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European Journal of Immunology
Article . 2023 . Peer-reviewed
License: CC BY
Data sources: Crossref
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Transcriptional programing of T cell metabolism by STAT family transcription factors

Authors: Alejandro V. Villarino;

Transcriptional programing of T cell metabolism by STAT family transcription factors

Abstract

Abstract T cells adapt their metabolism to meet the energetic and biosynthetic demands imposed by changes in location, behavior, and/or differentiation state. Many of these adaptations are controlled by cytokines. Traditionally, research on the metabolic properties of cytokines has focused on downstream signaling via the PI3K‐AKT, mTOR, or ERK‐MAPK pathways but recent studies indicate that JAK‐STAT is also crucial. This review synthesizes current thinking on how JAK‐STAT signaling influences T cell metabolism, focusing on adaptations necessary for the naïve, effector, regulatory, memory, and resident‐memory states. The overarching theme is that JAK‐STAT has both direct and indirect effects. Direct regulation involves STATs localizing to and instructing expression of metabolism‐related genes. Indirect regulation involves STATs instructing genes encoding upstream or regulatory factors, including cytokine receptors and other transcription factors, as well as non‐canonical JAK‐STAT activities. Cytokines impact a vast range of metabolic processes. Here, we focus on those that are most prominent in T cells; lipid, amino acid, and nucleotide synthesis for anabolic metabolism, glycolysis, glutaminolysis, oxidative phosphorylation, and fatty acid oxidation for catabolic metabolism. Ultimately, we advocate the idea that JAK‐STAT is a key node in the complex network of signaling inputs and outputs which ensure that T cell metabolism meets lifestyle demands.

Related Organizations
Keywords

Phosphatidylinositol 3-Kinases, STAT Transcription Factors, T-Lymphocytes, Cytokines, Signal Transduction, Janus Kinases

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    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).
    13
    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.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
13
Top 10%
Average
Top 10%
hybrid