Cargando…
Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage
Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavir...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506459/ https://www.ncbi.nlm.nih.gov/pubmed/37338211 http://dx.doi.org/10.1128/msphere.00132-23 |
_version_ | 1785107122229346304 |
---|---|
author | Arts, Peter J. Kelly, J. Daniel Midgley, Claire M. Anglin, Khamal Lu, Scott Abedi, Glen R. Andino, Raul Bakker, Kevin M. Banman, Bryon Boehm, Alexandria B. Briggs-Hagen, Melissa Brouwer, Andrew F. Davidson, Michelle C. Eisenberg, Marisa C. Garcia-Knight, Miguel Knight, Sterling Peluso, Michael J. Pineda-Ramirez, Jesus Diaz Sanchez, Ruth Saydah, Sharon Tassetto, Michel Martin, Jeffrey N. Wigginton, Krista R. |
author_facet | Arts, Peter J. Kelly, J. Daniel Midgley, Claire M. Anglin, Khamal Lu, Scott Abedi, Glen R. Andino, Raul Bakker, Kevin M. Banman, Bryon Boehm, Alexandria B. Briggs-Hagen, Melissa Brouwer, Andrew F. Davidson, Michelle C. Eisenberg, Marisa C. Garcia-Knight, Miguel Knight, Sterling Peluso, Michael J. Pineda-Ramirez, Jesus Diaz Sanchez, Ruth Saydah, Sharon Tassetto, Michel Martin, Jeffrey N. Wigginton, Krista R. |
author_sort | Arts, Peter J. |
collection | PubMed |
description | Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) limits our ability to link WBE measurements to disease burden. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as for the commonly used fecal indicators pepper mild mottle virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2-infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding. Of the individuals that provided at least three stool samples spanning more than 14 days, 77% had one or more samples that tested positive for SARS-CoV-2 RNA. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall. CrAssphage DNA was detected in at least one sample from 80% (38/48) of individuals and was detected in 48% (179/371) of all samples. The geometric mean concentrations of PMMoV and crAssphage in stool across all individuals were 8.7 × 10(4) and 1.4 × 10(4) gene copies/milligram-dry weight, respectively, and crAssphage shedding was more consistent for individuals than PMMoV shedding. These results provide us with a missing link needed to connect laboratory WBE results with mechanistic models, and this will aid in more accurate estimates of COVID-19 burden in sewersheds. Additionally, the PMMoV and crAssphage data are critical for evaluating their utility as fecal strength normalizing measures and for source-tracking applications. IMPORTANCE: This research represents a critical step in the advancement of wastewater monitoring for public health. To date, mechanistic materials balance modeling of wastewater-based epidemiology has relied on SARS-CoV-2 fecal shedding estimates from small-scale clinical reports or meta-analyses of research using a wide range of analytical methodologies. Additionally, previous SARS-CoV-2 fecal shedding data have not contained sufficient methodological information for building accurate materials balance models. Like SARS-CoV-2, fecal shedding of PMMoV and crAssphage has been understudied to date. The data presented here provide externally valid and longitudinal fecal shedding data for SARS-CoV-2, PMMoV, and crAssphage which can be directly applied to WBE models and ultimately increase the utility of WBE. |
format | Online Article Text |
id | pubmed-10506459 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-105064592023-09-19 Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage Arts, Peter J. Kelly, J. Daniel Midgley, Claire M. Anglin, Khamal Lu, Scott Abedi, Glen R. Andino, Raul Bakker, Kevin M. Banman, Bryon Boehm, Alexandria B. Briggs-Hagen, Melissa Brouwer, Andrew F. Davidson, Michelle C. Eisenberg, Marisa C. Garcia-Knight, Miguel Knight, Sterling Peluso, Michael J. Pineda-Ramirez, Jesus Diaz Sanchez, Ruth Saydah, Sharon Tassetto, Michel Martin, Jeffrey N. Wigginton, Krista R. mSphere Research Article Wastewater-based epidemiology (WBE) emerged during the coronavirus disease 2019 (COVID-19) pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden. The lack of high-resolution fecal shedding data for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) limits our ability to link WBE measurements to disease burden. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as for the commonly used fecal indicators pepper mild mottle virus (PMMoV) RNA and crAss-like phage (crAssphage) DNA. The shedding trajectories from 48 SARS-CoV-2-infected individuals suggest a highly individualized, dynamic course of SARS-CoV-2 RNA fecal shedding. Of the individuals that provided at least three stool samples spanning more than 14 days, 77% had one or more samples that tested positive for SARS-CoV-2 RNA. