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Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions
Fenebrutinib is a CYP3A substrate and time‐dependent inhibitor, as well as a BCRP and OATP1B transporter inhibitor in vitro. Physiologically‐based pharmacokinetic (PBPK) modeling strategies with the ultimate goal of understanding complex drug‐drug interactions (DDIs) and proposing doses for untested...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306618/ https://www.ncbi.nlm.nih.gov/pubmed/32383787 http://dx.doi.org/10.1002/psp4.12515 |
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author | Chen, Yuan Ma, Fang Jones, Nicholas S. Yoshida, Kenta Chiang, Po‐Chang Durk, Matthew R. Wright, Matthew R. Jin, Jin Yan Chinn, Leslie W. |
author_facet | Chen, Yuan Ma, Fang Jones, Nicholas S. Yoshida, Kenta Chiang, Po‐Chang Durk, Matthew R. Wright, Matthew R. Jin, Jin Yan Chinn, Leslie W. |
author_sort | Chen, Yuan |
collection | PubMed |
description | Fenebrutinib is a CYP3A substrate and time‐dependent inhibitor, as well as a BCRP and OATP1B transporter inhibitor in vitro. Physiologically‐based pharmacokinetic (PBPK) modeling strategies with the ultimate goal of understanding complex drug‐drug interactions (DDIs) and proposing doses for untested scenarios were developed. The consistency in the results of two independent approaches, PBPK simulation and endogenous biomarker measurement, supported that the observed transporter DDI is primarily due to fenebrutinib inhibition of intestinal BCRP, rather than hepatic OATP1B. A mechanistic‐absorption model accounting for the effects of excipient complexation with fenebrutinib was used to rationalize the unexpected observation of itraconazole‐fenebrutinib DDI (maximum plasma concentration (C(max)) decreased, and area under the curve (AUC) increased). The totality of the evidence from sensitivity analysis and clinical and nonclinical data suggested that fenebrutinib is likely a sensitive CYP3A substrate. This advanced PBPK application allowed the use of model‐informed approach to facilitate the development of concomitant medication recommendations for fenebrutinib without requiring additional clinical DDI studies. |
format | Online Article Text |
id | pubmed-7306618 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-73066182020-06-23 Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions Chen, Yuan Ma, Fang Jones, Nicholas S. Yoshida, Kenta Chiang, Po‐Chang Durk, Matthew R. Wright, Matthew R. Jin, Jin Yan Chinn, Leslie W. CPT Pharmacometrics Syst Pharmacol Research Fenebrutinib is a CYP3A substrate and time‐dependent inhibitor, as well as a BCRP and OATP1B transporter inhibitor in vitro. Physiologically‐based pharmacokinetic (PBPK) modeling strategies with the ultimate goal of understanding complex drug‐drug interactions (DDIs) and proposing doses for untested scenarios were developed. The consistency in the results of two independent approaches, PBPK simulation and endogenous biomarker measurement, supported that the observed transporter DDI is primarily due to fenebrutinib inhibition of intestinal BCRP, rather than hepatic OATP1B. A mechanistic‐absorption model accounting for the effects of excipient complexation with fenebrutinib was used to rationalize the unexpected observation of itraconazole‐fenebrutinib DDI (maximum plasma concentration (C(max)) decreased, and area under the curve (AUC) increased). The totality of the evidence from sensitivity analysis and clinical and nonclinical data suggested that fenebrutinib is likely a sensitive CYP3A substrate. This advanced PBPK application allowed the use of model‐informed approach to facilitate the development of concomitant medication recommendations for fenebrutinib without requiring additional clinical DDI studies. John Wiley and Sons Inc. 2020-05-29 2020-06 /pmc/articles/PMC7306618/ /pubmed/32383787 http://dx.doi.org/10.1002/psp4.12515 Text en © 2020 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Research Chen, Yuan Ma, Fang Jones, Nicholas S. Yoshida, Kenta Chiang, Po‐Chang Durk, Matthew R. Wright, Matthew R. Jin, Jin Yan Chinn, Leslie W. Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title | Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title_full | Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title_fullStr | Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title_full_unstemmed | Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title_short | Physiologically‐Based Pharmacokinetic Model‐Informed Drug Development for Fenebrutinib: Understanding Complex Drug‐Drug Interactions |
title_sort | physiologically‐based pharmacokinetic model‐informed drug development for fenebrutinib: understanding complex drug‐drug interactions |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7306618/ https://www.ncbi.nlm.nih.gov/pubmed/32383787 http://dx.doi.org/10.1002/psp4.12515 |
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