Tetrahydrobiopterin and antioxidants reverse the coronary endothelial dysfunction associated with left ventricular hypertrophy in a porcine model
Bibliographic record
Abstract
OBJECTIVE: Endothelium-dependent G-protein mediated relaxations of epicardial coronary arteries is impaired with left ventricular hypertrophy. The objective of this study was to assess the effect of L-arginine, BH(4) and the combination of two antioxidants, superoxide dismutase and catalase, on endothelium-dependent relaxations in a swine left ventricular hypertrophy model. METHODS: Aortic banding was performed 3 cm above the coronary ostia. Vascular reactivity studies were performed in standard organ chamber experiments to assess the NO pathway in the presence of methyltetrahydropterin (a BH(4) analogue), L-arginine, superoxide dismutase and catalase. RESULTS: There was a statistically significant increase in endothelium-dependent relaxation to serotonin and to bradykinin with methyltetrahydropterin and with superoxide dismutase plus catalase (P<0.05) but not with L-arginine compared to untreated coronary arteries from left ventricular hypertrophy animals. Plasma 3-nitrotyrosine level increased significantly from 918+/-122 to 1844+/-300 microM (P<0.05 vs. control) after 60 days of aortic banding. Endothelial dysfunction was not associated with a reduced expression of endothelial nitric oxide synthase 2 months after pressure overload left ventricular hypertrophy. CONCLUSIONS: Treatment with BH(4) and antioxidants constitutes an interesting approach for the prevention of endothelial dysfunction in epicardial coronary arteries associated with left ventricular hypertrophy.
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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".