A correlation study between virulence factors and multidrug resistance among clinical isolates of Proteus mirabilis.
Mai ElhoshiEglal El-SherbinyAmel ElsheredyAliaa Gamaleldin AboulelaPublished in: Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] (2023)
Treatment of Proteus mirabilis infections is a challenge due to the high abundance of virulence factors and the high intrinsic resistance to antimicrobials. Multidrug resistance (MDR) and extensive drug resistance (XDR) further challenge the control of P. mirabilis infection. This study aimed to investigate the correlation between virulence determinants and multidrug resistance in 100 clinical isolates of P. mirabilis collected in Alexandria from December 2019 to June 2021. Susceptibility to antimicrobials was tested by the Kirby Bauer method. Detection of swarming, urease, protease, hemolysin, and biofilm formation was performed phenotypically and by PCR amplification of zapA, flaA, ureC, mrpA, atfA, ucaA, hpmA, and luxS. MDR and XDR were detected in 34% and 5%, respectively. All isolates were positive for motility, swarming, urease, and protease production. Ninety percent were positive for hemolysin production, while 73% formed biofilm. All isolates possessed the ureC and zapA genes. The luxS, flaA, ucaA, hpmA, mrpA, and atfA genes were detected in 99%, 98%, 96% 90%, 89%, and 84%, respectively. The presence of a single biofilm-related gene was statistically correlated with non-biofilm production (P= 0.018). It was concluded that P. mirabilis isolates from catheterized-urine samples were significantly associated with biofilm formation. MDR and virulence were not statistically correlated. A significant positive correlation was detected between some virulence genes in P. mirabilis. Non-MDR isolates of P. mirabilis had a high abundance of virulence factors with no statistically significant difference from MDR. Most of the MDR and all XDR isolates could produce biofilm.
Keyphrases
- biofilm formation
- pseudomonas aeruginosa
- staphylococcus aureus
- candida albicans
- multidrug resistant
- escherichia coli
- drug resistant
- genome wide
- cystic fibrosis
- genome wide identification
- genetic diversity
- gene expression
- dna methylation
- bioinformatics analysis
- genome wide analysis
- copy number
- quantum dots
- nucleic acid
- microbial community
- sensitive detection
- antimicrobial resistance
- combination therapy
- wastewater treatment
- real time pcr