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William J. Jusko, Ph.D.Department of Pharmaceutical Sciences
ACoP 03/10/08
Corticosteroid Pharmacological
Effects
⇒ Treatment for Immune Related Diseases- Rheumatoid arthritis - Lupus erythematosus - Bronchial asthma- Organ transplantation
• Immunological Effects– Immunosuppressive– Anti-inflammatory
• Metabolic Effects– Carbohydrate metabolism– Lipid metabolism– Protein metabolism
Adverse Effects⇒ steroid diabetes⇒ abnormal fat distribution⇒ muscle wasting
negative nitrogen balance
Capacity-Limitation Turnover and Homeostasis
Effe
ct, %
Concentration
γγ50
γmax
CECCEE
+•
=
Hill Function
The Law of Mass Action( D + R DR ) and smallquantity of targets leads to capacity-limitations in most responses.
Production LossBiologicalFactor
(R)
RkkdtdR
lossproduction •−=
Both diseases and therapeuticagents often interfere with thehomeostasis in the body resulting from the natural turnover of biological substances or functions.
Page 1 of 10
Giant Rat Experiments: Single- dosing and chronic infusion regimens. PK assessment.Parallel Analysis of Multiple Tissues: Liver, muscle, kidney, fat, etc.Molecular Biology: Gene Arrays and QRTPCR of selected genes.Biochemistry: Measurement of relevant gene products (proteins and enzymes), and signals.Systems Physiology: Blood glucose, insulin, lipid profiles, others…‘Disease’ Models: Diabetes, Arthritis, Pregnancy.Development of Mechanism-Based PK/PD/PG/DISModels. Dhahbi et al, American Journal of Physiology, E352-60 (1999).
Metabolic/Genomic Effects of Corticosteroids
TyrosineAminotransferase
(TAT)
Catabolic Anabolic
Pharmacogenomics: Drugs & Genes & Models
Protein
Drug
DNA
Production Loss
Receptor
±
Production Loss
+
+
R. Ramakrishnan, DC Debois, RR Almon, NA Pyszczynski, and WJ Jusko, J. Pharmacokin. Pharmacodyn. 21: 1-24 (2002).
Fifth-Generation Model for Corticosteroid Pharmacodynamics: Application to Steady-State Receptor Down-Regulation and Enzyme Induction Patterns during Seven-Day Continuous Infusion of Methylprednisolone in Rats
Giant Rat Study
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Methylprednisolone PK/PD/PG in Rats
0 1 2 3 4 5 6 7
10000
1000
100
10
1MPL
Con
cent
ratio
n (n
g/m
l)
Time (hr)
0 4 8 12 16 20 24
DR
(N)
Con
cent
ratio
n(fm
ol/m
g pr
otei
n)
0
100
200
300
400
Time (hr)
0 12 24 36 48 60 72
GR
den
sity
(fm
ole/
mg
prot
ein)
0
200
400
600
800
1000
0 12 24 36 48 60 72
GR
mR
NA
(fm
ole/
gliv
er)
0
10
20
30
40
50
0 4 8 12 16 20 24
TAT
mR
NA
(pm
ole/
gliv
er)
0
1
2
3
4
Time (hr)
0 4 8 12 16 20 24
TAT
Act
ivity
(Δ
A/m
in/m
g pr
otei
n)0
1
2
3
PK GR mRNA TAT mRNA
DR(N) Cytosol GR TAT
Liver WeightSLR
ksLR kdLR
kdeg T
mRNATAT TATS
kdeg
EF
ksynD
DR
kd R (1-Rf) *kre
Rf*kre
kon kT
ks R
mRNARks Rm kd Rm
I(t)
RDR(N)+
Corticosteroid Pharmacogenomics
Fifth-generation modelRamakrishnan et alJPP 21: 1 (2002).
