Improvement of defective cystic fibrosis airway epithelial wound repair after CFTR rescue
Bibliographic record
Abstract
Airway damage and remodelling are important components of lung pathology progression in cystic fibrosis (CF). Although repair mechanisms are engaged to restore the epithelial integrity, these processes are obviously insufficient to maintain lung function in CF airways. Our aims were therefore to study how the basic cystic fibrosis transmembrane conductance regulator (CFTR) defect could impact epithelial wound healing and to determine if CFTR correction could improve it. Wound-healing experiments, as well as cell migration and proliferation assays, were performed to study the early phases of epithelial repair in human CF and non-CF airway cells. CFTR function was evaluated using CFTR small interferring (si)RNA and inhibitor GlyH101 in non-CF cells, and conversely after CFTR rescue with the CFTR corrector VRT-325 in CF cells. Wound-healing experiments first showed that airway cells from CF patients repaired slower than non-CF cells. CFTR inhibition or silencing in non-CF primary airway cells significantly inhibited wound closure. GlyH101 also decreased cell migration and proliferation. Interestingly, wild-type CFTR transduction in CF airway cell lines or CFTR correction with VRT-325 in CFBE-ΔF508 and primary CF bronchial monolayers significantly improved wound healing. Altogether our results demonstrated that functional CFTR plays a critical role in wound repair, and CFTR correction may represent a novel strategy to promote the airway repair processes in CF.
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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 | 0.003 | 0.001 |
| 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 | 0.001 |
| 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".