ANIMAL MODELS OF CHRONIC BRONCHITIS AND THEIR RELEVANCE TO STUDIES OF PARTICLE-INDUCED DISEASE
Bibliographic record
Abstract
Chronic bronchitis is a significant cause of morbidity and mortality. Chronic irritation of the conducting airways by inhaled substances, most importantly cigarette smoke, air pollution, and occupational exposures, is thought to be a key factor in the pathogenesis of chronic bronchitis. Microbial infections have been implicated in acute exacerbations of bronchitis and in its progression. Several animal models of chronic bronchitis have been developed. This review examines similarities and dissimilarities among commonly used animal models of bronchitis and the human disease. The most commonly used animal models of chronic bronchitis are those employing SO2, tobacco smoke, lipopolysaccharide (endotoxin), proteases, and secretagogues. Bronchiolitis induced by nickel and nitric acid have also been reported. Rats, hamsters, and dogs are the species most frequently used; sheep and monkeys have been used less frequently. These models vary in the extent or location of mucous-cell hyperplasia and metaplasia, airway inflammation, chronicity, ease of induction, and reproducibility. Frequently, the deficiencies in these models are attributable to anatomic differences between human and animal airways, differences in the severity or chronicity of inflammation or fibrosis, or lack of complete characterization of the responses and their time course in the animal model. These animal models may be useful for investigating how, and under what exposure conditions, ambient pollutants might exacerbate airway inflammation, mucus hypersecretion, and airflow limitation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 | 0.000 |
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 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".