Increased local levels of granulocyte colony-stimulating factor are associated with the beneficial effect of pre-elafin (SKALP/trappin-2/WAP3) in experimental emphysema
Bibliographic record
Abstract
Few therapeutic options are offered to treat inflammation and alveolar wall destruction in emphysema. The effect of recombinant human pre-elafin, an elastase inhibitor, was evaluated in porcine pancreatic elastase (PPE)-induced emphysema in C57BL/6 mice. In a first protocol, mice received a single instillation of pre-elafin (17.5 pmol/mouse) at 1 h post-PPE and were sacrificed up to 72 h post-PPE. A single instillation of pre-elafin significantly reduced PPE-induced neutrophil accumulation in lungs, as assessed by bronchoalveolar lavage (BAL), by 51%, 71% and 67% at 24, 48 and 72 h, respectively. In a second protocol, mice also received a single dose of PPE, but pre-elafin three times a week for 2 weeks. After 2 weeks, pre-elafin significantly reduced the PPE-induced increase in BAL macrophage numbers, airspace dimensions and lung hysteresivity by 74%, 62% and 52%, respectively. Since G-CSF was previously shown to reduce emphysematous changes in mice, the BAL levels of this mediator were measured 6 h post-PPE in animals treated as described in the first protocol. Pre-elafin significantly increased G-CSF levels in PPE-exposed mice compared to sham- and PPE only-exposed animals. This suggests that the beneficial effects of pre-elafin could be mediated, at least in part, by its ability to increase G-CSF levels in the lung.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".