期刊
EXPERT REVIEW OF ANTI-INFECTIVE THERAPY
卷 20, 期 3, 页码 463-472出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/14787210.2022.1990040
关键词
Klebsiella pneumoniae; antibiotic resistance; ESBL; virulence genes; molecular typing
资金
- Elite Researcher Grant Committee from the National Institutes for Medical Research Development (NIMAD), Tehran, Iran [982964]
This study identified and characterized clinical strains of Klebsiella pneumoniae, revealing a high prevalence of antibiotic resistance and virulence genes. The study highlights the significant pathogenic potential of isolated pathotypes of K. pneumoniae.
Background Klebsiella pneumoniae is armed with a wide range of antibiotic resistance mechanisms that mostly challenge effective treatment. The aims of the current study were to identify the clinical strains of K. pneumoniaealso to determine their phenotypes and molecular characterization related to antimicrobial resistance and virulence genes. Research design and methods In this investigation, clinical specimens from different hospitals located in Tehran, Iran, were collected during a nine-month period (December 2018 to August 2019). The K. pneumoniae strains were isolated and identified through standard microbial and biochemical assays. Additionally, disk diffusion, combined disk, Modified Hodge Test (MHT) and PCR were performed for antibiotic resistance and virulence gene analysis, respectively. Results Eighty-four isolates of K. pneumoniae were subjected to the study. According to the combined disk and modified Hodge test results, 27 (52%) and 15 pathotypes (62.5%) out of resistant strains of isolated K. pneumoniae were detected as ESBL and KPC producers. The virulence genes of mrkD (94%) and magA (11%) were the highest and lowest among isolates, respectively. Conclusions The high prevalence of antibiotic resistance and virulence genes in conjunction with a significant relationship between the strains revealed a high pathogenic capacity of the isolated pathotypes of K. pneumoniae.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据