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用于鉴定和追踪医院相关的多重耐药菌的方法。

Approaches for characterizing and tracking hospital-associated multidrug-resistant bacteria.

机构信息

The Edison Family Center for Genome Sciences & Systems Biology, Washington University School of Medicine, St. Louis, MO, 63110, USA.

Department of Molecular Microbiology, Washington University School of Medicine, St. Louis, MO, 63110, USA.

出版信息

Cell Mol Life Sci. 2021 Mar;78(6):2585-2606. doi: 10.1007/s00018-020-03717-2. Epub 2021 Feb 13.

Abstract

Hospital-associated infections are a major concern for global public health. Infections with antibiotic-resistant pathogens can cause empiric treatment failure, and for infections with multidrug-resistant bacteria which can overcome antibiotics of "last resort" there exists no alternative treatments. Despite extensive sanitization protocols, the hospital environment is a potent reservoir and vector of antibiotic-resistant organisms. Pathogens can persist on hospital surfaces and plumbing for months to years, acquire new antibiotic resistance genes by horizontal gene transfer, and initiate outbreaks of hospital-associated infections by spreading to patients via healthcare workers and visitors. Advancements in next-generation sequencing of bacterial genomes and metagenomes have expanded our ability to (1) identify species and track distinct strains, (2) comprehensively profile antibiotic resistance genes, and (3) resolve the mobile elements that facilitate intra- and intercellular gene transfer. This information can, in turn, be used to characterize the population dynamics of hospital-associated microbiota, track outbreaks to their environmental reservoirs, and inform future interventions. This review provides a detailed overview of the approaches and bioinformatic tools available to study isolates and metagenomes of hospital-associated bacteria, and their multi-layered networks of transmission.

摘要

医院相关性感染是全球公共卫生的主要关注点。具有抗生素耐药性病原体的感染可能导致经验性治疗失败,而对于能够克服“最后手段”抗生素的多药耐药细菌感染,则没有其他替代治疗方法。尽管有广泛的消毒方案,但医院环境是抗生素耐药生物体的强大储存库和载体。病原体可以在医院表面和管道中存活数月至数年,通过水平基因转移获得新的抗生素耐药基因,并通过医护人员和访客传播给患者引发医院相关性感染的爆发。细菌基因组和宏基因组的下一代测序技术的进步扩展了我们的能力,可以:(1)识别物种并跟踪不同的菌株;(2)全面分析抗生素耐药基因;(3)解析促进细胞内和细胞间基因转移的移动元件。反过来,这些信息可用于描述医院相关微生物群的种群动态,追踪暴发的环境来源,并为未来的干预措施提供信息。本综述详细介绍了用于研究医院相关细菌的分离物和宏基因组及其多层次传播网络的方法和生物信息学工具。

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