Natural Polyketides Act as Promising Antifungal Agents.


Journal

Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414

Informations de publication

Date de publication:
24 Oct 2023
Historique:
received: 01 10 2023
revised: 16 10 2023
accepted: 22 10 2023
medline: 27 11 2023
pubmed: 25 11 2023
entrez: 25 11 2023
Statut: epublish

Résumé

Invasive fungal infections present a significant risk to human health. The current arsenal of antifungal drugs is hindered by drug resistance, limited antifungal range, inadequate safety profiles, and low oral bioavailability. Consequently, there is an urgent imperative to develop novel antifungal medications for clinical application. This comprehensive review provides a summary of the antifungal properties and mechanisms exhibited by natural polyketides, encompassing macrolide polyethers, polyether polyketides, xanthone polyketides, linear polyketides, hybrid polyketide non-ribosomal peptides, and pyridine derivatives. Investigating natural polyketide compounds and their derivatives has demonstrated their remarkable efficacy and promising clinical application as antifungal agents.

Identifiants

pubmed: 38002254
pii: biom13111572
doi: 10.3390/biom13111572
pmc: PMC10669366
pii:
doi:

Substances chimiques

Antifungal Agents 0
Polyketides 0
Macrolides 0
Peptides 0

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : National Key Research and Development Program of China
ID : No.2022YFC2303004
Organisme : National Natural Science Foundation of China
ID : 82020108032

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Auteurs

Li Wang (L)

Department of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.

Hui Lu (H)

Department of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.

Yuanying Jiang (Y)

Department of Pharmacy, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai 200072, China.

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Classifications MeSH