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall. CrAssphage DNA was detected in at least one sample from 80% (38/48) of individuals and was detected in 48% (179/371) of all samples. The geometric mean concentrations of PMMoV and crAssphage in stool across all individuals were 8.7 × 10(4) and 1.4 × 10(4) gene copies/milligram-dry weight, respectively, and crAssphage shedding was more consistent for individuals than PMMoV shedding. These results provide us with a missing link needed to connect laboratory WBE results with mechanistic models, and this will aid in more accurate estimates of COVID-19 burden in sewersheds. Additionally, the PMMoV and crAssphage data are critical for evaluating their utility as fecal strength normalizing measures and for source-tracking applications. IMPORTANCE: This research represents a critical step in the advancement of wastewater monitoring for public health. To date, mechanistic materials balance modeling of wastewater-based epidemiology has relied on SARS-CoV-2 fecal shedding estimates from small-scale clinical reports or meta-analyses of research using a wide range of analytical methodologies. Additionally, previous SARS-CoV-2 fecal shedding data have not contained sufficient methodological information for building accurate materials balance models. Like SARS-CoV-2, fecal shedding of PMMoV and crAssphage has been understudied to date. The data presented here provide externally valid and longitudinal fecal shedding data for SARS-CoV-2, PMMoV, and crAssphage which can be directly applied to WBE models and ultimately increase the utility of WBE. American Society for Microbiology 2023-06-20 /pmc/articles/PMC10506459/ /pubmed/37338211 http://dx.doi.org/10.1128/msphere.00132-23 Text en Copyright © 2023 Arts 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 Arts, Peter J. Kelly, J. Daniel Midgley, Claire M. Anglin, Khamal Lu, Scott Abedi, Glen R. Andino, Raul Bakker, Kevin M. Banman, Bryon Boehm, Alexandria B. Briggs-Hagen, Melissa Brouwer, Andrew F. Davidson, Michelle C. Eisenberg, Marisa C. Garcia-Knight, Miguel Knight, Sterling Peluso, Michael J. Pineda-Ramirez, Jesus Diaz Sanchez, Ruth Saydah, Sharon Tassetto, Michel Martin, Jeffrey N. Wigginton, Krista R. Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title | Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title_full | Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title_fullStr | Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title_full_unstemmed | Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title_short | Longitudinal and quantitative fecal shedding dynamics of SARS-CoV-2, pepper mild mottle virus, and crAssphage |
title_sort | longitudinal and quantitative fecal shedding dynamics of sars-cov-2, pepper mild mottle virus, and crassphage |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10506459/ https://www.ncbi.nlm.nih.gov/pubmed/37338211 http://dx.doi.org/10.1128/msphere.00132-23 |
work_keys_str_mv | AT artspeterj longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT kellyjdaniel longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT midgleyclairem longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT anglinkhamal longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT luscott longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT abediglenr longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT andinoraul longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT bakkerkevinm longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT banmanbryon longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT boehmalexandriab longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT briggshagenmelissa longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT brouwerandrewf longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT davidsonmichellec longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT eisenbergmarisac longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT garciaknightmiguel longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT knightsterling longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT pelusomichaelj longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT pinedaramirezjesus longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT diazsanchezruth longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT saydahsharon longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT tassettomichel longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT martinjeffreyn longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage AT wiggintonkristar longitudinalandquantitativefecalsheddingdynamicsofsarscov2peppermildmottlevirusandcrassphage |