TY - JOUR
T1 - 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
AU - The COVID-19 Genomics UK (COG-UK) Consortium
AU - Fryer, Helen R.
AU - Golubchik, Tanya
AU - Hall, Matthew
AU - Fraser, Christophe
AU - Hinch, Robert
AU - Ferretti, Luca
AU - Thomson, Laura
AU - Nurtay, Anel
AU - Pellis, Lorenzo
AU - House, Thomas
AU - MacIntyre-Cockett, George
AU - Trebes, Amy
AU - Buck, David
AU - Piazza, Paolo
AU - Green, Angie
AU - Lonie, Lorne J.
AU - Smith, Darren
AU - Bashton, Matthew
AU - Crown, Matthew
AU - Nelson, Andrew
AU - McCann, Clare M
AU - Tariq, Mohammed (Adnan)
AU - Elstob, Claire
AU - Nunes Dos Santos, Rui
AU - Richards, Zack
AU - Xhang, Xin
AU - Hawley, Joseph
AU - Lee, Mark R
AU - Carrillo-Barragan, Priscilla
AU - Chapman, Isobel
AU - Harthern-Flint, Sarah
AU - Bonsall, David
AU - Lythgoe, Katrina A.
N1 - Funding information: KAL and HF were supported by The Wellcome Trust and The Royal Society (107652/Z/15/Z to KAL) and by the Li Ka Shing Foundation funding awarded to KAL David Bonsall was supported by the Bill and Melinda Gates Foundation (INV-003680) and by COG-UK (which is funded by the Medical Research Council (MRC) part of UK Research & Innovation (UKRI), the National Institute of Health Research (NIHR) (grant code: MC_PC_19027), and Genome Research Limited, operating as the Wellcome Sanger Institute.TG is funded by a strategic grant from the Sydney Institute for Infectious Diseases (Sydney ID), University of Sydney. RH, MH, LF, LT, AN and CF were funded by a Li Ka Shing Foundation grant to CF. LP was funded by the Wellcome Trust and Royal Society (grant number 202562/Z/16/Z), the UKRI through the JUNIPER modelling consortium (grant number MR/V038613/1 to LP) and the Alan Turing Institute under the EPSRC grant (EP/N510129/1 to LP). TH was funded by the Royal Society (grant code: INF\R2\180067). AT, David Buck, PP, LL, AG and GM-C were funded by The Wellcome Trust (203141/Z/16/Z awarded to David Bonsall). DS, MB, AN, CM were funded by UKHSA. DS was funded by COG-UK. DS, MB, GY were funded by Research England E3: HBBE. DS, AN, CM were supported by Northumbria University. CE, XX, JH, ML, PC-B, IC, SH-F and MAT were contract researchers at Northumbria University, funded by UKHSA as a DNA sequencing resilience site. ZR, MC and RNDS were supported by HBBE/COG-UK. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
PY - 2023/8/14
Y1 - 2023/8/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85168808017&partnerID=8YFLogxK
U2 - 10.1371/journal.ppat.1011461
DO - 10.1371/journal.ppat.1011461
M3 - Article
C2 - 37578971
SN - 1553-7366
VL - 19
JO - PLoS Pathogens
JF - PLoS Pathogens
IS - 8
M1 - e1011461
ER -