Sivarajan Vidhyalakshmi, Mudaliar Yogesh, Nagaraj Priyanka, Natarajan Balakrishnan Mathi Roshini, Manikandan Nithyasri, Sree Kavya, Raj Marquess, Jothiraj Meera, Perumal Kumar
Department of Biotechnology, Sri Ramachandra Institute of Higher Education and Research, Porur, Chennai, Tamil Nadu India.
Department of Health Science & Sustainable Development, Università del Piemonte Orientale, Vercelli, Italy.
Indian J Microbiol. 2024 Jun;64(2):467-474. doi: 10.1007/s12088-023-01125-1. Epub 2023 Nov 28.
The current study evaluates antibiotic susceptibility and Extended Spectrum β-Lactamase (ESBL) production of 557 isolates obtained from clean catch midstream urine samples using VITEK 2 compact automated microbial identification system. Different classes of drugs were used to determine the Minimum inhibitory concentration (MIC). In our study, 50.45% of isolates were ESBL producers. There is a higher incidence of UTI in females (77.4%) than in males (22.6%). The isolates reveal a high percentage of resistance to antibiotics like nalidixic acid (89.59%), ampicillin (75.76%), ticarcillin (73.43%), cefalotin (67.68%), cefixime (65.17%), ciprofloxacin (58.35%) and ceftriaxone (56.37%). An increased susceptibility pattern was observed for the isolates against drug classes like fosfomycin (98.03%) and nitrofurantoin (91.02%). Among the isolates, 395 (70.91%) were classified as Multidrug-resistant organisms based on the resistance pattern observed against three or more classes of antibiotics. One of the isolates resistant to fluoroquinolones, penicillins, penicillins along with β-lactamase inhibitor, aminoglycosides, third-generation cephalosporins and carbapenems was subjected to Whole genome sequencing (WGS). WGS data revealed the isolate to be a high-risk clone ST410, which contains antimicrobial-resistance genes (, , , , , conferring resistance to β-lactam, cephalosporins, carbapenem, aminoglycoside and fluoroquinolone class of antibiotics. The core genome MLST was carried out using BacWGSTdb to assess the global phylogenetic relationship of the genome sequence.
The online version contains supplementary material available at 10.1007/s12088-023-01125-1.
本研究使用VITEK 2 compact全自动微生物鉴定系统评估了从清洁中段尿样本中获得的557株分离菌的抗生素敏感性和超广谱β-内酰胺酶(ESBL)产生情况。使用不同类别的药物来确定最低抑菌浓度(MIC)。在我们的研究中,50.45%的分离菌产ESBL。女性尿路感染的发生率(77.4%)高于男性(22.6%)。这些分离菌对多种抗生素呈现出较高的耐药率,如萘啶酸(89.59%)、氨苄西林(75.76%)、替卡西林(73.43%)、头孢噻吩(67.68%)、头孢克肟(65.17%)、环丙沙星(58.35%)和头孢曲松(56.37%)。观察到分离菌对磷霉素(98.03%)和呋喃妥因(91.02%)等药物类别的敏感性增加。在这些分离菌中,根据对三类或更多类抗生素的耐药模式,395株(70.91%)被归类为多重耐药菌。对一株对氟喹诺酮类、青霉素类、青霉素类加β-内酰胺酶抑制剂、氨基糖苷类、第三代头孢菌素类和碳青霉烯类耐药的分离菌进行了全基因组测序(WGS)。WGS数据显示该分离菌是一个高风险克隆ST410,其含有赋予对β-内酰胺类、头孢菌素类、碳青霉烯类、氨基糖苷类和氟喹诺酮类抗生素耐药性的抗菌耐药基因(、、、、、)。使用BacWGSTdb进行核心基因组多位点序列分型,以评估基因组序列的全球系统发育关系。
在线版本包含可在10.1007/s12088-023-01125-1获取的补充材料。