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A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities
In recent years, various endogenous compounds have been proposed as putative biomarkers for the hepatic uptake transporters OATP1B1 and OATP1B3 that have the potential to predict transporter-mediated drug–drug interactions (DDIs). However, these compounds have often been identified from top–down str...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502272/ https://www.ncbi.nlm.nih.gov/pubmed/36145680 http://dx.doi.org/10.3390/pharmaceutics14091933 |
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author | Li, Yang Jin, Yan Taheri, Hanieh Schmidt, Keith T. Gibson, Alice A. Buck, Stefan A. J. Eisenmann, Eric D. Mathijssen, Ron H. J. Figg, William D. Baker, Sharyn D. Sparreboom, Alex Hu, Shuiying |
author_facet | Li, Yang Jin, Yan Taheri, Hanieh Schmidt, Keith T. Gibson, Alice A. Buck, Stefan A. J. Eisenmann, Eric D. Mathijssen, Ron H. J. Figg, William D. Baker, Sharyn D. Sparreboom, Alex Hu, Shuiying |
author_sort | Li, Yang |
collection | PubMed |
description | In recent years, various endogenous compounds have been proposed as putative biomarkers for the hepatic uptake transporters OATP1B1 and OATP1B3 that have the potential to predict transporter-mediated drug–drug interactions (DDIs). However, these compounds have often been identified from top–down strategies and have not been fully utilized as a substitute for traditional DDI studies. In an attempt to eliminate observer bias in biomarker selection, we applied a bottom–up, untargeted metabolomics screening approach in mice and found that plasma levels of the conjugated bile acid chenodeoxycholate-24-glucuronide (CDCA-24G) are particularly sensitive to deletion of the orthologous murine transporter Oatp1b2 (31-fold increase vs. wild type) or the entire Oatp1a/1b(−/−)cluster (83-fold increased), whereas the humanized transgenic overexpression of hepatic OATP1B1 or OATP1B3 resulted in the partial restoration of transport function. Validation studies with the OATP1B1/OATP1B3 inhibitors rifampin and paclitaxel in vitro as well as in mice and human subjects confirmed that CDCA-24G is a sensitive and rapid response biomarker to dose-dependent transporter inhibition. Collectively, our study confirmed the ability of CDCA-24G to serve as a sensitive and selective endogenous biomarker of OATP1B-type transport function and suggests a template for the future development of biomarkers for other clinically important xenobiotic transporters. |
format | Online Article Text |
id | pubmed-9502272 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95022722022-09-24 A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities Li, Yang Jin, Yan Taheri, Hanieh Schmidt, Keith T. Gibson, Alice A. Buck, Stefan A. J. Eisenmann, Eric D. Mathijssen, Ron H. J. Figg, William D. Baker, Sharyn D. Sparreboom, Alex Hu, Shuiying Pharmaceutics Article In recent years, various endogenous compounds have been proposed as putative biomarkers for the hepatic uptake transporters OATP1B1 and OATP1B3 that have the potential to predict transporter-mediated drug–drug interactions (DDIs). However, these compounds have often been identified from top–down strategies and have not been fully utilized as a substitute for traditional DDI studies. In an attempt to eliminate observer bias in biomarker selection, we applied a bottom–up, untargeted metabolomics screening approach in mice and found that plasma levels of the conjugated bile acid chenodeoxycholate-24-glucuronide (CDCA-24G) are particularly sensitive to deletion of the orthologous murine transporter Oatp1b2 (31-fold increase vs. wild type) or the entire Oatp1a/1b(−/−)cluster (83-fold increased), whereas the humanized transgenic overexpression of hepatic OATP1B1 or OATP1B3 resulted in the partial restoration of transport function. Validation studies with the OATP1B1/OATP1B3 inhibitors rifampin and paclitaxel in vitro as well as in mice and human subjects confirmed that CDCA-24G is a sensitive and rapid response biomarker to dose-dependent transporter inhibition. Collectively, our study confirmed the ability of CDCA-24G to serve as a sensitive and selective endogenous biomarker of OATP1B-type transport function and suggests a template for the future development of biomarkers for other clinically important xenobiotic transporters. MDPI 2022-09-13 /pmc/articles/PMC9502272/ /pubmed/36145680 http://dx.doi.org/10.3390/pharmaceutics14091933 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Yang Jin, Yan Taheri, Hanieh Schmidt, Keith T. Gibson, Alice A. Buck, Stefan A. J. Eisenmann, Eric D. Mathijssen, Ron H. J. Figg, William D. Baker, Sharyn D. Sparreboom, Alex Hu, Shuiying A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title | A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title_full | A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title_fullStr | A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title_full_unstemmed | A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title_short | A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities |
title_sort | metabolomics approach for predicting oatp1b-type transporter-mediated drug–drug interaction liabilities |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9502272/ https://www.ncbi.nlm.nih.gov/pubmed/36145680 http://dx.doi.org/10.3390/pharmaceutics14091933 |
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