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利用香港的污水监测网络追踪腹泻病毒和猴痘病毒。

Tracking diarrhea viruses and mpox virus using the wastewater surveillance network in Hong Kong.

作者信息

Zheng Xiawan, Zhao Keyue, Xue Bingjie, Deng Yu, Xu Xiaoqing, Yan Weifu, Rong Chao, Leung Kathy, Wu Joseph T, Leung Gabriel M, Peiris Malik, Poon Leo L M, Zhang Tong

机构信息

Environmental Microbiome Engineering and Biotechnology Lab, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China.

WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong, China; Laboratory of Data Discovery for Health Limited (D24H), Hong Kong Science Park, Hong Kong, China; The University of Hong Kong - Shenzhen Hospital, Shenzhen, China.

出版信息

Water Res. 2024 May 15;255:121513. doi: 10.1016/j.watres.2024.121513. Epub 2024 Mar 24.

Abstract

The wastewater surveillance network successfully established for COVID-19 showed great potential to monitor other infectious viruses, such as norovirus, rotavirus and mpox virus. In this study, we established and validated detection methods for these viruses in wastewater. We developed a supernatant-based method to detect RNA viruses from wastewater samples and applied it to the monthly diarrhea viruses (norovirus genogroup I & II, and rotavirus) surveillance in wastewater treatment plants (WWTPs) at a city-wide level for 16 months. Significant correlations were observed between the diarrhea viruses concentrations in wastewater and detection rates in faecal specimens by clinical surveillance. The highest norovirus concentration in wastewater was obtained in winter, consistent with the seasonal pattern of norovirus outbreak in Hong Kong. Additionally, we established a pellet-based method to monitor DNA viruses in wastewater and detected weak signals for mpox virus in wastewater from a WWTP serving approximately 16,700 people, when the first mpox patient in Hong Kong was admitted to the hospital within the catchment area. Genomic sequencing provided confirmatory evidence for the validity of the results. Our findings emphasized the efficacy of the wastewater surveillance network in WWTPs as a cost-effective tool to track the transmission trend of diarrhea viruses and to provide sensitive detection of novel emerging viruses such as mpox virus in low-prevalence areas. The developed methods and surveillance results provide confidence for establishing robust wastewater surveillance programs to control infectious diseases in the post-pandemic era.

摘要

为新冠病毒成功建立的废水监测网络显示出监测其他传染性病毒的巨大潜力,如诺如病毒、轮状病毒和猴痘病毒。在本研究中,我们建立并验证了废水中这些病毒的检测方法。我们开发了一种基于上清液的方法来检测废水样本中的RNA病毒,并将其应用于全市范围内污水处理厂(WWTPs)为期16个月的月度腹泻病毒(诺如病毒基因群I和II,以及轮状病毒)监测。废水腹泻病毒浓度与临床监测粪便标本中的检出率之间存在显著相关性。废水中诺如病毒的最高浓度出现在冬季,这与香港诺如病毒爆发的季节性模式一致。此外,我们建立了一种基于沉淀的方法来监测废水中的DNA病毒,并在服务约16,700人的污水处理厂的废水中检测到猴痘病毒的微弱信号,当时香港首例猴痘患者在集水区内入院。基因组测序为结果的有效性提供了确证证据。我们的研究结果强调了污水处理厂废水监测网络作为一种经济有效的工具,用于追踪腹泻病毒的传播趋势,并在低流行地区对猴痘病毒等新型新兴病毒进行灵敏检测的功效。所开发的方法和监测结果为在后疫情时代建立强有力的废水监测计划以控制传染病提供了信心。

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