Chitosan Channels Containing Spinal Cord-Derived Stem/Progenitor Cells for Repair of Subacute Spinal Cord Injury in the Rat
Bibliographic record
Abstract
OBJECTIVE: We evaluated the survival and differentiation capacity of neural stem/progenitor cells (NSPCs) derived from the adult rat spinal cord and seeded on intramedullary chitosan channels that were implanted in a subacute rat spinal cord injury model. METHODS: We implanted into the injured spinal cord a chitosan channel filled with NSPCs harvested from the spinal cord of adult transgenic rats expressing green fluorescent protein 3 weeks after extradural 35g clip compression injury at T8. The NSPC-chitosan channel group was compared with 2 control groups not receiving channels: 1 receiving a direct intramedullary injection of NSPCs into the lesion cavity and 1 receiving trauma alone. The survival and differentiation of NSPCs were evaluated with immunohistochemical and histopathological techniques, and functional improvement was assessed for 6 weeks with the Basso, Beattie, and Bresnahan locomotor score. RESULTS: The NSPC-chitosan channel group showed enhanced survival of NSPCs compared with NSPCs transplanted directly into the lesion cavity, although there was no significant difference in functional recovery between the treatment and control groups. In addition, the intramedullary implantation of the chitosan channel did not worsen the functional deficit after the 35g clip injury. CONCLUSIONS: Chitosan channels enhanced the survival of transplanted NSPCs in the subacutely injured spinal cord. Functional deficits were not exacerbated by the intramedullary transplantation of chitosan channels into the site of injury.
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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 | 0.000 | 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 | 0.000 |
| 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".