李颖, 周贵兰, 刘雨薇, 王苗, 闫爱霞, 李首飞, 王园园, 王海瑞, 彭涛, 张茂俊. 2021-2023北京市某区748例腹泻病例中弓形杆菌病原特征分析[J]. 疾病监测, 2024, 39(6): 732-737. DOI: 10.3784/jbjc.202402230117
引用本文: 李颖, 周贵兰, 刘雨薇, 王苗, 闫爱霞, 李首飞, 王园园, 王海瑞, 彭涛, 张茂俊. 2021-2023北京市某区748例腹泻病例中弓形杆菌病原特征分析[J]. 疾病监测, 2024, 39(6): 732-737. DOI: 10.3784/jbjc.202402230117
Li Ying, Zhou Guilan, Liu Yuwei, Wang Miao, Yan Aixia, Li Shoufei, Wang Yuanyuan, Wang Hairui, Peng Tao, Zhang Maojun. Pathogenic characteristics of Arcobacter isolated from 748 patients with diarrhea in a district of Beijing, 2021−2023[J]. Disease Surveillance, 2024, 39(6): 732-737. DOI: 10.3784/jbjc.202402230117
Citation: Li Ying, Zhou Guilan, Liu Yuwei, Wang Miao, Yan Aixia, Li Shoufei, Wang Yuanyuan, Wang Hairui, Peng Tao, Zhang Maojun. Pathogenic characteristics of Arcobacter isolated from 748 patients with diarrhea in a district of Beijing, 2021−2023[J]. Disease Surveillance, 2024, 39(6): 732-737. DOI: 10.3784/jbjc.202402230117

2021-2023北京市某区748例腹泻病例中弓形杆菌病原特征分析

Pathogenic characteristics of Arcobacter isolated from 748 patients with diarrhea in a district of Beijing, 2021−2023

  • 摘要:
    目的 基于腹泻病原学监测进行弓形杆菌分离和病原特征分析,为该病原导致腹泻相关研究提供基础数据。
    方法 收集2021—2023年北京市某区腹泻患者基础信息和临床症状信息,采集患者粪便标本进行弓形杆菌培养并使用荧光聚合酶链式反应(PCR)方法进行鉴定。 分离弓形杆菌进行抗生素敏感性检测和全基因组测序并基于序列进行平均核苷酸一致性(ANI)分析、毒力基因分析和核心基因组单核苷酸多态性分析。
    结果 2021—2023年腹泻患者粪便弓形杆菌检出率为0.80%(6/748),2017年在北京某区腹泻监测中检出2株弓形杆菌,荧光PCR鉴定结果均为布氏弓形杆菌。 本地区分离到弓形杆菌的8例腹泻患者中的5例同时分离到其他肠道致病菌。 从8例腹泻患者中分离的8株弓形杆菌对不同抗生素耐药株数分别为耐四环素7株、耐氟苯尼考6株、耐链霉素6株、耐阿奇霉素5株、耐克林霉素5株,6株菌耐3类或3类以上抗生素;基于基因组序列的ANI分析确定8株菌均为布氏弓形杆菌。
    结论 北京市某区腹泻患者中分离弓形杆菌以布氏弓形杆菌为优势种,弓形杆菌感染者的临床特征以及分离菌株的病原特异性需要增加菌株数量后继续深入研究。

     

    Abstract:
    Objective To analyze the pathogenic characteristics of Arcobacter based on diarrhea surveillance, and provide basic data for the prevention and control of diarrheal diseases caused by Arcobacter.
    Methods Basic information, clinical data of the diarrhea cases were collected in adults in a district of Beijing during 2021−2023, and the stool samples taken from the diarrhea cases were used for Arcobacter isolation. The strains identification was performed using real time polymerase chain reaction (PCR). Antibiotic susceptibility test and whole-genome sequencing (WGS) were carried out for all the isolates. The average nucleotide identity (ANI) analysis, virulence genes identification and core genome single nucleotide polymorphism analysis were performed based on WGS sequence.
    Results The detection rate of Arcobacter in the diarrhea cases from 2021 to 2023 was 0.80% (6/748) and two strains of Arcobacter were isolated in diarrhea surveillance in 2017, and all the isolates were identified as A. butzleri by real time PCR. In the 8 A. butzleri positive cases, 5 were positive other enteric pathogens. In the 8 A. butzleri strains, 7 were resistant to tetracycline, 6 were resistant to flufenicol, 6 were resistant to streptomycin, 5 were resistant to azithromycin and 5 were resistant to clindamycin. A total of 7 resistance spectrums were observed; and 6 strains were resistant to three or more classes of antibiotics. All the 8 strains identified by the ANI analysis based on the genome sequences were A. butzleri.
    Conclusion A. butzleri was the predominant species of Arcobacter isolated from diarrhea cases in this district of Beijing during 2021−2023. Further investigation is needed to obtain more data for Arcobacter infection in human.

     

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