Acute effect of pistachios on postprandial endothelial function: Influence of fat quantity and quality
Bibliographic record
Abstract
Previous studies have shown that saturated fat and refined carbohydrates (CHO) acutely impair endothelial function, while unsaturated fats appear to exert a neutral effect. The purpose of this study was to examine endothelial function after meals differing in fat and CHO content. We assessed endothelial function in 20 adults with metabolic syndrome before and after each of the following meals: pistachios alone, pistachios plus white bread, white bread alone (12 and 50 g available CHO), and white bread plus cheese and butter. Endothelial function was assessed via pulse wave amplitude (EndoPAT) and reported as reactive hyperemia index (RHI). Fasting RHI did not differ among treatments, and the primary analysis examined change in RHI from fasting up to 3 hours postprandially. RHI was differentially affected by the meals (p=0.01). RHI decreased after the white bread plus cheese and butter meal (−0.09±0.09) and increased after the white bread only meals (0.17±0.09 and 0.15±0.09 for white bread 12g and 50g, respectively); this differential response was statistically significant (Tukey p<0.05). An intermediate change in RHI was observed after the pistachio meals (0.05±0.09 and −0.03±0.09 for pistachio and pistachio plus white bread, respectively). These results provide further evidence that endothelial function is differentially affected by type and quantity of dietary fat. Funding: American Pistachio Growers
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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 | 0.001 |
| 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".