INTRAPULMONARY DELIVERY OF ETHYL PYRUVATE ATTENUATES LIPOPOLYSACCHARIDE- AND LIPOTEICHOIC ACID-INDUCED LUNG INFLAMMATION IN VIVO
Bibliographic record
Abstract
Ethyl pyruvate (EP) is a stable pyruvate derivative that has been shown to exert anti-inflammatory effects in various models of systemic inflammation including endotoxemia. We here sought to determine the local effects of EP, after intrapulmonary delivery, in models of lung inflammation induced by instillation via the airways of either lipopolysaccharide (LPS, a constituent of the gram-negative bacterial cell wall) or lipoteichoic acid (LTA, a component of the gram-positive bacterial cell wall). For this, we first established that EP dose dependently reduced the responsiveness of mouse MH-S alveolar macrophages and mouse MLE-15 and MLE-12 respiratory epithelial cells to stimulation with LPS or LTA in vitro. We then showed that intranasal administration of EP dose dependently inhibited tumor necrosis factor alpha release in bronchoalveolar lavage fluid of mice challenged with either LPS or LTA via the airways. Moreover, EP reduced the recruitment of neutrophils into the bronchoalveolar space after either LPS or LTA administration. These data suggest that intrapulmonary delivery of EP diminishes lung inflammation induced by LPS or LTA, at least in part by targeting alveolar macrophages and respiratory epithelial cells.
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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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".