Antibiotics Resistance Profile of Clinical Isolates of Pseudomonas aeruginosa Obtained from Farwaniya Hospital in Kuwait Using Phenotypic and Molecular Methods

利用表型和分子方法分析从科威特法尔瓦尼亚医院获得的铜绿假单胞菌临床分离株的抗生素耐药性谱

阅读:1

Abstract

Background/Objectives: The World Health Organization has recognized Pseudomonas aeruginosa as a multidrug-resistant bacterium that presents public health concerns. This study aimed to evaluate the prevalence of MDR P. aeruginosa isolates along with their susceptibility profiles and determine the genetic basis of resistance. Methods: A total of 100 P. aeruginosa isolates were cultured on MacConkey agar with various specimens from patients admitted to ICUs and wards. Species identification was performed for each isolate using the VITEK(®) 2 system. Each isolate was tested for susceptibility to specific antibiotics by the broth microdilution method. The resistance genes were detected by molecular methods, i.e., PCR and Sangar sequencing. Results: Among the 100 P. aeruginosa isolates tested phenotypically, 33 MDR P. aeruginosa isolates were detected. The aminoglycoside group of antibiotics showed the least resistance against P. aeruginosa, with increasing resistance to carbapenems and ciprofloxacin. The most prevalent detected genes responsible for resistance were blaVEB, blaVIM, aac (6')-Ib, and qnr S. DNA sequencing results for the MDR isolates showed that 14 isolates had Thr-83> Ile mutation in gyrA, and 12 isolates had Ser-87>Leu mutation in parC genes. Conclusions: We conclude that the low rates of resistance to certain antibiotics, such as amikacin and piperacillin-tazobactam, seem encouraging to be effective for the treatment of Pseudomonas infections. Furthermore, the prominent mechanisms of resistance to fluoroquinolones in clinical strains of P. aeruginosa include mutations in gyrA and parC genes. These findings highlight the necessity of molecular diagnostics in guiding therapy and the potential need for broader surveillance.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。