Related Experiment Videos
Integrating Clinical Evidence with PBPK Modeling to Assess PPI-Clopidogrel-CYP2C19 Interactions in Chinese ACS
Ya-Xin Liu1,2, Yun Kuang1,2, Jun-Long Ma3
1Center of Clinical Pharmacology, The Third Xiangya Hospital, Central South University, Changsha, China.
Purpose:
The interaction between proton pump inhibitors (PPIs) and clopidogrel in acute coronary syndrome (ACS) patients is mediated by CYP2C19 genetic variants. This study quantitatively assessed their CYP2C19 genotype-dependent impact on clopidogrel pharmacokinetics and pharmacodynamics using clinical data and physiologically based pharmacokinetic/pharmacodynamic (PBPK/PD) modeling.
Methods:
A total of 409 ACS patients from a prospective clinical study were genotyped for CYP2C19 (*1, 2, and 3 alleles) and evaluated for platelet reactivity index (PRI) following clopidogrel therapy, with or without concomitant pantoprazole or lansoprazole use. A PBPK model was developed in PK-Sim, incorporating CYP2C19-specific metabolic pathways, and linked with a pharmacodynamic model of P2Y12 receptor inhibition to simulate the effects of genotypes and PPIs on platelet inhibition.
Results:
In extensive metabolizer individuals, PPI coadministration modestly increased platelet reactivity, while no significant change occurred in poor metabolizers. The PBPK simulations accurately predicted pharmacokinetic parameters, with over 90% of Cmax and AUC values within 0.5-twofold of clinical data. The integrated drug-drug-gene interaction-pharmacodynamic framework effectively captured the active metabolite's exposure and platelet inhibition dynamics.
Conclusions:
These results provide a quantitative understanding of the genotype- and PPI-dependent effects on clopidogrel's pharmacodynamics, offering a tool to personalize therapy in ACS patients.
Related Concept Videos
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance
A recent model describes pravastatin's hepatobiliary excretion, mediated...
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
Effect of Hepatic Disease on Pharmacokinetics: Dose Adjustments Due to Hepatic Impairment
Pharmacogenetics of Phase I Enzymes: Cytochrome P450 Isozymes
Analysis of Population Pharmacokinetic Data
Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu