Nesfatin‐1 Alters Synaptic Activity in Neurons in the Nucleus of the Solitary Tract
Bibliographic record
Abstract
Nesfatin‐1 (nes‐1) is a recently discovered neuropeptide that decreases food intake and is expressed in the medullary nucleus of the solitary tract (NTS). In order to begin elucidating the mechanisms of nes‐1 actions, we studied the effect of nes‐1 on synaptic activity in NTS neurons using whole‐cell voltage clamp recordings. Bath applied nes‐1 (10nM) did not influence the frequency (freq, 157±49 vs 163±48 events/100s, p=0.85) nor amplitude (amp, 29±4 vs 51±13 pA, p=0.11) of EPSCs recorded from rat medial NTS neurons (n=8) in slice. Nes‐1 did, however, induce an increase in freq (144±45 vs 224±53 events/100s, p=0.03) and amp (57±9 vs 74±12 pA, p=0.02) of IPSCs in 8/9 cells. We next used tetrodotoxin to study spontaneous miniature EPSCs and IPSCs. 10nM nes‐1 did not affect freq (305±68 vs 275±45 events/100s, p=0.37) nor amp (30±2 vs 34±4 pA, p=0.25) of mEPSCs (n=7). Neither the freq (335±102 vs 385±90 events/100s, p=0.41) nor amp (85±12 vs 92±12 pA, p=0.31) of mIPSCs was affected (n=9) by nes‐1. Our findings identify NTS as a site where nes‐1 acts to selectively enhance GABAergic tone and increase inhibitory synaptic events to potentially modify food intake. Research support: NSERC, FQRNT, CIHR.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".