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European Journal of Immunology
Article . 2026 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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PubMed Central
Conference object . 2026
License: CC BY NC ND
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Tissue Immunometabolism in Autoimmunity

Authors: Matteo Villa;

Tissue Immunometabolism in Autoimmunity

Abstract

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.

Related Organizations
Keywords

Highlights‐reviews, Humans, Animals, Autoimmunity, Autoimmune Diseases

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
hybrid