Hepato-protective Potential of Hull Fraction from Indian Flaxseed Cultivar
Bibliographic record
Abstract
Objective: Secoisolariciresinol diglucoside (SDG) isolated from hull fraction of Indian flaxseed cultivar was studied for its hepatoprotective potential by measuring the level of hepatic enzymes such as catalase, peroxidase and superoxide desmutase (SOD) upon feeding to albino rats. Material & Methods: The animals were grouped into five groups (n=5): The first group served as normal and received normal diet without treatment of toxin and hull fraction of flaxseed. The second group was named the control and received a regular commercial diet. The third, fourth and fifth groups were fed with normal diet and supplemented with hull fraction of flaxseed (150 and 250 μg/kg) and standard SDG (150 μg/kg), that was mixed with olive oil for 14 days. Results: Pretreatment of rats with 150 μg/kg b.w hull fraction of flaxseed followed by CCl4 treatment caused restoration of catalase, SOD and peroxidase by 37.70%, 108.22% and 23.89% respectively as compared to control. The group treated with 250 μg/kg b.w hull fraction of flaxseed showed the restoration of 67.30%, 152.82% and 39.88% of catalase, SOD and peroxidase, respectively. Conclusion: In conclusion, SDG fed in the form of flaxseed hull is responsible for its hepatoprotective properties. Further, it can be used as a potential source of nutraceutical agent and studies are required in this field to examine its use in large scale for food and feed industries. Keywords: Flaxseed; hull fraction; SDG; antioxidant enzymes DOI: 10.3126/ajms.v1i2.2938Asian Journal of Medical Sciences 1 (2010) 20-25
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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".