Changes in membrane cholesterol affect caveolin-1 localization and ICC-pacing in mouse jejunum
Bibliographic record
Abstract
Pacing of mouse is dependent on the spontaneous activity of interstitial cells of Cajal in the myenteric plexus (ICC-MP). These ICC, as well as intestinal smooth muscle, contain small membrane invaginations called caveolae. Caveolae are signaling centers formed by insertions of caveolin proteins in the inner aspect of the plasma membrane. Caveolins bind signaling proteins and thereby negatively modulate their signaling. We disrupted caveolae by treating intestinal segments with methyl beta-clodextrin (CD) to remove cholesterol or with water-soluble cholesterol (WSC) to load cholesterol. Both of these treatments reduced pacing frequencies, and these effects were reversed by the other agent. These treatments also inhibited paced contractions, but complete reversal was not observed. To evaluate the specificity of the effects of CD and WSC, additional studies were made of their effects on responses to carbamoyl choline and to stimulation of cholinergic nerves. Neither of these treatments affected these sets of responses compared with their respective time controls. Immunochemical and ultrastructural studies showed that caveolin 1 was present in smooth muscle membranes and ICC-MP. CD depleted both caveolin 1 and caveolae, whereas WSC increased the amount of caveolin 1 immunoreactivity and altered its distribution but failed to increase the number of caveolae. The effects of each agent were reversed in major part by the other. We conclude that signaling through caveolae may play a role in pacing by ICC but does not affect responses to acetylcholine from nerves or when added exogenously.
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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 | 0.001 | 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".