Effects of Two Hypocaloric Diets Supplemented With White Lupine or Oats on Lipid Peroxidation, Reverse Cholesterol Transport and Paraoxonase Activity in Obese Rat
Bibliographic record
Abstract
<p>The purpose of this study was to compare the effects of two hypocaloric diets supplemented with legume or cereal on hyperglycemia, dyslipidemia, serum HDL<sub>2</sub> and HDL<sub>3</sub> composition, lipid peroxidation, and lecithin-cholesterol acyltransferase (LCAT) and paraoxonase (PON1) activities in obese rats. Obesity was induced by feeding a high-fat-diet during 3 months. At 400 ± 20 g, the obese rats were divided into three groups (n = 8): two groups were submitted for 28 days to a caloric restriction (CR) at 0.9 MJ supplemented with lupine (CR–Lupine group) or oats (CR–Oats group). The third group was fed a caloric restricted diet without supplementation (CR group). At day 28, glycemia was lower (-21%) in the CR–Oats than the CR group. CR–Oats diet reduced total cholesterol content (-13%) when compared to lupine supplementation. In contrast, CR–Lupine diet decreased serum triacylglycerols by 22% and 15% respectively <em>versus</em> CR–Oats and CR diets. Lipoproteins lipid peroxidation was significantly lower in CR–Lupine and CR–Oats when compared to the CR diet. Serum PON1 activity was increased in CR–Lupine (+88%) and CR–Oats (+82%) groups compared to CR group. Furthermore, LCAT activity was enhanced in CR– Lupine (+23% and +26%, respectively) <em>versus</em> CR and CR–Oats groups. In obese rats, caloric restriction supplemented with lupine compared to oats supplementation has beneficial effect on hypertriglyceridemia and improves reverse cholesterol transport by enhancing LCAT activity leading to anti–atherogenic effects. This effect is partially reinforced by the high HDL PON1 activity which protects it from oxidation.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".