State-dependent central synaptic regulation by GLP-1 is essential for energy homeostasis
Bibliographic record
Abstract
Central glucagon-like peptide-1 (GLP-1), secreted by a distinct population of nucleus tractus solitarius neurons, suppresses feeding but the exact mechanisms of action in the brain remain unclear. Here, we investigate a descending circuit formed by GLP-1 receptor (GLP-1R) neurons in the paraventricular hypothalamic nucleus (PVNGLP-1R) projecting to the dorsal vagal complex (DVC) of the brain stem in mice. PVNGLP-1R→DVC synapses release glutamate and are augmented by GLP-1. Chemogenetic activation of PVNGLP-1R→DVC suppresses feeding. Under an energy deficit (that is, hunger) state, synaptic strength is weaker but is more profoundly augmented by GLP-1R activation than under energy-replete state. In an obese condition, the dynamic synaptic changes in this circuit are disrupted. Optogenetic activation of PVNGLP-1R→DVC projections suppresses food intake energy state dependently, and blocking its synaptic release or ablating GLP-1Rs in the presynaptic neurons impairs metabolic health. These findings indicate that the state-dependent synaptic regulation by GLP-1 in PVNGLP-1R→DVC descending circuit is important for energy homeostasis. In this paper, the authors describe the energy state-dependent regulation of the PVNGLP-1R to DVC circuit, resulting in altered food intake and metabolic health, mediated by GLP-1 receptor signalling.
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How this classification was reachedexpand
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) | 0.001 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".