Endothelial E- and P-selectin expression in iNOS- deficient mice exposed to polymicrobial sepsis
Bibliographic record
Abstract
In vitro, nitric oxide (NO) decreases leukocyte adhesion to endothelium by attenuating endothelial adhesion molecule expression. In vivo, lipopolysaccharide-induced leukocyte rolling and adhesion was greater in inducible NO synthase (iNOS)-/- mice than in wild-type mice. The objective of this study was to assess E- and P-selectin expression in the microvasculature of iNOS-/- and wild-type mice subjected to acute peritonitis by cecal ligation and perforation (CLP). E- and P-selectin expression were increased in various organs within the peritoneum of wild-type animals after CLP. This CLP-induced upregulation of E- and P-selectin was substantially reduced in iNOS-/- mice. Tissue myeloperoxidase (MPO) activity was increased to a greater extent in the gut of wild-type than in iNOS-/- mice subjected to CLP. In the lung, the reduced expression of E-selectin in iNOS-/- mice was not associated with a decrease in MPO. Our findings indicate that NO derived from iNOS plays an important role in sepsis-induced increase in selectin expression in the systemic and pulmonary circulation. However, in iNOS-/- mice, sepsis-induced leukocyte accumulation is affected in the gut but not in the lungs.
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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) | 0.000 | 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".