Effect of Solanum Sessiliflorum Dunal (Maná-cubiu) Extract in Diet-induced Metabolic Syndrome in Rats
Bibliographic record
Abstract
Obesity is a multifactorial disease, defined by the excessive accumulation of body fat, causing negative consequences for health. Metabolic syndrome (MS) is characterized by the association between abdominal obesity, insulin resistance, hypertension, and hyperlipidemia. Experimental models are essential to elucidate the pathophysiology, development, and treatment of the disease. The objective of the study was to evaluate the effects of maná-cubiu extract (Solanum sessiliflorum Dunal) in experimental models of diet-induced MS. Male Wistar rats received a high-fat, high-calorie diet for 24 weeks, with exception of the healthy control group, which received commercial AIN-93 chow, and both groups were supplied with filtered water. After this period, the animals began to receive daily gavages containing 150 mg of extract/kg or 300 mg of extract/kg for another 8 weeks. The control group received only metformin (150mg/kg). Body weight, bioelectrical impedance (BIA), body circumferences and the Lee index were used to assess body composition. The study was approved by the Ethics Committee under protocol nº 501. The experimental group treated with 150mg/kg of the extract showed weight reduction in the first month of treatment, followed by an average reduction of 54 grams per animal. The group treated with 300mg/kg of the extract suffered weight reduction only after the second month of treatment (on average 9g/animal). This same group and the group treated with metformin were the only ones to reduce the percentage of body fat, comparing the two evaluation moments. The results suggest that maná-cubiu has a potential therapeutic use in obesity, and that the evaluation methods in animal models need to be better standardized.
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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 | 0.007 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".