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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Main Authors: Yang Li, Yan Jin, Hanieh Taheri, Keith T. Schmidt, Alice A. Gibson, Stefan A. J. Buck, Eric D. Eisenmann, Ron H. J. Mathijssen, William D. Figg, Sharyn D. Baker, Alex Sparreboom, Shuiying Hu
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Pharmaceutics
Subjects:
Online Access:https://www.mdpi.com/1999-4923/14/9/1933
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author Yang Li
Yan Jin
Hanieh Taheri
Keith T. Schmidt
Alice A. Gibson
Stefan A. J. Buck
Eric D. Eisenmann
Ron H. J. Mathijssen
William D. Figg
Sharyn D. Baker
Alex Sparreboom
Shuiying Hu
author_facet Yang Li
Yan Jin
Hanieh Taheri
Keith T. Schmidt
Alice A. Gibson
Stefan A. J. Buck
Eric D. Eisenmann
Ron H. J. Mathijssen
William D. Figg
Sharyn D. Baker
Alex Sparreboom
Shuiying Hu
author_sort Yang Li
collection DOAJ
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 doaj.art-f5ac3357508f42909be4461d3b90d9442023-11-23T18:23:13ZengMDPI AGPharmaceutics1999-49232022-09-01149193310.3390/pharmaceutics14091933A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction LiabilitiesYang Li0Yan Jin1Hanieh Taheri2Keith T. Schmidt3Alice A. Gibson4Stefan A. J. Buck5Eric D. Eisenmann6Ron H. J. Mathijssen7William D. Figg8Sharyn D. Baker9Alex Sparreboom10Shuiying Hu11Division of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USAClinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, ML 20892, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADepartment of Medical Oncology, Erasmus Medical Center Cancer Institute, Dr. Molewaterplein 40, 3015 GD Rotterdam, The NetherlandsDivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADepartment of Medical Oncology, Erasmus Medical Center Cancer Institute, Dr. Molewaterplein 40, 3015 GD Rotterdam, The NetherlandsClinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, ML 20892, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USADivision of Pharmaceutics and Pharmacology, College of Pharmacy & Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USAIn 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.https://www.mdpi.com/1999-4923/14/9/1933endogenous biomarkersOATP1Btaxanedrug–drug interactions
spellingShingle Yang Li
Yan Jin
Hanieh Taheri
Keith T. Schmidt
Alice A. Gibson
Stefan A. J. Buck
Eric D. Eisenmann
Ron H. J. Mathijssen
William D. Figg
Sharyn D. Baker
Alex Sparreboom
Shuiying Hu
A Metabolomics Approach for Predicting OATP1B-Type Transporter-Mediated Drug–Drug Interaction Liabilities
Pharmaceutics
endogenous biomarkers
OATP1B
taxane
drug–drug interactions
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 endogenous biomarkers
OATP1B
taxane
drug–drug interactions
url https://www.mdpi.com/1999-4923/14/9/1933
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