Evidence map›Paper›PMID 25496335›Full record

ReviewImmunotherapy2014

Beyond regulatory T cells: the potential role for IL-2 to deplete T-follicular helper cells and treat autoimmune diseases.

André Ballesteros-Tato

Abstract readReview
In one paragraph

Review in Immunotherapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Taming immune responses to AAV gene therapy by programmed in vivo Treg expansion.Molecular therapy : the journal of the American Society of Gene Therapy · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Self-Antigens Targeted by Regulatory T Cells in Type 1 Diabetes.International journal of molecular sciences · 2022
    Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. The effect of interleukin (IL)-21 and CD4Clinical and experimental immunology · 2017
    Article
  12. Article
  13. Article
  14. Review
  15. 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

1 author.

André Ballesteros-Tato

Funding

Virus-induced Cell Fate Decisions in Anti-Viral ImmunityU19AI109962 · NIAID · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI LUND, FRANCES E. · 2014 to 2018
$11.6M
ROS Modulation of Innate and Adaptive Immunity in RAP30AR048311 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI MOUNTZ, JOHN D · 2001 to 2017
$9.5M
NIAID NIH HHS AI109962NIAID NIH HHS U19 AI109962NIAMS NIH HHS AR 048311NIAMS NIH HHS P30 AR048311
6 · The paper itself

Abstract

Low-dose IL-2 administration suppresses unwanted immune responses in mice and humans, thus evidencing the potential of IL-2 to treat autoimmune disorders. Increased Tregs activity is one of the potential mechanisms by which low-dose IL-2 immunotherapy induces immunosuppression. In addition, recent data indicate that IL-2 may contribute to prevent unwanted self-reactive responses by preventing the developing of T-follicular helper cells, a CD4(+) T-cell subset that expands in autoimmune disease patients and promotes long-term effector B-cell responses. Here we discuss the mechanisms underlying the clinical benefits of low-dose IL-2 administration, focusing on the role of this cytokine in promoting Treg-mediated suppression and preventing self-reactive T-follicular helper cell responses.

Indexed as

AnimalsAutoimmune DiseasesHumansImmunity, HumoralImmunologic MemoryImmunosuppression TherapyImmunotherapyInterleukin-2Lymphocyte DepletionMiceT-Lymphocytes, Helper-InducerT-Lymphocytes, RegulatoryInterleukin-2autoimmune diseasegerminal center B cellsIL-2immunotherapyT follicular helper cellsTregs

Identifiers

PMID25496335
PMCPMC4289615

What OpenQuestion holds

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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.