Metagenomics for Clinical Infectious Disease Diagnostics Steps Closer to Reality

被引：26

作者：

Dekker, John P. ^{[1
]}

机构：

[1] NIH, Clin Ctr, Dept Lab Med, Bldg 10, Bethesda, MD 20892 USA

来源：

JOURNAL OF CLINICAL MICROBIOLOGY | 2018年 / 56卷 / 09期

基金：

美国国家卫生研究院;

关键词：

JOINT INFECTION; IDENTIFICATION; GENOME; DNA; ENCEPHALITIS; PATHOGENS; SAMPLES; MARKER; IMPACT;

D O I：

10.1128/JCM.00850-18

中图分类号：

Q93 [微生物学];

学科分类号：

071005 ; 100705 ;

摘要：

Metagenomics approaches based on shotgun next-generation sequencing hold promise for infectious disease diagnostics. Despite substantial challenges that remain, work done over the past few years justifies excitement about the potential for these approaches to transform how clinical pathogen identification and analysis are performed. In an article in this issue of the Journal of Clinical Microbiology, M. I. Ivy et al. (J Clin Microbiol 56:e00402-18, 2018, https://doi.org/10.1128/JCM.00402-18) have applied a shotgun metagenomics approach to the diagnosis of prosthetic joint infections directly from synovial fluid. The results from this work demonstrate both the potentials and challenges of this approach applied in the clinical microbiology laboratory.

引用

页数：7

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