郭凯, 刘晓琳, 王伟栋, 曲剑英. 2014-2018年山东省青岛市腹泻病例中沙门菌分子分型及耐药分析[J]. 疾病监测, 2020, 35(4): 345-349. DOI: 10.3784/j.issn.1003-9961.2020.04.015
引用本文: 郭凯, 刘晓琳, 王伟栋, 曲剑英. 2014-2018年山东省青岛市腹泻病例中沙门菌分子分型及耐药分析[J]. 疾病监测, 2020, 35(4): 345-349. DOI: 10.3784/j.issn.1003-9961.2020.04.015
Kai Guo, Xiaolin Liu, Weidong Wang, Jianying Qu. Molecular typing and drug resistance of Salmonella in diarrhea cases in Qingdao, Shandong, 2014–2018[J]. Disease Surveillance, 2020, 35(4): 345-349. DOI: 10.3784/j.issn.1003-9961.2020.04.015
Citation: Kai Guo, Xiaolin Liu, Weidong Wang, Jianying Qu. Molecular typing and drug resistance of Salmonella in diarrhea cases in Qingdao, Shandong, 2014–2018[J]. Disease Surveillance, 2020, 35(4): 345-349. DOI: 10.3784/j.issn.1003-9961.2020.04.015

2014-2018年山东省青岛市腹泻病例中沙门菌分子分型及耐药分析

Molecular typing and drug resistance of Salmonella in diarrhea cases in Qingdao, Shandong, 2014–2018

  • 摘要:
    目的分析山东省青岛市2014 — 2018年腹泻病例中沙门菌的分子分型及耐药状况,为沙门菌引起的腹泻性疾病的预警、防控、溯源及抗生素的合理应用提供科学依据。
    方法对青岛市 2014 — 2018 年腹泻病例中分离的52株沙门菌采用微量肉汤稀释法进行耐药检测;应用脉冲场凝胶电泳(PFGE)进行分子分型,运用BioNumeries 7.6软件分析菌株之间的相似度。
    结果52株沙门菌以鼠伤寒沙门菌和肠炎沙门菌为主,PFGE分为31种带型,存在多次聚集现象。 分离菌株对氨苄西林耐药率最高(73.08%),其次为萘啶酸(57.69%),多重耐药率达44.23%。
    结论青岛市沙门菌呈散发、多重耐药趋势,总体耐药率较高,耐药谱广泛,应加强溯源及耐药监测。

     

    Abstract:
    ObjectiveTo understand the molecular types and drug resistance of Salmonella isolated from diarrhea cases in Qingdao during 2014–2018 and provide scientific basis for early warning, prevention, control and tracing of Salmonella infection and rational application of antibiotics.
    MethodsA total of 52 Salmonella strains isolated from diarrhea cases in Qingdao from 2014 to 2018 were detected for drug resistance by microbroth dilution method. The molecular typing was carried out by pulsed-field gel electrophoresis (PFGE). The similarity between strains was analyzed by software BioNumeries 7.6.
    ResultsThe 52 Salmonella strains were mainly S. typhimurium and S. enteritidis, which were divided into 31 PFGE types by Xba I enzyme. The results of PFGE analysis showed that there were multiple clustering phenomenon. The highest resistance rate was to ampicillin (73.08%), followed by that to naphthenic acid (57.69%). The multi-drug resistance rate was 44.23%.
    ConclusionIn Qingdao, Salmonella showed a trend of causing sporadic infection and multi-drug resistance, and the overall drug resistance rate was high. It suggested that tracing and drug resistance surveillance for Salmonella should be strengthened to prevent large-scale outbreak.

     

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