Protective effect of urantide against ischemia–reperfusion injury via protein kinase C and phosphtidylinositol 3′-kinase – Akt pathway
Bibliographic record
Abstract
Urantide is the most potent UT receptor antagonist compound found to date. Our previous studies have shown that it has cardioprotective effect against ischemia-reperfusion injury. However, it is unclear which signal transduction pathways are involved in the urantide-induced cardioprotective effect. This study was designed to investigate whether the effect of urantide on myocardial ischemia-reperfusion injury in rats via the protein kinase C (PKC) and phosphatidylinositol 3-kinase (PI3K)-Akt signaling pathway. The results showed that urantide at 10 and 30 µg/kg markedly inhibited the increases in serum creatine kinase fraction and lactate dehydrogenase activities and the level of cardiac troponin I, reduced the ratio of myocardial infarct size to area at risk. Urantide significantly decreased the histological damage to the myocardium and modified the ultrastructural damage in cardiac myocytes. In the presence of chelerythrine (an inhibitor of PKC, 1 mg/kg) or LY294002 (an inhibitor of PI3K-Akt, 0.3 mg/kg), the protective effect of urantide was almost completely abolished. Urantide (30 µg/kg) markedly enhanced the expression of p-Akt protein during myocardial ischemia-reperfusion injury, and this enhancement was significantly attenuated by LY294002. Therefore, our results demonstrate that urantide has a potent protective effect against myocardial ischemia-reperfusion injury in rats that may be involved with the PKC and PI3K-Akt signaling pathways.
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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) | 0.002 | 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".