Evidence map›Paper›PMID 39227859›Full record

ArticleHuman genomics2024

The T-cell repertoire of Spanish patients with COVID-19 as a strategy to link T-cell characteristics to the severity of the disease.

Fernando Marín-Benesiu, Lucia Chica-Redecillas, Verónica Arenas-Rodríguez, Esperanza de Santiago, Silvia Martínez-Diz, Ginesa López-Torres, Ana Isabel Cortés-Valverde, Catalina Romero-Cachinero, Carmen Entrala-Bernal, Francisco Javier Fernandez-Rosado and 2 more

Abstract read
In one paragraph

Article in Human genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

12 authors.

Fernando Marín-Benesiu *Department of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avd. de la Investigación nº 11, Tower C. 11th floor, Granada, 18071, Spain.
Lucia Chica-Redecillas *Department of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avd. de la Investigación nº 11, Tower C. 11th floor, Granada, 18071, Spain.
Verónica Arenas-RodríguezCentre for Genomics and Oncological Research: Pfizer, Andalusian Regional Government, GENYO, University of Granada, Parque Tecnológico de la Salud, Granada, Spain.
Esperanza de SantiagoCentre for Genomics and Oncological Research: Pfizer, Andalusian Regional Government, GENYO, University of Granada, Parque Tecnológico de la Salud, Granada, Spain.
Silvia Martínez-DizPreventive Medicine and Public Health Service, Hospital Universitario Clínico San Cecilio, Granada, Spain.
Ginesa López-Torres4Casería de Montijo Health Center, Granada Health District, Granada, Spain.
Ana Isabel Cortés-Valverde4Casería de Montijo Health Center, Granada Health District, Granada, Spain.
Catalina Romero-CachineroNursery Department, DUE 15 Sanitary Center Almanjayar, Granada, Spain.
Carmen Entrala-BernalLORGEN G.P, Ciencias de la Salud - Business Innovation Centre (BIC), Granada, PT, Spain.
Francisco Javier Fernandez-RosadoLORGEN G.P, Ciencias de la Salud - Business Innovation Centre (BIC), Granada, PT, Spain.
Luis Javier Martínez-González *Department of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avd. de la Investigación nº 11, Tower C. 11th floor, Granada, 18071, Spain. luisjavier.martinez@genyo.es.
Maria Jesus Alvarez-Cubero *Department of Biochemistry, Molecular Biology III and Inmunology, Faculty of Medicine, University of Granada, Parque Tecnológico de la Salud, Avd. de la Investigación nº 11, Tower C. 11th floor, Granada, 18071, Spain.

Funding

Conserjería de Salud y Familias de la Junta de Andalucía PECOVID-0006-2020Secretaría General de Universidades Investigación y Tecnología de la Junta de Andalucía CV20-36740
6 · The paper itself

Abstract

backgroundThe architecture and dynamics of T cell populations are critical in orchestrating the immune response to SARS-CoV-2. In our study, we used T Cell Receptor sequencing (TCRseq) to investigate TCR repertoires in 173 post-infection COVID-19 patients.

methodsThe cohort included 98 mild and 75 severe cases with a median age of 53. We amplified and sequenced the TCR β chain Complementary Determining Region 3 (CDR3b) and performed bioinformatic analyses to assess repertoire diversity, clonality, and V/J allelic usage between age, sex and severity groups. CDR3b amino acid sequence inference was performed by clustering structural motifs and filtering validated reactive CDR3b to COVID-19.

resultsOur results revealed a pronounced decrease in diversity and an increase in clonal expansion in the TCR repertoires of severe COVID-19 patients younger than 55 years old. These results reflect the observed trends in patients older than 55 years old (both mild and severe). In addition, we identified a significant reduction in the usage of key V alleles (TRBV14, TRBV19, TRBV15 and TRBV6-4) associated with disease severity. Notably, severe patients under 55 years old had allelic patterns that resemble those over 55 years old, accompanied by a skewed frequency of COVID-19-related motifs.

conclusionsPresent results suggest that severe patients younger than 55 may have a compromised TCR repertoire contributing to a worse disease outcome.

Indexed as

Complementarity Determining RegionsCOVID-19SARS-CoV-2Severity of Illness IndexAdultAgedAllelesFemaleHumansMaleMiddle AgedReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaSpainT-LymphocytesComplementarity Determining RegionsReceptors, Antigen, T-CellReceptors, Antigen, T-Cell, alpha-betaAdaptative immunologyCOVID-19ImmunoinformaticsSARS-Cov2T cellsTCR repertoire

Identifiers

PMID39227859
PMCPMC11373388

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LicenceCC BY-NC-ND
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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.