ArticleFrontiers in cellular and infection microbiology2023
Targeted proteomics links virulence factor expression with clinical severity in staphylococcal pneumonia.
Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Genetic determinants of Staphylococcus aureus adhesion shape virulence trade-offs in bacteremia.Nature communications · 2026Article
- BPSS: a Nextflow pipeline for Bacterial Peptide Sequence Selection to detect protein diversity.Bioinformatics (Oxford, England) · 2026Article
- Staphylococcus aureus agr-type vs genetic background: molecular signatures determining differential metabolism and virulence potential.PloS one · 2026Article
- Proteomic assay for rapid characterisation of Staphylococcus aureus antimicrobial resistance mechanisms directly from blood cultures.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Article
- Complex Regulation of Gamma-Hemolysin Expression Impacts Staphylococcus aureus Virulence.Microbiology spectrum · 2023Article
- Combined genomic-proteomic approach in the identification ofFrontiers in microbiology · 2023Article
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12 authors.
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Abstract
Introduction: The bacterial pathogen Methods: We present a targeted proteomic approach able to monitor 42 staphylococcal proteins in a single experiment. Using this approach, we compared the quantitative virulomes of 136 Results: We found that leukopenia was predicted by higher expression of HlgB, Nuc, and Tsst-1 and lower expression of BlaI and HlgC, while hemoptysis was predicted by higher expression of BlaZ and HlgB and lower expression of HlgC. Strikingly, mortality was independently predicted in a dose-dependent fashion by a single phage-encoded virulence factor, the Panton-Valentine leucocidin (PVL), both in logistic (OR 1.28; 95%CI[1.02;1.60]) and survival (HR 1.15; 95%CI[1.02;1.30]) regression models. Discussion: These findings demonstrate that the
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