Orexigenic effect of the melanocortin MC<sub>4</sub>receptor antagonist HS014 is inhibited only partially by neuropeptide Y Y<sub>1</sub>receptor selective antagonists
Bibliographic record
Abstract
Neuropeptide Y (NPY) and melanocortin (MC) peptides have opposite effects on food intake: NPY-like peptides and MC receptor antagonists stimulate feeding and increase body weight, whereas melanocortins and NPY antagonists inhibit food intake. In this study we tested whether the orexigenic effect of the selective MC4 receptor antagonist HS014 (1 nmol) could be inhibited by three different NPY antagonists, (R)-N2-(diphenylacetyl)-N-[(4-hydroxy-phenyl)methyl]D-argininam ide (BIBP3226), (R)-N-[[4-(aminocarbonylaminomethyl)-phenyl]methyl]-N2(diphenyl acetyl)-argininamidetrifluoroacetate (BIBO3304), and decapeptide [D-Tyr(27,36)D-Thr32]NPY(27-36), after icv administration in freely feeding male rats. All three NPY receptor antagonists inhibited the orexigenic effects of HS014 partially and with markedly different potency. [D-Tyr(27,36)D-Thr32]NPY(27-36) was active only in subconvulsive dose. The NPY Y1 selective antagonist BIBP3226 was more effective in inhibiting the effect of HS014 than BIBO3304 despite in vitro data indicating that BIBP3226 is about 10 times less potent than BIBO3304 at NPY Y1 receptor. An enantiomer of BIBO3304, BIBO3457, failed to inhibit HS014-induced feeding, indicating that the effects of BIBO3304 were stereoselective. These results suggest that stimulation of food intake caused by weakening of melanocortinergic tone at the MC4 receptor is partially but not exclusively related to NPY Y1 receptor activation.
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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 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".