Key result
A developed PBPK-PD model successfully predicted clopidogrel active metabolite exposure and anti-platelet effects, showing that diabetes-induced clopidogrel resistance is primarily driven by increased CES1 activity and decreased CYP2C19 activity.
Why the study?
CAD patients with or without diabetes often experience clopidogrel resistance, particularly those with diabetes.
A developed PBPK-PD model successfully predicted clopidogrel pharmacokinetics and pharmacodynamics, suggesting that clopidogrel resistance in diabetes is an integrated effect of altered gastrointestinal transit, CYP2C19, CYP3A4, CES1, and platelet response.
Supports mechanism-based personalization of antiplatelet therapy in diabetes; leaves open whether modulating CES1 or CYP2C19 improves outcomes.
Background and Objective: Clopidogrel (CLOP) is commonly used in coronary artery disease (CAD) patients with or without diabetes (DM), but these patients often suffer CLOP resistance, especially those with diabetes. This study was aimed to develop a physiologically-based pharmacokinetic-pharmacodynamic (PBPK-PD) model to describe the pharmacokinetics and pharmacodynamics of clopidogrel active metabolite (CLOP-AM) in CAD patients with or without DM. Methods: The PBPK-PD model was first established and validated in healthy subjects and then in CAD patients with or without DM. The influences of CYP2C19, CYP2C9, CYP3A4, carboxylesterase 1 (CES1), gastrointestinal transit rates ( K t,i ) and platelets response to CLOP-AM ( k irre ) on predicted pharmacokinetics and pharmacodynamics were investigated, followed with their individual and integrated effects on CLOP-AM pharmacokinetics due to changes in DM status. Results: Most predictions fell within 0.5–2.0 folds of observations, indicating successful predictions. Sensitivity analysis showed that contributions of interested factors to pharmacodynamics were CES1> k irre > K t,i > CYP2C19 > CYP3A4> CYP2C9. Mimicked analysis showed that the decreased exposure of CLOP-AM by DM was mainly attributed to increased CES1 activity, followed by decreased CYP2C19 activity. Conclusion: The pharmacokinetics and pharmacodynamics of CLOP-AM were successfully predicted using the developed PBPK-PD model. Clopidogrel resistance by DM was the integrated effects of altered K t,i , CYP2C19, CYP3A4, CES1 and k irre .
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Xu et al. (2020) studied Coronary artery disease with or without diabetes. Clopidogrel vs. Healthy subjects or CAD patients without diabetes was evaluated on Prediction accuracy of clopidogrel active metabolite pharmacokinetics and pharmacodynamics (inhibition of platelet aggregation). A developed PBPK-PD model successfully predicted clopidogrel active metabolite exposure and anti-platelet effects, showing that diabetes-induced clopidogrel resistance is primarily driven by increased CES1 activity and decreased CYP2C19 activity.
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