Cargando…

SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases

Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penet...

Descripción completa

Detalles Bibliográficos
Autores principales: Wu, Fuqing, Zhang, Jianbo, Xiao, Amy, Gu, Xiaoqiong, Lee, Wei Lin, Armas, Federica, Kauffman, Kathryn, Hanage, William, Matus, Mariana, Ghaeli, Newsha, Endo, Noriko, Duvallet, Claire, Poyet, Mathilde, Moniz, Katya, Washburne, Alex D., Erickson, Timothy B., Chai, Peter R., Thompson, Janelle, Alm, Eric J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566278/
https://www.ncbi.nlm.nih.gov/pubmed/32694130
http://dx.doi.org/10.1128/mSystems.00614-20
_version_ 1783596113172889600
author Wu, Fuqing
Zhang, Jianbo
Xiao, Amy
Gu, Xiaoqiong
Lee, Wei Lin
Armas, Federica
Kauffman, Kathryn
Hanage, William
Matus, Mariana
Ghaeli, Newsha
Endo, Noriko
Duvallet, Claire
Poyet, Mathilde
Moniz, Katya
Washburne, Alex D.
Erickson, Timothy B.
Chai, Peter R.
Thompson, Janelle
Alm, Eric J.
author_facet Wu, Fuqing
Zhang, Jianbo
Xiao, Amy
Gu, Xiaoqiong
Lee, Wei Lin
Armas, Federica
Kauffman, Kathryn
Hanage, William
Matus, Mariana
Ghaeli, Newsha
Endo, Noriko
Duvallet, Claire
Poyet, Mathilde
Moniz, Katya
Washburne, Alex D.
Erickson, Timothy B.
Chai, Peter R.
Thompson, Janelle
Alm, Eric J.
author_sort Wu, Fuqing
collection PubMed
description Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the N gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the S gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. IMPORTANCE Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence.
format Online
Article
Text
id pubmed-7566278
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher American Society for Microbiology
record_format MEDLINE/PubMed
spelling pubmed-75662782020-10-30 SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases Wu, Fuqing Zhang, Jianbo Xiao, Amy Gu, Xiaoqiong Lee, Wei Lin Armas, Federica Kauffman, Kathryn Hanage, William Matus, Mariana Ghaeli, Newsha Endo, Noriko Duvallet, Claire Poyet, Mathilde Moniz, Katya Washburne, Alex D. Erickson, Timothy B. Chai, Peter R. Thompson, Janelle Alm, Eric J. mSystems Research Article Wastewater surveillance represents a complementary approach to clinical surveillance to measure the presence and prevalence of emerging infectious diseases like the novel coronavirus SARS-CoV-2. This innovative data source can improve the precision of epidemiological modeling to understand the penetrance of SARS-CoV-2 in specific vulnerable communities. Here, we tested wastewater collected at a major urban treatment facility in Massachusetts and detected SARS-CoV-2 RNA from the N gene at significant titers (57 to 303 copies per ml of sewage) in the period from 18 to 25 March 2020 using RT-qPCR. We validated detection of SARS-CoV-2 by Sanger sequencing the PCR product from the S gene. Viral titers observed were significantly higher than expected based on clinically confirmed cases in Massachusetts as of 25 March. Our approach is scalable and may be useful in modeling the SARS-CoV-2 pandemic and future outbreaks. IMPORTANCE Wastewater-based surveillance is a promising approach for proactive outbreak monitoring. SARS-CoV-2 is shed in stool early in the clinical course and infects a large asymptomatic population, making it an ideal target for wastewater-based monitoring. In this study, we develop a laboratory protocol to quantify viral titers in raw sewage via qPCR analysis and validate results with sequencing analysis. Our results suggest that the number of positive cases estimated from wastewater viral titers is orders of magnitude greater than the number of confirmed clinical cases and therefore may significantly impact efforts to understand the case fatality rate and progression of disease. These data may help inform decisions surrounding the advancement or scale-back of social distancing and quarantine efforts based on dynamic wastewater catchment-level estimations of prevalence. American Society for Microbiology 2020-07-21 /pmc/articles/PMC7566278/ /pubmed/32694130 http://dx.doi.org/10.1128/mSystems.00614-20 Text en Copyright © 2020 Wu et al. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Wu, Fuqing
Zhang, Jianbo
Xiao, Amy
Gu, Xiaoqiong
Lee, Wei Lin
Armas, Federica
Kauffman, Kathryn
Hanage, William
Matus, Mariana
Ghaeli, Newsha
Endo, Noriko
Duvallet, Claire
Poyet, Mathilde
Moniz, Katya
Washburne, Alex D.
Erickson, Timothy B.
Chai, Peter R.
Thompson, Janelle
Alm, Eric J.
SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title_full SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title_fullStr SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title_full_unstemmed SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title_short SARS-CoV-2 Titers in Wastewater Are Higher than Expected from Clinically Confirmed Cases
title_sort sars-cov-2 titers in wastewater are higher than expected from clinically confirmed cases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7566278/
https://www.ncbi.nlm.nih.gov/pubmed/32694130
http://dx.doi.org/10.1128/mSystems.00614-20
work_keys_str_mv AT wufuqing sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT zhangjianbo sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT xiaoamy sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT guxiaoqiong sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT leeweilin sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT armasfederica sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT kauffmankathryn sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT hanagewilliam sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT matusmariana sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT ghaelinewsha sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT endonoriko sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT duvalletclaire sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT poyetmathilde sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT monizkatya sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT washburnealexd sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT ericksontimothyb sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT chaipeterr sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT thompsonjanelle sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases
AT almericj sarscov2titersinwastewaterarehigherthanexpectedfromclinicallyconfirmedcases