Phenolic-rich jaboticaba ( Plinia jaboticaba (Vell.) Berg) extracts prevent high-fat-sucrose diet-induced obesity in C57BL/6 mice
Bibliographic record
Abstract
Obesity has been strongly associated to noncommunicable chronic diseases, and dietary phenolic compounds with reducing the risk of development of these diseases. Sabara jaboticaba (Plinia jaboticaba) is an Atlantic Forest native fruit, rich in phenolic compounds, such as ellagitannins proanthocyanidins and anthocyanins. We investigated whether phenolic-rich Sabara jaboticaba extracts (PRJE), with low (LT) or high (HT) tannin concentration can protect C57BL/6 mice from obesity, hyperglycemia, insulin resistance and dyslipidemia induced by high-fat-sucrose diet. Both PRJE, especially the HT extract, prevented the body weight gain while avoiding the white adipose tissues overgrowth. In addition, prevented high fasting blood glucose concentrations and attenuated the hyperinsulinemia. Furthermore, the HT extract prevented high total cholesterol levels. Taken together, our findings confirm that phenolic compounds from Sabara jaboticaba have antiobesity properties and that the tannins play a decisive role in these effects.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".