IL-5 signaling in asthmatic derived fibroblasts exacerbates airway remodeling through ECM dysregulation and apoptosis resistance
Bibliographic record
Abstract
BACKGROUND: Airway remodelling, a critical feature of severe asthma, involves fibroblast-driven extracellular matrix (ECM) dysregulation. While IL-5 is pivotal in eosinophilic inflammation, its direct role in fibroblast-mediated fibrosis remains undefined. METHODS: Primary lung fibroblasts from asthmatic and healthy donors were stimulated with 0.5 ng/ml of IL-5 for several time points. ECM components, Matrix metalloproteinases (MMPs), Tissue inhibitor of metalloproteinases (TIMPs), and cytokines were analysed via quantitative real time-PCR (qRT-PCR), Western blot, ELISA, and flow cytometry. RNA sequencing and absolute gene set enrichment analysis (absGSEA) identified signaling pathways. Apoptosis was assessed using Annexin V/PI staining. RESULTS: IL-5 shown to markedly increase the expression of ECM proteins, including collagen I and fibronectin, in asthmatic fibroblasts. It also upregulated MMP-2 and MMP-3 expression, alongside increased levels of TIMP-1 and TIMP-2. Moreover, IL-5 promoted the secretion of IL-6 and TGF-β. RNA-seq analysis identified 472 differentially expressed genes in asthmatic fibroblasts, highlighting activation of the MAPK pathway and suppression of apoptosis through NR4A1 upregulation. IL-5 further reduced fibroblast apoptosis and enhanced IL-5Rα expression, indicating potential autocrine signalling. CONCLUSION: IL-5 directly activates lung fibroblasts to drive airway remodelling in severe asthma through ECM deposition, MMP/TIMP imbalance, and pro-fibrotic cytokine secretion, positioning it as a dual mediator of inflammation and fibrosis with novel therapeutic potential.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".