Literature DB >> 31950434

Clinical cases, drug resistance, and virulence genes profiling in Uropathogenic Escherichia coli.

Ali Hozzari1, Payam Behzadi2, Parisa Kerishchi Khiabani3, Mohammad Sholeh4, Niloofar Sabokroo5.   

Abstract

Uropathogenic Escherichia coli (UPEC) as the most important bacterial agent of urinary tract infections (UTIs) encompasses a wide treasure of virulence genes and factors. In due to this default, the aim of this research was to detect and identify some important virulence genes including cnf1, upaH, hlyA, ibeA, and cdtB in isolated UPEC pathotypes. In this research, clinical samples of urine were collected in Shahr-e-Qods, Tehran, Iran. The UPEC pathotypes were confirmed by standard biochemical tests. The DNAs of isolated bacteria were extracted. The genes of cnf1, upaH, hlyA, ibeA, and cdtB were run for multiplex PCR and gel electrophoresis. Furthermore, the antibiogram was done for the isolated UPEC strains by 11 common antibiotics. In accordance with the results, the virulence genes of cnf1, upaH, hlyA, ibeA, and cdtB were respectively recognized in 100%, 51.2%, 38.4%, 9.3%, and 0% of isolated UPEC pathotypes. In consequence, the final virulence gene profiling of the isolated UPEC strains was patterned as cnf1, cnf1-upaH, cnf1-upaH-hlyA, and cnf1-upaH-hlyA-ibeA. The chi-square tests showed no significant correlations between virulence gene profile and UTIs, between virulence gene profile and antibiotic resistance, and between virulence genes and different types of UTIs. The cnf1 virulence gene contributes in the occurrence of all types of UTIs. In contrast to cnf1, the cdtB gene was absent in the isolated UPEC strains in this investigation. The most ineffective antibiotics were recognized as Penicillin, Tetracycline, and Nalidixic acid, respectively, while Streptomycin, Chloramphenicol, and Ciprofloxacin are the best options for UTIs treatment.

Entities:  

Keywords:  Gene profiling; Urinary tract infection; Uropathogenic Escherichia coli; Virulence factors

Mesh:

Substances:

Year:  2020        PMID: 31950434     DOI: 10.1007/s13353-020-00542-y

Source DB:  PubMed          Journal:  J Appl Genet        ISSN: 1234-1983            Impact factor:   3.240


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