Reduction of oxidative stress and atherosclerosis in hyperlipidemic rabbits by<i>Dioscorea</i>rhizome
Bibliographic record
Abstract
Hyperlipidemia may induce oxidative stress, which is important in the pathogenesis of atherosclerosis. Dioscorea rhizome (DR) is the powdered form of yams, and possesses antioxidant and hypolipidemic function. We therefore investigated the antioxidative and antiatherogenic effects of DR on hyperlipidemic rabbits. The control group was fed chow containing 0.5% cholesterol and 10% corn oil. The probucol and DR groups were fed the same diet as the control group but with the addition of 100 mg probucol/kg chow and 200 mg DR/kg chow, respectively. Total cholesterol and triacylglycerol plasma levels, RBC hemolysis T50, lucigenin chemiluminescence, and luminol chemiluminescence increased in the control group compared with the normal group, and decreased in the probucol and DR groups compared with the control group. The activity of antioxidant enzymes superoxide dismutase and catalase was significantly higher in the probucol and DR group than in the control group. The level of 8-hydroxy-2'-deoxyguanosine (8-OHdG) in liver DNA was lower in the probucol and DR group than in the control group. Eighty percent of the intimal surface of the thoracic aorta was covered with atherosclerotic lesions in the control group but only 40% of the surface was covered in the DR group. These results suggest that supplementation with DR reduces oxidative stress and attenuates atherosclerosis in hyperlipidemic rabbits.
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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 | 0.000 |
| 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".