IL‐13 signaling through IL‐13 receptor α2 mediates airway epithelial wound repair
Bibliographic record
Abstract
ABSTRACT Asthma is an airway inflammatory disease characterized by epithelial barrier dysfunction and airway remodeling. Interleukin‐13 (IL‐13) is a pleiotropic cytokine shown to contribute to features of airway remodeling. We have previously demonstrated that IL‐13 is an important mediator of normal airway epithelial repair and health. The role of IL‐13 signaling via its receptor subunits (IL‐13Rα1/IL‐4Rα and IL‐13Rα2) in airway epithelial repair and restoration of intact barrier function is not well understood and was investigated in this study using in vitro models. The blocking of IL‐13 signaling via IL‐13Rα2 significantly reduced airway epithelial repair by 24 h post‐mechanical wounding in 1HAEo − cells. Expression and release of repair‐mediating growth factor, heparin‐binding epidermal growth factor (EGF)‐like growth factor (HB‐EGF), and subsequent activation of EGF receptor (EGFR) were also significantly reduced in response to wounding when IL‐13Rα2 was blocked. Our data support that IL‐13 signals via IL‐13Rα2 to mediate normal airway epithelial repair via HB‐EGF‐dependent activation of EGFR. In human donor lung tissues, we observed that airway epithelium of asthmatics expressed significantly decreased levels of IL‐13Rα2 and increased levels of IL‐13Rα1 compared with nonasthmatics. Dysregulated expression of IL‐13 receptor subunits in the airways of asthmatics may thus contribute to the epithelial barrier dysfunction observed in asthma.—Yang, S. J., Allahverdian, S., Saunders, A. D. R., Liu, E., Dorscheid, D. R. IL‐13 signaling through IL‐13 receptor α2 mediates airway epithelial wound repair. FASEB J. 33, 3746–3757 (2019). www.fasebj.org
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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 | 0.001 | 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 | 0.002 | 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) | 0.004 | 0.005 |
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; both teacher heads agree on what is shown here.
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".