in vitro and in vivo metabolism of repaglinide: modeling clinically- relevant drug-drug interactions...
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In vitro and in vivo metabolism of repaglinide: Modeling clinically-relevant drug-drug interactions
Joanna Barbara, Ph.D.Director of Analytical Services, XenoTech LLC.Pacific Northwest Biosciences Winter Seminar
March 3, 2014
XenoTech’s integrated service capabilities
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dependent inhibition(MDI or TDI) Mechanistic studies (direct or MDI)
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BioanalyticalNon-GLP Bioanalysis
GLP and non-GLP in vitro study support
2Products
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Overview
• Enzymatic biotransformation and drug-drug interactions
• Introduction to repaglinide and project background– Repaglinide as a probe substrate
• Investigating mechanism of drug-drug interactions– In vitro metabolism
• Evaluating rat as a preclinical model– In vivo metabolism
• Conclusions
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Enzymatic biotransformation of drugs
• Cytochrome P450 (CYP) enzymes are responsible for biotransformation of ~70% hepatically-cleared drugs
CYP
UGT
esterase
FMO
NAT
MAO
Hepatic clearance route by enzyme type
Data adapted from: Cassarett and Doull’s Toxicology (2001) C. Klaassen (Ed), New York, NY: McGraw-Hill
CYP
UGT
Esterase
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Drug-drug interactions (DDI)
• Altered enzymatic biotransformation can lead to clinically-relevant drug-drug interactions between co-administered drugs, a key safety consideration
• In preclinical drug development, DDI risk is assessed by evaluating– Major clearance routes (e.g., mass balance, CYP phenotyping)
– Enzyme inhibition potential– Enzyme induction potential– Transporter involvement and inhibition potential
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Cytochrome P450 inhibition
• CYP inhibition has potential to result in– Black box label warnings– Withdrawal from market
Mibefradil: withdrawn 1998 (perpetrator drug)
Mibefradil inhibits CYP3A4 and can cause elevated levels of coadministered drugs cleared by these enzymes. Life-threatening interactions can occur with b-blockers and other antihypertensives
FN
NN
H
O O
O
OH
N
Terfenadine: withdrawn 1997 (victim drug)
Co-administration with CYP3A4 inhibitors (e.g., ketoconazole) reduced clearance of the drug and resulted in cardiotoxicity caused by terfenadine accumulation
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• Repaglinide is an insulin secretagogue used to normalize postprandial hyperglycemia in patients with type 2 diabetes
• Major human metabolite in vivo is the dicarboxylic acid (van Heiningen et. al., 1999)
• Other oxidative metabolites and glucuronide conjugate
NH
NH O
CH3
CH3 O CH3
OH
O
OH
O
Repaglinide uses
N
NH O
CH3
CH3 O CH3
OH
O
Repaglinide Dicarboxylic acid (M2)
van Heiningen et al. Eur, J. Clin. Pharmacol. Exp. Ther. 1999; 55(7): 521-525.
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• Major biotransformation routes described (Bidstrup et al., 2003)
Repaglinide metabolism
Bidstrup et al. Br. J. Clin. Pharmacol. 2003; 56: 305-314.
CYP2C8 metabolism
M0-OHM4
CYP3A4 metabolism
M1M2M5
CYP2C8 probe
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Repaglinide M4 formation and antibody inhibition
Bidstrup et al. Br. J. Clin. Pharmacol. 2003; 56: 305-314.
Roles for CYP2C8 CYP3A4
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Repaglinide metabolized by CYP3A4/2C8 and UGT1A1
• Repaglinide therefore has potential for DDIs with other drugs cleared hepatically by CYP3A4 and 2C8 and UGT1A1
• According to the University of Washington Drug Interaction Database, repaglinide is known for interactions with 10 drugs– Flucloxacillin and rifampin cause increased CL– Gemfibrozil, clarithromycin, cyclosporine,
deferasirox, telithromycin, itraconazole, trimethoprim cause >40% increase in AUC
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Gemfibrozil and repaglinide
• Type 2 diabetics have 2-4-fold increased risk of macrovascular disease
• Gemfibrozil is used to reduce triglycerides (TG) in patients with certain dyslipidemias– Almost 30% TG reduction in diabetics compared to
placebo group
• In patients concommitant administration has resulted in up to 8-fold plasma increase in repaglinide– Reports of severe, prolonged hypoglycemia
Backmann et al. Drug Metab. Dispos. 2009; 37(12): 2359-66.
Vinik and Colwell Diabetes Care 1993; 16(1): 37-44.
