Less eosinophilic inflammation and goblet cell metaplasia in IL-33-treated, diet-induced obese mice
Bibliographic record
Abstract
<b>Background:</b> Obesity is a risk factor for the development of asthma and is associated with poor control. IL-33 is involved in innate immunity and induces type 2 inflammation in the airway. However, the role of IL-33 in obesity-associated asthma has not fully understood. <b>Aims:</b> In this study, we examined the effect of IL-33 in diet-induced obese mice. <b>Methods:</b> Female C57BL/6J mice (4-week-old) were fed with a high fat diet (HFD; 60% kcal from fat) or a normal chow diet (control) for 20 weeks. IL-33 (1μg/50μL PBS) was instilled intranasally on Day 1-3 in HFD mice and control mice. On Day 4, the mice were anesthetized, ventilated (flexiVent; SCIREQ, Montreal, Canada), challenged with increasing doses of inhaled methacholine, and measured with resistance of respiratory system (Rrs) by forced oscillation technique. Furthermore, cell differentiation in BAL fluid and histology of the lungs were also analyzed. <b>Results:</b> Body weight of HFD mice was ~ 35g, whereas that of control mice was ~20g. IL-33 increased eosinophil number in BALF in control mice. However, IL-33-induced increase in eosinophil number was much less in HFD mice than in control mice. Rrs was greater in HFD mice than in control mice under the non-treated condition. In contrast, IL-33 increased Rrs in control mice, whereas IL-33 had little effect on Rrs in HFD mice. IL-33-induced airway inflammation around bronchi and goblet cell metaplasia were less in HFD mice than in control mice. <b>Conclusion:</b> HFD-induced obesity increased airway hyperresponsiveness at baseline, but attenuated IL-33-induced eosinophilic inflammation and goblet cell metaplasia. These results might reflect some features of the obesity-associated asthma.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".