Sustained Suppression of IL-13 by a Vaccine Attenuates Airway Inflammation and Remodeling in Mice
Bibliographic record
Abstract
We previously reported that a recombinant IL-13 peptide-based virus-like particle vaccine significantly suppressed murine acute airway allergic inflammatory responses. The impact of this strategy on the development of chronic airway inflammation and remodeling has not been investigated. We evaluated whether the vaccine-mediated sustained suppression of IL-13 attenuates features of chronic airway inflammation and remodeling in mice repeatedly challenged with allergen. BALB/c mice received two intraperitoneal sensitizing injections of ovalbumin (OVA) and alum, followed by six consecutive 2-day intranasal OVA challenges at 12-day intervals and then a 4-week recovery period. Anti-IL-13 antibodies were induced with a vaccine before (preventive experiments) or after (interventional experiments) the OVA challenge commenced. Respiratory mechanics were assessed using low-frequency forced oscillation with a small animal ventilator. Cytokine concentrations in bronchoalveolar lavage fluid (BALF) and lung histology were also assessed. In the preventive experiments, vaccination significantly suppressed IL-13 concentrations, the accumulation of inflammatory cells in BALF, lung mucus production, and collagen deposition. Furthermore, vaccination significantly attenuated OVA challenge-induced increases in airway resistance, tissue resistance, and tissue elastance, both acutely and after a 4-week recovery from allergen challenges. In the interventional experiments, vaccination decreased IL-13, TGF-β1, and IL-12p40 concentrations in BALF, as well as mucus production and collagen deposition. Chronic inflammation and sustained airway hyperresponsiveness were not significantly reversed. The persistent suppression of IL-13 with a vaccine inhibits chronic airway inflammation and the development of several key components of airway remodeling, and this intervention is more effective at early stages than later during chronic inflammation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".