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一项针对 COVID-19 患者住所污水中 SARS-COV-2 遗传标志物流行情况的 30 天随访研究,并与临床阳性结果进行比较。

A 30-day follow-up study on the prevalence of SARS-COV-2 genetic markers in wastewater from the residence of COVID-19 patient and comparison with clinical positivity.

机构信息

COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh; Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj, Bangladesh.

COVID-19 Diagnostic Lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali 3814, Bangladesh.

出版信息

Sci Total Environ. 2023 Feb 1;858(Pt 3):159350. doi: 10.1016/j.scitotenv.2022.159350. Epub 2022 Oct 18.

Abstract

Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surveillance (WBS) could reduce the burden on the public health system, management of pandemics, help to make informed decisions, and protect public health. In this study, a house with COVID-19 patients was targeted for monitoring the prevalence of SARS-CoV-2 genetic markers in wastewater samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target nonstructural (ORF1ab) and structural-nucleocapsid (N) protein genes of SARS-CoV-2, according to a validated experimental protocol. Physiological, environmental, and biological parameters were also measured following the American Public Health Association (APHA) standard protocols. SARS-CoV-2 viral shedding in wastewater peaked when the highest number of COVID-19 cases were clinically diagnosed. Throughout the study period, 7450 to 23,000 gene copies/1000 mL were detected, where we identified 47 % (57/120) positive samples from WS and 35 % (128/360) from CS. When the COVID-19 patient number was the lowest (2), the highest CT value (39.4; i.e., lowest copy number) was identified from WS. On the other hand, when the COVID-19 patients were the highest (6), the lowest CT value (25.2 i.e., highest copy numbers) was obtained from WS. An advance signal of increased SARS-CoV-2 viral load from the COVID-19 patient was found in WS earlier than in the CS. Using customized primer sets in a traditional PCR approach, we confirmed that all SARS-CoV-2 variants identified in both CS and WS were Delta variants (B.1.617.2). To our knowledge, this is the first follow-up study to determine a temporal relationship between COVID-19 patients and their discharge of SARS-CoV-2 RNA genetic markers in wastewater from a single house including all family members for clinical sampling from a developing country (Bangladesh), where a proper sewage system is lacking. The salient findings of the study indicate that monitoring the genetic markers of the SARS-CoV-2 virus in wastewater could identify COVID-19 cases, which reduces the burden on the public health system during COVID-19 pandemics.

摘要

基于污水的流行病学(WBE)是对抗 COVID-19 的重要工具,因为它以具有成本效益、快速且非侵入性的方式,从单个家庭到大型城市地区,为目标人群的健康状况提供了深入了解。污水监测(WBS)的实施可以减轻公共卫生系统的负担,管理大流行,帮助做出明智的决策并保护公众健康。在这项研究中,针对一户有 COVID-19 患者的家庭,监测了 30 天内污水样本(WS)中 SARS-CoV-2 遗传标记的流行率,并与临床标本(CS)进行了比较。根据经过验证的实验方案,采用 RT-qPCR 技术针对 SARS-CoV-2 的非结构(ORF1ab)和结构-核衣壳(N)蛋白基因进行了靶向检测。还按照美国公共卫生协会(APHA)标准协议测量了生理、环境和生物学参数。当临床诊断出 COVID-19 病例数量最高时,污水中 SARS-CoV-2 的病毒排放达到峰值。在整个研究期间,检测到 7450 至 23000 个基因拷贝/1000 毫升,其中我们从 WS 中识别出 47%(57/120)阳性样本,从 CS 中识别出 35%(128/360)阳性样本。当 COVID-19 患者数量最低(2)时,从 WS 中检测到的 CT 值最高(39.4;即最低拷贝数)。另一方面,当 COVID-19 患者数量最高(6)时,从 WS 中获得的 CT 值最低(25.2,即最高拷贝数)。与 CS 相比,WS 中 SARS-CoV-2 病毒载量的增加提前发出了信号。使用传统 PCR 方法中的定制引物对,我们确认在 CS 和 WS 中鉴定的所有 SARS-CoV-2 变体均为 Delta 变体(B.1.617.2)。据我们所知,这是第一项从单一家庭中 COVID-19 患者及其 SARS-CoV-2 RNA 遗传标记排放的时间关系进行的后续研究,包括来自发展中国家(孟加拉国)的临床采样的所有家庭成员,那里缺乏适当的污水系统。研究的突出发现表明,监测污水中 SARS-CoV-2 病毒的遗传标记可以识别 COVID-19 病例,从而减轻 COVID-19 大流行期间公共卫生系统的负担。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/462e/9576909/ec0ae62d24cb/ga1_lrg.jpg

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