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Gemfibrozil dosing and pharmacokinetics
• Gemfibrozil usually dosed at 600 mg twice a day or less commonly 900 mg once daily
• PK parameters after a single oral dose
Rouini et al. Int. J. Pharmacol. 2006; 2: 75-78.
Parameter 600 mg dose 900 mg dose
Cmax (µg mL-1) 28.8 ± 4.1 40.8 ± 12.6
tmax (h) 1.8 ± 0.8 1.8 ± 0.8
AUC0-8 (µg h mL-1) 80.3 ± 10.3 132.1 ± 35.3
CL (L-1) 7.1 ± 0.9 6.6 ± 1.6
Vd (L-1) 11.6 ± 2.1 12.5 ± 3.4
t1/2 (h) 1.1 ± 0.2 1.3 ± 0.1
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Gemfibrozil metabolism
• Metabolized in liver to 4 major metabolites but the glucuronide metabolite is a potent CYP2C8 inhibitor
Baer et al. Chem. Res. Toxicol. 2009; 22(7): 1298-1309.
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In vitro experiments with repaglinide
• Initially worked to establish a simple CYP2C8 assay in vitro to complement the in vivo application of repaglinide
• Noted discrepancies using reference material potential issues with some of the analytical work described in the literature
• Subsequently needed to re-establish the specificity of the CYP2C8/CYP3A4 metabolism
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• High-resolution LC UV chromatogram (254 nm)HLM-30 min
Time6.00 8.00 10.00 12.00 14.00 16.00
AU
-1.0e-3
0.0
1.0e-3
2.0e-3
3.0e-3
4.0e-3
5.0e-3
6.0e-3
7.0e-3
8.0e-3
9.0e-3
RD117007_MSE_05Apr12_008 Sb (3,40.00 ); Sm (SG, 40x1) 4: Diode Array 254
Range: 1.102e-28.72
17.62
17.24
Repaglinide in human liver microsomes (HLM)
50 mM Repaglinide0.5 mg/mL HLM30 minutes; 37°C; pH 7.4NADPH-generating system
Repaglinide
Hydroxyrepaglinide (M4)
Repaglinide desaturationmetabolites
Repaglinide dicarboxylic acid metabolite (M2)
Unlabeled peaks are not related to repaglinide
Major in vivo metabolite
Probe metabolite
Low abundance High abundance
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Repaglinide human liver microsome metabolite profile
Component tr (min) m/z value
Mass error (ppm)
Mass shift
Proposed biotransformation
M0-OH 5.48 469.2693 -1.9 +15.9940 Hydroxylation
C1 5.94 451.2590 -0.2 -2.0156 Dehydrogenation
C2 6.83 441.2369 4.7 -12.0384 O-deethylation + hydroxylation
M4 7.50 469.2700 -0.4 +15.9947 Hydroxylation
M1 7.95 385.2112 -3.9 -68.0641 N,N-didealkylation
M5 8.26 425.2436 -4.5 -28.0317 O-deethylation
Repaglinide 8.98 453.2738 -3.3 -0.0015 None
C3 10.09 471.2848 -0.9 +18.0095 Hydroxylation+ reduction
M2 10.30 485.2642 -5.1 +31.9889 N-dealkylation + oxidation to the carboxylic acid
C4 16.09 451.2583 -3.1 -2.0170 Dehydrogenation
C5 17.23 451.2591 -1.3 -2.0162 Dehydrogenation
C6 17.52 451.2599 0.4 -2.0154 Dehydrogenation
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0
20
40
60
80
100
Perc
enta
ge o
f max
imum
re
mai
ning
(%)
Recombinant CYP panel for repaglinide substrate loss
• Incubating drug with individual enzymes can help narrow down enzymes involved in metabolism
• Complicated by involvement of enzymes that would not be involved in a more complete test system
Substrate loss10 mM repaglinide10 pmol/inc rCYP20 minutes35°C; pH 7.4
CYP3A4?
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Inhibition experiments for CYP reaction phenotyping
• Simple test system to minimize variables– HLM for cytochrome P450-mediated M0-OH, M1, M2, M4
and M5
• Use known chemicals (or antibodies) to inhibit specific enzymes– Mibefradil for CYP3A4 (metabolism-dependent)– Gemfibrozil glucuronide for CYP2C8 (metabolism-
dependent)
• Assess the effect of the presence/absence of the inhibitor on formation of the metabolite of interest
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Selecting appropriate conditions for inhibition experiments
• Initial-rate conditions desirable
20
0
10
20
30
40
50
60
70
80
90
100
110
C1 (M0-OH) C4 (M4) C5 (M1) C7 (M5) C11 (M2)
Perc
enta
ge o
f co
ntro
l (%
)
Repaglinide metabolite
No inhibitor
Mibefradil
Gemfibrozil glucuronide
Metabolism-dependent CYP2C8 and 3A4 inhibition
3A42C8 Less clear
M0-OH M4 M5 M1 M2
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Correlation data for major metabolites with HLM donor panel
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Exploring the interaction further
• Nonclinical species have very limited use in modeling human DDIs
• One major challenge is species differences in protein expression and function (e.g., enzyme specificity)
• Rodent studies occur early on for most drugs• Rat is not a good model for drugs cleared by CYP3A4
– Ortholog CYP3A1 has limited similarity and little overlap in function
• The rat ortholog for CYP2C8 is CYP2C22 which has demonstrated some very similar properties
• Could this DDI be modeled in the rat?
