Thymol Reduces agr -Mediated Virulence Factor Phenol-Soluble Modulin Production in Staphylococcus aureus .
Harshad LadeSung Hee ChungYeonhee LeeBajarang Vasant KumbharHwang-Soo JooYun-Gon KimYung-Hun YangJae Seok KimPublished in: BioMed research international (2022)
Staphylococcus aureus is a major human bacterial pathogen that carries a large number of virulence factors. Many virulence factors of S. aureus are regulated by the accessory gene regulator ( agr ) quorum-sensing system. Phenol-soluble modulins (PSMs) are one of the agr -mediated virulence determinants known to play a significant role in S. aureus pathogenesis. In the present study, the efficacy of thymol to inhibit PSM production including δ -toxin in S. aureus was explored. We employed liquid chromatography-mass spectrometry (LC-MS) to quantify the PSMs α 1-PSM α 4, PSM β 1 and PSM β 2, and δ -toxin production from culture supernatants. We found that thymol at 0.5 MIC (128 μ g/mL) significantly reduced the PSM α and δ -toxin production in S. aureus WKZ-1, WKZ-2, LAC USA300, and ATCC29213. Downregulation in transcription by quantitative real-time (qRT) PCR analysis of response regulator agrA and receptor histidine kinase agrC upon 0.5 MIC thymol treatment affirmed the results of LC-MS quantification of PSMs. In silico molecular docking analysis demonstrated the binding affinity of thymol with receptors AgrA and AgrC. Transmission electron microscopy images revealed no ultrastructural alterations (cell wall and membrane) in thymol-treated WKZ-1 and WKZ-2 S . aureus strains. Here, we demonstrated that thymol reduces various PSM production in S. aureus clinical isolates and reference strains with mass spectrometry.
Keyphrases
- escherichia coli
- staphylococcus aureus
- mass spectrometry
- biofilm formation
- molecular docking
- liquid chromatography
- pseudomonas aeruginosa
- antimicrobial resistance
- electron microscopy
- cell wall
- high resolution
- transcription factor
- high resolution mass spectrometry
- high performance liquid chromatography
- endothelial cells
- methicillin resistant staphylococcus aureus
- deep learning
- candida albicans
- molecular dynamics simulations
- capillary electrophoresis
- tandem mass spectrometry
- optical coherence tomography
- dna methylation
- simultaneous determination
- signaling pathway
- machine learning
- copy number
- genome wide
- solid phase extraction
- convolutional neural network