Sugar Cane Policosanols do not Reduce LDL Oxidation in Hypercholesterolemic Individuals
Bibliographic record
Abstract
Sugar cane policosanols (SCP) have been shown to exert antioxidant properties in various studies conducted in Cuba. Independent studies have since reported no significant effect of SCP consumption on oxidized LDL levels. The objective of the present study was to confirm the effects of Cuban SCP on LDL oxidation using a high-precision capture ELISA procedure in hypercholesterolemic individuals. Twenty-one otherwise healthy hypercholesterolemic men and post-menopausal women participated in a randomized double blind crossover study where they received 10 mg/day of policosanol or a placebo incorporated in margarine as an evening snack for a period of 28 days. Subjects maintained their usual dietary and exercise habits throughout the duration of the study. Blood was collected on the first as well as the last 2 days of the trial. LDL oxidation was measured from plasma using a solid phase two-site enzyme immunoassay. A lack of effect of SCP was observed on LDL cholesterol levels, as well as no difference in LDL oxidation between the SCP treatment and placebo at the end of the intervention period. Subject body weights remained stable throughout the study and showed no significant correlation with LDL oxidation levels. Absolute levels of plasma LDL cholesterol were significantly (P < 0.05) correlated with plasma concentrations of oxidized LDL. The findings of the present study suggest that SCP do not significantly affect LDL oxidation. Our results align with results of recent policosanol research questioning the efficacy of these natural extracts as cardio-protective agents.
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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".