Tonic inhibitory control exerted by opioid peptides in the paraventricular nuclei of the hypothalamus on regional hemodynamic activity in rats
Bibliographic record
Abstract
1. Systemic and regional cardiovascular changes were measured following bilateral microinjection of specific and selective opioid-receptor antagonists into the paraventricular nuclei of the hypothalamus (PVN) of awake, freely moving rats. 2. PVN microinjection of increasing doses of the specific opioid antagonist naloxone - methiodide (1 - 5.0 nmol), or a selective mu-opioid receptor antagonist, beta-funaltrexamine (0.05 - 0.5 nmol), evoked important cardiovascular changes characterized by small and transient increases in heart rate (HR) and mean arterial pressure (MAP), vasoconstriction in renal and superior mesenteric vascular beds and vasodilation in the hindquarter vascular bed. 3. No significant cardiovascular changes were observed following PVN administration of the highly selective delta-opioid-receptor antagonist, ICI 174864 (0.1 - 1 nmol), or the selective kappa-opioid-receptor antagonist, nor-binaltorphine (0.1 - 1 nmol). 4. Most of the cardiovascular responses to naloxone (3 nmol) and beta-funaltrexamine (0.5 nmol) were attenuated or abolished by an i.v. treatment with a specific vasopressin V(1) receptor antagonist. 5. These results suggest that endogenous opioid peptides and mu-type PVN opioid receptors modulate a tonically-active central depressor pathway acting on systemic and regional haemodynamic systems. Part of this influence could involve a tonic inhibition of vasopressin release.
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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".