Bibliographic record
Abstract
There is unequivocal evidence of autophagy in the heart, both in human hearts from patients who experienced heart failure and in experimental models of myocardial ischemia and reperfusion. Whether autophagy is involved in the pathophysiology of these conditions is controversial as studies suggest inhibition of Beclin 1 can increase or decrease cardiomyocyte cell injury. Increased beclin 1 expression, however, has been consistently identified in myocardial ischemia/reperfusion. Because of the role of nitric oxide (NO) in myocardial ischemia/reperfusion as well as in heart failure, we sought to determine whether NO and its byproduct peroxynitrite alter the expression of some genes involved in autophagy in the heart. Neonatal mouse cardiomyocytes were treated with SIN-1 (3-morpholinosydnonimine), which releases NO and accelerates formation of peroxynitrite. Gene expression was evaluated using RNA labeled and hybridized to cDNA microarrays. SIN-1 treatment induced significant changes in five caspases. In contrast, there were no changes in three genes involved in autophagy, namely beclin 1, Atg5l and Atg12l. Several different time periods were examined; a short time period, 2h, to more closely model myocardial ischemia reperfusion and a long time period, 20 h, that more closely represents sustained injury. In summary, evidence to date suggests that NO is not involved in increased beclin 1 expression in ischemia/reperfusion injury in the heart and would be unlikely to account for the signs of autophagy in the hearts of patients with heart failure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".