Hydrogen Sulphide Influences the Excitability of Neurons in the Paraventricular Nucleus of the Hypothalamus
Bibliographic record
Abstract
Hydrogen sulphide (H2S) has been observed as having a protective role against gastro‐intestinal inflammation. H2S‐catalyzing enzymes are expressed in the paraventricular nucleus of the hypothalamus (PVN). Previous findings suggest that, if stimulated, the PVN can produce inflammatory responses in the GI tract. To understand the effects of H2S in the PVN, we examined the effects of the H2S donor, sodium hydrogen sulphide (NaHS) on the excitability of PVN neurons. Whole‐cell current clamp recordings from rat PVN neurons in slice preparations were performed. Bath application of 50 μM NaHS influenced 90% (9/10) of cells tested within approximately 45s. of administration. 100% of the responsive cells exhibited a hyperpolarizing response (n=9, −15.42 ± 2.55mV). Of these cells, 89% returned to baseline after approximately 15 mins. Four these neurons were identified as parvocellular neurons and 5 were identified as magnocellular neurons, both displayed similar responses to NaHS. These findings shed light on the role that NaHS plays in the PVN to modify the membrane potential of neurons and in turn, may affect the possible pathways associated with the PVN that are involved in inflammatory effects. Support CIHR
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".