Evidence map›Paper›PMID 34731632›Full record

ArticleCell reports2021

Regulatory T cell differentiation is controlled by αKG-induced alterations in mitochondrial metabolism and lipid homeostasis.

Maria I Matias, Carmen S Yong, Amir Foroushani, Chloe Goldsmith, Cédric Mongellaz, Erdinc Sezgin, Kandice R Levental, Ali Talebi, Julie Perrault, Anais Rivière and 17 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 79 papers.

0numbers the graph read from it
0cells of the map it votes in
79citing papers in PubMed
5.5field-weighted citation impact, top 3% of its field
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

79 citing papers in PubMed, 106 citations in OpenAlex.

  1. Glutamine metabolism in health and disease.Signal transduction and targeted therapy · 2026
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  16. Cancer cachexia: molecular basis and therapeutic advances.Signal transduction and targeted therapy · 2026
    Review
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19 more citing papers are in PubMed but not listed here.

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

27 authors at 8 institutions in 6 countries.

Maria I MatiasInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Carmen S YongInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Cancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Australia.
Amir ForoushaniLaboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Chloe GoldsmithCancer Research Center of Lyon, University Lyon 1, Inserm/ CNRS, Labex DEVweCAN, Lyon France.
Cédric MongellazInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Erdinc SezginScience for Life Laboratory, Department of Women's and Children's Health, Karolinska Institute, Solna, Sweden.
Kandice R LeventalDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.
Ali TalebiLaboratory of Lipid Metabolism and Cancer, Leuven Cancer Institute, Leuven, Belgium.
Julie PerraultInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Anais RivièreInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Jonas DehairsLaboratory of Lipid Metabolism and Cancer, Leuven Cancer Institute, Leuven, Belgium.
Océane DelosMetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, France; I2MC, Université de Toulouse, Inserm, Toulouse, France.
Justine Bertand-MichelMetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, France; I2MC, Université de Toulouse, Inserm, Toulouse, France.
Jean-Charles PortaisMetaboHUB-MetaToul, National Infrastructure of Metabolomics and Fluxomics, Toulouse, France.
Madeline WongLaboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Julien C MarieCancer Research Center of Lyon, University Lyon 1, Inserm/ CNRS, Labex DEVweCAN, Lyon France.
Ameeta KelekarDepartment of Laboratory Medicine and Pathology, Masonic Cancer Center, University of Minnesota, Minneapolis, MN, USA.
Sandrina KinetInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Valérie S ZimmermannInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France.
Ilya LeventalDepartment of Molecular Physiology and Biological Physics, University of Virginia, Charlottesville, VA, USA.
Laurent Yvan-CharvetUniversité Côte d'Azur, INSERM U1065, Nice, France.
Johannes V SwinnenLaboratory of Lipid Metabolism and Cancer, Leuven Cancer Institute, Leuven, Belgium.
Stefan A MuljoLaboratory of Immune System Biology, NIAID, NIH, Bethesda, MD, USA.
Hector Hernandez-VargasCancer Research Center of Lyon, University Lyon 1, Inserm/ CNRS, Labex DEVweCAN, Lyon France.
Saverio TarditoCancer Research UK, Beatson Institute, Glasgow, UK; Institute of Cancer Sciences, University of Glasgow, Glasgow, UK.
Naomi TaylorInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France; Pediatric Oncology Branch, NCI, CCR, NIH, Bethesda, MD, USA. Electronic address: taylorn4@mail.nih.gov.
Valérie DardalhonInstitut de Génétique Moléculaire de Montpellier, Univ Montpellier, CNRS, Montpellier, France. Electronic address: vdardalhon@igmm.cnrs.fr.
Centre National de la Recherche Scientifique · FRInserm · FRUniversité Claude Bernard Lyon 1 · FRVIB-KU Leuven Center for Cancer Biology · BEUniversity of Virginia · USBeatson West of Scotland Cancer Centre · GBScience for Life Laboratory · SEUniversity of Minnesota · US

Funding

Metabolic regulation of T cell effector function and anti-tumor immunotherapyZIABC011923 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI TAYLOR, NAOMI · 2019 to 2025
$9.5M
Cancer Research UK 23982Cancer Research UK A23982Cancer Research UK C596/A17196Intramural NIH HHS ZIA BC011923
6 · The paper itself

Abstract

Suppressive regulatory T cell (Treg) differentiation is controlled by diverse immunometabolic signaling pathways and intracellular metabolites. Here we show that cell-permeable α-ketoglutarate (αKG) alters the DNA methylation profile of naive CD4 T cells activated under Treg polarizing conditions, markedly attenuating FoxP3+ Treg differentiation and increasing inflammatory cytokines. Adoptive transfer of these T cells into tumor-bearing mice results in enhanced tumor infiltration, decreased FoxP3 expression, and delayed tumor growth. Mechanistically, αKG leads to an energetic state that is reprogrammed toward a mitochondrial metabolism, with increased oxidative phosphorylation and expression of mitochondrial complex enzymes. Furthermore, carbons from ectopic αKG are directly utilized in the generation of fatty acids, associated with lipidome remodeling and increased triacylglyceride stores. Notably, inhibition of either mitochondrial complex II or DGAT2-mediated triacylglyceride synthesis restores Treg differentiation and decreases the αKG-induced inflammatory phenotype. Thus, we identify a crosstalk between αKG, mitochondrial metabolism and triacylglyceride synthesis that controls Treg fate.

Indexed as

AnimalsCell DifferentiationCells, CulturedCytokinesDiacylglycerol O-AcyltransferaseEnergy MetabolismFibrosarcomaForkhead Transcription FactorsHomeostasisHumansImmunotherapy, AdoptiveKetoglutaric AcidsLipid MetabolismMiceMice, Inbred C57BLMice, KnockoutCytokinesDGAT2 protein, humanDGAT2 protein, mouseDiacylglycerol O-AcyltransferaseForkhead Transcription FactorsFOXP3 protein, humanFoxp3 protein, mouseKetoglutaric AcidsReceptors, Chimeric AntigenCAR T cellsDNA methylationlipidomemitochondrial metabolismTCA cycleT cell differentiationTh1Tregtriacylglyceride synthesisα-ketoglutarate

Identifiers

PMID34731632
PMCPMC10167917
OpenAlexW3209847663

What OpenQuestion holds

Textmetadata
LicenceTDM
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.