Evidence map›Paper›PMID 30770544›Full record

ReviewClinical and experimental immunology2019

Immune cell metabolism in autoimmunity.

X Teng, W Li, C Cornaby, L Morel

Abstract readReview
In one paragraph

Review in Clinical and experimental immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. IL-21, Inflammatory Cytokines and Hyperpolarized CD8Antioxidants (Basel, Switzerland) · 2023
    Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Lipid Metabolism in Tumor-Associated Natural Killer Cells.Advances in experimental medicine and biology · 2021
    Review
  17. Regulation of B-cell function by NF-kappaB c-Rel in health and disease.Cellular and molecular life sciences : CMLS · 2020
    Review
  18. Article
  19. Review
  20. Article
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.

X TengDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
W LiDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
C CornabyDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA.
L MorelDepartment of Pathology, Immunology, and Laboratory Medicine, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-6622-1290

Funding

Characterization of SLE-susceptibility loci on mouse chromosome 1R01AI045050 · NIAID · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Laurence Morel · 2000 to 2026
$11.5M
Targeting follicular helper CD4 T cells in SLER01AI128901 · NIAID · UNIVERSITY OF FLORIDA · PI MOREL, LAURENCE · 2017 to 2021
$1.8M
NIAID NIH HHS R01 AI045050NIAID NIH HHS R01 AI128901
6 · The paper itself

Abstract

Immune metabolism is a rapidly moving field. While most of the research has been conducted to define the metabolism of healthy immune cells in the mouse, it is recognized that the overactive immune system that drives autoimmune diseases presents metabolic abnormalities that provide therapeutic opportunities, as well as a means to understand the fundamental mechanisms of autoimmune activation more clearly. Here, we review recent publications that have reported how the major metabolic pathways are affected in autoimmune diseases, with a focus on rheumatic diseases.

Indexed as

AnimalsArthritis, RheumatoidAutoimmunityB-LymphocytesDendritic CellsDisease Models, AnimalHumansLupus Erythematosus, SystemicLymphocyte ActivationMiceT-LymphocytesautoimmunityB cellsystemic lupus erythematosusT cells

Identifiers

PMID30770544
PMCPMC6642870

What OpenQuestion holds

Textmetadata
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.