Effect of tetrahydrobiopterin on selective endothelial dysfunction of epicardial porcine coronary arteries induced by cardiopulmonary bypass
Bibliographic record
Abstract
BACKGROUND: We hypothesized that cardiopulmonary bypass induces a selective alteration of the coronary arterial endothelial cell signal transduction which could be explained by a state of depletion and/or decreased activity of endogenous tetrahydrobiopterin (BH(4)). The aim of this study was to assess the effects of cardiopulmonary bypass and BH(4) on the endothelial function of epicardial coronary arteries in a swine model of cardiopulmonary bypass. METHODS: Swine underwent 90 min of cardiopulmonary bypass alone (N=19) or in association with a brief cardioplegic arrest with (N = 6) or without (N = 5) in vivo BH(4) administration, followed by a 60-min period following weaning from cardiopulmonary bypass and were compared to a control group (N = 7). Endothelium-dependent relaxations of epicardial coronary artery rings were studied using standard organ chamber experiments in the presence or absence of in vitro BH(4) or superoxide dismutase (SOD) and catalase. RESULTS: Cardiopulmonary bypass caused a statistically significant reduction of endothelium-dependent relaxations to serotonin (p < 0.0001), bradykinin (p < 0.001), UK14304 (p < 0.0001) and calcium ionophore (p < 0.01) in epicardial porcine coronary arteries. In vitro and in vivo BH(4) supplementation improved endothelium-dependent relaxations to serotonin and bradykinin, which were left unchanged by SOD-catalase administration. Cardiopulmonary bypass was associated with a decrease in nitric oxide availability (p = 0.002) and increased oxidative stress (p < 0.001), which were both restored by in vivo BH(4) administration (p < 0.001). CONCLUSION: Treatment with BH(4) improves the endothelial dysfunction of porcine epicardial coronary arteries, restores nitric oxide availability and reduces the oxidative stress associated with cardiopulmonary bypass.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.000 | 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 teacher head, 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".