Behavioral and axon histomorphometric analyses after intraneural transplantation of human skin‐ and nerve‐derived Schwann cells in nude rats
Bibliographic record
Abstract
INTRODUCTION/AIMS: We have recently isolated and expanded skin-derived Schwann cells (Sk-SCs) from human skin and showed that they are largely similar to nerve-derived Schwann cells (N-SCs). Here, we extend our investigation into functional assessments of the nude rats that received human Sk-SCs and N-SCs after intraneural delivery into crushed and decellularized tibial nerve in adult nude rats. METHODS: Sk-SCs, N-SCs, dermal fibroblasts, or control culture medium was injected into the crushed and decellularized tibial nerve using in situ repeated freeze-thaw cycles. Animals were then subjected to a ladder rung walking test, nociceptive von Frey testing, and walking gait analysis weekly. Animals were euthanized 6 weeks after surgery, gastrocnemius and soleus muscles were weighed, distal nerves were harvested, and whole semithin cross-sections were analyzed using segmentation software. RESULTS: N-SC-injected and dermal fibroblast-injected animals improved significantly at 4 to 6 weeks postinjury in nociceptive assessment compared with medium-injected controls. Sk-SCs recovered more rapidly in tibial functional index at 2 weeks postinjury compared with medium-injected controls. No significant difference was observed for the ladder rung walking test or muscle weight ratio. Histologically, the number of myelinated axons was significantly higher in all cell injection groups compared with medium-injected controls. No significant difference was observed in g ratio, axon diameter, or myelin thickness. DISCUSSION: Cell injection significantly improved axon regeneration across an in situ decellularized nerve segment. However, a more human cell-permissive animal model is required to delineate functional differences between cell types for preclinical transplantation studies.
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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 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.003 | 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".