YC-1 enhances the responsiveness of tolerant vascular smooth muscle to glyceryl trinitrate
Bibliographic record
Abstract
A major limitation of the use of organic nitrates in cardiovascular medicine is the development of tolerance, which has been attributed, in part, to a decrease in their metabolic activation in the vascular smooth muscle cell. Recently, 3-(5'-hydroxymethyl-2'-furyl)-1-benzylindazole (YC-1) was shown to potentiate vascular smooth muscle responsiveness to glyceryl trinitrate (GTN), sodium nitroprusside, and the nitric oxide donor NOC 18, in organic nitrate-naive vascular smooth muscle. We used GTN-tolerant rabbit aortic rings (RARs) to test the hypothesis that a non-vasorelaxant concentration of YC-1 enhances the ability of the prototypical organic nitrate GTN to relax vascular smooth muscle and elevate intravascular cGMP under conditions of GTN tolerance. Treatment with YC-1 (3 microM) produced a left shift of the GTN concentration-response curve and decreased the EC50 value for GTN-induced relaxation in both GTN-tolerant and non-tolerant RARs (P < 0.05). Intravascular cGMP elevation induced by GTN was enhanced in the presence of YC-1 in GTN-tolerant and non-tolerant RARs (P < 0.05). These observations indicate that YC-1, or similarly acting drugs, may be useful in overcoming the tolerance that develops during sustained GTN therapy, and that its mechanism may involve enhanced cGMP formation.
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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 | 0.001 |
| 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".