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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.
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.
Afiliação
  • Fryer HR; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Golubchik T; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Hall M; Sydney Infectious Diseases Institute (Sydney ID), School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.
  • Fraser C; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Hinch R; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Ferretti L; Pandemic Sciences Institute, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Thomson L; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Nurtay A; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Pellis L; Pandemic Sciences Institute, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • House T; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • MacIntyre-Cockett G; Big Data Institute, Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, United Kingdom.
  • Trebes A; Department of Mathematics, University of Manchester, Manchester, United Kingdom.
  • Buck D; The Alan Turing Institute, London, United Kingdom.
  • Piazza P; Department of Mathematics, University of Manchester, Manchester, United Kingdom.
  • Green A; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • Lonie LJ; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • Smith D; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • Bashton M; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • Crown M; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • Nelson A; Wellcome Centre for Human Genetics, Oxford, United Kingdom.
  • McCann CM; The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Adnan Tariq M; The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Elstob CJ; The Hub for Biotechnology in the Built Environment, Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Nunes Dos Santos R; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Richards Z; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Xhang X; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Hawley J; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Lee MR; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Carrillo-Barragan P; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Chapman I; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Harthern-Flint S; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Bonsall D; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
  • Lythgoe KA; Department of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle upon Tyne, United Kingdom.
PLoS Pathog ; 19(8): e1011461, 2023 08.
Article em En | MEDLINE | ID: mdl-37578971
ABSTRACT
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: SARS-CoV-2 / COVID-19 Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article