Effects of Baru Almond and Brazil Nut Against Hyperlipidemia and Oxidative Stress In Vivo
Bibliographic record
Abstract
This study evaluated the effect of baru (Dipteryx alata Vog.) almond, an edible seed native from Brazilian Savanna, and Brazil nut (Bertholletia excelsa H. B. K.) on serum lipid profile and hepatic lipid peroxidation in rats fed high-fat diets. Four groups of eight young adult male Wistar rats were treated for nine weeks with one of the following diets: high-fat diets - 0.1% colic acid + 1% cholesterol + 5% lard + 15% of lipid from lard, baru almond or Brazil nut - and reference diet (7% soybean oil). Groups fed with baru almond and Brazil nut showed lower serum contents of total cholesterol and triacylglycerols than those of lard group. Baru almond group also showed higher HDL-c concentration than those of Brazil nut and lard groups, similar to that of reference group. Lipid peroxidation (through total malondialdehyde) was lower and vitamin E content was higher in the livers of the animals treated with baru almond and Brazil nut than those of lard group. These results indicate that the Brazilian native oilseeds, especially baru almond, have great potential for dietary use in dyslipidemia prevention and control.
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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 | 0.000 |
| 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".