EDHF mediates the relaxation of stretched canine femoral arteries to acetylcholine
Bibliographic record
Abstract
To test the hypothesis that mechanically stretched arteries relax to endothelium-derived vasodilators, we challenged endothelium-intact dog femoral artery rings stretched from 1 to 16 g total initial tension (active force and passive elastic) with 10(-6) M acetylcholine (ACh), an endothelium-dependent dilator. The relaxation to 10(-6) M sodium nitroprusside (SNP), an endothelium-independent dilator, increased with the total initial tension. The relaxation to ACh averaged approximately 65% of the relaxation to SNP at total initial tensions of 4 to 16 g. To determine the nature of the endothelial-derived products involved, we compared the ACh-induced relaxation of stretched rings (6.5 +/- 0.2 g total initial tension) with rings chemically contracted with phenylephrine (Phe, 10(-7) to 10(-5) M) (6.5 +/- 0.3 g total initial tension). ACh-induced relaxation was evaluated before and after the inhibition of the synthesis of eicosanoids [cyclooxygenase (10(-5) M indomethacin) and lipoxygenase (10(-5) M nordihydroguariaretic acid)] and nitric oxide [nitric oxide synthase (10(-5) M Nw-nitro-L-arginine)]. The contribution of endothelium-derived hyperpolarizing factor (EDHF) was identified by blocking calcium-activated potassium channels (10(-8) M iberiotoxin). SNP (10(-6) M) relaxed stretched rings by 1.7 +/- 0.1 g and chemically-activated rings by 4.8 +/- 0.2 g. ACh relaxed stretched rings to 73 +/- 3% of the SNP relaxation and this was only attenuated in the presence of iberiotoxin. ACh relaxed Phe-activated rings to 60 +/- 3% of the SNP relaxation. This relaxation was attenuated by inhibition of the synthesis of nitric oxide and (or) eicosanoids. Therefore, ACh relaxed stretched rings through the release of EDHF whereas the relaxation of chemically activated rings to ACh involved multiple endothelium-derived vasodilators.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".