Enhanced contribution of NO to exercise-induced coronary responses after α-adrenergic receptor blockade
Bibliographic record
Abstract
We hypothesized that nitric oxide (NO), in addition to β-adrenergic effects, may contribute to exercise-induced coronary responses after α-adrenergic receptor blockade. Data were analyzed as relationships between coronary sinus (CS) O2saturation (CS O2sat) or coronary blood flow (CBF) and myocardial O2consumption (MV˙o2). As MV˙o2increased, CS O2sat fell more ( P < 0.05) after Nω-nitro-l-arginine methyl ester (l-NAME; slope = −2.9 ± 0.4 × 10−2%saturation · μl O2· min−1· g−1) than before (slope = −2.1 ± 0.3 × 10−2%saturation · μl O2· min−1· g−1). The slope of CBF versus MV˙o2was not altered. After blockade of α-adrenergic receptors alone (phentolamine), CS O2sat failed to decrease as MV˙o2increased (slope = −0.1 ± 0.5 × 10−2%saturation · μl O2· min−1· g−1).l-NAME given after phentolamine led to substantial decreases in CS O2sat ( P < 0.01) as MV˙o2increased (slope = −2.1 ± 0.4 × 10−2percent saturation · μl O2−1· min−1· g−1). CBF responses to exercise were smaller ( P < 0.01) after phentolamine + l-NAME (slope = 6.1 ± 0.1 × 10−3ml/μl O2) than after phentolamine alone (slope = 6.9 ± 0.2 × 10−3ml/μl O2). Thus a significant portion of exercise-induced coronary responses after α-adrenergic receptor blockade involves NO 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 | 0.001 |
| 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) | 0.001 | 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".