Endothelin B receptors located on the endothelium provide cardiovascular protection in the hamster
Bibliographic record
Abstract
Endothelins (ETs) act through two receptors, namely ET(A) and ET(B). In the cardiovascular system, the activation of both receptors leads to vasoconstriction. However, ET(B) receptors also mediate endothelium-dependent vasodilatation and clearance of plasma ET-1. With regard to these latter properties, we wanted to assess the contribution of ET(B) receptors and the effects of selective and mixed ET receptor blockade on vascular tone in control Syrian Golden hamsters and in Bio 14.6 cardiomyopathic hamsters after bolus injection of ET-1 and IRL-1620, a selective ET(B) agonist. In 12-week-old anaesthetized control hamsters, ET-1 (0.5 nmol/kg) induced a sustained pressor response which was only partly reduced by the selective ET(A) receptor antagonist BQ-123, suggesting a contribution of ET(B) receptor activation to the vasoconstrictive effects of ET-1. This was confirmed by injection of the selective ET(B) receptor agonist IRL-1620 (1 nmol/kg). However, the pressor response to this agonist was always preceded by a transient vasodilatation, indicating activation of endothelium-located ET(B) receptors. When the selective ET(B) receptor antagonist BQ-788 was administered, the hypotensive phase following IRL-1620 injection was abolished. Interestingly, BQ-788 or a mixture of BQ-788 and BQ-123 significantly potentiated the pressor responses to ET-1. In 12-week-old Bio 14.6 cardiomyopathic hamsters, ET-1 and IRL-1620 induced haemodynamic responses similar to those observed in control hamsters, although the IRL-1620-induced pressor increase was lower. No difference in cardiac prepro ET-1 mRNA expression was observed between the two strains of hamsters. In conclusion, we suggest that endothelium-located ET(B) receptors are involved in the physiological antagonism of ET-dependent protracted pressor effects, and thus may play a protective role in both normal hamsters and those with cardiomyopathy.
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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) | 0.001 | 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) | 0.002 | 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".