Septic pulmonary microvascular endothelial cell injury: role of alveolar macrophage NADPH oxidase
Bibliographic record
Abstract
A significant role for alveolar macrophages (AM) in the pathophysiology of sepsis-induced acute lung injury (ALI) has been shown; however, the mechanisms behind AM-related lung injury remain relatively uncertain. We examined the role of AM nicotinamide adenine dinucleotide phosphate (NADPH) oxidase in pulmonary endothelial cell septic injury. NADPH oxidase is one of the major sources of cellular reactive oxygen species and has been implicated in endothelial injury in ALI. Pulmonary microvascular endothelial cells (PMVEC) monolayers were grown on Transwell inserts and incubated with wild-type and NADPH oxidase-deficient AM in the presence or absence of cytomix (equimolar TNF-alpha, IL-1beta, and IFN-gamma). Injury to the monolayers was assessed by trans-PMVEC Evans blue (EB)-labeled albumin flux. We found AM under cytomix stimulation caused significant EB-albumin flux across the PMVEC monolayers, and this effect was attenuated by the genetic deletion of AM NADPH oxidase. The pharmacological inhibition of AM NADPH oxidase with apocynin and PR-39 also significantly reduced AM-dependent PMVEC injury. In the AM-PMVEC cocultures, we also assessed PMVEC injury through measurement of protein oxidation and lipid peroxidation. AM were shown to cause a significant increase in these markers of PMVEC injury, which was also attenuated by the inhibition of NADPH oxidase or through the use of NADPH oxidase-deficient AM. PMVEC NADPH oxidase was shown not to significantly contribute to PMVEC injury in our studies. From our findings we have concluded that AM NADPH oxidase is crucial for the septic increase in pulmonary vascular permeability.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".