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Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine

Metformin is an important antidiabetic drug and often used as a probe for drug–drug interactions (DDIs) mediated by renal transporters. Despite evidence supporting the inhibition of multidrug and toxin extrusion proteins as the likely DDI mechanism, the previously reported physiologically‐based phar...

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Autores principales: Nishiyama, Kotaro, Toshimoto, Kota, Lee, Wooin, Ishiguro, Naoki, Bister, Bojan, Sugiyama, Yuichi
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/PMC6617824/
https://www.ncbi.nlm.nih.gov/pubmed/30821133
http://dx.doi.org/10.1002/psp4.12398
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author Nishiyama, Kotaro
Toshimoto, Kota
Lee, Wooin
Ishiguro, Naoki
Bister, Bojan
Sugiyama, Yuichi
author_facet Nishiyama, Kotaro
Toshimoto, Kota
Lee, Wooin
Ishiguro, Naoki
Bister, Bojan
Sugiyama, Yuichi
author_sort Nishiyama, Kotaro
collection PubMed
description Metformin is an important antidiabetic drug and often used as a probe for drug–drug interactions (DDIs) mediated by renal transporters. Despite evidence supporting the inhibition of multidrug and toxin extrusion proteins as the likely DDI mechanism, the previously reported physiologically‐based pharmacokinetic (PBPK) model required the substantial lowering of the inhibition constant values of cimetidine for multidrug and toxin extrusion proteins from those obtained in vitro to capture the clinical DDI data between metformin and cimetidine.(1) We constructed new PBPK models in which the transporter‐mediated uptake of metformin is driven by a constant membrane potential. Our models successfully captured the clinical DDI data using in vitro inhibition constant values and supported the inhibition of multidrug and toxin extrusion proteins by cimetidine as the DDI mechanism upon sensitivity analysis and data fitting. Our refined PBPK models may facilitate prediction approaches for DDI involving metformin using in vitro inhibition constant values.
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spelling pubmed-66178242019-07-16 Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine Nishiyama, Kotaro Toshimoto, Kota Lee, Wooin Ishiguro, Naoki Bister, Bojan Sugiyama, Yuichi CPT Pharmacometrics Syst Pharmacol Research Metformin is an important antidiabetic drug and often used as a probe for drug–drug interactions (DDIs) mediated by renal transporters. Despite evidence supporting the inhibition of multidrug and toxin extrusion proteins as the likely DDI mechanism, the previously reported physiologically‐based pharmacokinetic (PBPK) model required the substantial lowering of the inhibition constant values of cimetidine for multidrug and toxin extrusion proteins from those obtained in vitro to capture the clinical DDI data between metformin and cimetidine.(1) We constructed new PBPK models in which the transporter‐mediated uptake of metformin is driven by a constant membrane potential. Our models successfully captured the clinical DDI data using in vitro inhibition constant values and supported the inhibition of multidrug and toxin extrusion proteins by cimetidine as the DDI mechanism upon sensitivity analysis and data fitting. Our refined PBPK models may facilitate prediction approaches for DDI involving metformin using in vitro inhibition constant values. John Wiley and Sons Inc. 2019-03-19 2019-06 /pmc/articles/PMC6617824/ /pubmed/30821133 http://dx.doi.org/10.1002/psp4.12398 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
Nishiyama, Kotaro
Toshimoto, Kota
Lee, Wooin
Ishiguro, Naoki
Bister, Bojan
Sugiyama, Yuichi
Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title_full Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title_fullStr Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title_full_unstemmed Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title_short Physiologically‐Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter–Mediated Interactions Between Metformin and Cimetidine
title_sort physiologically‐based pharmacokinetic modeling analysis for quantitative prediction of renal transporter–mediated interactions between metformin and cimetidine
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617824/
https://www.ncbi.nlm.nih.gov/pubmed/30821133
http://dx.doi.org/10.1002/psp4.12398
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