Nesfatin‐1 influences the excitability of subfornical organ neurons through actions on the Ik conductance (1129.2)
Bibliographic record
Abstract
Nesfatin‐1 is produced in several brain areas involved in metabolic processes and has been implicated in the control of ingestive behaviors and cardiovascular function. In this study, we confirm the presence of mRNA for the nucleobindin‐2 gene in the subfornical organ (SFO). We used whole‐cell patch clamp recordings in current clamp configuration to investigate the influence of nesfatin‐1 on the membrane potential of dissociated SFO neurons. We found that 80.3% (49 of 61) of neurons tested showed a response to nesfatin‐1 (100 nM, 10 nM and 1 nM) with 47.5% depolarising and 32.8% hyperpolarising. We then used voltage clamp configuration to investigate the conductances through which nesfatin‐1 may act to change the membrane potential of SFO neurons. Voltage clamp ramp and step protocols revealed a nesfatin‐1 induced enhancement of the delayed rectifier potassium conductance, I K . Pharmacological blockade of this conductance using tetraethyl ammonium chloride (TEA) greatly reduced the magnitude and occurrence of the observed hyperpolarisations, which implies that nesfatin‐1 induced hyperpolarisations are mediated through I K . This study has demonstrated that nesfatin‐1 has the ability to influence the membrane potential of SFO neurons by enhancing the I K conductance, and thus has identified the SFO as a potential site at which nesfatin‐1 may act to regulate ingestive behaviour and cardiovascular control. Grant Funding Source : Canadian Institutes for Health Research
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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".