ELEVATED ENDOGENOUS SURFACTANT REDUCES INFLAMMATION IN AN ACUTE LUNG INJURY MODEL
Why this work is in the frame
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Bibliographic record
Abstract
Acute lung injury (ALI) is associated with severe pulmonary inflammation and alterations to surfactant, and often results in overwhelming systemic inflammation, leading to multiple organ failure. The objective of this study was to determine the effect of increased endogenous surfactant pools on pulmonary and systemic inflammation in a model of lipopolysaccharide (LPS)-induced ALI. Mice received an instillation of liposome-encapsulated (i) dichloromethylene diphosphonic acid (DMDP) to increase surfactant pools via depletion of alveolar macrophages, or (ii) phosphate-buffered saline (PBS). Seven days after instillation, mice received an intranasal administration of LPS or saline. Following a 4-hour recovery period, mice were sacrificed and their lungs were isolated, mechanically ventilated, and perfused with 8 mL of recirculated perfusate through the pulmonary circulation for 2 hours. Perfusate and lavage fluid were collected for analysis of inflammatory mediators. Lavage analysis revealed a 5-fold increase in surfactant pools in DMDP-treated mice compared to PBS-treated controls. Lavage and perfusate analyses showed significant decreases in the concentrations of interleukin (IL)-6, tumor necrosis factor (TNF)-alpha, macrophage inflammatory protein (MIP)-1alpha, and IL-1beta cytokines in DMDP-LPS mice compared to PBS-LPS controls. Elevated endogenous surfactant pools are protective against both LPS- and mechanical ventilation-induced inflammation, in addition to inflammation associated with the combination of these two insults.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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