A physiologically ‐based pharmacokinetic/pharmacodynamic modeling approach for drug–drug‐gene interaction evaluation of S‐warfarin with fluconazole
This study provides a whole-body physiologically-based pharmacokinetic/PD (PBPK/PD) model of S-warfarin for predicting the effects of drug–drug−gene interactions on S-warfarin PKs and PDs. The PBPK/PD model of S-warfarin was developed in PK-Sim and MoBi. Drug-depende nt parameters were obtained from the literature or optimized. Of the 34 S-warfarin plasma concentration-time profiles used, 96% predicted plasma concentrations within twofold range compared to observed data. For S-warfarin plasma concentration-time profiles withCYP2C9 genotype, 364 of 386 predicted plasma concentration values (~94%) fell within the twofold of the observed values. This model was tested in DDI predictions with fluconazole as CYP2C9 perpetrators, with all predicted DDI area under the plasma concentration-time curve to the last measurable timepoint (AUClast) ratio within twofold of the observed values. The anticoagulant effect of S-warfarin was described using an indirect response model, with all predicted international normalized ratio (INR) within twofold of the observed values. This model also incorporates a dose-adjustment method that can be used for dose adjustment and predict INR when warfarin is used in combination with CYP2C9 perpetrators.
Source: CPT: Pharmacometrics and Systems Pharmacology - Category: Drugs & Pharmacology Authors: Kuo Geng,
Chaozhuang Shen,
Xiaohu Wang,
Xingwen Wang,
Wenxin Shao,
Wenhui Wang,
Tao Chen,
Hua Sun,
Haitang Xie Tags: ARTICLE Source Type: research
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