Mice with selective elimination of striatal acetylcholine release are lean, show altered energy homeostasis and changed sleep/wake cycle
Bibliographic record
Abstract
Cholinergic neurons are known to regulate striatal circuits; however, striatal-dependent physiological outcomes influenced by acetylcholine (ACh) are still poorly under;?>stood. Here, we used vesicular acetylcholine transporter (VAChT)(D2-Cre-flox/flox) mice, in which we selectively ablated the vesicular acetylcholine transporter in the striatum to dissect the specific roles of striatal ACh in metabolic homeostasis. We report that VAChT(D) (2-Cre-flox/flox) mice are lean at a young age and maintain this lean phenotype with time. The reduced body weight observed in these mutant mice is not attributable to reduced food intake or to a decrease in growth rate. In addition, changed activity could not completely explain the lean phenotype, as only young VAChT(D) (2-Cre-flox/flox) mice showed increased physical activity. Interestingly, VAChT(D) (2-Cre-flox/flox) mice show several metabolic changes, including increased plasma levels of insulin and leptin. They also show increased periods of wakefulness when compared with littermate controls. Taken together, our data suggest that striatal ACh has an important role in the modulation of metabolism and highlight the importance of striatum cholinergic tone in the regulation of energy expenditure. These new insights on how cholinergic neurons influence homeostasis open new avenues for the search of drug targets to treat obesity.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".