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Longitudinal and Quantitative Fecal Shedding Dynamics of SARS-CoV-2, Pepper Mild Mottle Virus and CrAssphage

Authors :
Peter J. Arts
J. Daniel Kelly
Claire M. Midgley
Khamal Anglin
Scott Lu
Glen R. Abedi
Raul Andino
Kevin M. Bakker
Bryon Banman
Alexandria B. Boehm
Melissa Briggs-Hagen
Andrew F. Brouwer
Michelle C. Davidson
Marisa C. Eisenberg
Miguel Garcia-Knight
Sterling Knight
Michael J. Peluso
Jesus Pineda-Ramirez
Ruth Diaz Sanchez
Sharon Saydah
Michel Tassetto
Jeffrey N. Martin
Krista R. Wigginton
Publication Year :
2023
Publisher :
Cold Spring Harbor Laboratory, 2023.

Abstract

Wastewater-based epidemiology (WBE) emerged during the COVID-19 pandemic as a scalable and broadly applicable method for community-level monitoring of infectious disease burden, though the lack of high-quality, longitudinal fecal shedding data of SARS-CoV-2 and other viruses limits the interpretation and applicability of wastewater measurements. In this study, we present longitudinal, quantitative fecal shedding data for SARS-CoV-2 RNA, as well as 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, with individual measurements varying from below limit of detection to 2.79×106gene copies/mg - dry mass of stool (gc/mg-dw). Of individuals that contributed at least 3 samples covering a range of at least 15 of the first 30 days after initial acute symptom onset, 77.4% had at least one positive SARS-CoV-2 RNA stool sample measurement. We detected PMMoV RNA in at least one sample from all individuals and in 96% (352/367) of samples overall; and measured crAssphage DNA above detection limits in 80% (38/48) of individuals and 48% (179/371) of samples. Median shedding values for PMMoV and crAssphage nucleic acids were 1×105gc/mg-dw and 1.86×103gc/mg-dw, respectively. These results can be used to inform and build mechanistic models to significantly broaden the potential of WBE modeling and to provide more accurate insight into SARS-CoV-2 prevalence estimates.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........e7cbb79f61aa5f037ce96b92b6935ef2
Full Text :
https://doi.org/10.1101/2023.02.02.23285391