Hydrogen sulfide decreases a slow rectifying potassium conductance in nucleus tractus solitarius neurons (1129.4)
Bibliographic record
Abstract
Hydrogen Sulfide (H 2 S) is an endogenously produced gasotransmitter which has been shown to play a role within the central nervous system. Prior studies have shown that H 2 S has presynaptic effects on neurons of the nucleus tractus solitarius (NTS) through modulation of glutamate transmission. We have also recently demonstrated postsynaptic effects of H 2 S on the membrane potential of NTS neurons. The current study was undertaken to investigate the ion channels in NTS neurons modulated by H 2 S. Using whole cell voltage‐clamp recordings we found that H 2 S causes a decrease in current evoked in the depolarizing range of a slow voltage ramp indicative of modulation of the voltage activated potassium conductance I K . This conductance was found to decrease by a mean of 20.2 ± 2.5% (n=11) at the end of the ramp (10 mV) following application of 10 mM NaHS, a H 2 S donor, with all 11 neurons influenced in a similar manner. All cells demonstrated a partial to full recovery of this conductance after wash off of NaHS. The present work suggests that H 2 S controls the excitability of NTS neurons, at least in part through the modulation of the delayed rectifier potassium conductance, I K . Grant Funding Source : This work was supported by the 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 | 0.000 |
| 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".