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Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations

Physiologically based pharmacokinetic (PBPK) models are increasingly being used to provide human pharmacokinetic (PK) predictions for organic anion-transporting polypeptide (OATP) substrates based on in vitro assay data. As a natural extension in the application of these models, in this study, we in...

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Autores principales: Li, R, Barton, H A, Maurer, T S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288003/
https://www.ncbi.nlm.nih.gov/pubmed/25494035
http://dx.doi.org/10.1038/psp.2014.50
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author Li, R
Barton, H A
Maurer, T S
author_facet Li, R
Barton, H A
Maurer, T S
author_sort Li, R
collection PubMed
description Physiologically based pharmacokinetic (PBPK) models are increasingly being used to provide human pharmacokinetic (PK) predictions for organic anion-transporting polypeptide (OATP) substrates based on in vitro assay data. As a natural extension in the application of these models, in this study, we incorporated in vitro information of three major OATP1B1 genetic variants into a previously reported PBPK model to predict the impact of OATP1B1 polymorphisms on human PK. Using pravastatin and rosuvastatin as examples, we showed that the predicted plasma concentration–time profiles in groups carrying different OATP1B1 genetic variants reasonably matched the clinical observations from multiple studies. This modeling and simulation approach may aid decision making in early pharmaceutical research and development as well as patient-specific dose adjustment in clinical practice.
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spelling pubmed-42880032015-01-09 Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations Li, R Barton, H A Maurer, T S CPT Pharmacometrics Syst Pharmacol Original Article Physiologically based pharmacokinetic (PBPK) models are increasingly being used to provide human pharmacokinetic (PK) predictions for organic anion-transporting polypeptide (OATP) substrates based on in vitro assay data. As a natural extension in the application of these models, in this study, we incorporated in vitro information of three major OATP1B1 genetic variants into a previously reported PBPK model to predict the impact of OATP1B1 polymorphisms on human PK. Using pravastatin and rosuvastatin as examples, we showed that the predicted plasma concentration–time profiles in groups carrying different OATP1B1 genetic variants reasonably matched the clinical observations from multiple studies. This modeling and simulation approach may aid decision making in early pharmaceutical research and development as well as patient-specific dose adjustment in clinical practice. Nature Publishing Group 2014-12 2014-12-10 /pmc/articles/PMC4288003/ /pubmed/25494035 http://dx.doi.org/10.1038/psp.2014.50 Text en Copyright © 2014 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/
spellingShingle Original Article
Li, R
Barton, H A
Maurer, T S
Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title_full Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title_fullStr Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title_full_unstemmed Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title_short Toward Prospective Prediction of Pharmacokinetics in OATP1B1 Genetic Variant Populations
title_sort toward prospective prediction of pharmacokinetics in oatp1b1 genetic variant populations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288003/
https://www.ncbi.nlm.nih.gov/pubmed/25494035
http://dx.doi.org/10.1038/psp.2014.50
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