AI Article Synopsis

  • The study investigates the prevalence of immune evasion (IE) genes in 86 strains of methicillin-susceptible Staphylococcus aureus (MSSA) collected from outpatients, highlighting the role of these genes in the pathogen's ability to evade the immune system.
  • Researchers utilized polymerase chain reaction to detect IE genes and pulsed-field gel electrophoresis (PFGE) to analyze the clonal relatedness of the strains.
  • Findings revealed that the majority of strains possessed multiple IE genes, with IEC type F being the most common, indicating a diverse genetic repertoire that allows these strains to effectively avoid host immune responses.

Article Abstract

, being one of the most common human pathogens, is responsible for infections in both hospital and community settings. Its virulence is attributed to its ability to evade the immune system by producing immune evasion (IE) proteins. The aim of this study was to detect the frequency of selected IE genes (, , , , , , , ), belonging to the immune evasion cluster (IEC), and IEC types in 86 methicillin-susceptible (MSSA) strains isolated from unrelated outpatients. In order to determine the diversity of analyzed strains, the phylogenetic relatedness was also determined. All strains were examined for the presence of IE genes using polymerase chain reaction assay. To analyze the clonal relatedness of , pulsed-field gel electrophoresis (PFGE) was performed. All analyzed strains harbored the gene, followed by (95.4%), (91.7%), (89.5%), (83.7%), (67.4%), (67.4%) and (5.8%). Seventy-three (84.9%) strains were classified into IEC types, of which, IEC type F was most commonly observed. IEC type A was not detected. PFGE results showed no association between clonal relatedness and the presence of IE genes/IEC types. In conclusion, the abundant and so diverse repertoire of genes determining invasion in analyzed strains may prove the fact that these strains are highly advanced and adapted to evade the host immune response.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11350705PMC
http://dx.doi.org/10.3390/antibiotics13080730DOI Listing

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