The protective role of virgin coconut oil on the alloxan-induced oxidative stress in the liver, kidneys and heart of diabetic rats
Bibliographic record
Abstract
) diabetes in rats. Our results showed that daily supplementation of VCO (20% of food) for 16 weeks significantly (p < 0.05) ameliorates some deleterious effects caused by alloxan. VCO reduced the diabetes-related increase in food (82.15 ± 1.49 vs. 145.51 ± 4.81 g per kg b.m. per day) and water (305.49 ± 6.09 vs. 583.98 ± 14.80 mL per kg b.m. per day) intake, and the decrease in the body mass gain (0.56 ± 0.16 vs. -2.13 ± 0.49 g per 100 g b.m. per week). In all three tissues, diabetes caused an increase in the concentration of total glutathione and sulfhydryl groups, and catalase and glutathione S-transferase activities, without changes in superoxide dismutase activity. Glutathione peroxidase activity was increased in the kidneys and heart, but not in the liver of the diabetic animals, while glutathione reductase activity was increased in the liver and the kidneys, and not in the heart. The simultaneous VCO supplementation increased the concentration of the sulfhydryl group in all three tissues of diabetic animals and decreased the glutathione S-transferase activity and glutathione concentration, without affecting the glutathione reductase activity. In the liver of diabetic animals it decreased superoxide dismutase, catalase and glutathione peroxidase activities, in the heart catalase and glutathione peroxidase activities, and in the kidney catalase activity only. The results of canonical discriminant analysis of oxidative stress parameters revealed that VCO exerts its effects in a tissue-specific manner.
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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) | 0.000 | 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 | 0.000 |
| 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".