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Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias

In this study, we evaluated the impact of viral variant, in addition to other variables, on within-host viral burden, by analysing cycle threshold (Ct) values derived from nose and throat swabs, collected as part of the UK COVID-19 Infection Survey. Because viral burden distributions determined from...

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Autores principales: Fryer, Helen R., Golubchik, Tanya, Hall, Matthew, Fraser, Christophe, Hinch, Robert, Ferretti, Luca, Thomson, Laura, Nurtay, Anel, Pellis, Lorenzo, House, Thomas, MacIntyre-Cockett, George, Trebes, Amy, Buck, David, Piazza, Paolo, Green, Angie, Lonie, Lorne J, Smith, Darren, Bashton, Matthew, Crown, Matthew, Nelson, Andrew, McCann, Clare M., Adnan Tariq, Mohammed, Elstob, Claire J., Nunes Dos Santos, Rui, Richards, Zack, Xhang, Xin, Hawley, Joseph, Lee, Mark R., Carrillo-Barragan, Priscilla, Chapman, Isobel, Harthern-Flint, Sarah, Bonsall, David, Lythgoe, Katrina A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449197/
https://www.ncbi.nlm.nih.gov/pubmed/37578971
http://dx.doi.org/10.1371/journal.ppat.1011461
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author Fryer, Helen R.
Golubchik, Tanya
Hall, Matthew
Fraser, Christophe
Hinch, Robert
Ferretti, Luca
Thomson, Laura
Nurtay, Anel
Pellis, Lorenzo
House, Thomas
MacIntyre-Cockett, George
Trebes, Amy
Buck, David
Piazza, Paolo
Green, Angie
Lonie, Lorne J
Smith, Darren
Bashton, Matthew
Crown, Matthew
Nelson, Andrew
McCann, Clare M.
Adnan Tariq, Mohammed
Elstob, Claire J.
Nunes Dos Santos, Rui
Richards, Zack
Xhang, Xin
Hawley, Joseph
Lee, Mark R.
Carrillo-Barragan, Priscilla
Chapman, Isobel
Harthern-Flint, Sarah
Bonsall, David
Lythgoe, Katrina A.
author_facet Fryer, Helen R.
Golubchik, Tanya
Hall, Matthew
Fraser, Christophe
Hinch, Robert
Ferretti, Luca
Thomson, Laura
Nurtay, Anel
Pellis, Lorenzo
House, Thomas
MacIntyre-Cockett, George
Trebes, Amy
Buck, David
Piazza, Paolo
Green, Angie
Lonie, Lorne J
Smith, Darren
Bashton, Matthew
Crown, Matthew
Nelson, Andrew
McCann, Clare M.
Adnan Tariq, Mohammed
Elstob, Claire J.
Nunes Dos Santos, Rui
Richards, Zack
Xhang, Xin
Hawley, Joseph
Lee, Mark R.
Carrillo-Barragan, Priscilla
Chapman, Isobel
Harthern-Flint, Sarah
Bonsall, David
Lythgoe, Katrina A.
author_sort Fryer, Helen R.
collection PubMed
description In this study, we evaluated the impact of viral variant, in addition to other variables, on within-host viral burden, by analysing cycle threshold (Ct) values derived from nose and throat swabs, collected as part of the UK COVID-19 Infection Survey. Because viral burden distributions determined from community survey data can be biased due to the impact of variant epidemiology on the time-since-infection of samples, we developed a method to explicitly adjust observed Ct value distributions to account for the expected bias. By analysing the adjusted Ct values using partial least squares regression, we found that among unvaccinated individuals with no known prior exposure, viral burden was 44% lower among Alpha variant infections, compared to those with the predecessor strain, B.1.177. Vaccination reduced viral burden by 67%, and among vaccinated individuals, viral burden was 286% higher among Delta variant, compared to Alpha variant, infections. In addition, viral burden increased by 17% for every 10-year age increment of the infected individual. In summary, within-host viral burden increases with age, is reduced by vaccination, and is influenced by the interplay of vaccination status and viral variant.
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spelling pubmed-104491972023-08-25 Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias Fryer, Helen R. Golubchik, Tanya Hall, Matthew Fraser, Christophe Hinch, Robert Ferretti, Luca Thomson, Laura Nurtay, Anel Pellis, Lorenzo House, Thomas MacIntyre-Cockett, George Trebes, Amy Buck, David Piazza, Paolo Green, Angie Lonie, Lorne J Smith, Darren Bashton, Matthew Crown, Matthew Nelson, Andrew McCann, Clare M. Adnan Tariq, Mohammed Elstob, Claire J. Nunes Dos Santos, Rui Richards, Zack Xhang, Xin Hawley, Joseph Lee, Mark R. Carrillo-Barragan, Priscilla Chapman, Isobel Harthern-Flint, Sarah Bonsall, David Lythgoe, Katrina A. PLoS Pathog Research Article In this study, we evaluated the impact of viral variant, in addition to other variables, on within-host viral burden, by analysing cycle threshold (Ct) values derived from nose and throat swabs, collected as part of the UK COVID-19 Infection Survey. Because viral burden distributions determined from community survey data can be biased due to the impact of variant epidemiology on the time-since-infection of samples, we developed a method to explicitly adjust observed Ct value distributions to account for the expected bias. By analysing the adjusted Ct values using partial least squares regression, we found that among unvaccinated individuals with no known prior exposure, viral burden was 44% lower among Alpha variant infections, compared to those with the predecessor strain, B.1.177. Vaccination reduced viral burden by 67%, and among vaccinated individuals, viral burden was 286% higher among Delta variant, compared to Alpha variant, infections. In addition, viral burden increased by 17% for every 10-year age increment of the infected individual. In summary, within-host viral burden increases with age, is reduced by vaccination, and is influenced by the interplay of vaccination status and viral variant. Public Library of Science 2023-08-14 /pmc/articles/PMC10449197/ /pubmed/37578971 http://dx.doi.org/10.1371/journal.ppat.1011461 Text en © 2023 Fryer et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Fryer, Helen R.
Golubchik, Tanya
Hall, Matthew
Fraser, Christophe
Hinch, Robert
Ferretti, Luca
Thomson, Laura
Nurtay, Anel
Pellis, Lorenzo
House, Thomas
MacIntyre-Cockett, George
Trebes, Amy
Buck, David
Piazza, Paolo
Green, Angie
Lonie, Lorne J
Smith, Darren
Bashton, Matthew
Crown, Matthew
Nelson, Andrew
McCann, Clare M.
Adnan Tariq, Mohammed
Elstob, Claire J.
Nunes Dos Santos, Rui
Richards, Zack
Xhang, Xin
Hawley, Joseph
Lee, Mark R.
Carrillo-Barragan, Priscilla
Chapman, Isobel
Harthern-Flint, Sarah
Bonsall, David
Lythgoe, Katrina A.
Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title_full Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title_fullStr Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title_full_unstemmed Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title_short Viral burden is associated with age, vaccination, and viral variant in a population-representative study of SARS-CoV-2 that accounts for time-since-infection-related sampling bias
title_sort viral burden is associated with age, vaccination, and viral variant in a population-representative study of sars-cov-2 that accounts for time-since-infection-related sampling bias
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449197/
https://www.ncbi.nlm.nih.gov/pubmed/37578971
http://dx.doi.org/10.1371/journal.ppat.1011461
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