Opposing effects of carbon monoxide (CO) releasing molecule (CORM3) on activation of polymorphonuclear leukocytes (PMN) and endothelial cells (HUVEC) in sepsis.
Bibliographic record
Abstract
Recently, it has been shown that CORM‐released CO can modulate inflammatory response. In this study we assessed the effects and potential mechanisms of water‐soluble CO‐releasing molecule, CORM3, in experimental model of sepsis. Sepsis in mice was induced by cecal ligation/puncture (CLP). CORM3 (3mg/kg; iv) was administered 15 min after CLP induction. PMN accumulation (MPO assay) in the lung was assessed 6 hr later. In in vitro experiments human PMN were primed with LPS (10ng/ml) and stimulated with fMLP (100nM). PMN production of ROS (oxidation of L‐012/DHR123 over 30 min period of time) and release of elastase (AAPV‐pNA; 1hr) were assessed. In parallel, HUVEC were stimulated with LPS (1µg/ml) and assessed for ROS production, E‐selectin/ICAM‐1 expression (RT‐PCR) and 51Cr‐PMN adhesion/migration. Some experiments were performed in the presence of CORM‐3 (1‐100 µM). The obtained results indicate that CORM3 significantly reduced PMN accumulation in the lung of septic mice. In parallel, LPS‐induced increase in HUVEC ROS production, E‐selectin/ICAM‐1 expression and PMN adhesion/migration were attenuated by CORM‐3. On the contrary, CORM3 markedly increased ROS production and potentiated release of elastase by LPS‐primed PMN. These data indicate that CORM3 reduces inflammation in the septic lung by differentially modulating PMN and endothelial cell activation (HSFO‐ NA6171 and MOP‐68848)
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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 | 0.000 |
| 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".