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Evaluation of RT-qPCR Primer-Probe Sets to Inform Public Health Interventions Based on COVID-19 Sewage Tests.
Xu, Xiaoqing; Deng, Yu; Zheng, Xiawan; Li, Shuxian; Ding, Jiahui; Yang, Yu; On, Hei Yin; Yang, Rong; Chui, Ho-Kwong; Yau, Chung In; Tun, Hein Min; Chin, Alex W H; Poon, Leo L M; Peiris, Malik; Leung, Gabriel M; Zhang, Tong.
Affiliation
  • Xu X; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • Deng Y; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • Zheng X; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • Li S; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • Ding J; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • Yang Y; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR 999077, China.
  • On HY; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
  • Yang R; Environmental Protection Department, The Government of Hong Kong SAR, Tamar, Hong Kong SAR 999077, China.
  • Chui HK; Environmental Protection Department, The Government of Hong Kong SAR, Tamar, Hong Kong SAR 999077, China.
  • Yau CI; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
  • Tun HM; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
  • Chin AWH; HKU-Pasteur Research Pole, Sassoon Road, Hong Kong SAR 999077, China.
  • Poon LLM; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
  • Peiris M; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
  • Leung GM; HKU-Pasteur Research Pole, Sassoon Road, Hong Kong SAR 999077, China.
  • Zhang T; School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Sassoon Road, Hong Kong SAR 999077, China.
Environ Sci Technol ; 56(12): 8875-8884, 2022 06 21.
Article in En | MEDLINE | ID: mdl-35584232
Sewage surveillance is increasingly employed as a supplementary tool for COVID-19 control. Experiences learnt from large-scale trials could guide better interpretation of the sewage data for public health interventions. Here, we compared the performance of seven commonly used primer-probe sets in RT-qPCR and evaluated the usefulness in the sewage surveillance program in Hong Kong. All selected primer-probe sets reliably detected SARS-CoV-2 in pure water at 7 copies per µL. Sewage matrix did not influence RT-qPCR determination of SARS-CoV-2 concentrated from a small-volume sewage (30 mL) but introduced inhibitory impacts on a large-volume sewage (920 mL) with a ΔCt of 0.2-10.8. Diagnostic performance evaluation in finding COVID-19 cases showed that N1 was the best single primer-probe set, while the ORF1ab set is not recommended. Sewage surveillance using the N1 set for over 3200 samples effectively caught the outbreak trend and, importantly, had a 56% sensitivity and a 96% specificity in uncovering the signal sources from new cases and/or convalescent patients in the community. Our study paves the way for selecting detection primer-probe sets in wider applications in responding to the COVID-19 pandemic.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Environ Sci Technol Year: 2022 Document type: Article Affiliation country: China Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Environ Sci Technol Year: 2022 Document type: Article Affiliation country: China Country of publication: United States