Department of Microbiology and Immunology, Faculty of Pharmacy, Ahram Canadian University, Giza, Egypt.
Department of Microbiology and Immunology, Faculty of Pharmacy, Cairo University, Cairo, Egypt.
Sci Rep. 2019 Mar 12;9(1):4224. doi: 10.1038/s41598-019-39730-0.
The rapid emergence of multiresistant microbial pathogens, dubbed superbugs, is a serious threat to human health. Extended spectrum beta lactamase (ESBL)-producing Escherichia coli is a superbug causing worldwide outbreaks, necessitating timely and accurate tracking of resistant strains. Accordingly, this study was designed to investigate the spread of ESBL-producing Escherichia coli isolates, to analyze the effect of different genotypic and phenotypic factors on in vitro resistance patterns, and to assess the diagnostic value of commonly used ESBL genetic markers. For that purpose, we cultured 250 clinical isolates and screened their susceptibility to beta-lactam antibiotics. Among 12 antibiotics screened, only imipenem seems to have remained resilient. We subsequently analyzed the ESBL phenotype of Escherichia coli isolates and examined potential associations between their resistance phenotypes and patient-related factors. ESBL genotyping of 198 multiresistant isolates indicated that 179 contained at least one bla gene. As we statistically dissected the data, we found associations between overall resistance and body site / type of disease. Additionally, we confirmed the diagnostic value of testing both bla and bla in providing better prediction of overall resistance. Finally, on sequencing the amplification products of detected bla genes, we discovered two novel variants, which we named bla and bla
多药耐药微生物病原体（被称为超级细菌）的快速出现对人类健康构成了严重威胁。产Extended spectrum beta lactamase (ESBL) 的大肠杆菌是一种引起世界范围爆发的超级细菌，需要及时准确地跟踪耐药菌株。因此，本研究旨在调查产 ESBL 的大肠杆菌分离株的传播情况，分析不同基因型和表型因素对体外耐药模式的影响，并评估常用 ESBL 遗传标记的诊断价值。为此，我们培养了 250 株临床分离株，并筛选了它们对β-内酰胺类抗生素的敏感性。在所筛选的 12 种抗生素中，只有亚胺培南似乎仍然具有耐药性。随后，我们分析了大肠杆菌分离株的 ESBL 表型，并检查了它们的耐药表型与患者相关因素之间的潜在关联。对 198 株多药耐药分离株的 ESBL 基因分型表明，其中 179 株至少含有一个 bla 基因。在对数据进行统计学分析时，我们发现总体耐药性与身体部位/疾病类型之间存在关联。此外，我们还证实了同时检测 bla 和 bla 的诊断价值，这可以更好地预测总体耐药性。最后，在对检测到的 bla 基因的扩增产物进行测序后，我们发现了两种新的变体，分别命名为 bla 和 bla。
