Does ICC pacing require functional gap junctions between ICC and smooth muscle in mouse intestine?
Bibliographic record
Abstract
We tested the hypothesis that interstitial cells of Cajal (ICC) pace longitudinal and circular muscle of mouse intestine through gap junctions. Carbenoxolone (10(-6), 10(-5), 10(-4) mol L(-1)), an inhibitor of gap junction conductance, was applied to segments of longitudinal or circular muscle with contractions driven by ICC after inhibition of nerve function by tetrodotoxin (10(-6) mol L(-1)) and L-NOARG (10(-4) mol L(-1)). Carbenoxolone concentration- and time-dependently inhibited the amplitude of contraction (0.2-1.5 g in controls) of segments of longitudinal muscle, but had no effect on the frequency of contractions (from 36-54 min). It also inhibited the amplitude of contractions of circular muscle segments and reduced the frequency slightly at 10(-4) mol L(-)1. Carbenoxolone inhibited tonic contractions of longitudinal but not circular segments to 60 mmol L(-1) KCl, suggesting that it directly inhibited contractions of longitudinal muscle. The responses to pacing by electrical field stimulation (40 V cm(-1), 50-100 ms, 1 Hz) after block of nerve function were reduced insignificantly in amplitude, and not in frequency in both longitudinal and circular segments. We conclude that it is likely that only gap junctions within circular muscle are involved in pacing of muscle by ICC. Carbenoxolone also has effects on muscle contractility in longitudinal muscle.
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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 | 0.000 |
| 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".