Effects of CO liberated from carbon monoxide‐releasing molecule (CORM)‐2 on modulation of inflammatory response in ischemia/reperfusion (I/R)‐challenged small intestine
Bibliographic record
Abstract
CORM‐released CO has been shown to modulate inflammatory response. In this study, we assessed the effects and potential mechanisms of CORM‐2‐released CO on modulation of inflammatory response in mice small intestine following I/R. To this end mice (C57Bl/6) small intestine were challenged with ischemia by occluding SMA for 45 min. CORM‐2 (8 mg/kg; i.v.) was administered: 1) immediately before SMA occlusion or 2) immediately upon reperfusion. Sham operated mice were injected with vehicle (DMSO). Inflammatory response in the small intestine was assessed by measuring tissue levels of TNF‐[alpha] (ELISA), iNOS, ICAM‐1, and E‐selectin (Western blot) protein, accumulation of PMN (MPO assay) and the number of rolling/adherent leukocytes in the microcirculation of jejunum mucosa (Intravital microscopy) 4 hr following reperfusion. The obtained results indicate that tissue levels of TNF‐[alpha], iNOS, ICAM‐1 and E‐selectin protein expression and subsequent PMN accumulation were elevated in I/R‐challenged jejunum. The above changes were significantly attenuated in CORM‐2‐treated mice. The most potent inhibition was observed in mice, which were injected with CORM‐2 immediately before induction of ischemia. Taken together these findings indicate that CORM‐2‐released CO confers anti‐inflammatory effects in I/R‐challenged small intestine (HSFO‐NA5580 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".