NO<sup>+</sup>but not NO radical relaxes airway smooth muscle via cGMP-independent release of internal Ca<sup>2+</sup>
Bibliographic record
Abstract
We compared the effects of two redox forms of nitric oxide, NO(+) [liberated by S-nitroso-N-acetyl-penicillamine (SNAP)] and NO. [liberated by 3-morpholinosydnonimine (SIN-1) in the presence of superoxide dismutase], on cytosolic concentration of Ca(2+) ([Ca(2+)](i); single cells) and tone (intact strips) obtained from human main stem bronchi and canine trachealis. SNAP evoked a rise in [Ca(2+)](i) that was unaffected by removing external Ca(2+) but was markedly reduced by depleting the internal Ca(2+) pool using cyclopiazonic acid (10(-5) M). Dithiothreitol (1 mM) also antagonized the Ca(2+) transient as well as the accompanying relaxation. SNAP attenuated responses to 15 and 30 mM KCl but not those to 60 mM KCl, suggesting the involvement of an electromechanical coupling mechanism rather than a direct effect on the contractile apparatus or on Ca(2+) channels. SNAP relaxations were sensitive to charybdotoxin (10(-7) M) or tetraethylammonium (30 mM) but not to 4-aminopyridine (1 mM). Neither SIN-1 nor 8-bromoguanosine 3',5'-cyclic monophosphate had any significant effect on resting [Ca(2+)](i), although both of these agents were able to completely reverse tone evoked by carbachol (10(-7) M). We conclude that NO(+) causes release of internal Ca(2+) in a cGMP-independent fashion, leading to activation of Ca(2+)-dependent K(+) channels and relaxation, whereas NO. relaxes the airways through a cGMP-dependent, Ca(2+)-independent pathway.
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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 | 0.000 |
| 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".