Evidence map›Paper›PMID 25890351›Full record

ReviewArthritis research & therapy2015

T-cell metabolism in autoimmune disease.

Zhen Yang, Eric L Matteson, Jörg J Goronzy, Cornelia M Weyand

Open access · goldAbstract readReview
In one paragraph

Review in Arthritis research & therapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
7.6field-weighted citation impact, top 2% 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

91 citing papers in PubMed, 155 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Plasma Exosomal LncRNA XIST Impairs CD4Journal of inflammation research · 2026
    Article
  7. Article
  8. Review
  9. Function ofEJNMMI reports · 2025
    Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Metabolites: fuelling the immune response.Clinical and experimental immunology · 2022
    Article
  19. Article
  20. Review

31 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

4 authors at 3 institutions in 1 country.

Zhen YangDepartment of Medicine, Stanford University School of Medicine, CCSR Building Rm 2225, 269 Campus Drive West, Stanford, CA, 94305-5166, USA. zhenyang@stanford.edu.
Eric L MattesonDivision of Rheumatology, Mayo Clinic College of Medicine, Rochester, MN, 55905, USA. matteson.eric@mayo.edu.
Jörg J GoronzyDepartment of Medicine, Stanford University School of Medicine, CCSR Building Rm 2225, 269 Campus Drive West, Stanford, CA, 94305-5166, USA. jgoronzy@stanford.edu.
Cornelia M WeyandDepartment of Medicine, Stanford University School of Medicine, CCSR Building Rm 2225, 269 Campus Drive West, Stanford, CA, 94305-5166, USA. cweyand@stanford.edu.
Stanford University · USMayo Clinic · USStanford Medicine · US

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
Vascular specific ACE expression and atherosclerosisP01HL058000 · NHLBI · VANDERBILT UNIVERSITY · PI DIKALOV, SERGEY · 1998 to 2013
$20.7M
The NOTCH Signaling Pathway in Large Vessel VasculitisR01HL117913 · NHLBI · STANFORD UNIVERSITY · PI WEYAND, CORNELIA M. · 2014 to 2025
$5.0M
Oligoclonal T Cell Expansion &Rheumatoid ArthritisR01AR042527 · NIAMS · STANFORD UNIVERSITY · PI WEYAND, CORNELIA M. · 1993 to 2022
$4.8M
microRNA Regulation of T Cell SenescenceR01AI108891 · NIAID · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI GORONZY, JORG J · 2014 to 2023
$4.6M
Telomere Damage Responses and Immune AgingR01AI108906 · NIAID · STANFORD UNIVERSITY · PI WEYAND, CORNELIA M. · 2014 to 2024
$4.0M
Influence of Age on CD4 T Memory CellsR01AG045779 · NIA · PALO ALTO VETERANS INSTIT FOR RESEARCH · PI GORONZY, JORG J · 2013 to 2023
$4.0M
CD8 T CELLS IN RHEUMATOID SYNOVITISR01AI044142 · NIAID · STANFORD UNIVERSITY · PI WEYAND, CORNELIA M. · 1999 to 2010
$2.9M
CD8 T cells in Rheumatoid ArthritisR56AI044142 · NIAID · STANFORD UNIVERSITY · PI WEYAND, CORNELIA M. · 2013 to 2013
$369k
FAS ANTIGEN AND LIGAND--FUNCTIONAL CHARACTERIZATIONR01AR042547 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MOUNTZ, JOHN D · 1993 to 1997
–
NHLBI NIH HHS P01 HL058000NHLBI NIH HHS R01 HL117913NIAID NIH HHS R01 AI044142NIAID NIH HHS R01 AI108891NIAID NIH HHS R01 AI108906NIAID NIH HHS R56 AI044142NIAID NIH HHS U19 AI057266NIAMS NIH HHS R01 AR042527NIAMS NIH HHS R01 AR042547NIA NIH HHS R01 AG045779
6 · The paper itself

Abstract

Cancer cells have long been known to fuel their pathogenic growth habits by sustaining a high glycolytic flux, first described almost 90 years ago as the so-called Warburg effect. Immune cells utilize a similar strategy to generate the energy carriers and metabolic intermediates they need to produce biomass and inflammatory mediators. Resting lymphocytes generate energy through oxidative phosphorylation and breakdown of fatty acids, and upon activation rapidly switch to aerobic glycolysis and low tricarboxylic acid flux. T cells in patients with rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) have a disease-specific metabolic signature that may explain, at least in part, why they are dysfunctional. RA T cells are characterized by low adenosine triphosphate and lactate levels and increased availability of the cellular reductant NADPH. This anti-Warburg effect results from insufficient activity of the glycolytic enzyme phosphofructokinase and differentiates the metabolic status in RA T cells from those in cancer cells. Excess production of reactive oxygen species and a defect in lipid metabolism characterizes metabolic conditions in SLE T cells. Owing to increased production of the glycosphingolipids lactosylceramide, globotriaosylceramide and monosialotetrahexosylganglioside, SLE T cells change membrane raft formation and fail to phosphorylate pERK, yet hyperproliferate. Borrowing from cancer metabolomics, the metabolic modifications occurring in autoimmune disease are probably heterogeneous and context dependent. Variations of glucose, amino acid and lipid metabolism in different disease states may provide opportunities to develop biomarkers and exploit metabolic pathways as therapeutic targets.

Indexed as

Adenosine TriphosphateArthritis, RheumatoidAutoimmune DiseasesHumansLactic AcidLupus Erythematosus, SystemicNADPOxidative PhosphorylationT-LymphocytesAdenosine TriphosphateLactic AcidNADP

Identifiers

PMID25890351
PMCPMC4324046
OpenAlexW2116440159

What OpenQuestion holds

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Registered trials

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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.