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污水监测对 SARS-CoV-2 关注变种的监测以及 COVID-19 的传播动力学和社区负担。

Wastewater surveillance monitoring of SARS-CoV-2 variants of concern and dynamics of transmission and community burden of COVID-19.

机构信息

Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.

Department of Paediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.

出版信息

Emerg Microbes Infect. 2023 Dec;12(2):2233638. doi: 10.1080/22221751.2023.2233638.

Abstract

Wastewater-based surveillance is a valuable approach for monitoring COVID-19 at community level. Monitoring SARS-CoV-2 variants of concern (VOC) in wastewater has become increasingly relevant when clinical testing capacity and case-based surveillance are limited. In this study, we ascertained the turnover of six VOC in Alberta wastewater from May 2020 to May 2022. Wastewater samples from nine wastewater treatment plants across Alberta were analysed using VOC-specific RT-qPCR assays. The performance of the RT-qPCR assays in identifying VOC in wastewater was evaluated against next generation sequencing. The relative abundance of each VOC in wastewater was compared to positivity rate in COVID-19 testing. VOC-specific RT-qPCR assays performed comparatively well against next generation sequencing; concordance rates ranged from 89% to 98% for detection of Alpha, Beta, Gamma, Omicron BA.1 and Omicron BA.2, with a slightly lower rate of 85% for Delta (0.01). Elevated relative abundance of Alpha, Delta, Omicron BA.1 and BA.2 were each associated with increased COVID-19 positivity rate. Alpha, Delta and Omicron BA.2 reached 90% relative abundance in wastewater within 80, 111 and 62 days after their initial detection, respectively. Omicron BA.1 increased more rapidly, reaching a 90% relative abundance in wastewater after 35 days. Our results from VOC surveillance in wastewater correspond with clinical observations that Omicron is the VOC with highest disease burden over the shortest period in Alberta to date. The findings suggest that changes in relative abundance of a VOC in wastewater can be used as a supplementary indicator to track and perhaps predict COVID-19 burden in a population.

摘要

污水监测是在社区层面监测 COVID-19 的一种有价值的方法。当临床检测能力和基于病例的监测受到限制时,监测污水中关注的 SARS-CoV-2 变体 (VOC) 变得越来越重要。在这项研究中,我们确定了 2020 年 5 月至 2022 年 5 月阿尔伯塔省污水中六种 VOC 的周转率。使用 VOC 特异性 RT-qPCR 检测方法分析了来自阿尔伯塔省 9 个污水处理厂的污水样本。针对下一代测序评估了 RT-qPCR 检测方法在识别污水中 VOC 的性能。污水中每个 VOC 的相对丰度与 COVID-19 检测中的阳性率进行了比较。VOC 特异性 RT-qPCR 检测方法与下一代测序相比表现相当出色;Alpha、Beta、Gamma、Omicron BA.1 和 Omicron BA.2 的检测一致性率在 89%至 98%之间,Delta 的略低,为 85%(0.01)。Alpha、Delta、Omicron BA.1 和 BA.2 的相对丰度升高均与 COVID-19 阳性率增加相关。Alpha、Delta 和 Omicron BA.2 在首次检测后分别在污水中达到 90%相对丰度的时间为 80、111 和 62 天。Omicron BA.1 的增长速度更快,在 35 天后达到污水中 90%的相对丰度。我们从污水 VOC 监测中获得的结果与临床观察结果一致,即到目前为止,Omicron 是在阿尔伯塔省造成疾病负担最高的 VOC,时间最短。研究结果表明,VOC 在污水中相对丰度的变化可用作跟踪和预测人群中 COVID-19 负担的补充指标。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7567/10408568/c9a9566bcc9e/TEMI_A_2233638_F0001_OC.jpg

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