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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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