GABA<sub>A</sub> AND GABA<sub>B</sub> RECEPTOR‐MEDIATED INHIBITION OF SYMPATHETIC OUTFLOW IN THE PARAVENTRICULAR NUCLEUS IS BLUNTED IN CHRONIC HEART FAILURE
Bibliographic record
Abstract
1. Alterations in the paraventricular nucleus (PVN) are reported to be involved in sympathetic overactivity in chronic heart failure (CHF). Inhibitory inputs into the PVN contribute to sympathetic outflow. The aim of the present study was to comparatively determine the role of GABA mechanisms in the PVN in the tonic control of cardiovascular activity in anaesthetized sham and CHF rats. 2. The CHF model was induced by coronary artery ligation. Unilateral microinjection of the GABA(A) receptor agonist muscimol (0.1-0.8 nmol/200 nL) or the GABA(B) receptor agonist baclofen (0.25-2.0 nmol/200 nL) into the PVN produced similar, dose-dependent reductions in arterial pressure (AP), heart rate (HR) and renal sympathetic nerve activity (RSNA). This response was significantly blunted in CHF rats. In contrast, microinjection of the GABA(A) receptor antagonist bicuculline (25-200 pmol/200 nL) or the GABA(B) receptor antagonist CGP35348 (0.25-2.0 nmol/200 nL) into the PVN caused larger, dose-dependent increases in AP, HR and RSNA in sham than in CHF rats. 3. Polymerase chain reaction data showed that mRNA expression levels of the GABA(A) receptor alpha(1)-subunit and of the GABA(B1(a)) and GABA(B1(b)) receptor subtypes in the PVN were significantly lower in CHF than in sham rats. 4. The results of the present study suggest that the tonic inhibition mediated by both GABA(A) and GABA(B) receptors in the PVN on sympathetic outflow is blunted in CHF, which may be an important mechanism responsible for sympathetic hyperactivity in CHF.
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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".