A Novel Role for Endogenous Pituitary Adenylate Cyclase Activating Polypeptide in the Magnocellular Neuroendocrine System
Bibliographic record
Abstract
Central release of vasopressin (VP) by the magnocellular neuroendocrine cells (MNCs) responsible for systemic VP release is believed to be important in modulating the activity of these neurons during dehydration. Central VP release from MNC somata and dendrites is stimulated by both dehydration and pituitary adenylate cyclase activating polypeptide (PACAP). Although PACAP is expressed in MNCs, its potential role in the magnocellular response to dehydration is unexplored. The current study demonstrates that prolonged dehydration increases immunoreactivity for PACAP-27, PACAP-38, and the type I PACAP receptor in the supraoptic nucleus (SON) of the rat. In addition, PACAP stimulates local VP release in the euhydrated rat SON in vitro, and this effect is reduced by the PACAP receptor antagonist PAC(6-27) (100 nm), suggesting the participation of PACAP receptors. Concomitant with its effects on local VP release, PACAP also reduces basal glutamate and aspartate release in the euhydrated rat SON. Furthermore, somatodendritic VP release elicited by acute dehydration is blocked by PAC(6-27), suggesting that endogenous PACAP participates in this response. Consistent with this, RIA revealed that local PACAP-38 release within the SON is significantly elevated during acute dehydration. These results suggest that prolonged activation of hypothalamic MNCs is accompanied by up-regulation of PACAP and the type I PACAP receptor in these cells and that somatodendritic VP release in response to acute dehydration is mediated by activation of PACAP receptors by endogenous PACAP released within the SON. A potential role for PACAP in promoting efficient, but not exhaustive, systemic release of VP from MNCs during physiological challenge is discussed.
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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".