Vagal Fibers Form Associations With Interstitial Cells of Cajal During Fetal Development
Bibliographic record
Abstract
Vagal intramuscular arrays (IMAs) have been shown to form complexes with intramuscular interstitial cells of Cajal (ICC). We tested the hypothesis that associations between vagal nerve endings and ICC arise in fetal development. Intraganglionic laminar endings (IGLEs) and IMAs were identified by applying 1,1'-dioctadecyl-3,3,3',3'-tetramethylindocarbocyanineperchlorate (DiI) to vagal nerve trunks and myenteric plexus (MP) and intramuscular (IM) ICC were immunolabeled with antibodies to c-Kit in fetal and early postnatal mice (E16-P7). At E16, c-Kit immunoreactive cells were abundant in the primordial smooth muscle, with early ICC networks discernable by E18 and ongoing organization at P1 and P7. The distribution of vagal endings was found to change during the course of development, with significantly more putative IGLEs in the prenatal compared to the postnatal period and less IMAs in the prenatal compared to postnatal period. Associations of ICC with both IGLEs and IMAs were detected as early as E16 and were maintained into postnatal life. These findings suggest that vagal fibers begin to associate with ICC during prenatal development. Future studies will be needed to determine the mechanisms through which vagal endings and ICC interact.
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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 | 0.001 |
| 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".