Nesfatin‐1 does not influence intracellular calcium concentrations in neurons of the nucleus of the solitary tract or the paraventricular nucleus
Bibliographic record
Abstract
Nesfatin‐1 (nes‐1) is a neuropeptide which exerts potent effects on food intake, cardiovascular parameters, and the stress axis. Immunohistochemical studies have shown expression of nes‐1 in the nucleus of the solitary tract (NTS) and paraventricular nucleus (PVN). To date there is minimal data describing the mechanism of action of nes‐1 in the brain. Using whole cell patch clamp recordings, we have previously shown bath applied nes‐1(10 nM) influences the membrane potential of 63% of NTS and 71% of PVN neurons. Here, as a first step in investigating the mechanism of nes‐1 actions, we examined the effect of nes‐1 on intracellular Ca 2+ concentrations ([Ca 2+ ] i ) in dissociated NTS and PVN neurons loaded with the Ca 2+ indicator Fura2‐AM. Bath application of nes‐ 1 at 10 and 100 nM increased [Ca 2+ ] i in 4% ( n =75) and 3% ( n =84) of NTS neurons, respectively, as assessed by a minimum 20% increase in the ratiometric value of [Ca 2+ ] i . Furthermore, 9% ( n =125) of PVN neurons showed an increase in [Ca 2+ ] i in response to 10 nM nes‐1. Our findings show nes‐1 does not influence [Ca 2+ ] i in NTS or PVN neurons. A large discrepancy also exists in the proportion of neurons reported as responsive to nes‐1 in our electrophysiological vs calcium imaging experiments, suggesting studies of nes‐1 effects on [Ca 2+ ] i may not be an appropriate method of evaluating neuronal nes‐1 activation patterns or mechanisms of action. Funding: NSERC, FQRNT, HSFO.
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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 | 0.001 |
| 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".