Evidence map›Paper›PMID 41580891›Full record

ReviewEuropean journal of immunology2026

Tissue Immunometabolism in Autoimmunity.

Matteo Villa

Abstract readReview
In one paragraph

Review in European journal of immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Resetting immunometabolic set points in autoimmune disease.Journal of translational autoimmunity · 2026
    Review
  2. Tissue Immunometabolism in Autoimmunity.European journal of immunology · 2026
    Review
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

1 author.

Matteo VillaDivision of Rheumatology and Immunology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.ORCID 0000-0003-2684-0596

Funding

Medizinische Universität Graz
6 · The paper itself

Abstract

Autoimmunity causes damage to organs targeted by the effector function of the immune response. The dynamics of autoimmunity in human peripheral tissues are not well understood due to the limited access to tissue samples. As cellular metabolism controls immune function, studying the crosstalk between the environment and cells within a tissue may provide information on how the metabolism of immune cells drives autoimmunity in peripheral tissues. In this review, I discuss some of the work that explored the complexity of the tissue environment, its sensing by cells in the tissue, and the consequences this has on cell and tissue functions, highlighting implications for autoimmune diseases. I also suggest a framework to study immunometabolism in tissues, contextualizing the metabolic choices of immune cells within the diversity of the extracellular environment they encounter.

Indexed as

Autoimmune DiseasesAutoimmunityAnimalsHumansimmune functionimmunometabolismmetabolic sensorstissue environment

Identifiers

PMID41580891
PMCPMC12831945

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.