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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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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. |
format | Online Article Text |
id | pubmed-4288003 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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