Evidence map›Paper›PMID 42518010›Full record

ArticleEuropean journal of clinical pharmacology2026

Population pharmacokinetic modeling of amisulpride drug interactions and a transporter binding analysis.

Tongying Gan, Chang Liu, Bixuan Wu

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Article in European journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Tongying GanThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, People's Republic of China. gan_ty@163.com.
Chang LiuThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, People's Republic of China.
Bixuan WuThe Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, 510370, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe combination of amisulpride and metformin is common in schizophrenia, but their potential drug-drug interaction has been largely overlooked, despite both drugs being prototypical substrates for renal elimination and potentially subject to transport by OCT2 and MATE1.

methodsIn this study, we employed population pharmacokinetic modeling to quantify the impact of renal function and metformin on amisulpride pharmacokinetics, and complemented it with molecular docking to predict binding modes on key renal transporters, thereby exploring potential transporters mediating the interaction.

resultsWe identified CLcr, assessed by the Cockcroft-Gault formula, as the dominant covariate. A 10% decrease in CLcr was associated with a 3.8% decrease in CL/F, while metformin significantly reduced clearance by 23.2%, leading to an at least 41% increase in amisulpride steady‑state trough concentration. Molecular docking generated a structural hypothesis that amisulpride and metformin may share overlapping binding sites on OCT2 and MATE1.

conclusionThis study provides the first clinical indication of a potential drug-drug interaction between amisulpride and metformin. We provide model‑informed dosing references stratified by CLcr, along with recommendations for dose reduction and heightened vigilance for interaction-related adverse effects in patients receiving combination therapy. Molecular docking offers a structural hypothesis regarding binding at OCT2 and MATE1 to support further mechanistic investigation.

Indexed as

AmisulprideAntipsychotic AgentsHypoglycemic AgentsMetforminModels, BiologicalOrganic Cation Transport ProteinsAdultDrug InteractionsFemaleHumansMaleMolecular Docking SimulationOrganic Cation Transporter 2AmisulprideAntipsychotic AgentsHypoglycemic AgentsMetforminOrganic Cation Transporter 2Organic Cation Transport ProteinsSLC22A2 protein, humanSLC47A1 protein, humanAmisulprideDrug-drug interactionsMetforminPopulation pharmacokineticsRenal clearanceTransporter

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