Dopamine pathway imbalance in mice lacking Magel2, a Prader-Willi syndrome candidate gene.
Bibliographic record
Abstract
The etiology of abnormal eating behaviors, including binge-eating disorder, is poorly understood. The neural circuits modulating the activities of the neurotransmitters dopamine and serotonin are proposed to be dysfunctional in individuals suffering from eating disorders. Prader-Willi syndrome is a neurodevelopmental disorder that causes extreme food seeking and binge-eating behaviors together with reduced satiety. One of the genes implicated in Prader-Willi syndrome, Magel2, is highly expressed in the regions of the brain that control appetite. Our objective was to examine behaviors relevant to feeding and the neural circuits controlling feeding in a mouse model of Prader-Willi syndrome that lacks expression of the Magel2 gene. We performed behavioral tests related to dopaminergic function, measuring cocaine-induced hyperlocomotion, binge eating, and saccharin-induced anhedonia in Magel2-deficient mice. Next, we analyzed dopaminergic neurons in various brain regions and compared these findings between genotypes. Finally, we examined biochemical markers in the brain under standard diet, high-fat diet, and withdrawal from a high-fat diet conditions. We identified abnormal behaviors and biomarkers reflecting dopaminergic dysfunction in mice lacking Magel2. Our results provide a biological framework for clinical studies of dopaminergic function in children with Prader-Willi syndrome, and may also provide insight into binge-eating disorders that occur in the general population. (PsycINFO Database Record
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".