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Physiologically-Based Pharmacokinetic Modeling Analysis for Quantitative Prediction of Renal Transporter-Mediated Interactions Between Metformin and Cimetidine

Cited 25 time in Web of Science Cited 28 time in Scopus
Authors

Nishiyama, Kotaro; Toshimoto, Kota; Lee, Wooin; Ishiguro, Naoki; Bister, Bojan; Sugiyama, Yuichi

Issue Date
2019-06
Publisher
Nature Publishing Group
Citation
CPT: Pharmacometrics and Systems Pharmacology, Vol.8 No.6, pp.396-406
Abstract
Metformin is an important antidiabetic drug and often used as a probe for drug-drug interactions (DDIs) mediated by renal transporters. Despite evidence supporting the inhibition of multidrug and toxin extrusion proteins as the likely DDI mechanism, the previously reported physiologically-based pharmacokinetic (PBPK) model required the substantial lowering of the inhibition constant values of cimetidine for multidrug and toxin extrusion proteins from those obtained in vitro to capture the clinical DDI data between metformin and cimetidine.(1) We constructed new PBPK models in which the transporter-mediated uptake of metformin is driven by a constant membrane potential. Our models successfully captured the clinical DDI data using in vitro inhibition constant values and supported the inhibition of multidrug and toxin extrusion proteins by cimetidine as the DDI mechanism upon sensitivity analysis and data fitting. Our refined PBPK models may facilitate prediction approaches for DDI involving metformin using in vitro inhibition constant values.
ISSN
2163-8306
URI
https://hdl.handle.net/10371/190101
DOI
https://doi.org/10.1002/psp4.12398
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