were significant for plasma

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melatonin within 10 min as calculated between stages 1a

and 2b and within 20 min comparing stages 2a and 2b. These changes showed no reliable (P > 0.1) progressive change with time indicating that the changes in plasma melatonin levels associated with the effects of posture were rapid and remained consistent after approximately 20 min. This agrees well with other posture-related stud- ies affecting various blood constituents where little change occurred after 20 min (e. g. ref. 7).

The effects on salivary melatonin levels were more var- iable. This may be associated with frequent and forced sampling (every 10 min) which probably changes sali- vary composition and secretory mechanisms of the gland [4], modifying the true melatonin concentration in saliva. Although the overall proportion of melatonin levels in saliva to plasma, throughout hourly and 10 min sam- pling, remained comparable, the correlation fell consid- erably throughout 10 min sampling.

Abalan et al. [1] recently noted a difference of 32.6% ± 34.3 (mean ± S. D., range: -20% to 94%) in total plasma cortisol - another circadian phase marker - on standing for 40 min compared to remaining supine, during the rising phase of the cortisol rhythm. A similar difference in plasma and salivary melatonin levels was observed in this study even though sampling was more frequent and over different periods of time.

Although considerable interindividual variation was evident, these results indicate that posture has a masking effect on plasma and salivary melatonin levels. Changes due to posture may prove to be important when inter- preting data from subjects in different postural positions, for example, comparing bedridden patients and healthy controls, and may have implications in situations where the body is exposed to other environments where body fluid shifts are also experienced, such as spaceflights, water immersion and exercise. Changes in melatonin and cortisol levels due to posture may alter circadian parame- ters such as daily means and amplitudes and influence- acrophase values. In fact Samel et al. [11] studied the effects on the circadian system of 7 days of bed rest with a constant sleep-wake cycle and a regular photoperiod. Although neither melatonin or cortisol were measured, small changes in rhythm acrophases were evident for noradrenalin, adrenalin, potassium, heart rate and urine volume and significant changes in rhythm amplitudes

were observed. These changes may be attributable to in- activity and posture.

This study indicates the necessity for standardising the timing of blood sampling and indeed saliva sampling with prior knowledge of the postural position and the time in that position. Care should also be taken in the interpretation of results from high frequency saliva sam- pling.

S. Deacon was supported by a studentship from the MRC with further support from Stockgrand Ltd. (Uni- versity of Surrey, Guildford, UK). We would like to thank Dr J. Wright and especially Dr. V. Kulkani for medical assistance, J. English and B. Middleton for help and support.

I Abalan, F., Hui Bon Hoa, A., Guillonneau, D., Ruedas, E., Ca- lache, M., Ellison, W., Rigal, F., Perey, F., Sousselier, M. and Bour- geois, M., Effect of posture on total cortisol plasma concentration, Horm. Metab. Res., 24 (1992) 595-596.

2 Arendt, J., Melatonin (review), Clin. Enäocrinol., 29 (1988) 205- 229.

3 Cardinali, D. P., Lynch, H. J. and Wurtman, R. J., Binding of mela- tonin to human and rat plasma proteins, Endocrinology, 91 (1972) 1213-1218.

4 Dawes, C., Circadian rhythms in human salivary flow rate and composition, J. Physiol., 220 (1972) 529-545.

5 English, J., Middleton, B. A., Arendt, J. and Wirz-Justice, A., Rapid direct measurement of melatonin in saliva using an iodinated tracer and solid phase second antibody, Ann. Clin. Biochem., 30 (1993) 415-416.

6 Fraser, S., Cowen, P., Franklin, U., Franey, C. and Arendt, J., A direct radioimmunoassay for melatonin, Clin. Chem., 29 (1983) 396-399.

7 Hagan, R. D., Diaz, F. J. and Horvath, S. M., Plasma volume changes with movement from supine to standing positions, J. Appl. Physiol., 45(3) (1978) 414-418.

8 Lewy, A. J., Wehr, T. A., Goodwin, F. K., Newsome, D. A. and Markey, S. P., Light suppresses melatonin secretion in humans, Sci- ence, 210 (1980) 1267-1269.

9 Nowak, R., McMillen, I. C., Redman, J. and Short, R. V., The corre- lation between serum and salivary melatonin concentrations and urinary 6-hydroxymelatonin secretion rates: two noninvasive tech- niques for monitoring human circadian rhythmicity, Clin. Endocri- nol., 27 (1987) 445-452.

10 Riad Fahmy, D., Read, G. F., Walker, R. F. and Griffiths, K., Sali- vary progesterone for assessing ovarian function, J. Clin. Chem. Biochem., 19 (1981) 812.

11 Samel, A., Wegmann, H. -M. and Vejvoda, M., Response of the circadian system to 6° head-down tilt bed rest, Aviat. Space. Envi- ron. Med., 64 (1993) 50-54.