Regulation of epithelial cell proliferation by bronchial fibroblasts obtained from mild asthmatic subjects
Bibliographic record
Abstract
BACKGROUND: Bronchial epithelium is considered a key player in coordinating airway wall remodelling. The function of epithelial cells can be modulated by the underlying fibroblasts through autocrine and paracrine mechanisms. OBJECTIVE: To investigate the effect of phenotypic changes in bronchial fibroblasts from asthmatic subjects on epithelial cell proliferation. METHODS: Epithelial cells and fibroblasts derived from bronchial biopsies of asthmatic and healthy controls were cultured in an engineered model. Proliferation was evaluated by 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium-bromid (MTT). Epidermal growth factor receptor (EGFR), cyclin-dependent kinase inhibitors p21 and p27 were measured by western blots. Total and active forms of transforming growth factor (TGF)-β₁ were measured using ELISA and bioassay. TGF-β was inhibited using a recombinant TGF-β soluble receptor II protein. RESULTS: Proliferation of epithelial cells from asthmatics (AE) is increased when cells were cultured with fibroblasts from normal controls (NF). Fibroblasts from asthmatics (AF) significantly decreased the proliferation of epithelial cells from healthy subjects (NE). Activation of p21, p27, EGFR and TGF-β₁ reflects the proliferation data by decreasing in AE cultured with NF and increasing in NE cultured with AF. Neutralization of TGF-β increased proliferation of epithelial cells cultured in the asthmatic model. CONCLUSION: Fibroblasts from asthmatic subjects regulate epithelial cell prolifearation, and TGF-β signalling may represent one of the pathway involved in these interactions.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".