Membrane currents in canine bronchial artery and their regulation by excitatory agonists
Bibliographic record
Abstract
The bronchial vasculature plays an important role in airway physiology and pathophysiology. We investigated the ion currents in canine bronchial smooth muscle cells using patch-clamp techniques. Sustained outward K(+) current evoked by step depolarizations was significantly inhibited by tetraethylamonium (1 and 10 mM) or by charybdotoxin (10(-6) M) but was not significantly affected by 4-aminopyridine (1 or 5 mM), suggesting that it was primarily a Ca(2+)-activated K(+) current. Consistent with this, the K(+) current was markedly increased by raising external Ca(2+) to 4 mM but was decreased by nifedipine (10(-6) M) or by removing external Ca(2+). When K(+) currents were blocked (by Cs(+) in the pipette), step depolarizations evoked transient inward currents with characteristics of L-type Ca(2+) current as follows: 1) activation that was voltage dependent (threshold and maximal at -50 and -10 mV, respectively); 2) inactivation that was time dependent and voltage dependent (voltage causing 50% maximal inactivation of -26 +/- 22 mV); and 3) blockade by nifedipine (10(-6) M). The thromboxane mimetic U-46619 (10(-6) M) caused a marked augmentation of outward K(+) current (as did 10 mM caffeine) lasting only 10-20 s; this was followed by significant suppression of the K(+) current lasting several minutes. Phenylephrine (10(-4) M) also suppressed the K(+) current to a similar degree but did not cause the initial transient augmentation. None of these three agonists elicited inward current of any kind. We conclude that bronchial arterial smooth muscle expresses Ca(2+)-dependent K(+) channels and voltage-dependent Ca(2+) channels and that its excitation does not involve activation of Cl(-) channels.
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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 | 0.001 |
| 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 | 0.001 | 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".