Subtopic Deep Dive

IL-33 ST2 Signaling
Research Guide

What is IL-33 ST2 Signaling?

IL-33/ST2 signaling is the cytokine-receptor interaction where IL-33 binds ST2 (IL1RL1) to activate MyD88-dependent pathways in innate immune cells.

IL-33 acts as both a nuclear chromatin factor and secreted alarmin, binding transmembrane ST2L or soluble sST2 decoy receptor (Carrière et al., 2006; 936 citations). Downstream signaling involves MyD88-IRAK-TRAF6 cascade promoting type 2 cytokine production in ILC2s and T cells. Over 10 key papers from 2006-2019 detail roles in asthma, fibrosis, and cardioprotection.

Curated Papers

Key Challenges

Why It Matters

IL-33/ST2 axis drives epithelial alarmin responses in asthma, with Moffatt et al. (2010; 2004 citations) linking ST2 variants to genetic risk via GWAS in 38,000 patients. In cardioprotection, Sanada et al. (2007; 1010 citations) showed biomechanical ST2L activation reduces myocardial infarction damage in mouse models. Schiering et al. (2014; 973 citations) demonstrated IL-33 enhances Treg function to suppress intestinal inflammation, impacting IBD therapies.

Key Research Challenges

Soluble sST2 Decoy Regulation

Soluble sST2 acts as decoy receptor inhibiting IL-33 signaling, complicating therapeutic targeting (Sanada et al., 2007). Balancing sST2 levels predicts heart failure outcomes but lacks mechanistic controls. No papers resolve isoform-specific regulation.

Nuclear vs. Secreted IL-33 Functions

IL-33 localizes to nucleus for transcription regulation yet releases as alarmin post-damage (Carrière et al., 2006). Distinguishing intracellular vs. extracellular roles challenges pathway mapping. Studies show incomplete overlap in ILC activation.

Tissue-Specific Signaling Heterogeneity

IL-33/ST2 effects vary by organ, cardioprotective in heart but pro-fibrotic in lung (Gieseck et al., 2017). MyD88 pathway adapts differently across barriers. GWAS links like Moffatt et al. (2010) highlight asthma specificity without unified model.

Essential Papers

A Large-Scale, Consortium-Based Genomewide Association Study of Asthma

Miriam F. Moffatt, Marta Gut, Florence Démenais et al. · 2010 · New England Journal of Medicine · 2.0K citations

Asthma is genetically heterogeneous. A few common alleles are associated with disease risk at all ages. Implicated genes suggest a role for communication of epithelial damage to the adaptive immune...

Cytokines in Inflammatory Disease

Shinwan Kany, Jan Tilmann Vollrath, Borna Relja · 2019 · International Journal of Molecular Sciences · 1.8K citations

This review aims to briefly discuss a short list of a broad variety of inflammatory cytokines. Numerous studies have implicated that inflammatory cytokines exert important effects with regard to va...

Innate lymphoid cells promote lung-tissue homeostasis after infection with influenza virus

Laurel A. Monticelli, Gregory F. Sonnenberg, Michael C. Abt et al. · 2011 · Nature Immunology · 1.2K citations

House dust mite allergen induces asthma via Toll-like receptor 4 triggering of airway structural cells

Hamida Hammad, Marcello Chieppa, Frédéric Perros et al. · 2009 · Nature Medicine · 1.1K citations

IL-33 and ST2 comprise a critical biomechanically induced and cardioprotective signaling system

Shoji Sanada, Daihiko Hakuno, Luke Higgins et al. · 2007 · Journal of Clinical Investigation · 1.0K citations

ST2 is an IL-1 receptor family member with transmembrane (ST2L) and soluble (sST2) isoforms. sST2 is a mechanically induced cardiomyocyte protein, and serum sST2 levels predict outcome in patients ...

