Suppr超能文献

精准鉴定肠道微生物组中的多种血流感染病原体。

Precision identification of diverse bloodstream pathogens in the gut microbiome.

机构信息

Department of Genetics, Stanford University, Stanford, CA, USA.

Department of Medicine, Division of Infectious Diseases and Geographic Medicine, Stanford University, Stanford, CA, USA.

出版信息

Nat Med. 2018 Dec;24(12):1809-1814. doi: 10.1038/s41591-018-0202-8. Epub 2018 Oct 15.

Abstract

A comprehensive evaluation of every patient with a bloodstream infection includes an attempt to identify the infectious source. Pathogens can originate from various places, such as the gut microbiota, skin and the external environment. Identifying the definitive origin of an infection would enable precise interventions focused on management of the source. Unfortunately, hospital infection control practices are often informed by assumptions about the source of various specific pathogens; if these assumptions are incorrect, they lead to interventions that do not decrease pathogen exposure. Here, we develop and apply a streamlined bioinformatic tool, named StrainSifter, to match bloodstream pathogens precisely to a candidate source. We then leverage this approach to interrogate the gut microbiota as a potential reservoir of bloodstream pathogens in a cohort of hematopoietic cell transplantation recipients. We find that patients with Escherichia coli and Klebsiella pneumoniae bloodstream infections have concomitant gut colonization with these organisms, suggesting that the gut may be a source of these infections. We also find cases where typically nonenteric pathogens, such as Pseudomonas aeruginosa and Staphylococcus epidermidis, are found in the gut microbiota, thereby challenging the existing informal dogma of these infections originating from environmental or skin sources. Thus, we present an approach to distinguish the source of various bloodstream infections, which may facilitate more accurate tracking and prevention of hospital-acquired infections.

摘要

对每一例血流感染患者进行全面评估时,都应尝试确定感染源。病原体可能来自多个部位,如肠道微生物群、皮肤和外部环境。明确感染的确切来源可以实现针对源头管理的精准干预。遗憾的是,医院感染控制实践通常基于对各种特定病原体来源的假设;如果这些假设不正确,则会导致无法减少病原体暴露的干预措施。在这里,我们开发并应用了一种简化的生物信息学工具,名为 StrainSifter,可将血流病原体与候选源头进行精确匹配。然后,我们利用这种方法来探究造血细胞移植受者队列中肠道微生物群作为血流病原体潜在储库的作用。我们发现,患有大肠埃希菌和肺炎克雷伯菌血流感染的患者同时存在这些生物体的肠道定植,这表明肠道可能是这些感染的源头。我们还发现了一些通常非肠道病原体(如铜绿假单胞菌和表皮葡萄球菌)存在于肠道微生物群中的情况,从而对这些感染源自环境或皮肤来源的现有非正式观念提出了挑战。因此,我们提出了一种区分各种血流感染源头的方法,这可能有助于更准确地追踪和预防医院获得性感染。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bf11/6289251/3dbc3030df2d/nihms-1504517-f0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验