JOURNAL ARTICLE

Investigation of the potential probiotic effects of lactic acid bacteria and cell-free supernatants against important pathogens leading to wound infections.

  • Published In: Minerva Biotechnology & Biomolecular Research, 2023, v. 35, n. 1. P. 41 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: YILMAZ, Ozgenur; TURKYILMAZ, Suheyla 3 of 3

Abstract

This article investigates the antibacterial and antibiofilm effects of lactic acid bacteria (LAB) active cultures and their cell-free supernatants (CFSs) against Staphylococcus aureus and Pseudomonas aeruginosa, two key pathogens involved in wound infections. LAB strains isolated from various dairy products in Türkiye, including species such as Lacticaseibacillus paracasei, Pediococcus parvulus, and Lactobacillus delbrueckii subsp. bulgaricus, demonstrated inhibitory activity against these pathogens, with CFSs showing stronger effects after 72 hours of incubation. The study found that CFSs significantly inhibited biofilm formation and disrupted established biofilms in preincubation, co-incubation, and postincubation assays, while neutralized CFSs (NCFSs) generally lost this activity, suggesting organic acids or bacteriocins as key antimicrobial agents. These findings highlight the potential application of LAB-derived CFSs as alternative antibacterial and antibiofilm agents to control wound infections caused by S. aureus and P. aeruginosa.

Additional Information

  • Source:Minerva Biotechnology & Biomolecular Research. 2023/03, Vol. 35, Issue 1, p41
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:2724-542X
  • DOI:10.23736/S2724-542X.22.02935-2
  • Accession Number:162862337
  • Copyright Statement:Copyright of Minerva Biotechnology & Biomolecular Research is the property of Edizioni Minerva Medica 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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