The role of innate lymphoid cells (ILCs) in a murine model of irritant-induced asthma
Bibliographic record
Abstract
Rationale: Innate lymphoid cells (ILCs), part of the innate immune system, produce IFN-γ (ILC1), IL-5 and IL-13 (ILC2), and IL-17 (ILC3). The purpose of the present study was to examine the function of ILCs in irritant-induced airway inflammation and function. Hypothesis: We hypothesized that ILCs have a protective role in irritant-induced airway dysfunction and inflammation. Methods: We quantified lung ILC subtypes (ILC; CD45+ Lineage- CD90+ CD127+) and T-bet+ ILC1, GATA3+ ILC2 and RORγt+ ILC3 by flow cytometry at 3, 12, and 24 h after chlorine (Cl2) exposure in BALB/c mice. We assessed airway responsiveness to methacholine (FlexiVent) in RAG-/- mice, deficient in T and B cells, after depletion of ILCs with anti-CD90 antibody (i.p) 12h before and 3h after Cl2 exposure and in combined RAG and IL-2rg knockout (RAG-/-IL2rg-/-) mice, deficient in T, B and ILCs. We expanded the lung ILCs with intranasal recombinant IL-33 for 3 successive days in RAG-/- mice and 1 day later we exposed mice to Cl2 and assessed lung function at 24 hours after exposure. In these mice we neutralized IL-13 with an anti-IL-13 antibody i.p at 1h before Cl2 exposure following IL-33-induced ILC expansion. Results: ILC2s and ILC3s were significantly increased 3 and 24h after Cl2 exposure. Lack of ILCs did not affect airway hyperresponsiveness (AHR) and airway inflammation in the response to Cl2. IL-33 expanded ILC2, attenuated AHR and neutrophilia but increased eosinophilic inflammation. IL-13 neutralization restored AHR to methacholine of the Cl2 exposed control group. Conclusions: ILCs and the IL-33/IL-13 pathway may have a protective role in the prevention of AHR and airway neutrophilia following Cl2.
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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 | 0.001 | 0.001 |
| Open science | 0.001 | 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".