Johnson James R, Russo Thomas A
VA Medical Center, Minneapolis, MN 55417.
VA Western New York Healthcare System, Department of Medicine, Department of Microbiology and Immunology, Witebsky Center for Microbial Pathogenesis and Immunology, University of Buffalo, Buffalo, NY 14214.
EcoSal Plus. 2018 Apr;8(1). doi: 10.1128/ecosalplus.ESP-0004-2017.
Extraintestinal pathogenic (ExPEC) are important pathogens in humans and certain animals. Molecular epidemiological analyses of ExPEC are based on structured observations of strains as they occur in the wild. By assessing real-world phenomena as they occur in authentic contexts and hosts, they provide an important complement to experimental assessment. Fundamental to the success of molecular epidemiological studies are the careful selection of subjects and the use of appropriate typing methods and statistical analysis. To date, molecular epidemiological studies have yielded numerous important insights into putative virulence factors, host-pathogen relationships, phylogenetic background, reservoirs, antimicrobial-resistant strains, clinical diagnostics, and transmission pathways of ExPEC, and have delineated areas in which further study is needed. The rapid pace of discovery of new putative virulence factors and the increasing awareness of the importance of virulence factor regulation, expression, and molecular variation should stimulate many future molecular epidemiological investigations. The growing sophistication and availability of molecular typing methodologies, and of the new computational and statistical approaches that are being developed to address the huge amounts of data that whole genome sequencing generates, provide improved tools for such studies and allow new questions to be addressed.
肠外致病性大肠杆菌(ExPEC)是人和某些动物中的重要病原体。ExPEC的分子流行病学分析基于对野外菌株的结构化观察。通过评估真实环境和宿主中出现的实际现象,它们为实验评估提供了重要补充。分子流行病学研究成功的基础是精心选择研究对象以及使用适当的分型方法和统计分析。迄今为止,分子流行病学研究已对ExPEC的假定毒力因子、宿主-病原体关系、系统发育背景、储存宿主、耐药菌株、临床诊断和传播途径产生了许多重要见解,并确定了需要进一步研究的领域。新假定毒力因子的快速发现以及对毒力因子调控、表达和分子变异重要性的认识不断提高,应会激发未来许多分子流行病学研究。分子分型方法以及为处理全基因组测序产生的大量数据而开发的新计算和统计方法日益复杂且易于获得,为此类研究提供了改进的工具,并允许解决新的问题。