Effects of the neutral endopeptidase inhibitor thiorphan on cardiovascular and renal function in cirrhotic rats
Bibliographic record
Abstract
1. Cirrhosis is associated with cardiovascular and renal dysfunction including sodium retention. Many vasoactive peptides such as atrial natriuretic peptide (ANP) and endothelin-1 (ET-1) are degraded by neutral endopeptidase 24.11 (NEP). We investigated the hemodynamic and renal effects of thiorphan, a NEP inhibitor, in a rat cirrhosis model. 2. Cirrhosis was induced by chronic bile duct ligation, and controls had sham operation. Systemic and renal hemodynamics in conscious, restrained animals were determined using radiolabeled microspheres, and glomerular filtration rate (GFR) was measured by (3)H-inulin clearance. Plasma ANP and ET-1, and renal cGMP and Na(+) - K(+) ATPase activity were assayed. These variables were measured at baseline and after intravenous infusion of thiorphan (0.5 mg kg(-1) loading dose followed by 0.1 mg kg(-1) min(-1) x 30 min). 3. Thiorphan significantly decreased cardiac output, and increased systemic vascular resistance in controls, whereas in cirrhotic rats these variables were unchanged. 4. Compared to the controls, cirrhotic rats showed a decreased baseline GFR and urine sodium excretion, and the latter was significantly increased by thiorphan. 5. Thiorphan increased plasma ET-1 levels in controls, but not cirrhotic rats. ANP levels were not significantly increased in either group by thiorphan. 6. Thiorphan significantly increased cGMP concentrations and decreased Na(+) - K(+) ATPase activity of renal medulla but not cortex in cirrhotic rats; no effect was observed in the control rats. 7. We conclude that thiorphan induces natriuresis in cirrhotic rats by a direct renal medullary mechanism via cGMP and Na(+) - K(+) ATPase, without affecting systemic hemodynamics. This may potentially be useful in patients with ascites.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".