通过全基因组测序定义SNP值来划分结核病传播的范围
Yu-Xin Xiao1,2, Tai-Hua Chan1,2, Kuang-Hung Liu1,2
1Tuberculosis Research Center, Centers for Disease Control, Ministry of Health and Welfare, Taipei, Taiwan.
Microbiology spectrum
|June 25, 2024
概括
全基因组测序 (WGS) 通过分析遗传差异来帮助追踪结核病 (TB) 的传播. 特定的单核酸多态 (SNP) 值定义了确定的和可能的结核病传播,指导公共卫生行动.
科学领域:
- 基因组流行病学基因组流行病学
- 传染病监测 传染病监测 传染病监测 传染病监测
- 公共卫生微生物学
背景情况:
- 结核病 (TB) 传播网络可以持续数年,受宿主因素和疾病负担的影响.
- 传统的基因型定型方法往往高估了结核病的传播,限制了准确的疫情检测和监测.
- 与传统方法相比,全基因组测序 (WGS) 为划定传输网络提供了更高的分辨率.
研究的目的:
- 评估WGS对划定结核病传播网络在一个结核病负担中等的国家的有用性.
- 建立特定的国家单核酸多态性 (SNP) 值,以对确定的和可能的结核病传播进行分类.
- 评估WGS在识别多抗药性结核病 (MDR-TB) 爆发中的有效性.
主要方法:
- 全基因组测序 (WGS) 用于分析从定义的结核病集群中分离出来的Mycobacterium结核病分离物.
- 集群是由相同的基因型定义的,而疫情是由具有流行病学联系 (epi-links) 的集群病例定义的.
- 分析包括比较分离物之间的SNP差异,以改进预定义的集群并识别传播事件.
主要成果:
- 一个具有≤5个SNP的泛感应性结核病集群 (C1) 表明与学校相关的确切爆发.
- 三个多耐药结核病 (MDR-TB) 集群 (C2-C4) 显示了不同的SNP差异 (≤5或≤15) 与可能的表现链接.
- WGS有效地帮助了接触者追踪,尽管仍然缺少一些副链;对于MDR-TB疫情,可能需要更高的SNP值.
结论:
- ≤5和≤15的SNP值有效分类了分别确定的和可能的结核病传播.
- 为了定义疫情,需要明确的SNP值,对于MDR-TB.可能需要更高的切断值.
- 将WGS与古典流行病学相结合,可以加强结核病爆发调查,并指导针对性的公共卫生干预.
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