Development of novel, 384-well high-throughput assay panels for human drug transporters: Drug interaction and safety assessment in support of discovery research

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Abstract

Transporter proteins are known to play a critical role in affecting the overall absorption, distribution, metabolism, and excretion characteristics of drug candidates. In addition to efflux transporters (P-gp, BCRP, MRP2, etc.) that limit absorption, there has been a renewed interest in influx transporters at the renal (OATs, OCTs) and hepatic (OATPs, BSEP, NTCP, etc.) organ level that can cause significant clinical drug-drug interactions (DDIs). Several of these transporters are also critical for hepatobiliary disposition of bilirubin and bile acid/salts, and their inhibition is directly implicated in hepatic toxicities. Regulatory agencies took action to address transporter-mediated DDI with the goal of ensuring drug safety in the clinic and on the market. To meet regulatory requirements, advanced bioassay technology and automation solutions were implemented for high-throughput transporter screening to provide structure-activity relationship within lead optimization. To enhance capacity, several functional assay formats were miniaturized to 384-well throughput including novel fluorescence-based uptake and efflux inhibition assays using high-content image analysis as well as cell-based radioactive uptake and vesicle-based efflux inhibition assays. This high-throughput capability enabled a paradigm shift from studying transporter-related issues in the development space to identifying and dialing out these concerns early on in discovery for enhanced mechanism-based efficacy while circumventing DDIs and transporter toxicities. © 2013 Society for Laboratory Automation and Screening.

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Tang, H., Shen, D. R., Han, Y. H., Kong, Y., Balimane, P., Marino, A., … Cvijic, M. E. (2013). Development of novel, 384-well high-throughput assay panels for human drug transporters: Drug interaction and safety assessment in support of discovery research. Journal of Biomolecular Screening, 18(9), 1072–1083. https://doi.org/10.1177/1087057113494807

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