| 北京市顺义区三起关联性副溶血弧菌食源性疾病暴发事件的识别与分析 |
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| 引用本文： | 李颖,张晴,张爽,张彦春,荆红波,马红梅,逄波.北京市顺义区三起关联性副溶血弧菌食源性疾病暴发事件的识别与分析[J].疾病监测,2019,34(4):371-376. |
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| 作者姓名： | 李颖 张晴 张爽 张彦春 荆红波 马红梅 逄波 |
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| 作者单位： | 北京市顺义区疾病预防控制中心,北京,101300;河北北方学院,河北张家口,075000;中国疾病预防控制中心传染病预防控制所,传染病预防控制国家重点实验室,北京102206 |
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| 基金项目： | 国家重点研发计划（No. 2016YFC1200103） |
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| 摘 要： | 目的分析3起由副溶血弧菌(VP)导致的食源性疾病暴发事件,利用国家致病菌识别网(China PIN)对其进行关联性分析。方法收集2018年8月北京市顺义区3起食源性疾病暴发事件的流行病学资料,采集可疑食品、环境和病例样本48份,进行菌株分离和鉴定,对分离的VP菌株进行脉冲场凝胶电泳(PFGE)分子分型,获得的指纹图谱通过致病菌识别网进行比对分析。结果 3起暴发事件中,共从12份病例样本和3份可疑食品样本中分离出15株O3:K6血清型VP,其种特异性基因和毒力基因检测结果为:toxR+/tdh+/trh-,根据PFGE指纹图谱可以将15株VP分成2个簇,每个簇中的指纹图谱相似度为100%。2个指纹图谱簇之间的相似度为93.94%;且与2014—2017年本地区China PIN分子分型数据库中分离自腹泻病例的VP菌株带型不成簇。结论 VP引起的3起食源性疾病暴发事件由共同的传染源导致,China PIN在食源性疾病暴发识别、溯源和关联性分析中有良好的应用前景。
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| 关 键 词： | 副溶血弧菌 脉冲场凝胶电泳 国家致病菌识别网 食源性疾病 |
| 收稿时间： | 2019-01-03 |
Identification and analysis of three correlated foodborne disease outbreaks caused by Vibrio parahaemolyticus in Shunyi,Beijing |
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| Affiliation: | 1.Shunyi District Center for Disease Control and Prevention, Beijing 101300, China2.Hebei North University, Zhangjiakou 075000, Heibei, China3.State Key Laboratory of Communicable Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China |
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| Abstract: | ObjectiveTo analyze three foodborne diseases outbreaks caused by Vibrio parahaemolyticu in Shunyi district of Beijing.MethodsThe epidemiological data, isolated pathogens from suspected contaminated food samples, environment samples and stool samples of diarrheal disease patient of three outbreaks were collected. Isolated V. parahaemolyticus strains were used for the molecular typing by ?pulsed-field?gel?electrophoresis(PFGE). The PFGE patterns were aligned analyzed by using Chinese Pathogen Identification Net (China PIN).ResultsFifteen V. parahaemolyticus strains(O3: K6, toxR+/tdh+/trh-)were isolated from 12 clinical samples of diarrhea patients and 3 suspected contaminated food samples. The PFGE patterns of the strains were divided into 2 closely related clusters. The patterns in each cluster shared 100% similarity, and the similarity of clusters between 2 patterns was 93.94%. These PFGE patterns of V. parahaemolyticus were not in the clusters detected in Shunyi from 2014 to 2017 according to China PIN.ConclusionThe 3 foodborne disease outbreaks caused by V. parahaemolyticus had common infection source. China PIN is a powerful tool for the detection and source tracing and correlation analysis of foodborne disease outbreaks. |
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