Antiobesity and Lipid Lowering Activitiy of Vigna unguiculata (L) Walp. Seed in High Fat Diet Induced Obese Mice
Bibliographic record
Abstract
Seed of Vigna unguiculata is commonly used as culinary in Bangladesh and many parts of the world. Besides this, seed of V. unguiculata possesses some medicinal values like being an antioxidant etc. In this study, seeds of V. unguiculata were used to determine the link between its total phenolic content and lipid lowering activity. Phytochemicals presents in the seeds were evaluated. Total phenolic content (TPC) was determined by using folin-ciocalteu method. High fat diet induced obese mice were used for anti-obesity and antihyperlipidemic test. Body weight gain, total cholesterol and triglyceride levels were analyzed. Preliminary phytochemical screening showed that amino acid, phenol, alkaloid and terpenes were very strongly present in cowpea seed, while carbohydrate, cardiac glycoside, was moderately present. The V. unguiculata seeds showed significant total phenolic content with a value of 119.716mg of GAE/gm equivalent. Cowpea seeds, with a dose of 400mg/kg body-weight, showed significant reduction in body weight gain when treated with fat diet compared with normal diet. Cowpea seeds are also capable of lowering the serum cholesterol (p < 0.01) and serum triglyceride level (p < 0.01) more significantly in high fat diet induced obesity. V. unguiculata seeds have a significantly high total phenolic content while the other phytochemicals are moderately present in them. It has anti-obesity activity that can interfere with serum cholesterol and triglyceride metabolism. So, it seems like a healthy diet for the management of obesity and other heart related disease.
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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 | 0.000 |
| 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".