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使用下一代测序来监测耐卡巴烯的生物

Katelin V Gali¹, Rachael M St Jacques¹, Cheyanne I D Daniels¹

¹Division of Consolidated Laboratory Services, Department of General Services, Richmond, VA, United States.

Frontiers in public health

|May 31, 2023

概括

使用下一代测序 (NGS) 的基因组监测有助于追踪抗菌素耐药性 (AMR) 的细菌. 单核酸多态 (SNPs) 的基因分析识别了细菌菌株,使得针对疫情的公共卫生干预成为可能.

科学领域:

基因组流行病学基因组流行病学
公共卫生微生物学
传染病监测传染病监测传染病监测传染病监测

背景情况:

抗微生物耐药性 (AMR) 细菌,如碳烯耐药生物 (CRO),在医疗保健中构成重大挑战.
基因组数据提供了核酸水平的分辨率,这对于了解细菌传播和耐药机制至关重要.

研究的目的:

概述一个分层的工作流程来检测AMR细菌爆发.
为了证明结合表型,分子和基因组方法用于增强监控的实用性.
改善公共卫生资源对疫情调查的定位.

主要方法:

使用下一代测序 (NGS) 进行细菌基因组分析.
采用基因组学工具来评估单核酸多态性 (SNP) 用于菌株识别.
整合抗微生物敏感性测试 (AST),公共基因组数据库和开源生物信息管道.

主要成果:

使用SNP进行基因组比较可以作为疫情爆发的流行病学代理.
最小的SNP差异表明分离物是来自共同来源或传播的相同菌株.
描述的工作流程有助于检测潜在的AMR细菌集群.

结论:

与基因组监测相结合的表型和分子测定方法在检测AMR爆发方面是有效的.
基因组监测通过实现有针对性的干预和感染控制来增强公共卫生响应.
这种工作流优化了资源配置,重点关注高概率的相关案例.

关键词:

抗微生物耐药性抗微生物耐药性耐卡巴胺的生物体这是下一代测序.疫情爆发的原因是监控监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督监督

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