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Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling
Plasma concentrations of dabigatran, an active principle of prodrug dabigatran etexilate (DABE), are increased by renal impairment (RI) or coadministration of a P‐glycoprotein inhibitor. Because the combined effects of drug–drug interactions and RI have not been evaluated by means of clinical studie...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389344/ https://www.ncbi.nlm.nih.gov/pubmed/30659778 http://dx.doi.org/10.1002/psp4.12382 |
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author | Doki, Kosuke Neuhoff, Sibylle Rostami‐Hodjegan, Amin Homma, Masato |
author_facet | Doki, Kosuke Neuhoff, Sibylle Rostami‐Hodjegan, Amin Homma, Masato |
author_sort | Doki, Kosuke |
collection | PubMed |
description | Plasma concentrations of dabigatran, an active principle of prodrug dabigatran etexilate (DABE), are increased by renal impairment (RI) or coadministration of a P‐glycoprotein inhibitor. Because the combined effects of drug–drug interactions and RI have not been evaluated by means of clinical studies, the decision of DABE dosing for RI patients receiving P‐glycoprotein inhibitors is empirical at its best. We conducted virtual drug–drug interactions studies between DABE and the P‐glycoprotein inhibitor verapamil in RI populations using physiologically based pharmacokinetic modeling. The developed physiologically based pharmacokinetic model for DABE and dabigatran was used to predict trough dabigatran concentrations in the presence and absence of verapamil in virtual RI populations. The population‐based physiologically based pharmacokinetic model provided the most appropriate dosing regimen of DABE for likely clinical scenarios, such as drug–drug interactions in this RI population based on available knowledge of the systems changes and in the absence of actual clinical studies. |
format | Online Article Text |
id | pubmed-6389344 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63893442019-03-07 Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling Doki, Kosuke Neuhoff, Sibylle Rostami‐Hodjegan, Amin Homma, Masato CPT Pharmacometrics Syst Pharmacol Research Plasma concentrations of dabigatran, an active principle of prodrug dabigatran etexilate (DABE), are increased by renal impairment (RI) or coadministration of a P‐glycoprotein inhibitor. Because the combined effects of drug–drug interactions and RI have not been evaluated by means of clinical studies, the decision of DABE dosing for RI patients receiving P‐glycoprotein inhibitors is empirical at its best. We conducted virtual drug–drug interactions studies between DABE and the P‐glycoprotein inhibitor verapamil in RI populations using physiologically based pharmacokinetic modeling. The developed physiologically based pharmacokinetic model for DABE and dabigatran was used to predict trough dabigatran concentrations in the presence and absence of verapamil in virtual RI populations. The population‐based physiologically based pharmacokinetic model provided the most appropriate dosing regimen of DABE for likely clinical scenarios, such as drug–drug interactions in this RI population based on available knowledge of the systems changes and in the absence of actual clinical studies. John Wiley and Sons Inc. 2019-02-25 2019-02 /pmc/articles/PMC6389344/ /pubmed/30659778 http://dx.doi.org/10.1002/psp4.12382 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/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 Doki, Kosuke Neuhoff, Sibylle Rostami‐Hodjegan, Amin Homma, Masato Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title | Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title_full | Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title_fullStr | Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title_full_unstemmed | Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title_short | Assessing Potential Drug–Drug Interactions Between Dabigatran Etexilate and a P‐Glycoprotein Inhibitor in Renal Impairment Populations Using Physiologically Based Pharmacokinetic Modeling |
title_sort | assessing potential drug–drug interactions between dabigatran etexilate and a p‐glycoprotein inhibitor in renal impairment populations using physiologically based pharmacokinetic modeling |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389344/ https://www.ncbi.nlm.nih.gov/pubmed/30659778 http://dx.doi.org/10.1002/psp4.12382 |
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