Comparative effects of piperine and simvastatin in fat accumulation and antioxidative status in high fat-induced hyperlipidemic rats
Bibliographic record
Abstract
The present study investigated the comparative effects of piperine (PIP) - the active ingredient of black and long peppers - and simvastatin (SIM) on hepatic steatosis in hyperlipidemic rats. Male Wistar rats were fed a cholesterol mixture daily by intragastric gavage for 8 weeks. Piperine was given by oral gavage 8 h after cholesterol feeding. The animals were divided into 4 groups: control, high fat (HF), high fat plus 40 mg PIP/kg, and high fat plus 2 mg SIM/kg. At the end of the treatment, liver cholesterol, triglyceride, thiobaribituric reacting substances, superoxide dismutase (SOD), serum aminotransferase (AST), and alanine transferase (ALT) were measured. The result demonstrated that PIP and SIM significantly reduced the accumulation of cholesterol, triglyceride, and lipid peroxidation in the liver, while elevation of SOD was observed. The activities of AST and ALT significantly decreased in PIP when compared with the HF group. Our in vitro study of pancreatic lipase also showed the inhibitory effect of PIP higher than 30% at 5 mmol/L. These results demonstrate that PIP has beneficial effects in the treatment and (or) prevention of fat accumulation in the liver and that this mechanism is due to the inhibition of pancreatic lipase and the improvement of oxidative status.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".