Dipeptide sulfonamides as endothelin ET<sub>A</sub>/ET<sub>B</sub> receptor antagonists
Bibliographic record
Abstract
Endothelin-1 (ET-1) is a potent mitogen and modulator of vascular tone. It is synthesized and released from endothelial cells and acts upon two receptor subtypes designated as ETA and ETB. In this study, a series of potent dipeptide sulfonamide dual-endothelin ETA/ETB receptor antagonists were prepared to investigate their potential benefit in vascular diseases. CGS 31398 inhibited [125I]ET-1 binding to human ETA and ETB receptors expressed in Chinese hamster ovary (CHO) cells (ETA/CHO, ETB/CHO) with respective IC50 values of 0.26 and 0.12 nM. However, in anesthetized rats, this compound markedly potentiated ET-1-induced renal vascular resistance, a response normally observed with selective ETB receptor antagonists. To determine whether species differences account for these results, a direct comparison was made between binding to rat and rabbit aortic membranes versus functional antagonism in isolated rat aortic rings. It was found that CGS 31398 had potent affinity for the ETA receptor in rat and rabbit aorta with IC50 values of 0.87 and 0.79 nM, respectively. Inhibition of ET-1-induced contractions of rat aorta by the compound was considerably weaker than expected (pKB = 6.4), while that of sarafotoxin S6c induced contraction of dog saphenous vein (100% inhibition at 100 nM) was consistent with corresponding binding data. These results suggest that although CGS 31398 is a potent dual inhibitor of ETA/ETB receptor binding, it surprisingly displays potent ETB and weak ETA receptor antagonism in functional assays.
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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 | 0.000 |
| 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".