切换至 "中华医学电子期刊资源库"

中华临床实验室管理电子杂志 ›› 2016, Vol. 04 ›› Issue (03) : 134 -138. doi: 10.3877/cma.j.issn.2095-5820.2016.03.002

所属专题: 文献

专家论坛

用全基因组测序追踪临床重要耐药菌院内感染的暴发流行
蒋琰1, 俞云松1,()   
  1. 1. 310016 浙江大学医学院附属邵逸夫医院感染科 浙江省微生物技术与生物信息研究重点实验室
  • 收稿日期:2016-08-16 出版日期:2016-08-28
  • 通信作者: 俞云松
  • 基金资助:
    浙江省重点研发计划资助课题(2015C03046); 浙江省医药卫生平台骨干人才计划资助课题(2013RCA030)

Tracking the hospital-acquired infections outbreak of multi-drug resistant bacteria with whole genome sequencing

Yan Jiang1, Yunsong Yu1,()   

  1. 1. Department of Infectious Diseases, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou 310016, China
  • Received:2016-08-16 Published:2016-08-28
  • Corresponding author: Yunsong Yu
  • About author:
    Corresponding author: Yu Yunsong, Email:
引用本文:

蒋琰, 俞云松. 用全基因组测序追踪临床重要耐药菌院内感染的暴发流行[J/OL]. 中华临床实验室管理电子杂志, 2016, 04(03): 134-138.

Yan Jiang, Yunsong Yu. Tracking the hospital-acquired infections outbreak of multi-drug resistant bacteria with whole genome sequencing[J/OL]. Chinese Journal of Clinical Laboratory Management(Electronic Edition), 2016, 04(03): 134-138.

新一代高通量测序技术的成熟和普及使微生物基因组学获得长足发展,采用全基因组序列分析追踪和溯源临床重要耐药菌院内感染的暴发,已成为近年临床微生物研究领域的热点,并形成了一个新的学科方向——基因组流行病学。在将全基因组序列分析用于临床耐药菌流行溯源时,可利用基因组数据的强大分辨率和丰富信息,在进行菌株充分分型的基础上,更精确地判断耐药菌同源性的远近,分辨出不同的进化路线,推断耐药菌在医院环境中的演化过程,这对临床耐药菌院内感染控制工作意义重大。

The development of next-generation high-throughput sequencing technology promotes the growth of microbial genomics increasingly. Whole-genome sequencing (WGS) has been considered as a promising tool for tracking and tracing transmission pathways in outbreaks caused by multidrug-resistant bacteria. This hot spot of clinical microbial research has developed a burgeoning academic field dubbed genomic epidemiology. Based on the powerful discriminatory capability in molecular typing and abundant data from WGS, people could identify the homology of multidrug-resistant bacteria at great length, elucidate their novel transmission route and decipher their evolution process in the hospital environment. They are significant for clinical infections control.

