Evidence map›Paper›PMID 38053998›Full record

ArticleFrontiers in immunology2023

Human adipose tissue as a major reservoir of cytomegalovirus-reactive T cells.

Anaïs Redruello-Romero, Maria S Benitez-Cantos, David Lopez-Perez, Jesús García-Rubio, Francisco Tamayo, Daniel Pérez-Bartivas, Sara Moreno-SanJuan, Isabel Ruiz-Palmero, Jose D Puentes-Pardo, Jose R Vilchez and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Review
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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

15 authors at 4 institutions in 1 country.

Anaïs Redruello-Romero *Research Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Maria S Benitez-Cantos *Research Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
David Lopez-PerezResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Jesús García-RubioSurgery Unit, San Cecilio University Hospital, Granada, Spain.
Francisco TamayoSurgery Unit, San Cecilio University Hospital, Granada, Spain.
Daniel Pérez-BartivasResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Sara Moreno-SanJuanResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Isabel Ruiz-PalmeroResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Jose D Puentes-PardoResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Jose R VilchezResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Miguel Á López-NevotResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Federico GarcíaResearch Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Carlos CanoDepartment of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain.
Josefa León *Research Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Ángel Carazo *Research Unit, Biosanitary Research Institute of Granada (ibs.GRANADA), Granada, Spain.
Instituto de Investigación Biosanitaria de Granada · ESHospital Universitario Virgen de las Nieves · ESUniversidad de Granada · ESInstituto de Salud Carlos III · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Cytomegalovirus (CMV) is a common herpesvirus with a high prevalence worldwide. After the acute infection phase, CMV can remain latent in several tissues. CD8 T cells in the lungs and salivary glands mainly control its reactivation control. White adipose tissue (WAT) contains a significant population of memory T cells reactive to viral antigens, but CMV specificity has mainly been studied in mouse WAT. Therefore, we obtained blood, omental WAT (oWAT), subcutaneous WAT (sWAT), and liver samples from 11 obese donors to characterize the human WAT adaptive immune landscape from a phenotypic and immune receptor specificity perspective. Methods: We performed high-throughput sequencing of the T cell receptor (TCR) locus to analyze tissue and blood TCR repertoires of the 11 donors. The presence of TCRs specific to CMV epitopes was tested through ELISpot assays. Moreover, phenotypic characterization of T cells was carried out through flow cytometry. Results: High-throughput sequencing analyses revealed that tissue TCR repertoires in oWAT, sWAT, and liver samples were less diverse and dominated by hyperexpanded clones when compared to blood samples. Additionally, we predicted the presence of TCRs specific to viral epitopes, particularly from CMV, which was confirmed by ELISpot assays. Remarkably, we found that oWAT has a higher proportion of CMV-reactive T cells than blood or sWAT. Finally, flow cytometry analyses indicated that most WAT-infiltrated lymphocytes were tissue-resident effector memory CD8 T cells. Discussion: Overall, these findings postulate human oWAT as a major reservoir of CMV-specific T cells, presumably for latent viral reactivation control. This study enhances our understanding of the adaptive immune response in human WAT and highlights its potential role in antiviral defense.

Indexed as

CytomegalovirusCytomegalovirus InfectionsAdipose TissueAnimalsEpitopesHumansMiceReceptors, Antigen, T-CellEpitopesReceptors, Antigen, T-Celladipose tissueantigen predictioncytomegalovirusT cell receptortissue-resident memory T cells

Identifiers

PMID38053998
PMCPMC10694288
OpenAlexW4388830100

What OpenQuestion holds

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LicenceCC BY
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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.