The Role of IL-13 in Established Allergic Airway Disease
Bibliographic record
Abstract
The effectiveness of targeting IL-13 in models where airway hyperresponsiveness (AHR) and airway inflammation have already been established is not well-described. We investigated the effects of blocking IL-13 on the early and late phase airway responses and the development of AHR in previously sensitized and challenged mice. BALB/cByJ mice were sensitized (days 1 and 14) and challenged (days 28-30) with OVA. Six weeks later (day 72), previously sensitized/challenged mice were challenged with a single OVA aerosol and the early and late phase response and development of AHR were determined. Specific in vivo blockade of IL-13 was attained after i.p. injection of a soluble IL-13Ralpha2-IgG fusion protein (sIL-13Ralpha2Fc) on days 71-72 for the early and late responses and on days 71-73 for the development of AHR. sIL-13Ralpha2Fc administration inhibited the late, but not early, phase response and the OVA challenge-induced changes in lung resistance and dynamic compliance; as well, sIL-13Ralpha2Fc administration decreased bronchoalveolar lavage eosinophilia and mucus hypersecretion following the secondary challenge protocols. These results demonstrate that targeting IL-13 alone regulates airway responses when administrated to mice with established allergic airway disease. These data identify the importance of IL-13 in the development of allergen-induced altered airway responsiveness following airway challenge, even when administered before rechallenge of mice in which allergic disease had been previously established.
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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 | 0.001 | 0.002 |
| 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 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".