Central neural activation of hyperdynamic circulation in portal hypertensive rats depends on vagal afferent nerves
Bibliographic record
Abstract
BACKGROUND: Hyperdynamic circulation in portal hypertensive rats depends on central neural c-fos gene expression, but how the portal hypertensive signal activates central c-fos expression remains obscure. AIM: To elucidate the afferent pathway from the gut to the central cardiovascular regulatory nuclei in portal hypertensive rats. METHODS: Cervical vagus nerves and the coeliac ganglion were treated with topical capsaicin to denervate the sensory afferents. Surgical portal vein stenosis (PVS) was performed 3 weeks after denervation. Effectiveness of vagal afferent denervation was confirmed by absent oesophagus to brainstem transfer of the neural tracer cholera toxin-conjugated horseradish peroxidase. Fos, the protein product of the c-fos gene, was detected by immunohistochemistry in central cardiovascular regulatory nuclei. Vagal nerve activity was measured after acute portal hypertension induced by an inflatable cuff around the portal vein. Cardiac output and mean arterial pressure were recorded. RESULTS: In vagal capsaicin-treated rats, no horseradish peroxidase was detected in the brainstem after oesophageal injection. In vagal capsaicin-treated rats subjected to PVS, Fos expression was significantly decreased in both the solitary tract nucleus and paraventricular nucleus compared with untreated PVS rats. Acute portal hypertension stimulated vagal nerve electrical activity. The hyperdynamic circulation was completely abrogated in vagal capsaicin-treated PVS rats. Capsaicin induced no neural or haemodynamic changes in either sham-operated controls or coeliac ganglion-treated PVS rats. CONCLUSION: In portal hypertensive rats, central cardiovascular regulatory nuclei initiate hyperdynamic circulation in response to a gut signal associated with portal hypertension. Portal hypertension signals to the central nuclei via capsaicin-sensitive vagal afferent nerves.
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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) | 0.002 | 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".