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SARS-CoV-2 Alpha 谱系的出现及其与定量基于污水的流行病学数据的相关性。

Emergence of SARS-CoV-2 Alpha lineage and its correlation with quantitative wastewater-based epidemiology data.

机构信息

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz, 13/2261, 1040, Vienna, Austria; Institute of Virology Stefan S. Nicolau, Romanian Academy of Science, 285 Mihai Bravu Avenue, 030304, Bucharest, Romania.

Institute for Water Quality and Resource Management, TU Wien, Karlsplatz, 13/2261, 1040, Vienna, Austria.

出版信息

Water Res. 2022 May 15;215:118257. doi: 10.1016/j.watres.2022.118257. Epub 2022 Mar 6.

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) gave rise to an international public health emergency in 3 months after its emergence in Wuhan, China. Typically for an RNA virus, random mutations occur constantly leading to new lineages, incidental with a higher transmissibility. The highly infective alpha lineage, firstly discovered in the UK, led to elevated mortality and morbidity rates as a consequence of Covid-19, worldwide. Wastewater surveillance proved to be a powerful tool for early detection and subsequent monitoring of the dynamics of SARS-CoV-2 and its variants in a defined catchment. Using a combination of sequencing and RT-qPCR approaches, we investigated the total SARS-CoV-2 concentration and the emergence of the alpha lineage in wastewater samples in Vienna, Austria linking it to clinical data. Based on a non-linear regression model and occurrence of signature mutations, we conclude that the alpha variant was present in Vienna sewage samples already in December 2020, even one month before the first clinical case was officially confirmed and reported by the health authorities. This provides evidence that a well-designed wastewater monitoring approach can provide a fast snapshot and may detect the circulating lineages in wastewater weeks before they are detectable in the clinical samples. Furthermore, declining 14 days prevalence data with simultaneously increasing SARS-CoV-2 total concentration in wastewater indicate a different shedding behavior for the alpha variant. Overall, our results support wastewater surveillance to be a suitable approach to spot early circulating SARS-CoV-2 lineages based on whole genome sequencing and signature mutations analysis.

摘要

严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)在中国武汉出现 3 个月后引发了国际公共卫生紧急事件。通常对于 RNA 病毒来说,随机突变会不断发生,导致新的谱系出现,同时具有更高的传染性。首先在英国发现的高度传染性的阿尔法谱系,导致全球 COVID-19 的死亡率和发病率上升。污水监测被证明是一种强大的工具,可用于早期发现和随后监测 SARS-CoV-2 及其变体在特定流域的动态。我们使用测序和 RT-qPCR 方法相结合,研究了奥地利维也纳污水样本中的总 SARS-CoV-2 浓度和阿尔法谱系的出现,并将其与临床数据联系起来。基于非线性回归模型和特征突变的出现,我们得出结论,阿尔法变体已于 2020 年 12 月在维也纳污水样本中存在,甚至比卫生当局正式确认和报告的首例临床病例早一个月。这表明精心设计的污水监测方法可以提供快速的快照,并可能在临床样本中检测到循环谱系之前数周在污水中检测到它们。此外,14 天流行率数据的下降与污水中 SARS-CoV-2 总浓度的同时增加表明阿尔法变体的排放行为不同。总的来说,我们的结果支持污水监测作为一种基于全基因组测序和特征突变分析的早期循环 SARS-CoV-2 谱系的合适方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f838/8898540/2255b4d73dbc/ga1_lrg.jpg

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