Model EquationsPHARMACOKINETICS tt
P eCeCCD ⋅−⋅− ⋅+⋅== 2121"" λλ
RECEPTOR DYNAMICS
RdRmRm
sRmR mRNAk
NDRICNDRk
dtdmRNA
⋅−⎟⎟⎠
⎞⎜⎜⎝
⎛+
−⋅=)(
)(150
LRmRNAmRNA obsR = 0R
sRmdRm mRNA
kk =
RkRDkNDRkRmRNAkdtdR
dRonrefRsR ⋅−⋅⋅−⋅⋅+⋅= )(
DRkRDkdt
dDRTon ⋅−⋅⋅=
)()( NDRkDRkdt
NdDRreT ⋅−⋅=
dRR
sR kmRNA
Rk ⋅⎟⎟⎠
⎞⎜⎜⎝
⎛= 0
0
Model EquationsLIVER WEIGHT RATIO
LRkNDRSkdt
dLRdLRLRsLR ⋅−⋅+⋅= ))(1(
mRNA DYNAMICS
mRNAkNDRSkdt
dmRNAPsyn ⋅−⋅+⋅= deg))(1(
LRmRNAmRNA obs= 0deg mRNAkksyn ⋅=
TAT DYNAMICS
TATkmRNASkdt
dTATTTATsT ⋅−⋅+⋅= deg)1(
LRTATTAT obs= 0
0
deg mRNATATkk TsT ⋅=
Page 3 of 10
Gene Arrays
0 12 24 36 48 60 72
GR
mR
NA
(fm
ole/
gliv
er)
0
10
20
30
40
50GR mRNA
Time (hr)
GENE TREE: 4373 of 8799 Probe Sets: Filtered based on genes expressed in liver.
EISEN
PLOT
www.sigenetics.comSilicon Genetics Inc.
Pattern Searches:User-Defined ProfilesSelf-Organizing MapsK-Means Clustering
7.0
Filtration System:Low Variability4 ti > 1.54 ti < 0.65
PK/PD Modeling (Adapt II)
Affymetrix Rat Gene Microarray Patterns: 192 / 8799 Genes
Jin JY, Almon RR, Dubois DC, Jusko WJ, JPET 307: 93-109 (2003).
Page 4 of 10
Extracting Global Systems Dynamics of Corticosteroid Genomic Effects in Rat Liver
E Yang, RR Almon, DC DuBois, WJ Jusko, IP Androulakis, JPET, in press (2008).
Genes ‘hashing’ to same integer belong to same cluster. n = 529 genes
Clusters of dynamic response patterns in tissues suggest that a limited array of control processes account for pharmacogenomic effects of steroids.
Baseline versus Chronic versus Acute dosing reveals myriad complexities in gene homeostasis.
Response profiles and PK/PD models offer opportunities to formulate hypotheses regarding factors and mechanisms of genomic effects.
Data available at: http://pepr.cnmcresearch.org/
Page 5 of 10
• Male Rats• Age : 6-9 weeks• Weight: Matched to ~175 g• Induce Arthritis & sacrifice at various times (days
9,12,15,17,19,21,23,25,30,34) up to day 34: for collection of paw tissue, plasma.
• Non-invasive Disease Endpoints: Paw Edema, Body Weight, Bone Mineral Density
• Various dosing regimens of dexamethasone.
Rats with CollagenInduced Arthritis
Justin C. Earp: Trying to gain their trust.
Time (hours post induction)
0 200 400 600 800 1000
2
50
75
100
125
150
175 Arthritic RatsHealthy Controls
Rheumatoid Arthritis: Disease Pathology• Immune Cells
– Migration – Proliferation
• Cyto/Chemo-kines: TNF-α, IL-1β, IL-6, IFN-γ, GM-CSF
• Prostaglandins• Nitric Oxide • Rheumatoid Factor• Edema• Joint Tissue
Erosion:– Bone– Cartilage– Synovial Tissue
Choy HS, et al. (2001) NEJM.
Page 6 of 10
Arthritic
Time (hours post induction)
0.1
1
10
100
1000
10000
10000 200 400 600 8000 200 400 600 800 1000
TNF-αIL-1β
IL-6
Healthy
Neeck G, Renkawitz R, Eggert M 2002.
Cytokines Cell Mol Ther7(2):61-69.
