Release of nitric oxide is modulated by endothelial cell membrane potential in rat basilar artery
Bibliographic record
Abstract
Endothelium-dependent relaxation of isolated rat basilar artery to acetylcholine (ACh) is abolished by pre-incubation with L-NG-nitroarginine methyl ester (L-NAME; 100 μM), an inhibitor of nitric oxide (NO) synthase, indicating that this responses can be fully accounted for by the release of endothelium-derived NO. In the presence of L-NAME, smooth muscle hyperpolarization to either ACh (10 μmoles) or 1-ethyl-2-benzimidazolinone (EBIO; 10 μmoles), an activator of small- (SKCa) and intermediate-calcium activated potassium (IKCa) channels, was abolished. Hyperpolarization of endothelial cell membrane potential to ACh was significantly inhibited by apamin (50 nM) an inhibitor of SKCa channels whereas hyperpolarization to EBIO was significantly inhibited by pre-incubation with TRAM-34 (1 μM), an inhibitor of IKCa channels. Hyperpolarization to both ACh and EBIO was abolished by the combination of TRAM-34 and apamin. These inhibitors did not significantly alter the resting membrane potential of smooth muscle cells but caused significant depolarization of the endothelial cell membrane potential. It is concluded that endothelial cell hyperpolarization mediated by activation of calcium-activated potassium channels play a key role in facilitating synthesis and/or release of endothelium-derived NO in the rat basilar artery (CIHR).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".