Effect of valsartan on cardiac senescence and apoptosis in a rat model of cardiotoxicity
Bibliographic record
Abstract
The clinical application of doxorubicin is limited by its cardiotoxicity. The present study investigated the effect of valsartan on doxorubicin-induced cardiotoxicity in rats. Rats were divided into 6 groups: control, control + valsartan (10 mg/kg, for 14 days, orally), doxorubicin-treated (2.5 mg/kg, 3 times/week for 2 weeks, intraperitoneally), valsartan then doxorubicin, valsartan + doxorubicin, and doxorubicin then valsartan. ECG, isolated heart, lipid peroxidation (thiobaribituric acid reactive substances (TBARS)), total antioxidant capacity (TAC), and Bax, Bcl-2, and senescence marker protein 30 (SMP30) gene expression were measured in cardiac tissue. Blood samples were collected to measure lactate dehydrogenase (LDH) and creatine kinase MB (CK-MB). Doxorubicin significantly increased LDH, CK-MB, TBARS, heart rate (HR), Bax gene expression, and -dP/dtmax and decreased TAC, Bcl-2 and SMP30 gene expression, left ventricular developed pressure (LVDP), and +dP/dtmax. Also, doxorubicin lengthened ST, QT, and QTc intervals. Concurrent or post- but not pre-treatment of doxorubicin-treated rats with valsartan reduced LDH, CK-MB, TBARS, HR, Bax gene expression, -dP/dtmax, and ST, QT, and QTc intervals and increased TAC, Bcl-2 and SMP30 gene expression, LVDP, and +dP/dtmax. Therefore, we conclude that concurrent or post- but not pre-treatment of doxorubicin-induced rats with valsartan attenuated doxorubicin-induced cardiotoxicity through inhibiting oxidative stress, apoptosis, and senescence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".