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通过全基因组测序监测发现两例与人工泪液相关的广泛耐药铜绿假单胞菌暴发感染病例。

Two Artificial Tears Outbreak-Associated Cases of Extensively Drug-Resistant Pseudomonas aeruginosa Detected Through Whole Genome Sequencing-Based Surveillance.

机构信息

Microbial Genomic Epidemiology Laboratory, Center for Genomic Epidemiology, University of Pittsburgh.

Division of Infectious Diseases, University of Pittsburgh School of Medicine.

出版信息

J Infect Dis. 2024 Feb 14;229(2):517-521. doi: 10.1093/infdis/jiad318.

Abstract

We describe 2 cases of extensively drug-resistant Pseudomonas aeruginosa infection caused by a strain of public health concern, as it was 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 an isolate from our center and examined the mobile elements encoding blaVIM-80 and bla-GES-9 carbapenemases. We used publicly available Pseudomonas aeruginosa genomes to explore the genetic relatedness and antimicrobial resistance genes of the outbreak strain.

摘要

我们描述了两例广泛耐药铜绿假单胞菌感染病例,感染源菌株为公共卫生关注菌株,因其最近与受污染人工泪液导致的全国性爆发有关。两例病例均通过增强型医院传播检测系统(EDS-HAT)的基因组数据库审查检测到,这是一项常规的基于基因组测序的监测项目。我们从我们中心的一个分离株中为爆发菌株生成了高质量的参考基因组,并检测了编码 blaVIM-80 和 bla-GES-9 碳青霉烯酶的移动元件。我们使用公开的铜绿假单胞菌基因组来探索爆发菌株的遗传相关性和抗微生物药物耐药基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/16ea/10873170/55b4b9736cab/jiad318f1.jpg

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