2023年浙江省湖州市一起副溶血弧菌引起的食源性疾病暴发事件病原学分析

Etiological analysis on a foodborne disease outbreak caused by Vibrio parahaemolyticus in Huzhou, Zhejiang, 2023

  • 摘要:
    目的 对2023年浙江省湖州市一起食源性暴发事件进行病原菌的鉴定和溯源分析,查明事件暴发的原因。
    方法 采集此次事件中相关人员的肛拭子、粪便和涂抹物等样本进行致病菌分离培养。 经Filmarray多病原分子检测系统初筛后,用飞行质谱仪鉴定分离到的菌株,并进行药物敏感性试验。 采用脉冲场凝胶电泳(PFGE)方法对本次事件的检出菌进行聚类分析,并进行全基因组测序,通过基因注释和序列比对分析病原菌的毒力因子与耐药基因,基于单核苷酸多态性(SNP)构建系统发育树对病原菌进行溯源分析。
    结果 本次共分离出 8株副溶血弧菌,均来自患者。 8株菌分为O10:K4和O3:K6两个血清型,相同血清型菌株PFGE 带型相同,8株菌均对头孢唑啉耐药,且携带相同的耐药基因。 相同血清型菌株间SNP变异位点不超过9个,SNP进化分析提示相同血清型菌株同源。
    结论 副溶血弧菌为本次事件的致病菌。 全基因组测序技术可作为 PFGE 分子分型的补充应用于病原菌的监测和暴发事件调查。

     

    Abstract:
    Objective To understand the pathogens of a foodborne outbreak in Huzhou, Zhejiang province, in 2023, and identify the cause of this outbreak.
    Methods Multiple enteropathogens were detected by FilmArray, and the pathogen was subsequently isolated and cultured by using anal swabs, stool samples and smears. The isolated strains were identified by using VITEK Mass Spectrometry, and antimicrobial susceptibility test, pulsed-field gel electrophoresis (PFGE) molecular typing, and whole genome sequencing (WGS) were performed for the isolates of V. parahaemolyticus. Gene annotation and sequence alignment were used to analyze the virulence genes and drug resistance genes of the strains. A phylogenetic tree was constructed based on single nucleotide polymorphism (SNP), and homology analysis was conducted to trace the origin of the pathogens.
    Results A total of 8 strains of V. parahaemolyticus were isolated from the cases. Two serotypes, O10: K4 and O3: K6, were detected in the 8 strains, and the strains with same serotype had same PFGE pattern. All the 8 strains were resistant to cefazolin and carried same resistance gene. Less than 9 SNP variation loci were detected in the strains with same serotype. The phylogenetic tree based on SNP showed that the strains with same serotype were homologous.
    Conclusion This foodborne disease outbreak was caused by V. parahaemolyticus. WGS can be used as a complementary method to PFGE for epidemiological investigations of disease outbreaks.

     

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