Peptide YY Mediates the Satiety Effects of the Short Chain Fatty Acid – Butyrate (P08-004-19)
Bibliographic record
Abstract
Fermentation of fiber in the gut generates short-chain fatty acids (SCFA), such as butyrate, which decrease food intake and promote weight loss in rodent models. SCFA have been shown to enhance secretion of the gut satiety hormone peptide YY (PYY). However, it is unknown whether PYY is causative to SCFA-induced changes in energy balance. Our Objectives were to determine the dose-response effects of butyrate on energy balance, and assess whether PYY signaling is essential for mediating the satiety effects of butyrate. Male Sprague Dawley rats (8 wks old, n = 39) were randomized to one of three isocaloric (4.63 kcal/g) diets: 1) control (0% sodium butyrate, n = 14), 2) 5% sodium butyrate (n = 13), or 3) 10% sodium butyrate (n = 12), and followed for upto 4 weeks. A PYY Y-2 receptor antagonist (BIIE0246) or vehicle were administered IP acutely during the study. Measurements included food intake, respiratory quotient, and energy expenditure (CLAMS®), and body composition (Minispec LF110 NMR). Compared to control, 10% sodium butyrate decreased food intake and respiratory quotient for 4 days, whereas, 5% sodium butyrate was ineffective. Notably, compared to control, 10% sodium butyrate decreased body weight and fat gain without changing energy expenditure. Importantly, systemic Y-2 receptor blockade stimulated food intake and increased respiratory quotient, without altering energy expenditure, only in 10% sodium butyrate group. We found that dietary butyrate dose-dependently decreases food intake and respiratory quotient. Importantly, Y-2 receptor blockade attenuated butyrate-induced hypophagia, which supports a role for endogenous PYY in the satiety effects of dietary butyrate. NSERC, Heart and Stroke Foundation of Canada.
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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) | 0.001 | 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 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".