Animal Models of Cigarette Smoke-Induced Chronic Obstructive Lung Disease
Bibliographic record
Abstract
Recent years have seen an explosion of animal models of cigarette smoke-induced chronic obstructive lung disease (COPD). Almost all of these have concentrated on the induction and prevention of emphysema. Neutrophils and neutrophil elastase, macrophages and macrophage-derived metalloproteases, lymphocytes, TNF-alpha, and oxidants have all been shown to play a role in the pathogenesis of emphysema in animal models, and interventions using either knockout mice or drugs have indicated possible preventive/therapeutic avenues. There is less in the way of models of smoke-induced small airway remodeling and almost nothing is known of its pathogenesis. Cigarette smoke has been shown to induce vascular remodeling and pulmonary hypertension in laboratory animals, and these mechanisms are beginning to be understood. A major limitation of existing animal models is that most produce relatively mild disease (no more severe than corresponding to the GOLD 2 stage of human COPD), and none of the models show the smoke-independent progressive disease seen in humans with GOLD 3 or 4 COPD. There are no models of cigarette smoke-induced chronic bronchitis in animals and there are no models of acute exacerbations of COPD.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.005 |
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".