Antihyperlipidaemic and Antioxidant Potential of Fermented Citrullus vulgaris Seeds (Thunb.) on Tyloxapol-induced Hyperlipidaemic Rats: A Comparison With Fluvastatin
Bibliographic record
Abstract
Globally fermented foods form an integral part of the staple diet of people. Fermented Citrullus vulgaris (FCV) (ogiri) seeds is a nutritious natural fermented condiment that features frequently in West African diets as a spice. This study investigated the antihyperlipidaemic potential of this condiment in tyloxapol-induced hyperlipidaemic rats with reference to that of fluvastatin, a standard antilipidaemic drug. The antioxidant potential of the condiment was also examined using different relevant in vitro assays. Albino rats were divided into six groups (n=5), based on the diet and treatment received. The groups were standard feed (control); FCV supplemented feed; standard feed with tyloxapol administered at the end of the experimental period (tyloxapol control); FCV supplemented feed and tyloxapol at the end of the experimental period; standard feed with fluvastatin sodium (40 mg/kg and 80 mg/kg body weight separately) followed by tyloxapol. The results revealed that administration of tyloxapol induced significant (p < 0.05) increase in total-cholesterol (TC), low density lipoprotein cholesterol (LDL-C) and triglyceride (TG). These lipid increases were significantly mitigated in groups initially pre-fed with supplemented FCV feed. Plasma TC decreased by 69.38% (p < 0.05); TG by 80.58% (p < 0.05); LDL-C by 7.80% (p < 0.05) and high density lipoprotein cholesterol (HDL-C) levels increased by 78.61% (p < 0.05). FCV showed appreciable antioxidant activities in vitro in a dose dependent manner. Histomorphological examination of the liver suggested that the FCV possessed hepatoprotective potential. These results suggest that FCV consumption may be a possible dietary measure for the control of dyslipidaemia.
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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 | 0.001 |
| 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".