Cargando…

Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR

Wastewater based epidemiology (WBE) has emerged as a strategy to identify, locate, and manage outbreaks of COVID-19, and thereby possibly prevent surges in cases, which overwhelm local to global health care networks. The WBE process is based on assaying municipal wastewater for molecular markers of...

Descripción completa

Detalles Bibliográficos
Autores principales: West, Nicholas W., Vasquez, Adrian A., Bahmani, Azadeh, Khan, Mohammed F., Hartrick, James, Turner, Carrie L., Shuster, William, Ram, Jeffrey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303066/
https://www.ncbi.nlm.nih.gov/pubmed/35872187
http://dx.doi.org/10.1016/j.scitotenv.2022.157547
_version_ 1784751770520518656
author West, Nicholas W.
Vasquez, Adrian A.
Bahmani, Azadeh
Khan, Mohammed F.
Hartrick, James
Turner, Carrie L.
Shuster, William
Ram, Jeffrey L.
author_facet West, Nicholas W.
Vasquez, Adrian A.
Bahmani, Azadeh
Khan, Mohammed F.
Hartrick, James
Turner, Carrie L.
Shuster, William
Ram, Jeffrey L.
author_sort West, Nicholas W.
collection PubMed
description Wastewater based epidemiology (WBE) has emerged as a strategy to identify, locate, and manage outbreaks of COVID-19, and thereby possibly prevent surges in cases, which overwhelm local to global health care networks. The WBE process is based on assaying municipal wastewater for molecular markers of the SARS-CoV-2 virus. Standard processes for purifying viral RNA from municipal wastewater are often time-consuming and require the handling of large quantities of wastewater, negatively affecting throughput, timely reporting, and safety. We demonstrate here an automated, faster system to purify viral RNA from smaller volumes of wastewater but with increased sensitivity for detection of SARS-CoV-2 markers. We document the effectiveness of this new approach by way of comparison to the PEG/NaCl/Qiagen method prescribed by the State of Michigan for SARS-CoV-2 wastewater monitoring and show its application to several Detroit sewersheds. Specifically, compared to the PEG/NaCl/Qiagen method, viral RNA purification using the PerkinElmer Chemagic™ 360 lowered handling time, decreased the amount of wastewater required by ten-fold, increased the amount of RNA isolated per μl of final elution product by approximately five-fold, and effectively removed ddPCR inhibitors from most sewershed samples. For detection of markers on the borderline of viral detectability, we found that use of the Chemagic™ 360 enabled the measurement of viral markers in a significant number of samples for which the result with the PEG/NaCl/Qiagen method was below the level of detectability. The improvement in detectability of the viral markers might be particularly important for early warning to public health authorities at the beginning of an outbreak. Applied to sewersheds in Detroit, the technique enabled more sensitive detection of SARS-CoV-2 markers with good correlation between wastewater signals and COVID-19 cases in the sewersheds. We also discuss advantages and disadvantages of several automated RNA purification systems, made by Promega, PerkinElmer, and ThermoFisher.
format Online
Article
Text
id pubmed-9303066
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier B.V.
record_format MEDLINE/PubMed
spelling pubmed-93030662022-07-22 Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR West, Nicholas W. Vasquez, Adrian A. Bahmani, Azadeh Khan, Mohammed F. Hartrick, James Turner, Carrie L. Shuster, William Ram, Jeffrey L. Sci Total Environ Article Wastewater based epidemiology (WBE) has emerged as a strategy to identify, locate, and manage outbreaks of COVID-19, and thereby possibly prevent surges in cases, which overwhelm local to global health care networks. The WBE process is based on assaying municipal wastewater for molecular markers of the SARS-CoV-2 virus. Standard processes for purifying viral RNA from municipal wastewater are often time-consuming and require the handling of large quantities of wastewater, negatively affecting throughput, timely reporting, and safety. We demonstrate here an automated, faster system to purify viral RNA from smaller volumes of wastewater but with increased sensitivity for detection of SARS-CoV-2 markers. We document the effectiveness of this new approach by way of comparison to the PEG/NaCl/Qiagen method prescribed by the State of Michigan for SARS-CoV-2 wastewater monitoring and show its application to several Detroit sewersheds. Specifically, compared to the PEG/NaCl/Qiagen method, viral RNA purification using the PerkinElmer Chemagic™ 360 lowered handling time, decreased the amount of wastewater required by ten-fold, increased the amount of RNA isolated per μl of final elution product by approximately five-fold, and effectively removed ddPCR inhibitors from most sewershed samples. For detection of markers on the borderline of viral detectability, we found that use of the Chemagic™ 360 enabled the measurement of viral markers in a significant number of samples for which the result with the PEG/NaCl/Qiagen method was below the level of detectability. The improvement in detectability of the viral markers might be particularly important for early warning to public health authorities at the beginning of an outbreak. Applied to sewersheds in Detroit, the technique enabled more sensitive detection of SARS-CoV-2 markers with good correlation between wastewater signals and COVID-19 cases in the sewersheds. We also discuss advantages and disadvantages of several automated RNA purification systems, made by Promega, PerkinElmer, and ThermoFisher. Elsevier B.V. 2022-11-15 2022-07-22 /pmc/articles/PMC9303066/ /pubmed/35872187 http://dx.doi.org/10.1016/j.scitotenv.2022.157547 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
West, Nicholas W.
Vasquez, Adrian A.
Bahmani, Azadeh
Khan, Mohammed F.
Hartrick, James
Turner, Carrie L.
Shuster, William
Ram, Jeffrey L.
Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title_full Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title_fullStr Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title_full_unstemmed Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title_short Sensitive detection of SARS-CoV-2 molecular markers in urban community sewersheds using automated viral RNA purification and digital droplet PCR
title_sort sensitive detection of sars-cov-2 molecular markers in urban community sewersheds using automated viral rna purification and digital droplet pcr
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9303066/
https://www.ncbi.nlm.nih.gov/pubmed/35872187
http://dx.doi.org/10.1016/j.scitotenv.2022.157547
work_keys_str_mv AT westnicholasw sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT vasquezadriana sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT bahmaniazadeh sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT khanmohammedf sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT hartrickjames sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT turnercarriel sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT shusterwilliam sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr
AT ramjeffreyl sensitivedetectionofsarscov2molecularmarkersinurbancommunitysewershedsusingautomatedviralrnapurificationanddigitaldropletpcr