通过基于全基因组测序的监测发现两例与人工泪液暴发相关的广泛耐药病例。
Two artificial tears outbreak-associated cases of XDR detected through whole genome sequencing-based surveillance.
作者信息
Sundermann Alexander J, Srinivasa Vatsala Rangachar, Mills Emma G, Griffith Marissa P, Waggle Kady D, Ayres Ashley M, Pless Lora, Snyder Graham M, Harrison Lee H, Van Tyne Daria
机构信息
Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Division of Infectious Diseases, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA.
出版信息
medRxiv. 2023 Apr 17:2023.04.11.23288417. doi: 10.1101/2023.04.11.23288417.
We describe two cases of XDR infection caused by a strain of public health concern recently associated with a nationwide outbreak of contaminated artificial tears. Both cases were detected through database review of genomes in the Enhanced Detection System for Hospital-Associated Transmission (EDS-HAT), a routine genome sequencing-based surveillance program. We generated a high-quality reference genome for the outbreak strain from one of the case isolates from our center and examined the mobile elements encoding and carbapenemases. We then used publicly available genomes to explore the genetic relatedness and antimicrobial resistance genes of the outbreak strain.
我们描述了两例由一种引起公共卫生关注的菌株导致的广泛耐药性感染病例，该菌株最近与全国范围内受污染人工泪液的爆发有关。这两例病例都是通过医院相关传播强化检测系统（EDS-HAT）中的基因组数据库审查发现的，EDS-HAT是一个基于常规基因组测序的监测项目。我们从我们中心的一例病例分离株中为爆发菌株生成了一个高质量的参考基因组，并检查了编码[此处原文缺失相关蛋白名称]和碳青霉烯酶的移动元件。然后，我们使用公开可用的基因组来探索爆发菌株的遗传相关性和抗菌耐药基因。
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