Effects of high oleic canola oil‐rich feeding on in vitro LDL proteoglycan binding affinity in individuals with at least two criteria for metabolic syndrome (269.5)
Bibliographic record
Abstract
Dietary n‐9 monounsaturated fatty acids (FA) decrease metabolic syndrome (MetS) risk factors; however, whether consumption of novel vegetable oils high in MUFA affect LDL binding characteristics has not been determined. We utilized the Canola Oil Multi‐Centre Intervention Trial (COMIT), a human intervention study consisting of five dietary treatments differing in qualitative fat content, each treatment fed for 29 days and separated by a 4 week washout period. We evaluated the efficacy of three vegetable oil treatments from COMIT including corn/safflower oil (control), high oleic canola oil, and high oleic canola oil with DHA on plasma FA profiles, LDL cholesterol ester FA composition and in vitro LDL proteoglycan binding affinity. A multi‐centre, double blind, randomized, 3‐period crossover, controlled feeding study was conducted where subjects with MetS criteria (n=50) were fed isocaloric diets (50% CHO, 15% PRO, 35% FAT) containing three of the five treatments, each for 29 days. Plasma FA profiles at day 29 reflected the FA composition of each diet, suggesting high compliance to diet. Similarly, LDL cholesterol ester FA distribution mirrored the FA composition of the dietary fat at day 29, but not day 1, on each treatment. However, proteoglycan binding affinity values of LDL particles did not differ significantly across day 1 to day 29 for corn/safflower (‐2.46 + 3.63%) (mean + SEM), high oleic canola (‐6.47 + 1.95%) or oleic canola oil with DHA (‐0.52 + 2.85%). No difference was observed in binding affinity assessed at day 29 as a function of diet treatment. These data suggest that, despite the demonstration of diet induced shifts in LDL cholesterol ester FA patterns, n‐9 FA rich canola oil diets does not induce any change in LDL binding affinity compared with a n‐6 FA rich diet. Grant Funding Source : Supported by Canola Council of Canada/Agr Agr Food Canada and Canada Research Chairs program
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 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".