Integrating Clinical Evidence with PBPK Modeling to Assess PPI-Clopidogrel-CYP2C19 Interactions in Chinese ACS Patients
Abstract
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…
How strong is the evidence?
Evidence Hub reads this as a cohort study, done in people. Its evidence level is 3 of 5 (Moderate · trial / cohort / secondary analysis). Trials without a large randomized design, cohorts and secondary analyses give moderate evidence. Reported size: 409 participants or records.
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