Evidence map›Paper›PMID 36752852›Full record

ReviewImmunogenetics2023

Role of T cells in severe COVID-19 disease, protection, and long term immunity.

Julia Maret Hermens, Can Kesmir

Open access · hybridAbstract readReview
In one paragraph

Review in Immunogenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
10.5field-weighted citation impact, top 1% of its field
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

35 citing papers in PubMed, 54 citations in OpenAlex.

  1. Analysis of Antibody Markers as Immune Correlates of Risk of Severe COVID-19 in the PREVENT-19 Efficacy Trial of the NVX-CoV2373 Recombinant Protein Vaccine.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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  13. The effect of COVID-19 and sex differences on natural killer cell cytotoxicity.Frontiers in cellular and infection microbiology · 2025
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  19. Immune Profile in COVID-19: Unveiling TInternational journal of molecular sciences · 2024
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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

2 authors at 1 institution in 1 country.

Julia Maret HermensTheoretical Biology and Bioinformatics, Biology Department, Science Faculty, Utrecht University, Utrecht, Netherlands.
Can KesmirTheoretical Biology and Bioinformatics, Biology Department, Science Faculty, Utrecht University, Utrecht, Netherlands. c.kesmir@uu.nl.ORCID 0000-0002-8756-1171
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection with SARS-CoV-2 causes wide range of disease severities from asymptomatic to life-threatening disease. Understanding the contribution of immunological traits in immunity against SARS-CoV-2 and in protection against severe COVID-19 could result in effective measures to prevent development of severe disease. While the role of cytokines and antibodies has been thoroughly studied, this is not the case for T cells. In this review, the association between T cells and COVID-19 disease severity and protection upon reexposure is discussed. While infiltration of overactivated cytotoxic T cells might be harmful in the infected tissue, fast responding T cells are important in the protection against severe COVID-19. This protection could even be viable in the long term as long-living memory T cells seem to be stabilized and mutations do not appear to have a large impact on T cell responses. Thus, after vaccination and infections, memory T cells should be able to help prevent onset of severe disease for most cases. Considering this, it would be useful to add N or M proteins in vaccinations, alongside the S protein which is currently used, as this results in a broader T cell response.

Indexed as

COVID-19Antibodies, ViralHumansSARS-CoV-2T-Lymphocytes, CytotoxicVaccinationAntibodies, ViralProtection against severe COVID-19SARS-CoV-2T cell immunityVaccination

Identifiers

PMID36752852
PMCPMC9905767
OpenAlexW4319461000

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.