Protective role of flaxseed oil on hypercholesterolemic rats
Bibliographic record
Abstract
<strong>ABSTRACT</strong> The present study aims to investigate the effects of replacing corn oil content (10%) in the standard diet of hypercholesterolemic rats (fed standard diet + 2% cholesterol for 4 weeks) with 50, 75 and 100% levels of flaxseed oil on the body weight gain, organ weight, blood glucose, liver and kidney functions and lipid profile. Data showed that 2% cholesterol administration caused significant increase in glucose, ALT, AST, ALP, urea, uric acid, triglyceride, total lipids, total cholesterol, LDL and VLDL levels in serum of hypercholesterolemic rats. Body weight gain and organ weight also significantly increased as compared to control rats. Consumption flaxseed oil at different replacement level diets by hypercholesterolemic rats resulted in significant decrease in body weight gain, organ weight and lipid parameters except HDL which decrease as compared to hypercholesterolemic rats fed standard diet. Blood glucose level, liver functions and kidney functions were also improved. <strong>Key words:</strong> Flaxseed oil, hypercholesterolemic rats, lipid profile, liver functions, kidney functions <strong>REFERENCES</strong> Al-Bishri, W.M. 2013. Favorable effects of flaxseed supplemented diet on liver and kidney functions in hypertensive rats. Journal of Oleo Science, 62: 709-715. Allian C., Poon L., Richmond W., Fu P. 1974. Enzymatic determination of total serum cholesterol. Clin Chem, 20: 470-475. Anwar M., Meki A. 2003. Oxidative stress in streptozotocin-induced diabetic rats: effects of garlic oil and melatonin. Comparative Biochem Physiol, 135: 539-547. Barakat, L.A.A., Mahmoud, R.H. 2011. The antiatherogenic, renal protective and immunomodulatory effects of purslane, pumpkin and flax seeds on hypercholesterolemic rats. North American Journal of Medical Sciences, 3: 351-357. Barcelo-Coblijn, G., Murphy, E.J. 2009. 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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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; both teacher heads agree on what is shown here.
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".