Predicting Food–Drug Interactions between Piperine and CYP3A4 Substrate Drugs Using PBPK Modeling

Piperine has been reported to inhibit the enzyme activity of cytochrome P450 (CYP) 3A4. The aim of this study was to develop and validate a physiologically based pharmacokinetic (PBPK) model for piperine and to predict potential food-drug interactions (FDIs) between piperine and CYP3A4 substrate drugs using these models. The PBPK model for piperine was successfully developed and validated. Using this model, FDIs with ten CYP3A4 substrate drugs were simulated. The predicted area under the curve (AUC) ratios (with and without piperine, following a 7-day intake of 20 mg/day) for six drugs were found to exceed 1.25, with significant increases in AUC observed for ritonavir (31%), nifedipine (34%), cyclosporine (35%), triazolam (36%), alfentanil (39%), and simvastatin (59%) in humans. These findings suggest that caution should be exercised when consuming amounts of black pepper equivalent to a daily intake of 20 mg piperine during treatment with CYP3A4 substrate drugs, as it may significantly alter their pharmacokinetics.

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Publication Details

Journal
International Journal of Molecular Sciences
Published
2024-10-11
DOI
https://doi.org/10.3390/ijms252010955
Citations
9
Primary Topic
Piperaceae Chemical and Biological Studies
Type
article
Field-Weighted Citation Impact
4.20
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article

Predicting Food–Drug Interactions between Piperine and CYP3A4 Substrate Drugs Using PBPK Modeling

Jia Liu, Lijuan Zhao, Yingchun Hu, Feifei Lin et al.
9 citations
International Journal of Molecular Sciences
Piperaceae Chemical and Biological Studies
4.20
article

Predicting Food–Drug Interactions between Piperine and CYP3A4 Substrate Drugs Using PBPK Modeling

Jia Liu, Lijuan Zhao, Yingchun Hu, Feifei Lin, Yifan Zhang, Dafang Zhong
article en
9 citations

Abstract

Piperine has been reported to inhibit the enzyme activity of cytochrome P450 (CYP) 3A4. The aim of this study was to develop and validate a physiologically based pharmacokinetic (PBPK) model for piperine and to predict potential food-drug interactions (FDIs) between piperine and CYP3A4 substrate drugs using these models. The PBPK model for piperine was successfully developed and validated. Using this model, FDIs with ten CYP3A4 substrate drugs were simulated. The predicted area under the curve (AUC) ratios (with and without piperine, following a 7-day intake of 20 mg/day) for six drugs were found to exceed 1.25, with significant increases in AUC observed for ritonavir (31%), nifedipine (34%), cyclosporine (35%), triazolam (36%), alfentanil (39%), and simvastatin (59%) in humans. These findings suggest that caution should be exercised when consuming amounts of black pepper equivalent to a daily intake of 20 mg piperine during treatment with CYP3A4 substrate drugs, as it may significantly alter their pharmacokinetics.

International Journal of Molecular SciencesVol. 25(20)
Chinese Academy of Sciences (CN), Shanghai Institute of Materia Medica (CN), University of Chinese Academy of Sciences (CN)
Zero hunger
Openalex Percentile: Top 6%
Piperaceae Chemical and Biological Studies
4.20
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Predicting Food–Drug Interactions between Piperine and CYP3A4 Substrate Drugs Using PBPK Modeling — Jia Liu, Lijuan Zhao, et al. · International Journal of Molecular Sciences (2024) | TGRS Research Map | TGRS