Tanshinone II A Relieves Adriamycin-induced Myocardial Injury in Rat Model
Bibliographic record
Abstract
As an effective antineoplastic agent, adriamycin (ADR) remains a use for the treatment of cancer. However, it is limited by the serous cardiotoxicity. Tanshinone II A is the main effective component of Salvia miltiorrhiza Bunge which has been used for treatment of cardiovascular diseases. The purpose of this study is to evaluate the protective effect of Tanshinone II A on adriamycin-induced myocardial injury in rat and explore the mechanism of this effect. Male Wistar rats (200 ± 20 g) were divided into three groups, control (CON) group, adriamycin (ADR) group and ADR + Tanshinone II A (TRA) group. At the end of the 4 week treatment period, cardiac function was evaluated by transthoracic echocardiography. Molecular and cellular measurements were performed in atrial muscle to examine histopathological changes, the formation of fibrosis, Inflammation and apoptosis. Cardiac dysfunction was induced by adriamycin, as indicated by significant decreases in ventricular fractional shortening and ejection fraction. This adriamycin-induced cardiac dysfunction was prevented by the treatment of Tanshinone II A. Adriamycin induced pathological changes and fibrosis, activated apoptosis (increased TUNEL index, apoptotic DNA fragmentation,and caspase-3 activity and decreased Bcl-2/Bax ratio), inflammation and suppressed phosphorylation status (eIF2α and PERK) in atrial. All these molecular and cellular alterations induced by ADR were not found in the rats treated with Tanshinone II A. These findings demonstrate clearly that Tanshinone II A protects the cardiomyocytes against the ADR-induced cardiomyopathy by preventing the activation of cardiac fibrosis and apoptosis, and the effects are probably mediated through ERS pathway.
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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 | 0.001 | 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".