图1 传统流行病学和WGS方法确定18例患者中耐药菌株流行溯源效果图
图2 WGS分析细菌基因组同源关系的步骤图
1
Metzker ML. Sequencing technologies-the next generation [J]. Nat Rev Genet, 2010,11(1):31-46.
2
Goodwin S, McPherson JD, McCombie WR. Coming of age: ten years of next-generation sequencing technologies [J]. Nat Rev Genet, 2016,17(6):333-351.
3
Liu L, Li Y, Li S, et al. Comparison of next-generation sequencing systems [J]. J Biomed Biotechnol, 2012,2012:251364.
4
Gilchrist CA, Turner SD, Riley MF, et al. Whole-genome sequencing in outbreak analysis [J]. Clin Microbiol Rev, 2015,28(3):541-563.
5
Wilson MK, Lane AB, Law BF, et al. Analysis of the pan genome of Campylobacter jejuni isolates recovered from poultry by pulsed-field gel electrophoresis, multilocus sequence typing (MLST), and repetitive sequence polymerase chain reaction (rep-PCR) reveals different discriminatory capabilities [J]. Microb Ecol, 2009,58(4):843-855.
6
Koser CU, Holden MT, Ellington MJ, et al. Rapid whole-genome sequencing for investigation of a neonatal MRSA outbreak [J]. N Engl J Med, 2012,366(24):2267-2275.
7
Harris SR, Cartwright EJ, Torok ME, et al. Whole-genome sequencing for analysis of an outbreak of meticillin-resistant Staphylococcus aureus: a descriptive study [J]. Lancet Infect Dis, 2013,13(2):130-136.
8
Snitkin ES, Zelazny AM, Thomas PJ, et al. Tracking a hospital outbreak of carbapenem-resistant Klebsiella pneumoniae with whole-genome sequencing [J]. Sci Transl Med, 2012,4(148):148ra116.
9
Kupferschmidt K. Infectious diseases. Genome study helps contain MRSA outbreak--and breeds new questions [J]. Science, 2012,338(6110):1019.
10
Diep BA. Use of whole-genome sequencing for outbreak investigations [J]. Lancet Infect Dis,2013,13(2):99-101.
11
Gardy JL. Investigation of disease outbreaks with genome sequencing [J]. Lancet Infect Dis, 2013,13(2):101-102.
12
Fu S, Octavia S, Tanaka MM, et al. Defining the Core Genome of Salmonella enterica Serovar Typhimurium for Genomic Surveillance and Epidemiological Typing [J]. J Clin Microbiol, 2015,53(8):2530-2538.
[1] 杜祖升, 赵博文, 张帧, 潘美, 彭晓慧, 陈冉, 毛彦恺. 应用二维斑点追踪成像技术评估孕周及心尖方向对中晚孕期正常胎儿左心房应变的影响[J/OL]. 中华医学超声杂志(电子版), 2024, 21(09): 843-851.
[2] 张帧, 赵博文, 潘美, 彭晓慧, 陈冉, 田园诗, 陈阳. 二维斑点追踪技术评价正常中晚孕期胎儿右心房功能的初步研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(04): 384-390.
[3] 陈思骄, 刘娅妮, 张艺. 右心室心肌自动功能成像对冠状动脉旁路移植术后短期不良事件的风险预测价值[J/OL]. 中华医学超声杂志(电子版), 2024, 21(02): 114-120.
[4] 孟庆国, 唐艺加, 王斯佳, 周杰, 冯天航, 刘学兵, 舒庆兰, 邓燕, 尹立雪, 李春梅. 斑点追踪成像和组织多普勒同步成像对不同起搏模式下左心室心肌同步性的评估[J/OL]. 中华医学超声杂志(电子版), 2023, 20(12): 1223-1230.
[5] 张婉微, 秦芸芸, 蔡绮哲, 林明明, 田润雨, 金姗, 吕秀章. 心肌收缩早期延长对非ST段抬高型急性冠脉综合征患者冠状动脉严重狭窄的预测价值[J/OL]. 中华医学超声杂志(电子版), 2023, 20(10): 1016-1022.
[6] 刘丹妮, 敖梦, 冉海涛, 李世玉, 秦芳. 三维超声心动图及二维斑点追踪成像对持续性心房颤动复律后双心房逆向重构的评估[J/OL]. 中华医学超声杂志(电子版), 2023, 20(08): 827-835.
[7] 谭芳, 杨娇娇, 沈玉琴, 李炎菲海, 王海蕊, 范思涵, 纪学芹. 胎儿心脏定量分析技术对正常胎儿心脏形态及收缩功能的评价[J/OL]. 中华医学超声杂志(电子版), 2023, 20(06): 598-604.
[8] 陈红, 阮骊韬, 师桃, 郭锋伟, 郝军军, 闫炀, 尚佳楠, 宋艳. 右心室心肌应变与左心室辅助装置植入后早期右心衰竭的相关性研究[J/OL]. 中华危重症医学杂志(电子版), 2024, 17(01): 26-31.
[9] 薛庆, 施赛叶, 徐雅文, 盛夏, 张芹芹. 追踪方法学联合失效模式与效应分析在膀胱灌注化疗患者中的应用[J/OL]. 中华腔镜泌尿外科杂志(电子版), 2024, 18(06): 553-559.
[10] 孙晓林, 潘世琴, 何宗钊, 马四清, 马琴. 化脓性链球菌感染致AIPF患者的护理一例[J/OL]. 中华重症医学电子杂志, 2024, 10(01): 90-96.
[11] 吴丽滢, 陈广树, 熊晓清, 冉建民. SARS-CoV-2感染后诱发暴发性1型糖尿病合并多器官损害一例[J/OL]. 中华临床医师杂志(电子版), 2024, 18(01): 109-112.
[12] 薛念余, 张盛敏, 吴凌恒, 沙蕾, 童揽月, 沈崔琴, 李朝军, 杜联芳. 研究血清胆红素对2型糖尿病患者心脏结构发生改变前心肌功能的影响[J/OL]. 中华临床医师杂志(电子版), 2023, 17(09): 1004-1009.
[13] 黄灏宇, 庄泽森, 林万庆, 石娇, 袁旭, 王单, 周晓媚, 万义文, 林源, 陈尚杰. 调神益智艾灸治疗遗忘型轻度认知障碍的弥散张量成像研究[J/OL]. 中华针灸电子杂志, 2024, 13(02): 58-64.
[14] 袁健瑜, 梁铭垚, 何祎, 单鸿. 骨架化弥散指数在识别年龄相关鼠脑微结构改变中的应用效果[J/OL]. 中华介入放射学电子杂志, 2024, 12(02): 114-119.
[15] 陈滢双, 石高羽, 王杭悦, 杨杨, 瞿先国. 社会支持在老年人抑郁与衰弱间的中介作用[J/OL]. 中华老年病研究电子杂志, 2024, 11(01): 18-23.
阅读次数
全文


摘要