Ghrelin Attenuates the Inhibitory Effects of Glucagon-Like Peptide-1 and Peptide YY(3-36) on Food Intake and Gastric Emptying in Rats
Bibliographic record
Abstract
Ghrelin stimulates, while glucagon-like peptide-1 (GLP-1) and peptide YY(3-36) [PYY(3-36)] inhibit, food intake and gastric emptying in rats. We determined the dose-dependent effects of a 3-h intravenous infusion of ghrelin at dark onset on food intake in freely feeding rats, and on the inhibitory effects of intravenous infusion of GLP-1 and PYY(3-36) on food intake and gastric emptying. Ghrelin (150 pmol x kg(-1) x min(-1)) stimulated food intake by 28% during the infusion period primarily by increasing meal frequency; doses of 15 and 50 pmol x kg(-1) x min(-1) had no effect. GLP-1 (15 pmol x kg(-1) x min(-1)) inhibited food intake by 35-54%; coinfusion of ghrelin at 50 and 150 pmol x kg(-1) x min(-1) attenuated this effect by 60 and 64%, respectively. PYY(3-36) (15 pmol x kg(-1) x min(-1)) inhibited food intake by 32%; ghrelin at 15 and 50 pmol x kg(-1) x min(-1) attenuated this effect by 54 and 74%, respectively. A 20-min intravenous infusion of ghrelin (15-150 pmol x kg(-1) x min(-1)) attenuated GLP-1-and PYY(3-36)-induced inhibition of gastric emptying of saline by 6-29%. Thus, intravenous infusion of ghrelin during the early dark period stimulates food intake in freely feeding rats by increasing meal frequency, and similar doses of ghrelin attenuate gastric emptying and feeding responses to GLP-1 and PYY(3-36). These results suggest that ghrelin may stimulate food intake in part by attenuating the inhibitory effects of GLP-1 and PYY(3-36) on gastric emptying and food intake.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.000 |
| 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".