Mechanisms underlying nitric oxide‐mediated modulation of vasoconstriction in small arteries
Bibliographic record
Abstract
Contractile activation of vascular smooth muscle cells is limited by the release of endothelium‐derived relaxing factors such as nitric oxide (NO). We have investigated the role of Ca 2+ ‐activated potassium channels (K Ca ) and inositol triphophate receptors (IP 3 R) in endothelium‐dependent modulation of vasoconstriction in rat basilar and mesenteric arteries. L‐N G ‐nitroarginine methyl ester (L‐NAME; 100 μM) or 1‐[(2‐chlorophenyl) diphenylmethyl]‐1H‐pyrazole (TRAM‐34; 5 μM), significantly potentiated contractions to 5‐hydroxytrptamine (5‐HT; 0.1 nM‐10 μM) and phenylephrine (PE; 0.01‐10 μM) in endothelium‐intact segments of rat basilar and mesenteric artery, respectively. The effects of L‐NAME and TRAM‐34 were not additive. Application of xestospongin (10 μM), a non‐selective IP 3 R antagonist, to the lumen of pressurized rat mesenteric arteries potentiated constrictions to PE to a greater extent than L‐NAME, and subsequent addition of either L‐NAME or TRAM‐34 did not cause further increase in PE‐evoked responses. Ultrastructural immunohistochemistry revealed an accumulation of IP 3 R within endothelial cell projections associated with myoendothelial gap junctions in these arteries. These data indicate that activation of endothelial intermediate conductance K Ca and IP 3 R may play a key role in NO‐dependent modulation of vasoconstriction in rat small arteries.
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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".