AI Article Synopsis

  • - This study explores the relationship between multidrug-resistant bacteria and their virulence traits using zebrafish as a model, analyzing 46 strains from Brazilian hospitals that were resistant to colistin and contained specific resistance genes (bla).
  • - Ten different sequence types (STs) were identified, with the majority falling under CC258, and certain virulence factors like fimbriae and efflux-pumps were frequently present; however, only ST16 strains showed a significant increase in mortality in zebrafish embryos (52% vs. 29%).
  • - The findings suggest that while several virulence factors exist, ST16 is uniquely linked to heightened virulence in the zebrafish model, indicating the need for additional studies to better

Article Abstract

This study evaluates a possible correlation between multidrug-resistant strains and virulence markers in a (zebrafish) model. Whole-genome sequencing (WGS) was performed on 46 strains from three Brazilian hospitals. All of the isolates were colistin-resistant and harbored bla. Ten different sequence types (STs) were found; 63% belonged to CC258, 22% to ST340, and 11% to ST16. The virulence factors most frequently found were type 3 fimbriae, siderophores, capsule regulators, and RND efflux-pumps. Six strains were selected for a time-kill experiment in zebrafish embryos: infection by ST16 was associated with a significantly higher mortality rate when compared to non-ST16 strains (52% vs. 29%, = 0.002). Among the STs, the distribution of virulence factors did not differ significantly except for ST23, which harbored a greater variety of factors than other STs but was not related to a higher mortality rate in zebrafish. Although several virulence factors are described in , our study found ST16 to be the only significant predictor of a virulent phenotype in an animal model. Further research is needed to fully understand the correlation between virulence and sequence types.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9686707PMC
http://dx.doi.org/10.3390/antibiotics11111567DOI Listing

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