Evidence map›Paper›PMID 22392053›Full record

ReviewImmunologic research2012

IL-33/ST2 axis in inflammation and immunopathology.

Marija Milovanovic, Vladislav Volarevic, Gordana Radosavljevic, Ivan Jovanovic, Nada Pejnovic, Nebojsa Arsenijevic, Miodrag L Lukic

Abstract readReview
PubMed Publisher
In one paragraph

Review in Immunologic research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
147citing papers in PubMed, 2 pooled it
10.3field-weighted citation impact, top 1% 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

147 citing papers in PubMed, 2 syntheses or guidelines pooled it, 258 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Targeting IL-33 in Precision Neuroimmunology: Cellular Mechanisms and Therapeutic Strategies for CNS Disorders.Journal of neuroimmune pharmacology : the official journal of the Society on NeuroImmune Pharmacology · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. IL-33 Participates inJournal of inflammation research · 2025
    Article
  9. Article
  10. Article
  11. TheInternational journal of molecular sciences · 2024
    Article
  12. Bone Marrow-Derived C-KitApplied biochemistry and biotechnology · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Interleukin-33: A Double-Edged Sword in Sepsis.Translational perioperative and pain medicine · 2024
    Article
  19. Article
  20. Review

87 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

7 authors at 1 institution in 1 country.

Marija MilovanovicFaculty of Medicine, Center for Molecular Medicine and Stem Cell Research, University of Kragujevac, Svetozara Markovica 69, 34000 Kragujevac, Serbia.
Vladislav Volarevic
Gordana Radosavljevic
Ivan Jovanovic
Nada Pejnovic
Nebojsa Arsenijevic
Miodrag L Lukic
University of Kragujevac · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-33 (IL-33), a member of the IL-1 family of cytokines, binds to its plasma membrane receptor, heterodimeric complex consisted of membrane-bound ST2L and IL-1R accessory protein, inducing NFkB and MAPK activation. IL-33 exists as a nuclear precursor and may act as an alarmin, when it is released after cell damage or as negative regulator of NFκB gene transcription, when acts in an intracrine manner. ST2L is expressed on several immune cells: Th2 lymphocytes, NK, NKT and mast cells and on cells of myeloid lineage: monocytes, dendritic cells and granulocytes. IL-33/ST2 axis can promote both Th1 and Th2 immune responses depending on the type of activated cell and microenvironment and cytokine network in damaged tissue. We previously described and discuss here the important role of IL-33/ST2 axis in experimental models of type 1 diabetes, experimental autoimmune encephalomyelitis, fulminant hepatitis and breast cancer. We found that ST2 deletion enhance the development of T cell-mediated autoimmune disorders, EAE and diabetes mellitus type I. Disease development was accompanied by dominantly Th1/Th17 immune response but also higher IL-33 production, which suggest that IL-33 in receptor independent manner could promote the development of inflammatory autoreactive T cells. IL-33/ST2 axis has protective role in Con A hepatitis. ST2-deficient mice had more severe hepatitis with higher influx of inflammatory cells in liver and dominant Th1/Th17 systemic response. Pretreatment of mice with IL-33 prevented Con A-induced liver damage through prevention of apoptosis of hepatocytes and Th2 amplification. Deletion of IL-33/ST2 axis enhances cytotoxicity of NK cells, production of IFN-γ in these cells and systemic production of IFN-γ, IL-17 and TNF-α, which leads to attenuated tumor growth. IL-33 treatment of tumor-bearing mice suppresses activity of NK cells, dendritic cell maturation and enhances alternative activation of macrophages. In conclusion, we observed that IL-33 has attenuated anti-inflammatory effects in T cell-mediated responses and that both IL-33 and ST2 could be further explored as potential therapeutic targets in treatment of immune-mediated diseases.

Indexed as

AutoimmunityAnimalsApoptosisBreast NeoplasmsDiabetes Mellitus, Type 1Encephalomyelitis, Autoimmune, ExperimentalHepatitisHumansInflammationInterleukin-1 Receptor-Like 1 ProteinInterleukin-33InterleukinsLymphocyte ActivationMiceMice, Inbred BALB CMitogen-Activated Protein KinasesIL1RL1 protein, humanIL33 protein, humanInterleukin-1 Receptor-Like 1 ProteinInterleukin-33InterleukinsMitogen-Activated Protein KinasesNF-kappa BReceptors, Cell Surface

Identifiers

PMID22392053
OpenAlexW2063557080

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.