Evidence map›Paper›PMID 37292842›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Within-host SARS-CoV-2 viral kinetics informed by complex life course exposures reveals different intrinsic properties of Omicron and Delta variants.

Timothy W Russell, Hermaleigh Townsley, Sam Abbott, Joel Hellewell, Edward J Carr, Lloyd Chapman, Rachael Pung, Billy J Quilty, David Hodgson, Ashley S Fowler and 16 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 4 institutions in 1 country.

Timothy W RussellCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Hermaleigh TownsleyThe Francis Crick Institute, 1 Midland Road, London, UK.
Sam AbbottCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Joel HellewellEuropean Molecular Biology Laboratory-European Bioinformatics Institute, Cambridge, UK.
Edward J CarrThe Francis Crick Institute, 1 Midland Road, London, UK.
Lloyd ChapmanCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Rachael PungCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Billy J QuiltyCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
David HodgsonCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
Ashley S FowlerThe Francis Crick Institute, 1 Midland Road, London, UK.
Lorin AdamsThe Francis Crick Institute, 1 Midland Road, London, UK.
Christopher BaileyThe Francis Crick Institute, 1 Midland Road, London, UK.
Harriet V MearsThe Francis Crick Institute, 1 Midland Road, London, UK.
Ruth HarveyThe Francis Crick Institute, 1 Midland Road, London, UK.
Bobbi ClaytonThe Francis Crick Institute, 1 Midland Road, London, UK.
Nicola O'ReillyThe Francis Crick Institute, 1 Midland Road, London, UK.
Yenting NgaiThe Francis Crick Institute, 1 Midland Road, London, UK.
Jerome NicodThe Francis Crick Institute, 1 Midland Road, London, UK.
Steve GamblinThe Francis Crick Institute, 1 Midland Road, London, UK.
Bryan WilliamsNational Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre and NIHR UCLH Clinical Research Facility, London, UK.
Sonia GandhiThe Francis Crick Institute, 1 Midland Road, London, UK.
Charles SwantonThe Francis Crick Institute, 1 Midland Road, London, UK.
Rupert BealeThe Francis Crick Institute, 1 Midland Road, London, UK.
David Lv BauerThe Francis Crick Institute, 1 Midland Road, London, UK.
Emma C WallThe Francis Crick Institute, 1 Midland Road, London, UK.
Adam KucharskiCentre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, UK.
The Francis Crick Institute · GBLondon School of Hygiene & Tropical Medicine · GBEuropean Bioinformatics Institute · GBNational Institute for Health Research · GB

Funding

Does repeated influenza vaccination constrain influenza immune responses and protection?R01AI141534 · NIAID · UNIVERSITY OF MELBOURNE · PI FOX, ANNETTE, KUCHARSKI, ADAM JAMES · 2019 to 2023
$4.9M
Medical Research Council MR/W005611/1Medical Research Council MR/X006751/1NIAID NIH HHS R01 AI141534Wellcome Trust FC001030Wellcome Trust FC001078Wellcome Trust FC001099Wellcome Trust FC001159Wellcome Trust FC001169Wellcome Trust FC001827Wellcome Trust FC011104
6 · The paper itself

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.

Identifiers

PMID37292842
PMCPMC10246130
OpenAlexW4377966485

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.