How Can Omics Inform Diabetic Foot Ulcer Clinical Management? A Whole Genome Comparison of Four Clinical Strains of Staphylococcus aureus

A.S. Tanwar, P. Shruptha, B. Paul, T.S. Murali, A. Brand, K. Satyamoorthy*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Foot ulcers and associated infections significantly contribute to morbidity and mortality in diabetes. While diverse pathogens are found in the diabetes-related infected ulcers, Staphylococcus aureus remains one of the most virulent and widely prevalent pathogens. The high prevalence of S. aureus in chronic wound infections, especially in clinical settings, is attributed to its ability to evolve and acquire resistance against common antibiotics and to elicit an array of virulence factors. In this study, whole genome comparison of four strains of S. aureus (MUF168, MUF256, MUM270, and MUM475) isolated from diabetic foot ulcer (DFU) infections showing varying resistance patterns was carried out to study the genomic similarity, antibiotic resistance profiling, associated virulence factors, and sequence variations in drug targets. The comparative genome analysis showed strains MUM475 and MUM270 to be highly resistant, MUF256 with moderate levels of resistance, and MUF168 to be the least resistant. Strain MUF256 and MUM475 harbored more virulence factors compared with other two strains. Deleterious sequence variants were observed suggesting potential role in altering drug targets and drug efficacy. This comparative whole genome study offers new molecular insights that may potentially inform evidence-based diagnosis and treatment of DFUs in the clinic.
Original languageEnglish
Pages (from-to)51-61
Number of pages11
JournalOMICS-a journal of Integrative Biology
Volume27
Issue number2
Early online date1 Feb 2023
DOIs
Publication statusPublished - 1 Feb 2023

Keywords

  • diabetes
  • antimicrobial resistance
  • biofilm
  • virulence factors
  • pangenome
  • drug targets
  • DRUG-RESISTANCE
  • VISUALIZATION
  • DETERMINANTS
  • INFECTIONS
  • EVOLUTION
  • VIRULENCE
  • SEARCH
  • TOOL

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