JOURNAL ARTICLE

LC–MS/MS Method Assay for Simultaneous Determination of the Apixaban and Metformin in Rat Plasma: Assessment of Pharmacokinetic Drug–Drug Interaction Study.

  • Published In: Journal of Chromatographic Science, 2023, v. 61, n. 6. P. 522 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wang, Libin; Shang, Kun; Feng, Tian; Dong, Wei; Wang, Fang; Shen, Xin 3 of 3

Abstract

This article focuses on the development and validation of a liquid chromatography–tandem mass spectrometry (LC–MS/MS) method for the simultaneous quantification of apixaban (APB), an oral anticoagulant, and metformin (MET), a hypoglycemic agent, in rat plasma to investigate their pharmacokinetic drug–drug interactions (DDI). The validated method demonstrated acceptable selectivity, linearity, precision, accuracy, recovery, matrix effects, and stability according to FDA and EMA guidelines. Pharmacokinetic studies in rats revealed significant alterations in parameters such as area under the curve (AUC), half-life (t₁/₂), clearance (CL), and maximum concentration (Cmax) when APB and MET were co-administered, suggesting potential DDIs possibly mediated by transporters including organic cation transporters (OCTs) and multidrug and toxin extrusion proteins (MATE1, MATE2-K). These findings provide preliminary evidence relevant to the concurrent clinical use of APB and MET, particularly in diabetic patients requiring anticoagulation therapy after hip or knee replacement.

Additional Information

  • Source:Journal of Chromatographic Science. 2023/07, Vol. 61, Issue 6, p522
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2023
  • ISSN:0021-9665
  • DOI:10.1093/chromsci/bmac076
  • Accession Number:164879946
  • Copyright Statement:Copyright of Journal of Chromatographic Science is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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