Mendes Rodrigo E, Jones Ronald N, Woosley Leah N, Cattoir Vincent, Castanheira Mariana
JMI Laboratories, North Liberty, Iowa.
University Hospital of Rennes, Department of Clinical Microbiology, Rennes, France.
Open Forum Infect Dis. 2019 Mar 15;6(Suppl 1):S69-S78. doi: 10.1093/ofid/ofz004. eCollection 2019 Mar.
Sequencing technologies and techniques have seen remarkable transformation and innovation that have significantly affected sequencing capability. Data analyses have replaced sequencing as the main challenge. This paper provides an overview on applying next-generation sequencing (NGS) and analysis and discusses the benefits and challenges. In addition, this document shows results from using NGS and bioinformatics tools to screen for β-lactamase genes and assess the epidemiological structure of and -causing bloodstream (BSIs) and urinary tract (UTIs) infections in patients hospitalized in the United States during the SENTRY Antimicrobial Surveillance Program for 2016.
A total of 3525 isolates (2751 and 774 ) causing BSIs (n = 892) and UTIs (n = 2633) in hospitalized patients in the United States were included. Isolates were tested for susceptibility by broth microdilution, and those that met a minimum inhibitory concentration (MIC)-based screening criteria had their genomes sequenced and analyzed.
A total of 11.6% and 16.1% of causing UTIs and BSIs, respectively, met the MIC-based criteria, whereas 11.0% and 13.7% of isolates causing UTIs and BSIs, respectively, met the criteria. Among , variants (87.6% overall) prevailed (60.5% of CTX-M group 1 and 26.9% of group 9). A total of 60.3% of isolates carried variants (52.7% and 7.6% of groups 1 and 9, respectively). Two (0.6%) and 13 (12.9%) isolates harbored . Among KPC-producing (2 from BSIs and 11 from UTIs), 84.6% (11/13) were ST258 (CC258). Seventeen and 38 unique clonal complexes (CCs) were noted in that caused BSIs and UTIs, respectively, and CC131 (or ST131) was the most common CC among BSI (53.6%) and UTI (58.2%) isolates. Twenty-three and 26 CCs were noted among -causing BSIs and UTIs, respectively. CC258 (28.3%) prevailed in UTI pathogens, whereas CC307 (15.0%) was the most common CC among BSI isolates.
This study provides a benchmark for the distribution of β-lactamase genes and the population structure information for the most common species responsible for BSIs and UTIs in US medical centers during the 2016 SENTRY Program.
测序技术和方法已经历了显著的变革与创新,这极大地影响了测序能力。数据分析已取代测序成为主要挑战。本文概述了下一代测序(NGS)及其应用和分析,并讨论了其益处与挑战。此外,本文展示了使用NGS和生物信息学工具筛选β-内酰胺酶基因以及评估2016年哨兵抗菌监测计划期间在美国住院患者中引起血流感染(BSIs)和尿路感染(UTIs)的大肠埃希菌和肺炎克雷伯菌的流行病学结构的结果。
纳入了在美国住院患者中引起BSIs(n = 892)和UTIs(n = 2633)的总共3525株分离株(2751株大肠埃希菌和774株肺炎克雷伯菌)。通过肉汤微量稀释法检测分离株的药敏性,对符合基于最低抑菌浓度(MIC)的筛选标准的分离株进行全基因组测序和分析。
分别有11.6%和16.1%引起UTIs和BSIs的大肠埃希菌符合基于MIC的标准,而分别有11.0%和13.7%引起UTIs和BSIs的肺炎克雷伯菌分离株符合该标准。在大肠埃希菌中,CTX-M型变体(总体占87.6%)占主导(CTX-M组1的60.5%和组9的26.9%)。总共60.3%的肺炎克雷伯菌分离株携带CTX-M变体(组1和组9分别占52.7%和7.6%)。两株大肠埃希菌(0.6%)和13株肺炎克雷伯菌(12.9%)分离株携带KPC。在产KPC的肺炎克雷伯菌中(2株来自BSIs,11株来自UTIs),84.6%(11/13)为ST258(CC258)。在引起BSIs的大肠埃希菌中发现了17个独特的克隆复合体(CCs),在引起UTIs的大肠埃希菌中发现了38个独特的CCs,CC131(或ST131)是BSI(53.6%)和UTI(58.2%)分离株中最常见的CC。在引起BSIs和UTIs的肺炎克雷伯菌中分别发现了23个和26个CCs。CC258(28.3%)在UTI病原体中占主导,而CC307(15.0%)是BSI分离株中最常见的CC。
本研究为2016年哨兵计划期间美国医疗中心中引起BSIs和UTIs的最常见大肠埃希菌和肺炎克雷伯菌物种的β-内酰胺酶基因分布和群体结构信息提供了一个基准。