Discrepancies between c‐Kit positive and Ano1 positive <scp>ICC</scp>‐<scp>SMP</scp> in the <i>W/W</i><sup><i>v</i></sup> and wild‐type mouse colon; relationships with motor patterns and calcium transients
Bibliographic record
Abstract
BACKGROUND: Interstitial cells of Cajal associated with the submuscular plexus (ICC-SMP) generate omnipresent slow-wave activity in the colon and are associated with prominent motor patterns. Our aim was to investigate colon motor dysfunction in W/W(v) mice in which the ICC are reportedly reduced. METHODS: Whole organ colon motility was studied using spatio-temporal mapping; immunohistochemical staining was carried out for c-Kit and Ano1; calcium imaging was applied to ICC-SMP. KEY RESULTS: Discrepancies between Ano1 and c-Kit staining were found in both wild-type and W/W(v) colon. ICC-SMP were reduced to ~50% in the W/W(v) mouse colon according to c-Kit immunohistochemistry, but Ano1 staining indicated a normal network of ICC-SMP. The latter was consistent with rhythmic calcium transients occurring at the submucosal border of the colon in W/W(v) mice, similar to the rhythmic transients in wild-type ICC-SMP. Furthermore, the motor pattern associated with ICC-SMP pacemaking, the so-called 'ripples' were normal in the W/W(v) colon. CONCLUSIONS & INFERENCES: c-Kit is not a reliable marker for quantifying ICC-SMP in the mouse colon. Ano1 staining revealed a normal network of ICC-SMP consistent with the presence of a normal 'ripples' motor pattern. We detected a class of Ano1 positive c-Kit negative cells that do not depend on Kit expression for maintenance, a feature shared with ICC progenitors.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".