Effects of allergen on airway narrowing dynamics as assessed by lung-slice technique
Bibliographic record
Abstract
Asthma is characterised by an excessive airway narrowing in response to a variety of stimuli, called airway hyperresponsiveness (AHR). Previous comparisons between mouse strains have shown that increased velocity of airway narrowing correlates with baseline airway responsiveness. These data prompted the investigation into models of induced AHR to see whether airway narrowing dynamics correlated with in vivo responsiveness. In an attempt to reproduce some of the features of asthma, BALB/c mice were sensitised and subjected to either brief or chronic periods of allergen exposure. Brief exposure involved two challenges with intranasal chicken egg ovalbumin (OVA(in)). Chronic exposure involved six 2-day periods of OVA(in) challenges, each separated by 12 days. Control mice received intranasal saline challenges. Outcomes included videomicrometry of lung slices (magnitude and velocity of airway narrowing), in vivo respiratory physiology measurements and histological staining with morphometric analysis. Neither brief nor chronic allergen exposure resulted in greater airway narrowing and increased velocity compared with saline controls. Structural changes in the airway, such as goblet cell hyperplasia, subepithelial fibrosis and increased contractile tissue, were detected in mice chronically challenged with allergen. In conclusion, increased responsiveness to methacholine following allergen challenge may not be due to an intrinsic change to the smooth muscle per se, but rather to other changes in the lung, which ultimately manifest as an increase in respiratory resistance.
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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 | 0.000 | 0.001 |
| 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".