Abstract 420: Role of Ang II and Glutamate in the PVN of Rats with Ang II-induced Hypertension
Bibliographic record
Abstract
A chronic increase in circulating Ang II increases neuronal activation in hypothalamic nuclei such as the paraventricular nucleus (PVN) and causes progressive hypertension. These effects can be largely prevented by central infusion of blockers of an aldosterone-ouabain neuromodulatory pathway that enhances the activity of angiotensinergic sympathoexcitatory pathways. A number of models of chronic sympathetic hyperactivity are associated with an increase in glutamate receptor and AT 1 -receptor activation in the PVN. The present study evaluated whether these mechanisms in the PVN also contribute to the elevated BP from a chronic increase in plasma Ang II by chronic subcutaneous (sc) infusion of Ang II for 2 weeks. One week following bilateral stereotaxic cannulation of the PVN, bilateral infusion (300 nL/min/side) of AT 1 and glutamate receptor blockers, candesartan and kynurenate were performed, and BP and HR were recorded in conscious Wistar rats. Data are mean±SE; (n=4-5/group). *p<0.05 vs. baseline Kynurenate or candesartan in the PVN both fully reversed the increase in BP from sc infusion of Ang II for 2 weeks. Infusion of candesartan after kynurenate or kynurenate after candesartan did not further lower BP. These findings suggest that enhanced AT 1 -receptor and glutamate receptor activation in the PVN both contribute to the elevated BP in Wistar rats with chronically elevated plasma Ang II. The effects of increased AT 1 -receptor activation in the PVN appear to be mediated by local glutamate 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) | 0.001 | 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".