Evidence map›Paper›PMID 40342296›Full record

ArticleClinical & translational immunology2025

Differential reactivity of SARS-CoV-2 S-protein T-cell epitopes in vaccinated versus naturally infected individuals.

Daniel J Browne, Pauline Crooks, Corey Smith, Denise L Doolan

Abstract read
In one paragraph

Article in Clinical & translational immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Daniel J BrowneCentre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine James Cook University Cairns QLD Australia.ORCID https://orcid.org/0000-0003-1840-8904
Pauline CrooksQIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Department of Immunology QIMR Berghofer Medical Research Institute Brisbane QLD Australia.
Corey SmithQIMR Berghofer Centre for Immunotherapy and Vaccine Development and Translational and Human Immunology Laboratory, Department of Immunology QIMR Berghofer Medical Research Institute Brisbane QLD Australia.ORCID https://orcid.org/0000-0002-7550-9595
Denise L DoolanCentre for Molecular Therapeutics, Australian Institute of Tropical Health and Medicine James Cook University Cairns QLD Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Vaccine-induced protective immunity against SARS-CoV-2 has proved difficult to sustain. Robust T-cell responses are thought to play an important role, but T-cell responses against the SARS-CoV-2 spike protein (S-protein), the core vaccine antigen, following vaccination or natural infection are incompletely understood. Methods: Herein, the reactivity of 170 putative SARS-CoV-2 S-protein CD8 Results: The profile of immunoreactive SARS-CoV-2 S-protein epitopes differed between vaccination and natural infection. Vaccine-induced immunoreactive epitopes were localised primarily into two extra-domanial regions. In contrast, epitopes recognised following natural infection were spread across the antigen. Furthermore, T-cell epitopes in naïve individuals were primarily recognised in association with HLA-A, while natural infection shifted epitope associations towards HLA-B, particularly the B7 supertype. Conclusion: This study provides insight into T-cell responses against the SARS-CoV-2 S-protein following vaccination and subsequent natural infection.

Indexed as

COVID‐19 vaccinesHLA‐B7 antigenSARS‐CoV‐2spike glycoproteinT‐cell epitopesT‐lymphocyte

Identifiers

PMID40342296
PMCPMC12056234

What OpenQuestion holds

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Registered trials

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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.