{"title":"Integrating renal transporter biomarkers into drug development: Discovery, clinical assessment, and precision medicine","authors":"Sook Wah Yee , Bhagwat Prasad , Hiroyuki Kusuhara , Emi Kimoto","doi":"10.1016/j.dmpk.2026.101515","DOIUrl":null,"url":null,"abstract":"<div><div>Renal transporters play a critical role in the renal secretion of prescription drugs and endogenous metabolites. Inhibition of these transporters can increase the plasma exposure of a co-administered drug by reducing its renal clearance, potentially resulting in clinically significant drug-drug interactions (DDIs). The ICH M12 guideline promotes the use of endogenous substrates as biomarkers offers a promising approach for assessing transporter inhibition during early-phase clinical studies, potentially reducing reliance on traditional probe-based DDI trials. This strategy may reduce or eliminate the need for dedicated DDI studies using exogenous probe substrates, thereby streamlining drug development and advancing precision medicine. This review provides an overview of the discovery, evaluation, and application of renal transporter biomarkers—specifically endogenous metabolites—in the context of transporter-mediated DDI risk assessment. We highlight the use of in vitro and in vivo models, including transporter-overexpressing cell systems, knockout mice, and clinical DDI samples, to identify and validate biomarkers for renal transporters. Human genetic studies further support biomarker discovery by linking transporter variants to metabolite levels. Analytical tools like targeted and untargeted metabolomic approaches are essential for biomarker identification and quantification. Additionally, physiologically based pharmacokinetic (PBPK) modeling is discussed as a critical tool for translating biomarker data into clinical DDI predictions.</div></div>","PeriodicalId":11298,"journal":{"name":"Drug Metabolism and Pharmacokinetics","volume":"67 ","pages":"Article 101515"},"PeriodicalIF":2.2000,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Drug Metabolism and Pharmacokinetics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1347436726000017","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/1/9 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
引用次数: 0
Abstract
Renal transporters play a critical role in the renal secretion of prescription drugs and endogenous metabolites. Inhibition of these transporters can increase the plasma exposure of a co-administered drug by reducing its renal clearance, potentially resulting in clinically significant drug-drug interactions (DDIs). The ICH M12 guideline promotes the use of endogenous substrates as biomarkers offers a promising approach for assessing transporter inhibition during early-phase clinical studies, potentially reducing reliance on traditional probe-based DDI trials. This strategy may reduce or eliminate the need for dedicated DDI studies using exogenous probe substrates, thereby streamlining drug development and advancing precision medicine. This review provides an overview of the discovery, evaluation, and application of renal transporter biomarkers—specifically endogenous metabolites—in the context of transporter-mediated DDI risk assessment. We highlight the use of in vitro and in vivo models, including transporter-overexpressing cell systems, knockout mice, and clinical DDI samples, to identify and validate biomarkers for renal transporters. Human genetic studies further support biomarker discovery by linking transporter variants to metabolite levels. Analytical tools like targeted and untargeted metabolomic approaches are essential for biomarker identification and quantification. Additionally, physiologically based pharmacokinetic (PBPK) modeling is discussed as a critical tool for translating biomarker data into clinical DDI predictions.
期刊介绍:
DMPK publishes original and innovative scientific papers that address topics broadly related to xenobiotics. The term xenobiotic includes medicinal as well as environmental and agricultural chemicals and macromolecules. The journal is organized into sections as follows:
- Drug metabolism / Biotransformation
- Pharmacokinetics and pharmacodynamics
- Toxicokinetics and toxicodynamics
- Drug-drug interaction / Drug-food interaction
- Mechanism of drug absorption and disposition (including transporter)
- Drug delivery system
- Clinical pharmacy and pharmacology
- Analytical method
- Factors affecting drug metabolism and transport
- Expression of genes for drug-metabolizing enzymes and transporters
- Pharmacogenetics and pharmacogenomics
- Pharmacoepidemiology.