Therapeutic efficacy of compound organic acids administration on methicillin-resistant Staphylococcus aureus-induced arthritis in broilers.

MRSA Staphylococcus aureus arthritis broiler organic acid

Journal

Poultry science
ISSN: 1525-3171
Titre abrégé: Poult Sci
Pays: England
ID NLM: 0401150

Informations de publication

Date de publication:
01 Sep 2024
Historique:
received: 05 05 2024
revised: 03 08 2024
accepted: 09 08 2024
medline: 16 9 2024
pubmed: 16 9 2024
entrez: 15 9 2024
Statut: aheadofprint

Résumé

Avian arthritis is a common disease in the poultry industry, and the etiology is complex. Bacterial arthritis is usually caused by Staphylococcus aureus (S. aureus) infection. This study explored the minimum inhibitory concentration (MIC) of different organic acids against S. aureus MRSA85 and found that vanillic acid, suberic acid, itaconic acid, salicylic acid, and other organic acids had significant inhibitory effects on this strain, especially cinnamic acid, which exhibited the best inhibitory effect. The Fractional Inhibitory Concentration Index (FICI) test further revealed the synergistic effect among some compound organic acids, which can significantly enhance the antibacterial efficiency against MRSA85 while reducing the risk of bacterial resistance. Under the low concentrations (1/2 or 1/4 MIC) conditions, the MIC of the compound organic acids against S. aureus remains unchanged, and it can even enhance the sensitivity of antibiotic-resistant S. aureus to Oxacillin. Furthermore, the compound organic acids could effectively promote the recovery of S. aureus-induced arthritis in broiler models, reduce inflammatory responses, and lower down bacterial loads and inflammatory cytokine levels in joints, which indicated that the effects of the Compound 2 is comparable to that of the trimethoprim-sulfamethoxazole group. These results support the potential and application value of organic acids and their compounds, including Compound 1 to 3, as novel antibacterial agents in the treatment of S. aureus infections.

Identifiants

pubmed: 39278110
pii: S0032-5791(24)00798-3
doi: 10.1016/j.psj.2024.104219
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

104219

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Gengsong Liu (G)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Yanyao Gui (Y)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Wen Shi (W)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Hongchun Yang (H)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Shufeng Feng (S)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Si Liang (S)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Congcong Zhou (C)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Qiaoyan Zhou (Q)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Haizhu Li (H)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Gonghe Li (G)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China.

Hongbin Si (H)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China; Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, 530004, China; Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, 530004, China.

Changbo Ou (C)

College of Animal Science and Technology, Guangxi University, Nanning, 530004, China; Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, 530004, China; Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, 530004, China. Electronic address: ouchangbo2004@163.com.

Classifications MeSH