Antimicrobial efficacy of Bifidobacterium longum FB1-4 cell-free supernatant against MRSA: Insights into mechanisms and food matrix application
Abstract
The food safety landscape faces a significant challenge from methicillin-resistant Staphylococcus aureus (MRSA), a virulent and antibiotic-resistant foodborne pathogen. This study investigates the antimicrobial properties and mechanisms of cell-free supernatant (CFS) from Bifidobacterium longum FB1-4 against MRSA. The CFS exhibited robust antibacterial activity, achieving a minimum inhibitory concentration (MIC) of 5.56 mg/ml and maintaining a bacterial elimination rate of over 80 % for 8 hours at 2× MIC, demonstrating superior sustained bactericidal efficacy compared to vancomycin. Antibacterial component analysis revealed that while the initial effect is partly pH-dependent, the activity is largely attributable to heat-stable molecules, retaining 90 % efficacy after high-temperature treatment. In a food matrix, FB1-4 CFS exhibited impressive bactericidal effects against three MRSA strains, leading to elimination rates of 94.64 % at 2 hours, 98.02 % at 4 hours, 99.90 % at 6 hours, and nearly complete eradication (99.99 %) by 8 hours. Furthermore, FB1-4 CFS significantly suppressed all three tested MRSA strains (MRSA-43300, MRSA-337371, and MRSA-361194); P < 0.05) mecA expression, increased antibiotic susceptibility, and diminished biofilm formation by 70 %. Transcriptomic and metabolomic analyses revealed that FB1-4 CFS modulates two-component systems and quorum sensing, leading to reduced virulence factor expression. In vivo studies confirmed a 90 % reduction in MRSA colonization in mouse intestines. These findings provide critical insights into how probiotic metabolites inhibit MRSA, underscoring their potential as natural therapeutic agents in food safety.
Fields of Study & Subjects
Probiotics and Fermented Foods
Antimicrobial Resistance in Staphylococcus
Essential Oils and Antimicrobial Activity
Publication details
- Journal / source
- DRYAD
- Publication date
- 7 January 2026
- Language
- EN
- Document type
- Dataset