Endothelin-dependent effects limit flow-induced dilation of conductance coronary vessels after blockade of nitric oxide formation in conscious dogs
Bibliographic record
Abstract
OBJECTIVE: To determine whether endothelin (ET)-dependent effects limit shear stress-induced dilation of large epicardial coronary arteries after blockade of nitric oxide (NO) formation. METHODS: In conscious dogs instrumented for measuring coronary blood flow (CBF) and external diameter (CD) of the circumflex coronary artery, flow-dependent CD dilation was elicited by intracoronary (i.c.) adenosine (500 ng kg-1 min-1). RESULTS: I.c. adenosine increased CBF by 28 +/- 4 from 38 +/- 5 ml min-1 and CD by 0.25 +/- 0.03 from 3.53 +/- 0.07 mm without other hemodynamic effects. After N omega-nitro-L-arginine methyl ester (L-NAME), baseline CD fell (P < 0.01) to 3.35 +/- 0.08 mm but CBF was not significantly altered (36 +/- 5 ml min-1). CBF increases caused by adenosine were smaller (17 +/- 2 ml min-1, P < 0.05) and CD responses were nearly abolished (0.02 +/- 0.01 mm, P < 0.01). I.c. Ro 61-1790, an ETA receptor blocker, given after L-NAME did not significantly influence baseline CBF (36 +/- 5 ml min-1) but increased (P < 0.01) CD to 3.45 +/- 0.09 mm. CBF responses to adenosine were not significantly altered by Ro 61-1790 but CD responses (0.10 +/- 0.01 mm) were partially restored (P < 0.01). In contrast, blockade of ETB receptors with Ro 46-8443 after L-NAME had no further effects on CD and CBF responses to adenosine. CONCLUSION: ETA receptor-mediated effects limit flow-dependent dilation of large epicardial coronary arteries in conscious dogs. Suppression of the L-arginine/NO-dependent pathway with L-NAME reveals significant ET-dependent effects.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".