Evidence map›Paper›PMID 39289824›Full record

ReviewEuropean journal of immunology2024

γδ T cells in immune-mediated kidney disease.

Alex Waterhölter, Christian F Krebs, Ulf Panzer

Abstract readReview
In one paragraph

Review in European journal of immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Unconventional T Cells in IgA Nephropathy.Kidney international reports · 2025
    Article
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

3 authors.

Alex WaterhölterIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Christian F KrebsIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0003-2739-5578
Ulf PanzerIII. Department of Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.

Funding

German Research Foundation (DFG) KR 3483/3-1German Research Foundation (DFG) SFB1192
6 · The paper itself

Abstract

Immune-mediated kidney diseases, including glomerulonephritis (GN), represent a diverse spectrum of disorders characterized by inflammation within the glomerulus and other renal compartments. Despite recent advances, the immunopathogenesis of these diseases remains incompletely understood. Current therapeutic approaches based on nonspecific immunosuppression often result in suboptimal outcomes and significant side effects, highlighting the need for tailored interventions. The complexity of the immune system extends beyond classical T-cell immunity, with the emergence of unconventional T cells - γδ T cells, NKT cells, and MAIT cells - that exhibit a semi-invariant nature and unique functions that bridge innate and adaptive immunity. γδ T cells exhibit unique homing and activation mechanisms and respond to different ligands, implying a multifaceted role in immune regulation. The understanding of γδ T-cell involvement in kidney disease lags behind conventional T-cell research. However, advances in immune cell analysis technologies offer promising avenues for elucidating their precise functions. This review synthesizes the current knowledge on γδ T cells in renal diseases, explores potential therapeutic strategies, and presents a roadmap for future research directions.

Indexed as

Kidney DiseasesReceptors, Antigen, T-Cell, gamma-deltaAdaptive ImmunityAnimalsGlomerulonephritisHumansImmunity, InnateIntraepithelial LymphocytesT-Lymphocyte SubsetsReceptors, Antigen, T-Cell, gamma-deltaAutoimmunityInflammationKidneyγδ T cells

Identifiers

PMID39289824
PMCPMC11628881

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.