<i>Magel2</i>‐null mice are hyper‐responsive to setmelanotide, a melanocortin 4 receptor agonist
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: α- and β-melanocyte-stimulating hormones (MSH) are derived from pro-opiomelanocortin (POMC) and are the natural agonist ligands of the melanocortin 4 receptor, a key regulator of energy homeostasis. Recent rodent and human data have implicated the MAGEL2 gene, which may regulate activation of POMC neurons, as a significant contributor to the metabolic symptoms observed in Prader-Willi Syndrome (PWS). Firstly, patients with protein truncating mutations in MAGEL2 exhibit numerous clinical characteristics of PWS. Secondly, Magel2-null mice may not normally activate MC4 receptors, as they are defective in the activation of their POMC neurons and hence may fail to normally release the POMC-derived MC4 receptor agonist ligands α- and β-MSH. Magel2-null mice represent a tractable animal model for the metabolic and appetitive imbalance seen in patients with PWS. EXPERIMENTAL APPROACH: We tested a dose titration of the MC4 receptor agonist setmelanotide, in development for rare monogenic forms of obesity, in Magel2-null mice. KEY RESULTS: We show that Magel2-null mice are hypersensitive to the appetite suppressing and metabolic effects of setmelanotide. CONCLUSION AND IMPLICATIONS: Setmelanotide may be a useful investigational hormone/neuropeptide replacement therapy for PWS and rare monogenic forms of obesity exhibiting impaired function of POMC neurons.
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 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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".