Differential responses of circulating amylin to high‐fat <i> vs.</i> high‐carbohydrate meal in healthy men
Bibliographic record
Abstract
OBJECTIVE: The success of an amylin analogue in weight loss trials has generated interest in amylin as a physiological satiety signal. Little is known about how plasma amylin responds to macronutrients. This study examined the effects of a high-carbohydrate meal (CHO), a high-fat meal (FAT) or a continued fast (FAST) on amylin concentrations and correlations among other satiety hormones and measures of appetite. DESIGN/PATIENTS: In a randomized, crossover design, 10 healthy males consumed a meal high in carbohydrate or fat or continued fasted. MEASUREMENTS: Blood samples and subjective hunger scores were obtained at baseline and 30, 90 and 210 min postprandial. RESULTS: After CHO, amylin, insulin and C-peptide were greater and des-acyl ghrelin lower compared to FAT (P < 0.001). Area under the curve (AUC) was greater for amylin and insulin and lower for des-acyl ghrelin following CHO. Subjective satiety and fullness were higher for CHO and FAT than FAST at 30 and 90 min but only for CHO at 210 min (P < 0.01). Hunger and desire to eat were lower for CHO and FAT than FAST at 30 and 90 min but only for CHO at 210 min (P < 0.005). Amylin was negatively correlated to hunger, desire to eat, and nausea and positively related to satiety and insulin. Des-acyl ghrelin was negatively associated with C-peptide, insulin and GLP-1 and satiety. CONCLUSIONS: CHO enhances amylin and suppresses des-acyl ghrelin to a greater extent than FAT in healthy men. The mechanisms responsible for these changes and their implications in the physiology of satiety remain to be elucidated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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".