Evidence map›Paper›PMID 36301303›Full record

ReviewThe Journal of experimental medicine2022

Metabolic features of innate lymphoid cells.

Huiyang Yu, Nicolas Jacquelot, Gabrielle T Belz

Abstract readReview
In one paragraph

Review in The Journal of experimental medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Cellular Metabolic Disorders in a Cohort of Patients with Sjogren's Disease.International journal of molecular sciences · 2025
    Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. (Multi-) omics studies of ILC2s in inflammation and metabolic diseases.Frontiers in cell and developmental biology · 2024
    Review
  17. Nutrient transporter pattern in CD56Frontiers in immunology · 2024
    Article
  18. Review
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

3 authors.

Huiyang YuThe University of Queensland, Diamantina Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-3670-7898
Nicolas JacquelotPrincess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.ORCID 0000-0003-0282-1892
Gabrielle T BelzThe University of Queensland, Diamantina Institute, Brisbane, Queensland, Australia.ORCID 0000-0002-9660-9587

Funding

Australian GovernmentCancer Australia 1163990Cancer Council NSW RG 21-05Cure CancerNational Health and Medical Research Council 1165443University of Queensland
6 · The paper itself

Abstract

Innate and adaptive immune cells are found in distinct tissue niches where they orchestrate immune responses. This requires intrinsic and temporal metabolic adaptability to coordinately activate the immune response cascade. Dysregulation of this program is a key feature of immunosuppression. Direct or indirect metabolic immune cell reprogramming may offer new approaches to modulate immune cells behavior for therapy to overcome dysregulation. In this review, we explored how metabolism regulates lymphocytes beyond the classical T cell subsets. We focus on the innate lymphoid cell (ILC) family, highlighting the distinct metabolic characteristics of these cells, the impact of environmental factors, and the receptors that could alter immune cell functions through manipulation of metabolic pathways to potentially prevent or treat various diseases.

Indexed as

Immunity, InnateLymphocytesT-Lymphocyte Subsets

Identifiers

PMID36301303
PMCPMC9617479

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.