Contribution of SARS-CoV-2 RNA shedding routes to RNA loads in wastewater.
Contribution of SARS-CoV-2 RNA shedding routes to RNA loads in wastewater.
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DOI：
10.1016/j.scitotenv.2021.150376
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发表时间：
2022-02-01
期刊：
影响因子：
--
通讯作者：
Bibby K
中科院分区：
文献类型：
--
作者：
Crank K;Chen W;Bivins A;Lowry S;Bibby K
部分SARS-CoV-2感染者通过呼吸道液体、唾液、尿液和粪便排出病毒及其遗传物质，从而有可能通过废水监测感染。迄今为止，废水监测工作在很大程度上假设粪便脱落是SARS-CoV-2 RNA信号的主要来源；然而，关于其他排放途径的可能贡献的问题越来越多，这对废水监测设计和可行性有影响。在这项研究中，我们使用临床SARS-CoV-2 RNA脱落数据和蒙特卡罗框架来评估各种脱落途径对废水中SARS-CoV-2 RNA负荷的相对贡献。在社区监测中，粪便脱落主导了SARS-CoV-2总RNA载量，其平均贡献比其他脱落途径高出两个数量级以上。然而，当考虑到设计用于识别单个感染个体的建筑级别监测工作时，RNA负载更加微妙，其中任何脱落途径都可能提供可检测的信号。模型可变性的最大来源是排泄物中的病毒载量，这表明，通过将特定的建模情景与精确的SARS-CoV-2脱落数据结合起来，未来的建模工作可能会得到改进，除此之外，废水监测必须在数据分析和报告过程中继续考虑到巨大的可变性。重要的是，研究结果表明，在更精细的空间尺度上，废水监测并不完全依赖于通过粪便进行敏感的感染检测，从而扩大了废水作为非侵入性监测方法的潜在用例。
A portion of those infected with SARS-CoV-2 shed the virus and its genetic material in respiratory fluids, saliva, urine, and stool, thus giving the potential to monitor for infections via wastewater. Wastewater surveillance efforts to date have largely assumed that stool shedding has been the primary source of SARS-CoV-2 RNA signal; however, there are increasing questions about the possible contribution of other shedding routes, with implications for wastewater surveillance design and feasibility. In this study we used clinical SARS-CoV-2 RNA shedding data and a Monte Carlo framework to assess the relative contribution of various shedding routes on SARS-CoV-2 RNA loads in wastewater. Stool shedding dominated total SARS-CoV-2 RNA load for community-level surveillance, with mean contributions more than two orders of magnitude greater than other shedding routes. However, RNA loads were more nuanced when considering building-level monitoring efforts designed to identify a single infected individual, where any shedding route could plausibly contribute a detectable signal. The greatest source of model variability was viral load in excreta, suggesting that future modeling efforts may be improved by incorporating specific modeling scenarios with precise SARS-CoV-2 shedding data, and beyond that wastewater surveillance must continue to account for large variability during data analysis and reporting. Importantly, the findings imply that wastewater surveillance at finer spatial scales is not entirely dependent on shedding via feces for sensitive detection of infections thus enlarging the potential use cases of wastewater as a non-intrusive surveillance methodology.
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DOI：
10.1021/acsestwater.1c00050
发表时间：
2021-05-10
期刊：
ACS ES&T WATER
影响因子：
--
作者：
Fuschi, Claire;Pu, Haihui;Chen, Junhong
通讯作者：
Chen, Junhong
影响因子：
11.4
作者：
Graham, Katherine E.;Loeb, Stephanie K.;Boehm, Alexandria B.
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Boehm, Alexandria B.
DOI：
10.1016/j.scitotenv.2021.146408
发表时间：
2021-07-20
期刊：
The Science of the total environment
影响因子：
--
作者：
Betancourt WQ;Schmitz BW;Innes GK;Prasek SM;Pogreba Brown KM;Stark ER;Foster AR;Sprissler RS;Harris DT;Sherchan SP;Gerba CP;Pepper IL
通讯作者：
Pepper IL
影响因子：
14.2
作者：
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通讯作者：
Choi, Young Ki
影响因子：
4.9
作者：
Lin, Mingfeng;Lucas, Henry C., Jr.;Shmueli, Galit
通讯作者：
Shmueli, Galit