Exploration of novel therapeutic targets for keloids based on clinical and molecular data: the role of the IL-4/IL-13 signaling pathway
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Keloids are problematic fibrotic lesions with excessive collagen and chronic inflammation; their underlying causes are not fully understood. Type 2 helper T (Th2) cytokines IL-4 and IL-13 are implicated in various fibrotic disorders, including but not limited to pulmonary fibrosis and systemic sclerosis. This study aimed to investigate the IL-4/IL-13 signaling pathway's contribution to keloid pathophysiology and evaluate its potential as a novel therapeutic target. METHODS: We retrospectively analyzed keloid patients, collecting demographic data and grading scar severity with the Vancouver Scar Scale (VSS). Keloid tissue specimens underwent immunofluorescence, Western blotting, and real-time PCR to quantify IL-4, IL-13, Type I Collagen alpha 1 (Collagen I A1), and phosphorylated STAT6 (p-STAT6) expression. RESULTS: Patients had an average total VSS score of 11.0 ± 2.9, indicating active fibrotic inflammation. Molecular assays showed significant upregulation of IL-4 and IL-13, alongside increased p-STAT6 and Collagen I A1 in keloid tissues. Notably, IL-4, IL-13, and p-STAT6 expression positively correlated with VSS thickness and pliability scores. CONCLUSIONS: Our findings demonstrate that the IL-4/IL-13 signaling axis is markedly activated in keloid tissues, promoting collagen synthesis via STAT6 phosphorylation. Therefore, targeting the IL-4/IL-13/STAT6 pathway may represent a promising therapeutic strategy for managing keloids.
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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 | 0.017 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".