The alarmin IL-33 promotes regulatory T-cell function in the intestine

Chris Schiering, Thomas Krausgruber, Agnieszka Chomka et al. · 2014 · Nature · 973 citations

Type 2 immunity in tissue repair and fibrosis

Richard L. Gieseck, Mark S. Wilson, Thomas A. Wynn · 2017 · Nature reviews. Immunology · 970 citations

Reading Guide

Foundational Papers

Start with Carrière et al. (2006) for nuclear IL-33 discovery, Sanada et al. (2007) for ST2L/sST2 isoforms and biomechanics, Moffatt et al. (2010) for genetic validation in asthma.

Recent Advances

Study Gieseck et al. (2017) on type 2 fibrosis roles, Kany et al. (2019) on cytokine networks, Salimi et al. (2013) for ILC2 skin responses.

Core Methods

MyD88 knockout mice, chromatin immunoprecipitation, GWAS on ST2/IL1RL1, sST2 ELISA in patient sera, ILC2 co-culture assays.

How PapersFlow Helps You Research IL-33 ST2 Signaling

Discover & Search

Research Agent uses searchPapers('IL-33 ST2 MyD88 signaling') to retrieve 250M+ OpenAlex papers, then citationGraph on Moffatt et al. (2010) maps 2004-citing works linking ST2 to asthma genetics. findSimilarPapers expands to ILC2 contexts; exaSearch drills nuclear IL-33 queries.

Analyze & Verify

Analysis Agent applies readPaperContent on Carrière et al. (2006) to extract chromatin localization data, verifyResponse with CoVe cross-checks sST2 claims against Sanada et al. (2007). runPythonAnalysis plots cytokine network correlations from Kany et al. (2019) via pandas; GRADE scores evidence strength for cardioprotective claims.

Synthesize & Write

Synthesis Agent detects gaps in sST2 therapeutics via contradiction flagging across heart/lung papers; Writing Agent uses latexEditText for pathway diagrams, latexSyncCitations integrates Moffatt (2010), and latexCompile generates review manuscripts. exportMermaid visualizes MyD88-IRAK-TRAF6 cascades.

Use Cases

"Extract IL-33/ST2 pathway stats from top asthma papers for meta-analysis"

Research Agent → searchPapers → Analysis Agent → runPythonAnalysis (pandas meta-analysis on citation/exportCsv of Moffatt 2010 + Hammad 2009) → researcher gets NumPy-processed effect sizes table.

"Draft LaTeX figure of IL-33 nuclear release in ILC2s"

Synthesis Agent → gap detection → Writing Agent → latexGenerateFigure (IL-33/ST2 diagram) → latexSyncCitations (Carrière 2006, Monticelli 2011) → latexCompile → researcher gets compiled PDF with citations.

"Find GitHub code for IL-33 signaling simulations"

Research Agent → paperExtractUrls (Salimi 2013) → Code Discovery → paperFindGithubRepo → githubRepoInspect → researcher gets runnable Python models of type-2 cytokine networks.

Automated Workflows

Deep Research workflow scans 50+ IL-33/ST2 papers via searchPapers → citationGraph → structured report with GRADE-scored pathways from Moffatt (2010). DeepScan's 7-steps verify sST2 decoy mechanisms: readPaperContent (Sanada 2007) → CoVe → runPythonAnalysis. Theorizer generates hypotheses on nuclear IL-33 in fibrosis from Gieseck (2017).

Try Doxa for IL-33 ST2 Signaling Research

Frequently Asked Questions

What defines IL-33/ST2 signaling?

IL-33 binds ST2 receptor activating MyD88-IRAK-TRAF6 in ILC2s and barrier cells (Carrière et al., 2006). Soluble sST2 decoys ligand; transmembrane ST2L transduces signals.

What methods study IL-33/ST2 pathways?

GWAS identifies ST2 variants (Moffatt et al., 2010); mouse knockouts test cardioprotection (Sanada et al., 2007); chromatin IP maps nuclear IL-33 (Carrière et al., 2006).

What are key papers?

Moffatt et al. (2010; 2004 citations) on asthma genetics; Sanada et al. (2007; 1010 citations) on heart signaling; Carrière et al. (2006; 936 citations) on nuclear functions.