Evidence map›Paper›PMID 39857588›Full record

ArticleBiomedicines2024

T-Cell Subpopulations and Differentiation Bias in Diabetic and Non-Diabetic Patients with Chronic Kidney Disease.

Ana Cecilia Granda Alacote, Gabriela Goyoneche Linares, María Gracia Castañeda Torrico, Daysi Zulema Diaz-Obregón, Michael Bryant Castro Núñez, Alexis Germán Murillo Carrasco, Cesar Liendo Liendo, Katherine Susan Rufasto Goche, Víctor Arrunátegui Correa, Joel de León Delgado

Abstract read
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Article in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Ana Cecilia Granda AlacoteFaculty of Natural Sciences and Mathematics, Universidad Nacional Federico Villarreal, Lima 15001, Peru.ORCID 0000-0002-8719-4324
Gabriela Goyoneche LinaresFaculty of Natural Sciences and Mathematics, Universidad Nacional Federico Villarreal, Lima 15001, Peru.ORCID 0000-0002-8816-2412
María Gracia Castañeda TorricoONG Innovation and Science for the Care and Support of Society-INNOVACARE, Lima 15036, Peru.
Daysi Zulema Diaz-ObregónHealth Technology Assessment and Research Institute-EsSalud, Lima 15072, Peru.
Michael Bryant Castro NúñezFaculty of Medicine, Universidad Nacional Federico Villarreal, Lima 15001, Peru.
Alexis Germán Murillo CarrascoImmunology and Cancer Research Group-IMMUCA, Lima 15001, Peru.ORCID 0000-0002-7372-2608
Cesar Liendo LiendoNephrology Center-CENESA, Lima 15001, Peru.
Katherine Susan Rufasto GochePostgraduate School, Universidad Nacional Federico Villarreal, Lima 15001, Peru.
Víctor Arrunátegui CorreaFaculty of Human Medicine, University of San Martín de Porres, Lima 15011, Peru.
Joel de León DelgadoCenter of Virology Research, Faculty of Human Medicine, University of San Martín de Porres, Lima 15011, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic kidney disease (CKD) patients often experience dysregulated inflammation, particularly when compounded by comorbidities such as type 2 diabetes (T2D).

objectiveThe aim of this study was to determine whether T2D influences the profile of memory T lymphocytes, regulatory T cells (Tregs), and the gene expression of transcription factors such as

methodsTwenty-two CKD patients undergoing hemodialysis were selected for the study. Flow cytometry was used to identify naïve T cells, Tregs (CD4+CD25+CD127-), central memory T lymphocytes (CCR7+CD45RA-), effector memory T lymphocytes (CCR7-CD45RA-), and TEMRA cells (CCR7-CD45RA+). The expression of helper T cell differentiation regulatory genes was assessed using real-time RT-PCR.

resultsBoth helper and cytotoxic effector memory T cell populations were found to be higher than naïve lymphocytes in CKD patients, regardless of T2D status. However, Tregs were significantly more frequent in diabetic CKD patients (5.1 ± 2.6%) compared to non-diabetic patients (2.8 ± 3.1%). In terms of transcription factor expression, a significant correlation was observed between T-bet and

conclusionsWhile T2D does not notably alter the distribution of memory T cells in CKD patients, it significantly impacts the frequency of Tregs and their correlation with pro-inflammatory transcription factors like

Indexed as

chronic kidney diseaseT cellstranscription factorstype 2 diabetes

Identifiers

PMID39857588
PMCPMC11759818

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