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废水基因组监测捕捉到奥密克戎在犹他州的早期检测。

Wastewater Genomic Surveillance Captures Early Detection of Omicron in Utah.

机构信息

Utah Public Health Laboratory, Utah Department of Health and Human Services, Salt Lake City, Utah, USA.

Utah Department of Health and Human Services, Salt Lake City, Utah, USA.

出版信息

Microbiol Spectr. 2023 Jun 15;11(3):e0039123. doi: 10.1128/spectrum.00391-23. Epub 2023 May 8.

DOI:10.1128/spectrum.00391-23
PMID:37154725
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10269515/
Abstract

Wastewater-based epidemiology has emerged as a powerful public health tool to trace new outbreaks, detect trends in infection, and provide an early warning of COVID-19 community spread. Here, we investigated the spread of SARS-CoV-2 infections across Utah by characterizing lineages and mutations detected in wastewater samples. We sequenced over 1,200 samples from 32 sewersheds collected between November 2021 and March 2022. Wastewater sequencing confirmed the presence of Omicron (B.1.1.529) in Utah in samples collected on November 19, 2021, up to 10 days before its corresponding detection via clinical sequencing. Analysis of diversity of SARS-CoV-2 lineages revealed Delta as the most frequently detected lineage during November 2021 (67.71%), but it started declining in December 2021 with the onset of Omicron (B.1.1529) and its sublineage BA.1 (6.79%). The proportion of Omicron increased to ~58% by January 4, 2022, and completely displaced Delta by February 7, 2022. Wastewater genomic surveillance revealed the presence of Omicron sublineage BA.3, a lineage that was not identified from Utah's clinical surveillance. Interestingly, several Omicron-defining mutations began to appear in early November 2021 and increased in prevalence across sewersheds from December to January, aligning with the surge in clinical cases. Our study highlights the importance of tracking epidemiologically relevant mutations in detecting emerging lineages in the early stages of an outbreak. Wastewater genomic epidemiology provides an unbiased representation of community-wide infection dynamics and is an excellent complementary tool to SARS-CoV-2 clinical surveillance, with the potential of guiding public health action and policy decisions. SARS-CoV-2, the virus responsible for the COVID-19 pandemic, has had a significant impact on public health. Global emergence of novel SARS-CoV-2 variants, shift to at-home tests, and reduction in clinical tests demonstrate the need for a reliable and effective surveillance strategy to contain COVID-19 spread. Monitoring of SARS-CoV-2 viruses in wastewater is an effective way to trace new outbreaks, establish baseline levels of infection, and complement clinical surveillance efforts. Wastewater genomic surveillance, in particular, can provide valuable insights into the evolution and spread of SARS-CoV-2 variants. We characterized the diversity of SARS-CoV-2 mutations and lineages using whole-genome sequencing to trace the introduction of lineage B.1.1.519 (Omicron) in Utah. Our data showed that Omicron appeared in Utah on November 19, 2021, up to 10 days prior to its detection in patient samples, indicating that wastewater surveillance provides an early warning signal. Our findings are important from a public health perspective as timely identification of communities with high COVID-19 transmission could help guide public health interventions.

摘要

基于污水的流行病学已经成为一种强大的公共卫生工具,可以追踪新的疫情爆发、检测感染趋势,并对 COVID-19 社区传播提供早期预警。在这里,我们通过对污水样本中检测到的谱系和突变进行特征描述,调查了犹他州 SARS-CoV-2 感染的传播情况。我们对 2021 年 11 月至 2022 年 3 月期间采集的 32 个污水流域的 1200 多个样本进行了测序。污水测序证实,2021 年 11 月 19 日在犹他州采集的样本中存在奥密克戎(B.1.1.529),比其通过临床测序对应的检测提前了 10 天。对 SARS-CoV-2 谱系多样性的分析显示,德尔塔是 2021 年 11 月最常检测到的谱系(67.71%),但它从 2021 年 12 月开始下降,奥密克戎(B.1.1529)及其亚谱系 BA.1(6.79%)开始出现。奥密克戎的比例在 2022 年 1 月 4 日增加到~58%,并在 2022 年 2 月 7 日完全取代了德尔塔。污水基因组监测显示存在奥密克戎亚谱系 BA.3,这是一种在犹他州临床监测中未发现的谱系。有趣的是,几个奥密克戎定义的突变开始于 2021 年 11 月初出现,并在 12 月至 1 月期间在污水流域中流行度增加,与临床病例的激增相一致。我们的研究强调了在疫情早期跟踪具有流行病学意义的突变以检测新出现的谱系的重要性。污水基因组流行病学提供了对社区感染动态的无偏代表性,是 SARS-CoV-2 临床监测的极好补充工具,具有指导公共卫生行动和政策决策的潜力。SARS-CoV-2 是导致 COVID-19 大流行的病毒,对公共卫生造成了重大影响。新型 SARS-CoV-2 变体在全球范围内出现、向家庭检测的转变以及临床检测的减少,都表明需要一种可靠有效的监测策略来控制 COVID-19 的传播。监测污水中的 SARS-CoV-2 病毒是追踪新疫情、建立感染基线水平并补充临床监测工作的有效方法。特别是污水基因组监测可以提供有关 SARS-CoV-2 变体进化和传播的有价值的见解。我们使用全基因组测序来描述 SARS-CoV-2 突变和谱系的多样性,以追踪 B.1.1.519(奥密克戎)谱系在犹他州的引入。我们的数据显示,奥密克戎于 2021 年 11 月 19 日出现在犹他州,比其在患者样本中检测到的时间提前了 10 天,表明污水监测提供了早期预警信号。从公共卫生角度来看,我们的发现很重要,因为及时识别高 COVID-19 传播社区可以帮助指导公共卫生干预措施。

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