From Discovery to Translation: Endogenous Substrates of OAT1 and OAT3 as Clinical Biomarkers for Renal Secretory Function

The recent ICH M12 guidance on Drug Interaction Studies encourages the use of alternate approaches for predicting drug-drug interaction (DDI) potential of new chemical entities. One approach involves the use of endogenous substrates of drug metabolizing enzymes and transporters (DMET) as biomarkers, which can assess the inhibitory potential of new chemical entities towards DMET during Phase 1 clinical studies. Thus, biomarkers could potentially eliminate the need for dedicated DDI studies with exogenous probe substrates. Metabolomics, in conjunction with in vitro and/or in vivo preclinical models or clinical studies, can be used for biomarker discovery. We developed and applied a novel metabolomics-based DMET biomarker discovery (MDBD) approach to identify and qualify biomarkers of renal organic anion transporter 1 (OAT1) and OAT3. Untargeted metabolomics of pooled plasma and urine samples (n = 16) from a pharmacokinetic DDI study using the OAT1/3 inhibitor, probenecid, yielded 153 features identified as putative OAT1/3 biomarkers. Subsequently, in vitro transporter uptake assays using processed urine samples confirmed 57 of these features as OAT1 and/or OAT3 substrates. Finally, 23 features were clinically validated as OAT1/3 biomarkers through a detailed pharmacokinetic analysis (0-24 h) of plasma and urine samples (n = 4). These biomarkers, either alone or as part of a panel, can predict OAT1/3-mediated DDIs and interindividual variability in the renal secretory clearance of organic anions across different populations, thereby enabling translational utility in clinical settings. The novel MDBD approach can be extended to discover biomarkers of enzymes and other transporters.

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Publication Details

Journal
Clinical Pharmacology & Therapeutics
Published
2025-05-22
DOI
https://doi.org/10.1002/cpt.3719
Citations
6
Primary Topic
Drug Transport and Resistance Mechanisms
Type
article
Field-Weighted Citation Impact
6.27
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article

From Discovery to Translation: Endogenous Substrates of OAT1 and OAT3 as Clinical Biomarkers for Renal Secretory Function

Zsuzsanna Gáborik, Dilip Kumar Singh, John Clarke, Trip Denton et al.
6 citations
Clinical Pharmacology & Therapeutics
Drug Transport and Resistance Mechanisms
6.27
article

From Discovery to Translation: Endogenous Substrates of OAT1 and OAT3 as Clinical Biomarkers for Renal Secretory Function

Zsuzsanna Gáborik, Dilip Kumar Singh, John Clarke, Trip Denton, Katherine D. Lynch, Bhagwat Prasad, Mary F. Paine, Aarzoo Thakur, Emese Kis
article en
6 citations

Abstract

The recent ICH M12 guidance on Drug Interaction Studies encourages the use of alternate approaches for predicting drug-drug interaction (DDI) potential of new chemical entities. One approach involves the use of endogenous substrates of drug metabolizing enzymes and transporters (DMET) as biomarkers, which can assess the inhibitory potential of new chemical entities towards DMET during Phase 1 clinical studies. Thus, biomarkers could potentially eliminate the need for dedicated DDI studies with exogenous probe substrates. Metabolomics, in conjunction with in vitro and/or in vivo preclinical models or clinical studies, can be used for biomarker discovery. We developed and applied a novel metabolomics-based DMET biomarker discovery (MDBD) approach to identify and qualify biomarkers of renal organic anion transporter 1 (OAT1) and OAT3. Untargeted metabolomics of pooled plasma and urine samples (n = 16) from a pharmacokinetic DDI study using the OAT1/3 inhibitor, probenecid, yielded 153 features identified as putative OAT1/3 biomarkers. Subsequently, in vitro transporter uptake assays using processed urine samples confirmed 57 of these features as OAT1 and/or OAT3 substrates. Finally, 23 features were clinically validated as OAT1/3 biomarkers through a detailed pharmacokinetic analysis (0-24 h) of plasma and urine samples (n = 4). These biomarkers, either alone or as part of a panel, can predict OAT1/3-mediated DDIs and interindividual variability in the renal secretory clearance of organic anions across different populations, thereby enabling translational utility in clinical settings. The novel MDBD approach can be extended to discover biomarkers of enzymes and other transporters.

Clinical Pharmacology & TherapeuticsVol. 118(3)
Gleason (United States) (US), Washington State University Spokane (US), Washington State University (US)
Good health and well-being
Openalex Percentile: Top 3%
Drug Transport and Resistance Mechanisms
6.27
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