PI3K-Akt/eNOS in remote postconditioning induced by brief pulmonary ischemia
Bibliographic record
Abstract
PURPOSE: Postconditioning, a series of brief ischemia-reperfusion sequences given before an ischemic heart undergoes sustained reperfusion, has been shown to lessen ischemia/reperfusion injury. The current study establishes a rabbit model of myocardial ischemia-reperfusion and studied the effects of pulmonary remote postconditioning in this model. METHODS: Serum levels of creatine kinase (CK), superoxide dismutase (SOD), and malondialdehyde (MDA), protein expression of endothelial nitric oxide synthase (eNOS), Rho kinase (ROCK- 2), and protein kinase B (Akt) in myocardial cells and the apoptosis index of myocardial cells were examined. RESULTS: Pulmonary remote postconditioning decreased CK, significantly decreased MDA, and increased SOD. Postconditioning significantly increased eNOS protein expression. Administration of eNOS inhibitor, L-NAME, dramatically suppressed the postconditioning-induced eNOS protein expression and serum SOD level, but significantly increased MDA level. The two longer sessions of postconditioning increased Akt, although this increase was not accompanied by changes in levels of the Akt inhibitor, ROCK-2. Blocking eNOS activity with L-NAME had no visible effect on either Akt or ROCK-2. CONCLUSION: Our results suggest a role for Akt in remote postconditioning-induced myocardial protection, but do not support an involvement of eNOS in Akt-mediated action.
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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) | 0.002 | 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".