Peripheral Exendin-4 and Peptide YY3–36 Synergistically Reduce Food Intake through Different Mechanisms in Mice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Glucagon-like peptide-1(7-36NH2) (GLP-1) and peptide YY(3-36NH2) (PYY(3-36NH2)) are cosecreted from the intestine in response to nutrient ingestion. Peripheral administration of GLP-1 or PYY(3-36NH2) decreases food intake (FI) in rodents and humans; however, the exact mechanisms by which these peptides regulate FI remain unclear. Male C57BL/6 mice were injected (ip) with exendin-4(1-39) (Ex4, a GLP-1 receptor agonist) and/or PYY(3-36NH2) (0.03-3 microg), and FI was determined for up to 24 h. Ex4 and PYY(3-36NH2) alone decreased FI by up to 83 and 26%, respectively (P < 0.05-0.001), whereas a combination of the two peptides (0.06 microg Ex4 plus 3 microg PYY(3-36NH2)) further reduced FI for up to 8 h in a synergistic manner (P < 0.05-0.001). Ex4 and/or PYY(3-36NH2) delayed gastric emptying by a maximum of 19% (P < 0.01-0.001); however, there was no significant effect on locomotor activity nor was there induction of taste aversion. Capsaicin pretreatment prevented the inhibitory effect of Ex4 on FI (P < 0.05), but had no effect on the anorexigenic actions of PYY(3-36NH2). Similarly, exendin-4(9-39) (a GLP-1 receptor antagonist) partially abolished Ex4-induced anorexia (P < 0.05), but did not affect the satiation produced by PYY(3-36NH2). Conversely, BIIE0246 (a Y2 receptor antagonist) completely blocked the anorexigenic effects of PYY(3-36NH2) (P < 0.001), but had no effect on Ex4-induced satiety. Thus, Ex4 and PYY(3-36NH2) suppress FI via independent mechanisms involving a GLP-1 receptor-dependent, sensory afferent pathway (Ex4) and a Y2-receptor mediated pathway (PYY(3-36NH2)). These findings suggest that administration of low doses of Ex4 together with PYY(3-36NH2) may increase the suppression of FI without inducing significant side effects.
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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 it