Potentiation of antioxidant effect of dietary tender cluster beans (<i>Cyamopsis tetragonoloba</i>) by garlic (<i>Allium sativum</i>) in high-cholesterol-fed rats
Bibliographic record
Abstract
The antioxidant role of tender cluster beans (Cyamopsis tetragonoloba, CB), a rich source of soluble fibre, was investigated in a hypercholesterolemia-induced oxidative stress situation in rats. In the context of dietary garlic (Allium sativa) potentiating the hypocholesterolemic influence of CB, we also examined if dietary garlic enhances the antioxidant potential of CB. Groups of Wistar rats were rendered hypercholesterolemic by feeding them a 0.5% cholesterol diet for 8 weeks. Dietary interventions were made by inclusion of 15% tender CB powder or 1% garlic powder or their combination in a high-cholesterol diet. Concentrations of antioxidant molecules and activities of antioxidant enzymes in blood and liver were examined. Dietary CB displayed an antioxidant influence in terms of elevating ascorbic acid and glutathione concentrations and stimulating the activities of antioxidant enzymes both in blood and liver. The antioxidant effect of dietary CB was generally potentiated by co-administration of garlic. Thus, consumption of tender CB and garlic together could form a strategy for improving the body's antioxidant status.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".