The ability of yoghurt supplemented with dietary fibers or brans extracted from wheat or rice to reduce serum lipids and enhance liver function in male hypercholesterolemic rats
Bibliographic record
Abstract
This study was undertaken to evaluate the effect of yoghurt supplementation with rice and wheat brans or dietary fibers on serum lipid profile, liver, and heart functionalities, and hepatopathological aspects of the liver of hypercholesterolemic rats. 48 male rats were divided into 8 groups. Group 1 was kept as negative control and fed with a standard diet, and groups 2 to 6 were fed a hypercholesterolemia-induced diet supplemented with brans or dietary fibers of both grains. G2 received yoghurt without supplementation. The experiment lasted for 4 weeks. Results revealed that hypercholesterolemic rats administrated yoghurt supplemented with brans or dietary fibers reduced serum glucose from 113.9 ± 2.72 to 85.5 ± 4.94 in the serum of animals that received dietary fibers of rice and wheat, respectively. In addition, lipids profile and liver antioxidant status were improved. In addition, liver and heart functionalities and liver histopathological architecture were all improved depending on the type of administrated brans or fibers added to yoghurt. The inclusion of 0.5% of rice or wheat brans could be recommended to be added to yoghurt. PRACTICAL APPLICATIONS: Yoghurt is the most famous fermented milk in the world. Supplementation of yoghurt with rice and wheat brans or dietary fibers increased its nutritional value. We proved that this new product contributes to reducing serum glucose, improving lipids profile, and enhancing liver and heart functions in hypercholesterolemic rats. This study confirmed the suitability to add a thesis type of brans or dietary fibers as bioactive ingredients to yoghurt and increased the varieties of functional foods.
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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) | 0.000 | 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) | 0.000 | 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".