Nesfatin‐1 Influences the Excitability of Neurons in the Nucleus of the Solitary Tract
Bibliographic record
Abstract
Nesfatin‐1 is a recently discovered neuropeptide that has been shown to decrease food intake in animals when injected both intracerebroventricularly and peripherally. In situ hybridization and immunohistochemical studies have revealed the expression of nesfatin‐1 throughout the brain and, in particular, in the nucleus of the solitary tract (NTS), a medullary structure with important roles in the regulation of feeding. In order to shed light on the mechanisms by which nesfatin‐1 exerts its satiety‐promoting actions, this study examined the effect of nesfatin‐1 on the excitability of NTS neurons. Whole‐cell current clamp recordings from rat NTS neurons in slice preparation were performed and the effects of bath application of nesfatin‐1 (10nM) on membrane potential examined. Of 14 cells tested, 43% (6/14) were influenced by nesfatin‐1. Depolarizing effects were seen in 50% of responsive cells (mean depolarization = 5.1 ± 1.4 mV, n=3) while the remaining 50% of cells hyperpolarized (mean hyperpolarization = −8.6 ± 0.9 mV, n=3) in response to nesfatin‐1. These findings identify the NTS as a potential site at which nesfatin‐1 acts to influence central control of food intake. Research support provided by NSERC, CIHR, and HSFC.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".