Cardiac-protective effects and the possible mechanisms of alatamine during acute myocardial ischemia
Bibliographic record
Abstract
Alatamine is a constituent in the extract of a traditional herbal medicine Ramulus euonymi widely used for cardiac protection. However, its precise effects remain unclear. In the present study, we found that alatamine was able to reduce acute myocardial ischemia (AMI)-induced cardiac dysfunction in a rat model, as reflected by significantly restored electrocardiograms, M-mode echocardiograms, and left ventricular hemodynamics. Also, Nagar Olsen staining revealed that alatamine markedly reduced AMI-induced cardiac injury and cardiac myocyte apoptosis. TUNEL and caspase-3 activity assay showed that cardiac myocytes underwent significant apoptosis during AMI, and levels of LDH and CK-MB increased in the serum. However, such changes were significantly inhibited by pre-administration of alatamine. Furthermore, such anti-apoptotic effects of alatamine was also confirmed in a cardiac myocyte model of isoproterenol (ISO)-induced damage. Mechanistically, it was also found that alatamine improved the expression and activity of sarcoplasmic/endoplasmic reticulum Ca(2+) ATPase (SERCA), which were inhibited during AMI, promoting contractility and relaxation. Meanwhile, alatamine decreased Bax and increased Bcl-2 expressions both in vivo and in vitro, therefore inhibiting cardiac myocyte apoptosis and preventing cardiac dysfunction caused by AMI at the cellular level. The present study revealed the beneficial role of alatamine in cardiac protection and highlighted it as a potential therapeutic reagent for reduction of AMI-induced cardiac injury.
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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 | 0.001 | 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".