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Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics

Quantitative prediction of the magnitude of transporter‐mediated clinical drug‐drug interactions (DDIs) solely from in vitro inhibition data remains challenging. The objective of the present work was to analyze the kinetic profile of an endogenous biomarker for organic anion‐transporting polypeptide...

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Autores principales: Yoshida, Kenta, Guo, Cen, Sane, Rucha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118294/
https://www.ncbi.nlm.nih.gov/pubmed/29924471
http://dx.doi.org/10.1002/psp4.12315
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author Yoshida, Kenta
Guo, Cen
Sane, Rucha
author_facet Yoshida, Kenta
Guo, Cen
Sane, Rucha
author_sort Yoshida, Kenta
collection PubMed
description Quantitative prediction of the magnitude of transporter‐mediated clinical drug‐drug interactions (DDIs) solely from in vitro inhibition data remains challenging. The objective of the present work was to analyze the kinetic profile of an endogenous biomarker for organic anion‐transporting polypeptides 1B (OATP1B), coproporphyrin I (CPI), and to predict clinical DDIs with a probe OATP1B substrate (pravastatin) based on “in vivo” inhibition constants (K(i)). The CPI kinetics in the presence and absence of strong and weak OATP1B inhibitors (rifampin and GDC‐0810) were described well with a one‐compartment model, and in vivo K(i) were estimated. Clinical DDIs between pravastatin and these inhibitors were predicted using physiologically based pharmacokinetic (PBPK) models coupled with the estimated in vivo K(i) and predicted magnitude matched well with the observed DDIs. In conclusion, model‐based analysis of the CPI profile has the potential to quantitatively predict liability of a new molecular entity (NME) as an OATP1B inhibitor early in drug development.
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spelling pubmed-61182942018-09-04 Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics Yoshida, Kenta Guo, Cen Sane, Rucha CPT Pharmacometrics Syst Pharmacol Research Quantitative prediction of the magnitude of transporter‐mediated clinical drug‐drug interactions (DDIs) solely from in vitro inhibition data remains challenging. The objective of the present work was to analyze the kinetic profile of an endogenous biomarker for organic anion‐transporting polypeptides 1B (OATP1B), coproporphyrin I (CPI), and to predict clinical DDIs with a probe OATP1B substrate (pravastatin) based on “in vivo” inhibition constants (K(i)). The CPI kinetics in the presence and absence of strong and weak OATP1B inhibitors (rifampin and GDC‐0810) were described well with a one‐compartment model, and in vivo K(i) were estimated. Clinical DDIs between pravastatin and these inhibitors were predicted using physiologically based pharmacokinetic (PBPK) models coupled with the estimated in vivo K(i) and predicted magnitude matched well with the observed DDIs. In conclusion, model‐based analysis of the CPI profile has the potential to quantitatively predict liability of a new molecular entity (NME) as an OATP1B inhibitor early in drug development. John Wiley and Sons Inc. 2018-08-23 2018-08 /pmc/articles/PMC6118294/ /pubmed/29924471 http://dx.doi.org/10.1002/psp4.12315 Text en © 2018 The Authors CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals, Inc. on behalf of 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
Yoshida, Kenta
Guo, Cen
Sane, Rucha
Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title_full Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title_fullStr Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title_full_unstemmed Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title_short Quantitative Prediction of OATP‐Mediated Drug‐Drug Interactions With Model‐Based Analysis of Endogenous Biomarker Kinetics
title_sort quantitative prediction of oatp‐mediated drug‐drug interactions with model‐based analysis of endogenous biomarker kinetics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6118294/
https://www.ncbi.nlm.nih.gov/pubmed/29924471
http://dx.doi.org/10.1002/psp4.12315
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