Endothelin-1 Limits Vascular Smooth Muscle β-Adrenergic Receptor Sensitivity by a PKC-Dependent Pathway
Bibliographic record
Abstract
Endothelin-1 reduces the chronotropic and inotropic effects of the beta-adrenoceptor agonist isoproterenol in rabbit isolated atria. Vascular interactions between endothelin-1 and isoproterenol have not been reported. Rings of the rabbit aorta without endothelium were mounted on myographs to measure isometric tension. Vessels were precontracted to similar levels with phenylephrine (30 micromol/L) or endothelin-1 (30 nmol/L). Relaxation to isoproterenol and forskolin were obtained. Vascular sensitivity (pD2) to isoproterenol was not different in the presence of endothelin-1 (7.6 +/- 0.3; n = 13) and phenylephrine (7.5 +/- 0.3; n = 11). The maximal relaxation (Emax) however, was doubled (P < 0.05) by endothelin-1 (42 +/- 5%), as compared with phenylephrine (23 +/- 4%). In the presence of endothelin-1, chelerythrine (protein kinase C inhibitor; 10 micromol/L) increased (P < 0.05) vascular sensitivity to isoproterenol (8.6 +/- 0.4, n = 7), but had no influence on the Emax. In contrast, in the presence of phenylephrine, pD2 was unaffected by chelerythrine, whereas the Emax to isoproterenol was increased (P < 0.05; 50 +/- 4%, n = 8). Vascular sensitivity and Emax to forskolin were similar in the presence of endothelin-1 and phenylephrine. In conclusion, endothelin-1 reduces vascular sensitivity to isoproterenol in a PKC-dependent pathway. The permissive effect of endothelin-1 appears to directly target the beta-adrenoceptor/G protein complex upstream of adenylate cyclase.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".