Identification of Endogenous Biomarkers to Predict the Propensity of Drug Candidates to Cause Hepatic or Renal Transporter-Mediated Drug-Drug Interactions

被引:69
作者
Chu, Xiaoyan [1 ]
Chan, Grace Hoyee [1 ]
Evers, Raymond [1 ]
机构
[1] Merck Sharp & Dohme Corp, Dept Pharmacokinet Pharmacodynam & Drug Metab, Kenilworth, NJ 07033 USA
关键词
transporters; endogenous biomarkers; drug-drug interactions; ORGANIC ANION TRANSPORTERS; IN-VITRO; CATION TRANSPORTERS; HEALTHY-SUBJECTS; P-GLYCOPROTEIN; BILE-ACIDS; UNCONJUGATED HYPERBILIRUBINEMIA; QUANTITATIVE ASSESSMENT; MEMBRANE TRANSPORTERS; THIAMINE TRANSPORTER;
D O I
10.1016/j.xphs.2017.04.007
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Drug transporters expressed in liver and kidney play a critical role in the elimination of a wide range of drugs and xenobiotics and inhibition of these transporters may therefore cause clinically significant drug-drug interactions (DDIs). Currently, in vitro transporter inhibition data are used to assess the risk that a drug candidate may act as an inhibitor of a transporter in patients at clinically relevant exposures. However, this approach is hampered by low confidence in in vitro to in vivo extrapolations, and large inter-system and inter-laboratory variability in in vitro data. Several endogenous compounds have been identified as substrates of drug transporters. Determining the impact of perpetrator drugs on the plasma or urinary exposure of these potential endogenous biomarkers in humans is being explored as an alternative approach to assess the DDI liability of drug candidates, especially in early drug development. In this review, we provide an overview of recently identified biomarkers used to study the inhibition of hepatic and renal transporters; summarize the methods and strategies employed to identify biomarkers; and discuss the utility, limitation, and future direction of biomarker approaches to predict transporter-mediated DDIs. (C) 2017 Published by Elsevier Inc. on behalf of the American Pharmacists Association.
引用
收藏
页码:2357 / 2367
页数:11
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