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In vivo experiments in the rat (Xenometrics/XenoTech)
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Repaglinide PK data in rat (n = 3 per group)
• AUC increase in group 1 animals
• Gemfibrozil concentrations 16 – 125 µg mL-1
Group 1: Gemfibrozil + repaglinide
Group 2: Repaglinide only
Repa
glin
ide
plas
ma
conc
entr
ation
(ng/
mL)
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Repaglinide PK data in rat (n = 3 per group)
• Clear evidence of drug-drug interaction between gemfibrozil and repaglinide in Group 1 animals
Parameter Group 1 Group 2 Fold-change
Cmax (ng mL-1) 284.1 ± 85.2 66.2 ± 6.9 4.3-fold increase
tmax (h) 1.7 ± 0.6 1.2 ± 0.7 1.4-fold increase
AUC0-12 (ng h mL-1) 853.9 ± 344.7 242.8 ± 32.5 3.5-fold increase
AUC0-∞ (ng h mL-1) 837.5 ± 337.0 282.1 ± 43.5 3.0-fold increase
CLobs (L h-1 kg-1) 1299.3 ± 522.9 3622.0 ± 589.6 2.8-fold decrease
Vdobs (L kg-1) 5158.6 ± 3397.4 13154.8 ± 2483.3 2.6-fold decrease
t1/2 (h) 2.6 ± 0.8 2.6 ± 0.6 None
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Repaglinide rat plasma (AUC pool) metabolite profile
Component tr (min) m/z Proposed biotransformation Group 1
Group 2
RP1 3.10 441 O-Deethylation + hydroxylation + +
M0-OH 5.58 469 Hydroxylation + ND
RP2 5.78 469 Oxidation + ND
Repaglinide glucuronide 7.17 629 Glucuronidation + +
M4 7.42 469 Hydroxylation ND ND
M1 7.81 385 N,N-Didealkylation ND ND
RP3 7.87 441 O-Deethylation + hydroxylation + ND
M5 8.30 425 O-deethylation + +
RP4 8.59 451 Dehydrogenation + ND
RP5 8.59 469 Oxidation + NDRepaglinide 8.89 453 None + +
C3 9.74 471 Hydroxylation+ reduction + ND
M2 10.12 485 N-dealkylation + oxidation to the carboxylic acid
+ ND
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Relative abundance of major human metabolites
• Very low abundance metabolites in plasma• Limited plasma sample volume
0%10%20%30%40%50%60%70%80%90%
100%
Perc
enta
ge o
f ob
serv
ed m
axim
um (
%) Plasma
Group 1
Group 2
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Bile metabolite profiles (0-12 h pools)
• Repaglinide predominantly excreted in bile in humans– 90% excreted in feces; 8 % excreted in urine
• Rat bile profiles contained 49 metabolites across the two groups– Oxidative metabolism– Glucuronidation– Sulfonation
• Initial focus has to be on metabolites of interest
van Heiningen et al. Eur, J. Clin. Pharmacol. Exp. Ther. 1999; 55(7): 521-525.
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Exploring the CYP inhibition in bile
• Relative abundance of CYP2C8 (in human) metabolites decreased (~65%) with gemfibrozil dosing
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
M0-OH M4
Perc
enta
ge o
f ob
serv
ed m
axim
um (
%)
Group 1
Group 2
30
Relative abundance of major human metabolites
• All of them decreased with gemfibrozil dosing
• Not characteristic of a specific CYP inhibition interaction
0%10%20%30%40%50%60%70%80%90%
100%
Perc
enta
ge o
f m
axim
um o
bser
ved
(%) Bile
Group 1
Group 2
31
Urine metabolite profiles (0-12 h pools)
• Huge differences between the treatment groups– Without gemfibrozil treatment, only 7 metabolites– With gemfibrozil treatment, 27 metabolites
Component tr
(min)m/z Proposed
biotransformationGroup 1 Group 2
M0-OH 5.58 469 Hydroxylation + ND
Repaglinide glucuronide 7.17 629 Glucuronidation + ND
M4 7.42 469 Hydroxylation + ND
M1 7.83 385 N,N-Didealkylation + +
M5 8.30 425 O-Deethylation + ND
Repaglinide 8.89 453 None + +
M2 10.12 485 N-dealkylation + oxidation to the carboxylic acid
+ +
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Metabolite abundance in the urine
• Even the metabolites detected in Group 2 urine are present at relatively low abundance
0%10%20%30%40%50%60%70%80%90%
100%
Perc
enta
ge o
f m
axim
um o
bser
ved
(%) Urine
Group 1
Group 2
33
Biliary vs urinary excretion
• Gemfibrozil increases urine and decreases bile excretion
• Why?
