Evidence map›Paper›PMID 41112294›Full record

ArticleFrontiers in immunology2025

Patterns of restricted TCR usage following SARS-CoV-2 vaccination and severe disease.

Emily Parsons, Zhongyan Lu, Stephanie A Richard, Amanda Zelkoski, Janifer Le, Naraen Palanikumar, Phuong Nguyen, Camille Alba, Gauthaman Sukumar, John Rosenberger and 13 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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.

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

23 authors.

Emily ParsonsDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Zhongyan LuDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Stephanie A RichardHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Amanda ZelkoskiDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Janifer LeDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Naraen PalanikumarDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Phuong NguyenDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Camille AlbaHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Gauthaman SukumarHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
John RosenbergerHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Xijun ZhangHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Timothy H BurgessInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Rhonda ColomboHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Katrin MendeHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Catherine BerjohnHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Nursat EpsiHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Brian K AganHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
David TribbleInfectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
David A LindholmDepartment of Medicine, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Clifton L DalgardDepartment of Anatomy, Physiology, and Genetics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
Simon D PollettHenry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, United States.
Allison M W MalloyDepartment of Pediatrics, Uniformed Services University of the Health Sciences, Bethesda, MD, United States.
EPICC COVID-19 Cohort Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: T cells influence COVID-19 severity and establish long-lasting immune memory in response to vaccination and infection. The diversity of the T cell repertoire, and complexity of T cell epitope recognition, make it challenging to define protective epitope-specific T cells. In this study, we created a highly specific TCR meta-database to identify T cell epitopes from the nearly complete SARS-CoV-2 proteome and determine whether vaccination with mRNA vaccines influenced the TCR repertoire. Methods: Using this meta-database, we analyzed immunosequencing data of genomic DNA to define the variable region of T cell receptor (TCR) b chain (TCRB) sequences among participants in a longitudinal COVID-19 cohort study. The TCR repertoire was compared between participants who were vaccinated or unvaccinated against SARS-CoV-2 and stratified by disease severity. TCR diversity was measured using clonality, an index defined as the inverted normalized Shannon entropy. Results: Highly clonal TCR repertoires correlated with age and comorbidities. Using our meta-database approach, we found that vaccinated participants hospitalized with infection had the most restricted SARS-CoV-2-specific CD8 TCR repertoire. However, TCRB with predicted specificity to non-spike SARS-CoV-2 proteins dominated the response, even in vaccinated participants. We identified a peptide sequence in the ORF10 accessory protein that was more frequently recognized in study participants with mild disease. Conversely, CD8 T cell recognition of a peptide sequence in ORF1ab more closely correlated with severe disease. Discussion: Overarchingly, TCR repertoire analysis revealed that CD8 T cells responding to SARS-CoV-2 broadly recognize epitopes across the SARS-CoV-2 proteome, and provided opportunities to identify epitopes associated with disease.

Indexed as

COVID-19COVID-19 VaccinesReceptors, Antigen, T-CellSARS-CoV-2AdultAgedEpitopes, T-LymphocyteFemaleHumansLongitudinal StudiesMaleMiddle AgedSeverity of Illness IndexVaccinationCOVID-19 VaccinesEpitopes, T-LymphocyteReceptors, Antigen, T-CellCD8 T cellsSARS-CoV-2T cell receptor sequencingT cell receptor (TCR)vaccination

Identifiers

PMID41112294
PMCPMC12528067

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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.