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Record W3211947794 · doi:10.1016/s2666-5247(21)00275-5

T-cell and antibody responses to first BNT162b2 vaccine dose in previously infected and SARS-CoV-2-naive UK health-care workers: a multicentre prospective cohort study

2021· article· en· W3211947794 on OpenAlexfundno aff
Adrienn Angyal, Stéphanie Longet, Shona C. Moore, Rebecca Payne, Adam Harding, Tom Tipton, Patpong Rongkard, Mohammad Ali, Luisa M. Hering, Naomi Meardon, James E. Austin, Rebecca Brown, Donal Skelly, Natalie Gillson, Sue L. Dobson, Andrew Cross, Gurjinder Sandhar, Jonathan A. Kilby, Jessica K. Tyerman, Alexander R. Nicols, Jarmila Stremenova Spegarova, Hema Mehta, Hailey Hornsby, Rachel Whitham, Christopher P. Conlon, Katie Jeffery, Philip Goulder, John Frater, Christina Dold, Matthew Pace, Ane Ogbe, Helen Brown, M. Azim Ansari, Emily Adland, Anthony Brown, Meera Chand, Adrian Shields, Philippa C. Matthews, Susan Hopkins, Victoria Hall, William James, Sarah Rowland‐Jones, Paul Klenerman, Susanna Dunachie, Alex Richter, C.J. Duncan, Eleanor Barnes, Miles W. Carroll, Lance Turtle, Thushan I. de Silva, Adam Watson, Ahmed Alhussni, Alexandra Deeks, Alice Webb-Bridges, Anni Jämsén, Anu Chawla, Denise O’Donnell, Esme Weeks, Helen Brown, Hibatullah Abuelgasim, Huiyuan Xiao, Jennifer Holmes, Jenny Haworth, Joseph Cutteridge, Katy Lillie, Leigh Romaniuk, Lucy Denly, Mohammad Ali, Mwila Kasanyinga, Robert Wilson, Sarah Thomas, Siobhan Gardiner, Stephanie Tucker, Syed Adlou, Allan Lawrie, Nikki Smith, H. Turton, Amira Zawia, Martin Bayley, Alex Fairman, Kate Harrington, Rosemary Kirk, Louise Marsh, Lisa Watson, Steven C. Wood, Benjamin Diffey, Christopher R. Jones, Lauren Lett, Gareth Platt, Krishanthi Subramaniam, Dan Wootton, Brendan Payne, Sophie Hambleton, Sinéad Kelly, J. H. MARSTON, Sonia Poolan, Dianne Turner, Muzlifah Haniffa, Emily Stephenson, Sandra Adele, Hossain Delowar Akhter, Senthil Chinnakannan, Catherine de Lara, Timothy Donnison, Carl-Philipp Hackstein, Lian Ni Lee, Nicholas Lim, Tom Malone, Eloise Phillips, Narayan Ramamurthy, Nichola Robinson, Oliver Sampson, David W. Eyre, Beatrice Simmons, Lizzie Stafford, Alexander J. Mentzer, Ali Amini, Carolina V. Arancibia-Cárcamo, Nicholas M. Provine, Simon Travis, Stavros Dimitriadis, Síle A. Johnson, Sarah Foulkes, Jameel Khawam, Edgar Wellington, Javier Gilbert‐Jaramillo, Michael L. Knight, Maeva Dupont, Emily C. Horner, James Thaventhiran, Jeremy Chalk

Bibliographic record

VenueThe Lancet Microbe · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsnot available
FundersMedical Research CouncilNational Institutes of HealthHamilton Health Sciences FoundationUniversity of OxfordPublic Health EnglandDepartment of Health and Social CareNational Institute for Health and Care ResearchNational Institute for Health Research Health Protection Research UnitUK Research and InnovationAcademy of Medical SciencesBritish Heart FoundationWellcome Trust
KeywordsMedicineSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Prospective cohort studyCohortCoronavirus disease 2019 (COVID-19)Antibody responseCohort study2019-20 coronavirus outbreakAntibodyHealth careVirologyFamily medicineImmunologyInternal medicineDiseaseOutbreak

Abstract

fetched live from OpenAlex

Background Previous infection with SARS-CoV-2 affects the immune response to the first dose of the SARS-CoV-2 vaccine. We aimed to compare SARS-CoV-2-specific T-cell and antibody responses in health-care workers with and without previous SARS-CoV-2 infection following a single dose of the BNT162b2 (tozinameran; Pfizer–BioNTech) mRNA vaccine. Methods We sampled health-care workers enrolled in the PITCH study across four hospital sites in the UK (Oxford, Liverpool, Newcastle, and Sheffield). All health-care workers aged 18 years or older consenting to participate in this prospective cohort study were included, with no exclusion criteria applied. Blood samples were collected where possible before vaccination and 28 (±7) days following one or two doses (given 3–4 weeks apart) of the BNT162b2 vaccine. Previous infection was determined by a documented SARS-CoV-2-positive RT-PCR result or the presence of positive anti-SARS-CoV-2 nucleocapsid antibodies. We measured spike-specific IgG antibodies and quantified T-cell responses by interferon-γ enzyme-linked immunospot assay in all participants where samples were available at the time of analysis, comparing SARS-CoV-2-naive individuals to those with previous infection. Findings Between Dec 9, 2020, and Feb 9, 2021, 119 SARS-CoV-2-naive and 145 previously infected health-care workers received one dose, and 25 SARS-CoV-2-naive health-care workers received two doses, of the BNT162b2 vaccine. In previously infected health-care workers, the median time from previous infection to vaccination was 268 days (IQR 232–285). At 28 days (IQR 27–33) after a single dose, the spike-specific T-cell response measured in fresh peripheral blood mononuclear cells (PBMCs) was higher in previously infected (n=76) than in infection-naive (n=45) health-care workers (median 284 [IQR 150–461] vs 55 [IQR 24–132] spot-forming units [SFUs] per 10 6 PBMCs; p<0·0001). With cryopreserved PBMCs, the T-cell response in previously infected individuals (n=52) after one vaccine dose was equivalent to that of infection-naive individuals (n=19) after receiving two vaccine doses (median 152 [IQR 119–275] vs 162 [104–258] SFUs/10 6 PBMCs; p=1·00). Anti-spike IgG antibody responses following a single dose in 142 previously infected health-care workers (median 270 373 [IQR 203 461–535 188] antibody units [AU] per mL) were higher than in 111 infection-naive health-care workers following one dose (35 001 [17 099–55 341] AU/mL; p<0·0001) and higher than in 25 infection-naive individuals given two doses (180 904 [108 221–242 467] AU/mL; p<0·0001). Interpretation A single dose of the BNT162b2 vaccine is likely to provide greater protection against SARS-CoV-2 infection in individuals with previous SARS-CoV-2 infection, than in SARS-CoV-2-naive individuals, including against variants of concern. Future studies should determine the additional benefit of a second dose on the magnitude and durability of immune responses in individuals vaccinated following infection, alongside evaluation of the impact of extending the interval between vaccine doses. Funding UK Department of Health and Social Care, and UK Coronavirus Immunology Consortium.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.028
GPT teacher head0.364
Teacher spread0.336 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations177
Published2021
Admission routes1
Has abstractyes

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