Remodeling of the arcuate nucleus energy-balance circuit is inhibited in obese mice
Bibliographic record
Abstract
In the CNS, the hypothalamic arcuate nucleus (ARN) energy-balance circuit plays a key role in regulating body weight. Recent studies have shown that neurogenesis occurs in the adult hypothalamus, revealing that the ARN energy-balance circuit is more plastic than originally believed. Changes in diet result in altered gene expression and neuronal activity in the ARN, some of which may reflect hypothalamic plasticity. To explore this possibility, we examined the turnover of hypothalamic neurons in mice with obesity secondary to either high-fat diet (HFD) consumption or leptin deficiency. We found substantial turnover of neurons in the ARN that resulted in ongoing cellular remodeling. Feeding mice HFD suppressed neurogenesis, as demonstrated by the observation that these mice both generated fewer new neurons and retained more old neurons. This suppression of neuronal turnover was associated with increased apoptosis of newborn neurons. Leptin-deficient mice also generated fewer new neurons, an observation that was explained in part by a loss of hypothalamic neural stem cells. These data demonstrate that there is substantial postnatal turnover of the arcuate neuronal circuitry in the mouse and reveal the unexpected capacity of diet and leptin deficiency to inhibit this neuronal remodeling. This insight has important implications for our understanding of nutritional regulation of energy balance and brain function.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".