Synthetic Serine Elastase Inhibitor Reduces Cigarette Smoke–induced Emphysema in Guinea Pigs
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
To test whether a serine elastase inhibitor could prevent or reduce emphysema, we exposed guinea pigs to cigarette smoke acutely, or daily for 6 months, and treated some animals with the neutrophil elastase inhibitor ZD0892. Acute smoke exposure increased lavage neutrophils and increased desmosine and hydroxyproline, measures of elastin and collagen breakdown; all these measures were reduced by ZD0892. Long-term smoke exposure produced emphysema and increases in lavage neutrophils, desmosine, hydroxyproline, and plasma tumor necrosis factor alpha (TNF-alpha). ZD0892 treatment returned lavage neutrophils, desmosine, and hydroxyproline levels to control values, and decreased airspace enlargement by 45% and TNF-alpha by 30%. Animals exposed to smoke for 4 months and then to smoke plus ZD0892 for 2 months were not protected against emphysema. Mice exposed to smoke showed increases in gene expression of neutrophil chemoattractant macrophage inflammatory protein-2, macrophage chemoattractant protein-1, and TNF-alpha at 2 hours along with increased plasma TNF-alpha; ZD0892 prevented the increases in macrophage inflammatory protein-2 and macrophage chemoattractant protein-1 expression and reduced plasma TNF-alpha levels to baseline. These data demonstrate that a serine elastase inhibitor ameliorates the inflammatory and destructive effects of cigarette smoke, and that these effects are mediated in part by neutrophils and by smoke-driven TNF-alpha production.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it