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Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach

Acalabrutinib, a selective, covalent Bruton tyrosine kinase inhibitor, is a CYP3A substrate and weak CYP3A/CYP2C8 inhibitor. A physiologically‐based pharmacokinetic (PBPK) model was developed for acalabrutinib and its active metabolite ACP‐5862 to predict potential drug–drug interactions (DDIs). The...

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Autores principales: Zhou, Diansong, Podoll, Terry, Xu, Yan, Moorthy, Ganesh, Vishwanathan, Karthick, Ware, Joseph, Slatter, J. Greg, Al‐Huniti, Nidal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656940/
https://www.ncbi.nlm.nih.gov/pubmed/31044521
http://dx.doi.org/10.1002/psp4.12408
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author Zhou, Diansong
Podoll, Terry
Xu, Yan
Moorthy, Ganesh
Vishwanathan, Karthick
Ware, Joseph
Slatter, J. Greg
Al‐Huniti, Nidal
author_facet Zhou, Diansong
Podoll, Terry
Xu, Yan
Moorthy, Ganesh
Vishwanathan, Karthick
Ware, Joseph
Slatter, J. Greg
Al‐Huniti, Nidal
author_sort Zhou, Diansong
collection PubMed
description Acalabrutinib, a selective, covalent Bruton tyrosine kinase inhibitor, is a CYP3A substrate and weak CYP3A/CYP2C8 inhibitor. A physiologically‐based pharmacokinetic (PBPK) model was developed for acalabrutinib and its active metabolite ACP‐5862 to predict potential drug–drug interactions (DDIs). The model indicated acalabrutinib would not perpetrate a CYP2C8 or CYP3A DDI with the sensitive CYP substrates rosiglitazone or midazolam, respectively. The model reasonably predicted clinically observed acalabrutinib DDI with the CYP3A perpetrators itraconazole (4.80‐fold vs. 5.21‐fold observed) and rifampicin (0.21‐fold vs. 0.23‐fold observed). An increase of two to threefold acalabrutinib area under the curve was predicted for coadministration with moderate CYP3A inhibitors. When both the parent drug and active metabolite (total active components) were considered, the magnitude of the CYP3A DDI was much less significant. PBPK dosing recommendations for DDIs should consider the magnitude of the parent drug excursion, relative to safe parent drug exposures, along with the excursion of total active components to best enable safe and adequate pharmacodynamic coverage.
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spelling pubmed-66569402019-07-31 Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach Zhou, Diansong Podoll, Terry Xu, Yan Moorthy, Ganesh Vishwanathan, Karthick Ware, Joseph Slatter, J. Greg Al‐Huniti, Nidal CPT Pharmacometrics Syst Pharmacol Research Acalabrutinib, a selective, covalent Bruton tyrosine kinase inhibitor, is a CYP3A substrate and weak CYP3A/CYP2C8 inhibitor. A physiologically‐based pharmacokinetic (PBPK) model was developed for acalabrutinib and its active metabolite ACP‐5862 to predict potential drug–drug interactions (DDIs). The model indicated acalabrutinib would not perpetrate a CYP2C8 or CYP3A DDI with the sensitive CYP substrates rosiglitazone or midazolam, respectively. The model reasonably predicted clinically observed acalabrutinib DDI with the CYP3A perpetrators itraconazole (4.80‐fold vs. 5.21‐fold observed) and rifampicin (0.21‐fold vs. 0.23‐fold observed). An increase of two to threefold acalabrutinib area under the curve was predicted for coadministration with moderate CYP3A inhibitors. When both the parent drug and active metabolite (total active components) were considered, the magnitude of the CYP3A DDI was much less significant. PBPK dosing recommendations for DDIs should consider the magnitude of the parent drug excursion, relative to safe parent drug exposures, along with the excursion of total active components to best enable safe and adequate pharmacodynamic coverage. John Wiley and Sons Inc. 2019-05-12 2019-07 /pmc/articles/PMC6656940/ /pubmed/31044521 http://dx.doi.org/10.1002/psp4.12408 Text en © 2019 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. 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-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research
Zhou, Diansong
Podoll, Terry
Xu, Yan
Moorthy, Ganesh
Vishwanathan, Karthick
Ware, Joseph
Slatter, J. Greg
Al‐Huniti, Nidal
Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title_full Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title_fullStr Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title_full_unstemmed Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title_short Evaluation of the Drug–Drug Interaction Potential of Acalabrutinib and Its Active Metabolite, ACP‐5862, Using a Physiologically‐Based Pharmacokinetic Modeling Approach
title_sort evaluation of the drug–drug interaction potential of acalabrutinib and its active metabolite, acp‐5862, using a physiologically‐based pharmacokinetic modeling approach
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6656940/
https://www.ncbi.nlm.nih.gov/pubmed/31044521
http://dx.doi.org/10.1002/psp4.12408
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