Paw Glucocorticoid Receptor mRNA & Corticosterone in Plasma
Time (hours post induction)
0 200 400 600 800 1000
GR
mR
NA
(ng_
mR
NA
/mg_
Tot
al_R
NA
)
0
100
200
300
400
500
600
700
0 200 400 600 800 1000
Cor
ticos
tero
ne C
once
ntra
tion
(ng/
mL
)
0
100
200
300
400
500
600
700
GR mRNA Corticosterone
Bone Mineral Density by Dual-Energy X-Ray Absorptiometry (Piximus, GE)
Total Femur
Diaphyseal Femur
Metaphyseal Femur
Epiphyseal Femur
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Bone Mineral Density: Femur & Lumbar
0.125
0.150
0.175
0.200
0.225
Bon
e M
iner
al D
ensi
ty (g
/cm
2 )
0.125
0.150
0.175
0.200
0.225
0 200 400 600 8000.075
0.100
0.125
0.150
0.175
Time (hours post induction)
0 200 400 600 8000.075
0.100
0.125
0.150
0.175
Diaphyseal Femur
Epiphyseal Femur
Metaphyseal Femur
Lumbar Vertebrate
Open: Controls; Closed: RA
0 4 8 12 16 20 241
10
100
1000
10000
TIME (hr)
0 4 8 12 16 20 24
IM Dose CT
VT
CP
VP
kA
CLD
CL
(F)
Healthy Rats Arthritic Rats
Doses: 2.25 and 0.225 mg/kg
Time (hours post induction)200 400 600 800 1000
IL-6
mR
NA
(ng_
mR
NA
/mg_
Tot
al_R
NA
)
0
2000
4000
6000
8000
10000
Time (hours post induction)200 300 400 500 600 700 800
IL-1
βm
RN
A(n
g_m
RN
A/m
g_T
otal
_RN
A)
0
50
100
150
200
High Dose: 2.25 mg/kgLow Dose: 0.225 mg/kg Disease Progression
Time (hours post induction)400 450 500 550 600 650 700
TN
F-α
mR
NA
(ng_
mR
NA
/mg_
Tot
al_R
NA
)
0
50
100
150
200
250
DEX PD: Paw Glucocorticoid
Receptor mRNA
DEX PD: Plasma Corticosterone
Time (hours post induction)
200 300 400 500 600 700 800C
ortic
oste
rone
(ng/
mL
)0
100
200
300
400
Time (hours post induction)
200 400 600 800 1000
GR
mR
NA
(ng_
mR
NA
/mg_
Tot
al_R
NA
)
100
200
300
400
500
600
700
Disease ProgressionHigh Dose: 2.25 mg/kg Low Dose: 0.225 mg/kg
Page 8 of 10
Acute & Chronic DEX PD: Paw Edema
Time (hours post induction)
200 400 600 800 1000
2
75
100
125
150
175Chronic: 0.225 mg/kgDisease Progression
Acute: 2.25 mg/kg Acute: 0.225 mg/kg
Time (hours post induction)
0 200 400 600 800
2
0.125
0.150
0.175
0.200
0.225
Chronic DEX PD: Bone Mineral Density
Healthy Rats: ο 0.045 mg/kg, once daily, 7 days (4 rats)Δ 0.225 mg/kg, once daily, 7 days (4 rats)
Arthrtic Rats: • 0.225 mg/kg, once daily, 7 days (6 rats)
Total Femur
DEX RA PD Systems Model
• Dex pharmacokinetics.
• Adrenal suppression by Dex.
• 5th-Gen Receptor/Gene control (Dex, CST).
• RA up-regulation of cytokine mRNA.
• Transductional control of BMD.
• Joint cytokine production of edema.
• Indirect response models for multi-component interactions.
Page 9 of 10
• Assessment of the kinetics and responses of steroids have offered numerous insights intomechanism-based PK/PD/Disease models.
• Drug-alterations of biological systems help probe underlying control steps.
• Models can integrate PK, receptor, gene, physiology, and disease processes.
• Models help formulate or alter hypotheses and design new experiments.
CollaboratorsRichard R. Almon, PhDDebra C. DuBois, PhDIoannis Androulakis, PhDEric Hoffman, PhD
NIH GrantsGM-24211GM-57980GM-67650
PhD Students (Recent)Yu-Nien (Tom) Sun, PhDRohini Ramakrishnan, PhDDonald E. Mager, PhDMahesh Samtani, PhDAna Hazra, PhDZhenling Yao, PhDEric Yang, PhDJustin Earp, PhD
and many previous fellows
and students.
TechniciansNancy A. PyszczynskiSuzette M. Mis
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