Your browser doesn't support javascript.
loading
Within-host SARS-CoV-2 viral kinetics informed by complex life course exposures reveals different intrinsic properties of Omicron and Delta variants.
Russell, Timothy W; Townsley, Hermaleigh; Abbott, Sam; Hellewell, Joel; Carr, Edward J; Chapman, Lloyd; Pung, Rachael; Quilty, Billy J; Hodgson, David; Fowler, Ashley S; Adams, Lorin; Bailey, Christopher; Mears, Harriet V; Harvey, Ruth; Clayton, Bobbi; O'Reilly, Nicola; Ngai, Yenting; Nicod, Jerome; Gamblin, Steve; Williams, Bryan; Gandhi, Sonia; Swanton, Charles; Beale, Rupert; Bauer, David Lv; Wall, Emma C; Kucharski, Adam.
Afiliação
  • Russell TW; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Townsley H; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Abbott S; National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre and NIHR UCLH Clinical Research Facility, London, UK.
  • Hellewell J; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Carr EJ; European Molecular Biology Laboratory-European Bioinformatics Institute, Cambridge, UK.
  • Chapman L; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Pung R; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Quilty BJ; Lancaster University, Bailrigg, Lancaster.
  • Hodgson D; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Fowler AS; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Adams L; Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
  • Bailey C; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Mears HV; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Harvey R; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Clayton B; The Francis Crick Institute, 1 Midland Road, London, UK.
  • O'Reilly N; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Ngai Y; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Nicod J; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Gamblin S; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Williams B; University College London, Gower Street, London.
  • Gandhi S; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Swanton C; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Beale R; National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre and NIHR UCLH Clinical Research Facility, London, UK.
  • Bauer DL; University College London, Gower Street, London.
  • Wall EC; The Francis Crick Institute, 1 Midland Road, London, UK.
  • Kucharski A; University College London, Gower Street, London.
medRxiv ; 2023 May 24.
Article em En | MEDLINE | ID: mdl-37292842
ABSTRACT
The emergence of successive SARS-CoV-2 variants of concern (VOC) during 2020-22, each exhibiting increased epidemic growth relative to earlier circulating variants, has created a need to understand the drivers of such growth. However, both pathogen biology and changing host characteristics - such as varying levels of immunity - can combine to influence replication and transmission of SARS-CoV-2 within and between hosts. Disentangling the role of variant and host in individual-level viral shedding of VOCs is essential to inform COVID-19 planning and response, and interpret past epidemic trends. Using data from a prospective observational cohort study of healthy adult volunteers undergoing weekly occupational health PCR screening, we developed a Bayesian hierarchical model to reconstruct individual-level viral kinetics and estimate how different factors shaped viral dynamics, measured by PCR cycle threshold (Ct) values over time. Jointly accounting for both inter-individual variation in Ct values and complex host characteristics - such as vaccination status, exposure history and age - we found that age and number of prior exposures had a strong influence on peak viral replication. Older individuals and those who had at least five prior antigen exposures to vaccination and/or infection typically had much lower levels of shedding. Moreover, we found evidence of a correlation between the speed of early shedding and duration of incubation period when comparing different VOCs and age groups. Our findings illustrate the value of linking information on participant characteristics, symptom profile and infecting variant with prospective PCR sampling, and the importance of accounting for increasingly complex population exposure landscapes when analysing the viral kinetics of VOCs.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies / Prognostic_studies Idioma: En Revista: MedRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Reino Unido
...