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Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions
PURPOSE: To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. METHODS: PBPK mo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688195/ https://www.ncbi.nlm.nih.gov/pubmed/33237382 http://dx.doi.org/10.1007/s11095-020-02964-z |
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author | Britz, Hannah Hanke, Nina Taub, Mitchell E. Wang, Ting Prasad, Bhagwat Fernandez, Éric Stopfer, Peter Nock, Valerie Lehr, Thorsten |
author_facet | Britz, Hannah Hanke, Nina Taub, Mitchell E. Wang, Ting Prasad, Bhagwat Fernandez, Éric Stopfer, Peter Nock, Valerie Lehr, Thorsten |
author_sort | Britz, Hannah |
collection | PubMed |
description | PURPOSE: To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. METHODS: PBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration–time curve (AUC) and peak plasma concentrations (C(max)) were predicted and compared to observed data. In addition, the models were applied to predict the outcome of clinical DDI studies. RESULTS: The developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI C(max) ratios within 1.25-fold of the observed values, and all predicted DDI AUC and C(max) ratios within 2.0-fold. CONCLUSIONS: Whole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11095-020-02964-z. |
format | Online Article Text |
id | pubmed-7688195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76881952020-11-30 Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions Britz, Hannah Hanke, Nina Taub, Mitchell E. Wang, Ting Prasad, Bhagwat Fernandez, Éric Stopfer, Peter Nock, Valerie Lehr, Thorsten Pharm Res Research Paper PURPOSE: To provide whole-body physiologically based pharmacokinetic (PBPK) models of the potent clinical organic anion transporter (OAT) inhibitor probenecid and the clinical OAT victim drug furosemide for their application in transporter-based drug-drug interaction (DDI) modeling. METHODS: PBPK models of probenecid and furosemide were developed in PK-Sim®. Drug-dependent parameters and plasma concentration-time profiles following intravenous and oral probenecid and furosemide administration were gathered from literature and used for model development. For model evaluation, plasma concentration-time profiles, areas under the plasma concentration–time curve (AUC) and peak plasma concentrations (C(max)) were predicted and compared to observed data. In addition, the models were applied to predict the outcome of clinical DDI studies. RESULTS: The developed models accurately describe the reported plasma concentrations of 27 clinical probenecid studies and of 42 studies using furosemide. Furthermore, application of these models to predict the probenecid-furosemide and probenecid-rifampicin DDIs demonstrates their good performance, with 6/7 of the predicted DDI AUC ratios and 4/5 of the predicted DDI C(max) ratios within 1.25-fold of the observed values, and all predicted DDI AUC and C(max) ratios within 2.0-fold. CONCLUSIONS: Whole-body PBPK models of probenecid and furosemide were built and evaluated, providing useful tools to support the investigation of transporter mediated DDIs. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11095-020-02964-z. Springer US 2020-11-25 2020 /pmc/articles/PMC7688195/ /pubmed/33237382 http://dx.doi.org/10.1007/s11095-020-02964-z Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Paper Britz, Hannah Hanke, Nina Taub, Mitchell E. Wang, Ting Prasad, Bhagwat Fernandez, Éric Stopfer, Peter Nock, Valerie Lehr, Thorsten Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title | Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title_full | Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title_fullStr | Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title_full_unstemmed | Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title_short | Physiologically Based Pharmacokinetic Models of Probenecid and Furosemide to Predict Transporter Mediated Drug-Drug Interactions |
title_sort | physiologically based pharmacokinetic models of probenecid and furosemide to predict transporter mediated drug-drug interactions |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7688195/ https://www.ncbi.nlm.nih.gov/pubmed/33237382 http://dx.doi.org/10.1007/s11095-020-02964-z |
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