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利用基于废水的流行病学和全球疾病监测中的下一代测序技术。

Harnessing the Power of Next-Generation Sequencing in Wastewater-Based Epidemiology and Global Disease Surveillance.

机构信息

School of Environmental and Natural Sciences, Bangor University, Bangor, Gwynedd, LL57 2UW, UK.

Verily Life Sciences LLC., South San Francisco, California, 94080, USA.

出版信息

Food Environ Virol. 2024 Nov 30;17(1):5. doi: 10.1007/s12560-024-09616-0.

Abstract

Wastewater-based epidemiology (WBE) has emerged as a valuable surveillance tool for SARS-CoV-2 and other pathogens globally, providing insights into community-level infections, including asymptomatic and pre-symptomatic cases. While most WBE programmes focus on quantitative pathogen assessment, next-generation sequencing (NGS) approaches have enabled more detailed analyses, including variant and recombinant genotype identification for viruses like SARS-CoV-2 and poliovirus. Despite recent NGS advancements allowing for the detection of known and novel viruses in wastewater, many of these tools remain underutilised in routine WBE. This short review critically evaluates the applicability of common NGS tools in routine WBE programmes, assessing their capability for identifying emerging threats with epidemic or pandemic potential. Here, we provide evidence-based recommendations for integrating NGS techniques into WBE and the use of results for informed decision-making within a One Health framework, aiming to enhance global infectious disease surveillance and pandemic preparedness.

摘要

基于污水的流行病学(WBE)已成为一种有价值的全球监测工具,可用于监测 SARS-CoV-2 和其他病原体,为了解社区层面的感染情况提供了线索,包括无症状和症状前病例。虽然大多数 WBE 计划侧重于定量病原体评估,但下一代测序(NGS)方法使更详细的分析成为可能,包括对 SARS-CoV-2 和脊髓灰质炎病毒等病毒的变异和重组基因型的识别。尽管最近的 NGS 进展允许在废水中检测已知和新型病毒,但这些工具在常规 WBE 中的应用仍不充分。这篇简短的综述批判性地评估了常见 NGS 工具在常规 WBE 计划中的适用性,评估了它们识别具有流行或大流行潜力的新兴威胁的能力。在这里,我们为将 NGS 技术整合到 WBE 中以及在一个健康框架内使用结果进行明智决策提供了基于证据的建议,旨在加强全球传染病监测和大流行准备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/602d/11608212/9a91c13a6044/12560_2024_9616_Fig1_HTML.jpg

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