Effect of long-term treatment with urocortin on the activity of somatic angiotensin-converting enzyme in spontaneously hypertensive rats
Bibliographic record
Abstract
Our previous acute study on urocortin (Ucn) demonstrated that Ucn altered serum and tissue angiotensin-converting enzyme (ACE) activity in rats. Therefore, the present investigation was designed to explore the effect of long-term treatment with Ucn on somatic ACE (sACE) and other components of the renin-angiotensin system (RAS). After 8 weeks of intravenous administration of Ucn in spontaneously hypertensive rats (SHR), serum and tissue sACE, angiotensin II (Ang II), nitric oxide (NO), Ang-(1-7), and tissue chymase activities were evaluated. RT-PCR analysis was performed to determine the quantity of tissue sACE mRNA. Serum sACE activity was reduced by Ucn, although tissue sACE activity and tissue sACE mRNA were elevated. Chymase activity was observed to be enhanced by Ucn, whereas the ACE inhibitor enalapril failed to influence chymase. Serum and tissue Ang II activity was reduced, but NO and Ang-(1-7) production was increased in a concentration-dependent manner after Ucn treatment. Meanwhile, a significant decrease of the systolic blood pressure (SBP) was observed after the long-term Ucn administration, and there was a significant positive correlation (r2 = 0.6993) between serum ACE activity and SBP. Pretreatment with the corticotropin-releasing factor (CRF) blocker astressin and the extracellular signal-regulated kinase 1/2 (ERK1/2) pathway blocker PD98059 abolished these effects of Ucn. Our findings further support the hypothesis that the changes of sACE activity and the production of other RAS components may play roles in the vasodilatory property of Ucn via the activation of the ERK1/2 pathway.
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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 | 0.000 | 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".