Minimizing Errors in RT-PCR Detection and Quantification of SARS-CoV-2 RNA for Wastewater Surveillance
| Autor: | Tarja Pitkänen, Rosalie Subburg, Albert Bosch, Coleen C. Naughton, Kyle Bibby, Kerry A. Hamilton, Marta Rusiñol, Joan B. Rose, Wendy Smith, Andrew S. Whiteley, Charles N. Haas, Irene Xagoraraki, Valerie J. Harwood, Heather M. Murphy, Giuseppina La Rosa, Qian Zhang, Michael J. Sadowsky, Sandra L. McLellan, Asja Korajkic, Brandon Reyneke, Kevin V. Thomas, Sílvia Bofill-Mas, Susan Petterson, Daniel Gerrity, Hapuarachchige Chanditha Hapuarachchi, Verónica Beatriz Rajal, Rehnuma Haque, Suzanne Metcalfe, Simon Toze, Paul M. Bertsch, Yin Xiang Setoh, Rachel T. Noble, Daisuke Sano, Andreas H. Farnleitner, Nishita D'Souza, John F. Griffith, Phong K. Thai, Wesaal Khan, Warish Ahmed, Brian R. McMinn, Stefan Wuertz, Josh Tynan, Aaron Bivins, Linda L. Blackall, Orin C. Shanks, Fernando A. Roman, João Brandão, Amity G. Zimmer-Faust, Mark Ciesielski, Samendra P. Sherchan, Raul Gonzalez, Judith Chui Ching Wong, Stuart L. Simpson, Erin K. Lipp, Janelle R. Thompson, Erica Donner, Jochen F. Mueller, Laura Sala-Comorera, Blythe A. Layton, Joshua A. Steele, Gertjan Medema, Greg Jackson, Phil M. Choi, Erin M. Symonds, Wim G. Meijer, Stuart J. Khan, Masaaki Kitajima, Sudhi Payyappat, Kwanrawee Sirikanchana, Pradip Gyawali |
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| Přispěvatelé: | Ahmed, Warish, Simpson, Stuart L, Bertsch, Paul M, Bibby, Kyle, Donner, Erica, Shanks, Orin C, Bosch, Albert, Brandão, Joao, La Rosa, Giuseppina, McLellan, Sandra L., Noble, Rachel T., Bosch, Albert [0000-0002-8111-9059], Brandão, Joao [0000-0001-7553-227X], La Rosa, Giuseppina [0000-0002-2657-100X], McLellan, Sandra L. [0000-0003-3283-1151], Noble, Rachel T. [0000-0001-9071-8312] |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
False negative
Epidemiology 0211 other engineering and technologies 02 engineering and technology Review Wastewater 010501 environmental sciences 01 natural sciences Aigües residuals Pandemic Digital polymerase chain reaction Prospective Studies False positive Waste Management and Disposal 0303 health sciences Surveillance Warning system Sewage Reverse Transcriptase Polymerase Chain Reaction false negative Pollution 6. Clean water 3. Good health Real-time polymerase chain reaction RNA Viral False-negative Wastewater-Based Epidemiological Monitoring false positive medicine.medical_specialty Environmental Engineering Coronavirus disease 2019 (COVID-19) Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RT-PCR 03 medical and health sciences False-positive medicine Humans Environmental Chemistry Intensive care medicine Epidemiologia Pandemics Retrospective Studies 030304 developmental biology 0105 earth and related environmental sciences 021110 strategic defence & security studies business.industry SARS-CoV-2 other RNA Reproducibility of Results Data interpretation COVID-19 Virology Environmental science business Quality assurance |
| Zdroj: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP Digital.CSIC. Repositorio Institucional del CSIC instname The Science of the Total Environment |
| Popis: | Wastewater surveillance for pathogens using reverse transcription-polymerase chain reaction (RT-PCR) is an effective and resource-efficient tool for gathering community-level public health information, including the incidence of coronavirus disease-19 (COVID-19). Surveillance of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) in wastewater can potentially provide an early warning signal of COVID-19 infections in a community. The capacity of the world's environmental microbiology and virology laboratories for SARS-CoV-2 RNA characterization in wastewater is increasing rapidly. However, there are no standardized protocols or harmonized quality assurance and quality control (QA/QC) procedures for SARS-CoV-2 wastewater surveillance. This paper is a technical review of factors that can cause false-positive and false-negative errors in the surveillance of SARS-CoV-2 RNA in wastewater, culminating in recommended strategies that can be implemented to identify and mitigate some of these errors. Recommendations include stringent QA/QC measures, representative sampling approaches, effective virus concentration and efficient RNA extraction, PCR inhibition assessment, inclusion of sample processing controls, and considerations for RT-PCR assay selection and data interpretation. Clear data interpretation guidelines (e.g., determination of positive and negative samples) are critical, particularly when the incidence of SARS-CoV-2 in wastewater is low. Corrective and confirmatory actions must be in place for inconclusive results or results diverging from current trends (e.g., initial onset or reemergence of COVID-19 in a community). It is also prudent to perform interlaboratory comparisons to ensure results' reliability and interpretability for prospective and retrospective analyses. The strategies that are recommended in this review aim to improve SARS-CoV-2 characterization and detection for wastewater surveillance applications. A silver lining of the COVID-19 pandemic is that the efficacy of wastewater surveillance continues to be demonstrated during this global crisis. In the future, wastewater should also play an important role in the surveillance of a range of other communicable diseases. |
| Databáze: | OpenAIRE |
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