Amelioration of oxidative stress by dietary fenugreek (<i>Trigonella foenum</i>-<i>graecum</i> L.) seeds is potentiated by onion (<i>Allium cepa</i> L.) in streptozotocin-induced diabetic rats
Bibliographic record
Abstract
Oxidative stress has a crucial role in the progression of diabetes and its complications. Soluble fibre-rich fenugreek seeds (Trigonella foenum-graecum L.) are understood to have a beneficial effect in the management of diabetes. Previously, we have shown that the amelioration of diabetic hyperglycemia and related metabolic abnormalities was potentiated by onion (Allium cepa L.) in experimental rats. The present study evaluated the additive beneficial effect of dietary fenugreek seeds (10%) and onion (3%) on oxidative stress in diabetic rats. These dietary interventions lowered oxidative stress, the combination producing a higher beneficial effect (p < 0.05), although not additive. Dietary fenugreek, onion, or fenugreek+onion countered hypercholesterolemia (p < 0.05), especially from low-density lipoprotein-associated fraction by 43%, 35%, and 54%, respectively. Elevated concentrations of cholesterol and triglycerides in the liver and heart under diabetic conditions were significantly counteracted by these dietary interventions, with the additive combination resulting in greater effect. These findings were also corroborated by restoration of histopathological abnormalities of heart and liver tissues along with lowered heart and liver weights. It is inferred that an alleviation of oxidative stress contributes further to the antidiabetic influence and this nutraceutical potential of fenugreek seeds and onion was higher when consumed together.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".