JOURNAL ARTICLE

Antifungal activity of bamemacrolactine C against Talaromyces marneffei and its possible mechanisms of action.

  • Published In: Journal of Applied Microbiology, 2024, v. 135, n. 12. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Jiang, Cuiping; Feng, Guangfu; Wang, Zhou; Liu, Kai; Qu, Xinjian; Liu, Yonghong; Yi, Xiangxi; Gao, Chenghai 3 of 3

Abstract

This article focuses on the investigation of bamemacrolactine C (BAC), a novel 24-membered macrolide compound, for its antifungal activity and mechanism of action against the pathogenic fungus Talaromyces marneffei. BAC demonstrated concentration-dependent antifungal effects with a minimum inhibitory concentration (MIC) of 35.29 μg/ml and showed additive effects when combined with amphotericin B or fluconazole. Mechanistic studies revealed that BAC disrupts fungal cell membrane integrity, causing nucleic acid leakage and reducing activities of membrane-associated enzymes (Na+/K+-ATPase and Ca2+-ATPase), while also inhibiting intracellular enzymes involved in energy metabolism, including ATP, malate dehydrogenase, and succinate dehydrogenase. Proteomic analysis identified downregulation of ATP-citrate lyase (ACLY), a key enzyme in the tricarboxylic acid (TCA) cycle, as a potential molecular target, supported by molecular docking results indicating strong binding affinity. These findings suggest BAC's multifaceted antifungal mechanism involves both membrane disruption and interference with fungal energy metabolism, highlighting its potential as a novel therapeutic agent against T. marneffei infections.

Additional Information

  • Source:Journal of Applied Microbiology. 2024/12, Vol. 135, Issue 12, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:1364-5072
  • DOI:10.1093/jambio/lxae297
  • Accession Number:182369368
  • Copyright Statement:Copyright of Journal of Applied Microbiology 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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