INTERLEUKIN-9 AND -13 INHIBIT SPONTANEOUS AND CORTICOSTEROID INDUCED APOPTOSIS OF NORMAL AIRWAY EPITHELIAL CELLS
Bibliographic record
Abstract
The airway epithelium is the target of physical and allergic insults. The resulting inflammatory signals from Th2 cytokines including interleukin (IL)-9 and IL-13 have pleiotropic activities and have been implicated in airway remodeling in asthmatics. The objective of this study was to determine the role of IL-9 and IL-13 in the regulation of normal airway epithelial cell death and epithelial repair. In a cell culture model, a normal human airway epithelial cell line and primary airway epithelial cells were treated with IL-9 or IL-13 alone and in combination. Apoptosis was determined by multiple techniques, including enrichment of nucleosomes released into the cytoplasm, mitochondrial membrane polarity perturbation, cytosolic cytochrome c released and the detection of cleaved p85-poly(ADP-ribose)polymerase (PARP). Proliferation was quantified by BrdU incorporation. IL-9 and IL-13 treatment, alone and in combination, resulted in a significant reduction in spontaneous airway epithelial cell apoptosis when compared to controls. The cytoprotective effect of IL-9 was associated with up-regulation of the antiapoptotic molecule Bcl-2. IL-13 also demonstrated coordinate pro-proliferative activity .Dexamethasone induces apoptosis in airway epithelial cells. Coincubation with IL-9 or IL-13 was protective against this corticosteroid-induced apoptosis by up-regulation of Bcl-2. These data demonstrate that IL-9 and IL-13 may be critical to normal cellular homeostasis in the setting of airway epithelial injury. A dysregulated response to these cytokines may contribute to airway remodeling in asthma.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".