0102030405060708090
100
Perc
enta
ge o
f to
tal m
ater
ial (
%)
Group 1
Bile
Urine
0102030405060708090
100
Perc
enta
ge o
f to
tal m
ater
ial (
%) Group 2
Bile
Urine
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Systemic effects of gemfibrozil
• Metabolism-dependent CYP2C8 inhibitor– Does not seem to account for all the metabolic profile
changes– As yet, do not have evidence of CYP2C22 inhibition
• UGT1A1 inhibitor– Repaglinide glucuronidation occurs at least in part through
1A1 mediation– Would not explain other effects
• OATP1B1 (SLCO1B1) hepatic uptake transporter inhibitor– Would severely reduce abundance of all metabolites in bile– May also account for increased urinary excretion in Group 1
Gan et al. Br. J. Pharmacol. 2010; 70(6): 870-80.
Nakagomi-Hagihara et al. Xenobiotica 2007; 37(5): 474-486.
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Human and rat OATPs
• Human OATP1B1 inhibition has been described as a confounding factor in the repaglinide/gemfibrozil DDI
• OATP1B family comprises OATP1B1 and 1B3• Only rodent ortholog for OATP1Bs is Oatp1b2
– Functions similarly to both – Mice deficient in Oatp1b2 have shown some utility as
models for OATP1B studies
Kudo et al. Drug Metab. Dispos. 2012; 41(2): 362-371.
• Repaglinide PK has been shown to correlate with OATP1B1 polymorphism
Kallioski et al. Br. J. Clin. Pharmacol. 2008; 66(6): 818-825.
Niemi et al. Clin. Pharmacol. Ther. 2005; 77(6): 468-478.
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Back to the PK data
• The observed clearance, volume of distribution and t1/2 data do support the transporter hypothesis
Parameter Group 1 Group 2 Fold-change
Cmax (ng mL-1) 284.1 ± 85.2 66.2 ± 6.9 4.3-fold increase
tmax (h) 1.7 ± 0.6 1.2 ± 0.7 1.4-fold increase
AUC0-12 (ng h mL-1) 853.9 ± 344.7 242.8 ± 32.5 3.5-fold increase
AUC0-∞ (ng h mL-1) 837.5 ± 337.0 282.1 ± 43.5 3.0-fold increase
CLobs (L h-1 kg-1) 1299.3 ± 522.9 3622.0 ± 589.6 2.8-fold decrease
Vdobs (L kg-1) 5158.6 ± 3397.4 13154.8 ± 2483.3 2.6-fold decrease
t1/2 (h) 2.6 ± 0.8 2.6 ± 0.6 None
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Next experiments
• Still have untapped potential in the liver samples• They were flash frozen so cannot do
hepatocyte/transporter work• Plan to make microsomes and measure CYP/UGT
activities to explore the inhibition independently– CYP2C8/CYP3A4– UGT1A1/1A3 (more complicated)
• Transporter work will need to be done in vitro– Clear evidence of uptake interactions– Efflux transporter issues may also be involved
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Conclusions
• Individual CYP inhibition effects can be modeled well in vitro; repaglinide does seem to have CYP2C8/2C22-specific metabolites but not necessarily as expected
• More complete systems have both advantages and disadvantages
• In the case of gemfibrozil and repaglinide, transporter inhibition appeared to be much more involved in PK changes than CYP inhibition– Still some work to be done
• Rodent utility in transporter studies needs further study
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Acknowledgements
• XenoTech– Phyllis Yerino– Forrest Stanley– Dr. Sylvie Kandel– Seema Muranjan– Chandra Kollu– Dr. David Buckley– Brian Ogilvie
• Xenometrics– Dr. Kristin Russell– Tom Haymaker
Thank you
Questions?
Joanna Barbara, Ph.D.Division Director, Analytical Services
XenoTech, [email protected]
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