Lycopene Potentiates the Protective Effect of Aliskiren on Doxorubicin-Induced Cardiomyopathy in Rats
Bibliographic record
Abstract
Objective: The present study was designed to explore the combination therapy of lycopene with aliskiren in doxorubicin induced cardiomyopathy.Methods: Cardiomyopathy was induced in Wistar rats by i.p. administration of Doxorubicin (DOX) (15 mg/kg, single dose). Haemodynamic parameters (Systolic, diastolic blood pressure, Heart rate), heart weight, heart weight/body weight ratio, serum lactate dehydrogenase (LDH), oxidative stress (TBARS) and antioxidant enzymes (Glutathione, SOD and catalase) as well as transmission electron microscopein heart tissue were carried out.Results: There was significant increase in blood pressure, serum, lactate dehydrogenase (LDH), oxidative stress (TBARS) and significant decrease in heart weight, heart weight/body weight ratio and antioxidant enzymes in cardiomyopathic rats. Combined therapy of lycopene (2 and 4mg/kg) with aliskiren (100 mg/kg) treatment showed pronounced beneficial effecton above parameters.Furthermore lycopene with aliskiren significantly improves the antioxidant defense by increasing reduced glutathione, SOD, catalase, heart size and heart weight/body weight ratio. It is clearly observed from Transmission electron microscopic slides of DOX treated rats, there was swelling of mitochondria with disruption of cristae, rupture of nuclear membrane, condensation and margination of nuclear chromatins which were well protected by lycopene along with aliskiren treatment.Conclusion: Therefore, combination therapy of lycopene with aliskiren offers better treatment for DOX-induced cardiomyopathy than ALK alone.
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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) | 0.001 | 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 | 0.001 |
| 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".