Genotypic identification of Pseudomonas aeruginosa strains isolated from patients with urinary tract infection

Autor: Amin Radmanesh, Mohammad Reza Ghadirzadeh, Jamil Kheirvari Khezerloo, Jamshid Raheb, Mohsen Tabasi, Fatemah Sadeghpour Heravi, Mohammad Estaji, Azardokht Tabatabaei
Rok vydání: 2019
Předmět:
Zdroj: Comparative Immunology, Microbiology and Infectious Diseases. 65:23-28
ISSN: 0147-9571
DOI: 10.1016/j.cimid.2019.03.014
Popis: Background Numerous nosocomial infections including urinary tract infection (UTI) have been reported to be linked to Pseudomonas aeruginosa (P. aeruginosa). This bacterium is one of the most common pathogen colonized in the urinary tract. The main purpose of this study was to evaluated the presence of antibiotic resistance genes and also the most frequent genotype patterns of P. aeruginosa in the patients with UTI hospitalized in different wards of hospitals. Materials and methods In this study, 70 strains of P. aeruginosa isolated of urine samples from the patients with UTI were assessed. The isolated strains were genotyped using Multiple-Locus Variable Number Tandem Repeat Analysis (MLVA) method. We have also analyzed the presence of TEM and SHV resistant genes in the isolates. Results A total of 70 P. aeruginosa strains was isolated from the UTI patients. Based on MLVA method, 61 various genotypes of P. aeruginosa were identified which grouped into two main clusters and 4 sub-clusters. Moreover, approximately 80% and 70% of isolated strains carried the TEM and SHV resistance genes, respectively. Conclusion Our findings showed that the majority of patients hospitalized in different wards of hospitals have experienced the urinary tract infection caused by P. aeruginosa. According to the genotyping results, a high diversity of the P. aeruginosa population was observed in the patients with UTI. Our results can provide a better understanding of the P. aeruginosa genotype distribution and epidemiology of infection, which can be applied as basic data for future antibiotic therapies.
Databáze: OpenAIRE