Evidence map›Paper›PMID 26583116›Full record

ReviewBioMed research international2015

Functional and Phenotypic Plasticity of CD4(+) T Cell Subsets.

Tiffany Caza, Steve Landas

Open access · hybridAbstract readReview
In one paragraph

Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 5% 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

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 152 citations in OpenAlex.

  1. CD4Sensors (Basel, Switzerland) · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Immune Checkpoint Molecules as Biomarkers ofbioRxiv : the preprint server for biology · 2024
    Article
  16. Differentiation and regulation of CD4Cellular and molecular life sciences : CMLS · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. Treg plasticity and human diseases.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2023
    Review

23 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

2 authors at 1 institution in 1 country.

Tiffany CazaDepartment of Pathology, Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA.
Steve LandasDepartment of Pathology, Upstate Medical University, 750 East Adams Street, Syracuse, NY 13210, USA.
SUNY Upstate Medical University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The remarkable plasticity of CD4(+) T cells allows individuals to respond to environmental stimuli in a context-dependent manner. A balance of CD4(+) T cell subsets is critical to mount responses against pathogen challenges to prevent inappropriate activation, to maintain tolerance, and to participate in antitumor immune responses. Specification of subsets is a process beginning in intrathymic development and continuing within the circulation. It is highly flexible to adapt to differences in nutrient availability and the tissue microenvironment. CD4(+) T cell subsets have significant cross talk, with the ability to "dedifferentiate" given appropriate environmental signals. This ability is dependent on the metabolic status of the cell, with mTOR acting as the rheostat. Autoimmune and antitumor immune responses are regulated by the balance between regulatory T cells and Th17 cells. When a homeostatic balance of subsets is not maintained, immunopathology can result. CD4(+) T cells carry complex roles within tumor microenvironments, with context-dependent immune responses influenced by oncogenic drivers and the presence of inflammation. Here, we examine the signals involved in CD4(+) T cell specification towards each subset, interconnectedness of cytokine networks, impact of mTOR signaling, and cellular metabolism in lineage specification and provide a supplement describing techniques to study these processes.

Indexed as

Immune ToleranceCD4-Positive T-LymphocytesCell DifferentiationCell PlasticityHumansTh17 CellsT-Lymphocytes, RegulatoryT-Lymphocyte SubsetsTOR Serine-Threonine KinasesTumor MicroenvironmentMTOR protein, humanTOR Serine-Threonine Kinases

Identifiers

PMID26583116
PMCPMC4637038
OpenAlexW2096030110

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.