High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach

IntroductionThe cytochrome P450 enzyme 3A4 (CYP3A4) mediates numerous drug-drug interactions (DDIs) by inducing the metabolism of co-administered drugs, which can result in reduced therapeutic efficacy or increased toxicity. This study developed and validated a Physiologically Based Pharmacokinetic...

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Main Authors: Cheng-Guang Yang, Tao Chen, Wen-Teng Si, An-Hai Wang, Hong-Can Ren, Li Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Pharmacology
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Online Access:https://www.frontiersin.org/articles/10.3389/fphar.2025.1521068/full
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author Cheng-Guang Yang
Tao Chen
Wen-Teng Si
An-Hai Wang
Hong-Can Ren
Li Wang
author_facet Cheng-Guang Yang
Tao Chen
Wen-Teng Si
An-Hai Wang
Hong-Can Ren
Li Wang
author_sort Cheng-Guang Yang
collection DOAJ
description IntroductionThe cytochrome P450 enzyme 3A4 (CYP3A4) mediates numerous drug-drug interactions (DDIs) by inducing the metabolism of co-administered drugs, which can result in reduced therapeutic efficacy or increased toxicity. This study developed and validated a Physiologically Based Pharmacokinetic (PBPK) model to predict CYP3A4 induction-mediated DDIs, focusing on the early stages of clinical drug development.MethodsThe PBPK model for rifampicin, a potent CYP3A4 inducer, was developed and validated using human pharmacokinetic data. Subsequently, PBPK models for ‘victim’ drugs were constructed and validated. The PBPK-DDI model’s predictive performance was assessed by comparing predicted area under the curve (AUC) and maximum concentration (Cmax) ratioswith empirical data, using both the 0.5 to 2-fold criterion and theGuest criteria.ResultsThe rifampicin PBPK model accurately simulated human pharmacokinetic profiles. The PBPK-DDI model demonstrated high predictive accuracy for AUC ratios, with 89% of predictions within the 0.5 to 2-fold criterion and 79% meeting the Guest criteria. For Cmax ratios, an impressive 93% of predictions were within the acceptable range. The model significantly outperformed the static model, particularly in estimating DDI risks associated with CYP3A4 induction.DiscussionThe PBPK-DDI model is a reliable tool for predicting CYP3A4 induction-mediated DDIs. Its high predictive accuracy, confirmed by adherence to evaluation standards, affirms its reliability for drug development and clinical pharmacology. Future refinements may further enhance its predictive value.
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spelling doaj-art-2e49a3cda54f4d3ea502ffbf48b116da2025-08-20T03:11:22ZengFrontiers Media S.A.Frontiers in Pharmacology1663-98122025-02-011610.3389/fphar.2025.15210681521068High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approachCheng-Guang Yang0Tao Chen1Wen-Teng Si2An-Hai Wang3Hong-Can Ren4Li Wang5Department of General Surgery, Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, ChinaShanghai PharmoGo Co., Ltd., Shanghai, ChinaDepartment of Joint Surgery, Zhengzhou Orthopaedic Hospital, Zhengzhou, ChinaNeurology Department, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, ChinaDepartment of Drug Discovery and Development, GenFleet Therapeutics (Shanghai) Inc., Shanghai, ChinaDepartment of Drug Discovery and Development, GenFleet Therapeutics (Shanghai) Inc., Shanghai, ChinaIntroductionThe cytochrome P450 enzyme 3A4 (CYP3A4) mediates numerous drug-drug interactions (DDIs) by inducing the metabolism of co-administered drugs, which can result in reduced therapeutic efficacy or increased toxicity. This study developed and validated a Physiologically Based Pharmacokinetic (PBPK) model to predict CYP3A4 induction-mediated DDIs, focusing on the early stages of clinical drug development.MethodsThe PBPK model for rifampicin, a potent CYP3A4 inducer, was developed and validated using human pharmacokinetic data. Subsequently, PBPK models for ‘victim’ drugs were constructed and validated. The PBPK-DDI model’s predictive performance was assessed by comparing predicted area under the curve (AUC) and maximum concentration (Cmax) ratioswith empirical data, using both the 0.5 to 2-fold criterion and theGuest criteria.ResultsThe rifampicin PBPK model accurately simulated human pharmacokinetic profiles. The PBPK-DDI model demonstrated high predictive accuracy for AUC ratios, with 89% of predictions within the 0.5 to 2-fold criterion and 79% meeting the Guest criteria. For Cmax ratios, an impressive 93% of predictions were within the acceptable range. The model significantly outperformed the static model, particularly in estimating DDI risks associated with CYP3A4 induction.DiscussionThe PBPK-DDI model is a reliable tool for predicting CYP3A4 induction-mediated DDIs. Its high predictive accuracy, confirmed by adherence to evaluation standards, affirms its reliability for drug development and clinical pharmacology. Future refinements may further enhance its predictive value.https://www.frontiersin.org/articles/10.3389/fphar.2025.1521068/fulldrug interactionsrifampicinCYP3A enzymePBPKpharmacokinetics
spellingShingle Cheng-Guang Yang
Tao Chen
Wen-Teng Si
An-Hai Wang
Hong-Can Ren
Li Wang
High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
Frontiers in Pharmacology
drug interactions
rifampicin
CYP3A enzyme
PBPK
pharmacokinetics
title High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
title_full High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
title_fullStr High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
title_full_unstemmed High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
title_short High-performance PBPK model for predicting CYP3A4 induction-mediated drug interactions: a refined and validated approach
title_sort high performance pbpk model for predicting cyp3a4 induction mediated drug interactions a refined and validated approach
topic drug interactions
rifampicin
CYP3A enzyme
PBPK
pharmacokinetics
url https://www.frontiersin.org/articles/10.3389/fphar.2025.1521068/full
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