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Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information

Evaluation of drug interactions is an essential step in the new drug development process. Regulatory agencies, including U.S. Food and Drug Administrations and European Medicines Agency, have been published documents containing guidelines to evaluate potential drug interactions. Here, we have stream...

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Detalles Bibliográficos
Autores principales: Choi, Suein, Yim, Dong-Seok, Bae, Soo Hyeon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society for Clinical Pharmacology and Therapeutics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979758/
https://www.ncbi.nlm.nih.gov/pubmed/35419310
http://dx.doi.org/10.12793/tcp.2022.30.e6
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author Choi, Suein
Yim, Dong-Seok
Bae, Soo Hyeon
author_facet Choi, Suein
Yim, Dong-Seok
Bae, Soo Hyeon
author_sort Choi, Suein
collection PubMed
description Evaluation of drug interactions is an essential step in the new drug development process. Regulatory agencies, including U.S. Food and Drug Administrations and European Medicines Agency, have been published documents containing guidelines to evaluate potential drug interactions. Here, we have streamlined in vitro experiments to assess metabolizing enzyme-mediated drug interactions and provided an overview of the overall process to evaluate potential clinical drug interactions using in vitro data. An experimental approach is presented when an investigational drug (ID) is either a victim or a perpetrator, respectively, and the general procedure to obtain in vitro drug interaction parameters is also described. With the in vitro inhibitory and/or inductive parameters of the ID, basic, static, and/or dynamic models were used to evaluate potential clinical drug interactions. In addition to basic and static models which assume the most conservative conditions, such as the concentration of perpetrators as C(max), dynamic models including physiologically-based pharmacokinetic models take into account changes in in vivo concentrations and metabolizing enzyme levels over time.
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spelling pubmed-89797582022-04-12 Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information Choi, Suein Yim, Dong-Seok Bae, Soo Hyeon Transl Clin Pharmacol Tutorial Evaluation of drug interactions is an essential step in the new drug development process. Regulatory agencies, including U.S. Food and Drug Administrations and European Medicines Agency, have been published documents containing guidelines to evaluate potential drug interactions. Here, we have streamlined in vitro experiments to assess metabolizing enzyme-mediated drug interactions and provided an overview of the overall process to evaluate potential clinical drug interactions using in vitro data. An experimental approach is presented when an investigational drug (ID) is either a victim or a perpetrator, respectively, and the general procedure to obtain in vitro drug interaction parameters is also described. With the in vitro inhibitory and/or inductive parameters of the ID, basic, static, and/or dynamic models were used to evaluate potential clinical drug interactions. In addition to basic and static models which assume the most conservative conditions, such as the concentration of perpetrators as C(max), dynamic models including physiologically-based pharmacokinetic models take into account changes in in vivo concentrations and metabolizing enzyme levels over time. Korean Society for Clinical Pharmacology and Therapeutics 2022-03 2022-03-21 /pmc/articles/PMC8979758/ /pubmed/35419310 http://dx.doi.org/10.12793/tcp.2022.30.e6 Text en Copyright © 2022 Translational and Clinical Pharmacology https://creativecommons.org/licenses/by-nc/4.0/It is identical to the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/).
spellingShingle Tutorial
Choi, Suein
Yim, Dong-Seok
Bae, Soo Hyeon
Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title_full Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title_fullStr Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title_full_unstemmed Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title_short Prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
title_sort prediction of metabolizing enzyme-mediated clinical drug interactions using in vitro information
topic Tutorial
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8979758/
https://www.ncbi.nlm.nih.gov/pubmed/35419310
http://dx.doi.org/10.12793/tcp.2022.30.e6
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