Abstract P354: Impact of a Single Mixed Mediterranean-type Meal Compared to a High-Saturated Fat Meal on Postprandial Endothelial Function and Metabolic Markers
Bibliographic record
Abstract
Background: Endothelial dysfunction is considered to be a precursor of atherosclerosis and is an independent predictor of cardiovascular events. A high-saturated fat meal (HFM) has been shown to induce postprandial endothelial dysfunction. However, no studies have evaluated the acute endothelial effect of a single mixed Mediterranean-type meal (MMM). Our objective was to evaluate postprandial endothelial and metabolic function in response to a MMM in comparison to an isocaloric HFM. Methods: In this ongoing crossover study, 22 of 28 healthy non-smoking males have completed the research protocol. In random order on two separate days during a 1-week interval, subjects were fed two isocaloric meals after a 12-hour overnight fast. The MMM (885 kcal) consisted of fresh salmon, almonds and vegetables baked in olive oil providing 51% of total calories from fat (7.87g SFA and 2.29g of omega-3, 2:1 DHA:EPA). The HFM consisted of a McDonald's sausage, egg and cheese McMuffin and three hashbrowns (858 kcal) providing 58% of total energy from fat (14.78g SFA and no omega-3). Endothelial function was evaluated by measuring brachial artery flow-mediated dilation (%FMD) at baseline and at two (T2) and four (T4) hours postprandial. Results: Mean postprandial %FMD tends to be less impaired following the MMM than the HFM (variation at T4 -0.15±3.6% vs -2.83±3.3% respectively, p<0.1). Postprandial insulin response was less important following the MMM than the HFM (at T2 72.42±94.8% vs 253.89±291.5% respectively, p≤0.1). Postprandial variations of TG and TG/HDL ratio at T4 were also less severe with the MMM than the HFM (p≤0.05). When dividing the subjects on the basis of the median fasting TG levels (0.90 mmol/L), the HFM led to a more severe endothelial impairment in subjects with high (variation in %FMD at T4 -4.36±2.9% p<0.005) vs low fasting TG levels (variation in %FMD at T4 -0.965±2.99%, ns). Conclusion: Our data suggest that a single MMM exerts less of a deleterious effect on postprandial endothelial function and metabolic markers than does a HFM. A single MMM could thus be less atherogenic than a HFM. Moreover, subjects with moderate fasting TG levels (avg. 1.54±0.59 mmol/L, well bellow hypertriglyceridemia threshold) could be at higher risk of endothelial injury following a single HFM. Data on all 28 subjects will be available in March 2012.
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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) | 0.007 | 0.001 |
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".