IL‐12 regulates bone marrow eosinophilia and airway eotaxin levels induced by airway allergen exposure
Bibliographic record
Abstract
BACKGROUND: Airway allergen exposure causes local eosinophilic cell infiltration. This cellular inflammatory response is likely to involve the release of eosinophils from peripheral storage pools, and possibly also regeneration of eosinophils in the bone marrow. IL-12 is an inhibitory cytokine in allergic inflammation, shown to reduce eosinophilic cell infiltration. The aim of the present study was to determine whether airway allergen exposure increases bone marrow eosinophil production, and, if so, whether IL-12 modulates this effect. METHODS: Ovalbumin-sensitized C57BL/6 mice and IL-12 knockout (KO) mice were exposed to allergen via the airway route, and the inflammatory cell response was evaluated in bronchoalveolar lavage fluid, blood, and bone marrow. RESULTS: Allergen instillation intranasally produced a dose-dependent inflammatory response in the lower airways of sensitized mice. This inflammatory response was dominated by eosinophils, but there were also increases of both lymphocytes and neutrophils. Sensitization and airway allergen exposure also increased the IL-5-dependent growth of bone marrow cells in vitro. The enhanced bone marrow responsiveness in vitro was paralleled by an increased number of bone marrow eosinophils in vivo. After sensitization and repeated allergen exposure, IL-12 KO mice showed higher eosinophil levels in both BAL and bone marrow than parallel wild-type control mice. Furthermore, BAL-eotaxin levels were increased in IL-12 KO mice as opposed to parallel wild-type controls after allergen exposure. CONCLUSIONS: Airway allergen exposure induced systemic immunologic responses, including increased eosinophil numbers in both airways and bone marrow, and also enhanced IL-5 responsiveness in bone marrow cells. IL-12 may regulate airway eosinophilia at both the level of eosinophilopoiesis and the level of local recruitment of eosinophils into the airways.
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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) | 0.000 | 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".