Modulation of Monocrotaline-Induced Cor Pulmonale by Grape Juice
Bibliographic record
Abstract
The study was designed to test whether the ingestion grape juice (GJ) could modulate monocrotaline (MCT)-induced Cor pulmonale resulting from antioxidant properties. Three-week-old male Wistar rats received GJ (10 mL/kg/day) by gavage for 6 weeks. A single injection of MCT (60 mg/kg body weight intraperitoneally) was administered at the end of the third week. Animals were divided in four groups: control, MCT, GJ, and GJ + MCT. MCT promoted a significant increase in right ventricle (36%) and lung (70%) weight to body weight ratio. There was an increase in the right systolic (38%) as well as in the end diastolic (70%) ventricular pressures. MCT caused a significant decrease in lung endothelial nitric oxide synthase (20%) but increase in lipid peroxidation (13%) and catalase (43%). MCT-induced decrease in the endothelial nitric oxide synthase and increase in the right ventricular end diastolic pressure were prevented by GJ, whereas right systolic ventricular pressure and lung weight to body weight ratio were corrected only partially. MCT-induced increase in heart and right ventricle to body weight ratios was not changed by GJ. GJ blunted MCT-induced increase in lipid peroxidation but had no effect on the changes in catalase and superoxide dismutase activities. GJ appears to offer some protection against MCT-induced Cor pulmonale and right ventricle function changes.
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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 | 0.000 | 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".