Vasopressin Autoreceptors and Nitric Oxide-Dependent Glutamate Release Are Required for Somatodendritic Vasopressin Release from Rat Magnocellular Neuroendocrine Cells Responding to Osmotic Stimuli
Bibliographic record
Abstract
Magnocellular neuroendocrine cells of the supraoptic nucleus (SON) release vasopressin (VP) systemically and locally during osmotic challenge. Although both central VP and nitric oxide (NO) release appear to reduce osmotically stimulated systemic VP release, it is unknown whether they interact locally in the SON to enhance somatodendritic release of VP, a phenomenon believed to regulate systemic VP release. In this study, we examined the contribution of VP receptor subtypes and NO to local VP release from the rat SON elicited by systemic injection of 3.5 m saline. Treatment of SON punches with VP receptor antagonists decreased osmotically stimulated intranuclear VP release. Similarly, blockade of NO production, or addition of NO scavengers, reduced stimulated VP, glutamate, and aspartate release, suggesting that local NO production and activity are critical for osmotically induced intranuclear VP and excitatory amino acid release. An increase in endogenous NO release from SON punches in response to hyperosmolality was confirmed by enzymatic NO assay. Consistent with enhanced glutamate and VP release from stimulated rat SON punches, the ionotropic glutamate receptor blocker kynurenate decreased stimulated local VP release without affecting NO release. These data suggest that NO enhances local VP release in part by facilitating local release of glutamate/aspartate and that glutamate receptor activity is required for the stimulation of local VP release by osmotic challenge. Collectively, these results suggest that local VP receptors, NO, and glutamatergic signaling mediate the amplification of intranuclear VP release during hyperosmolality and may contribute to efficient, but not exhaustive, systemic release of VP during osmoregulatory challenge.
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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) | 0.001 | 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".