Neuronal Populations Capable of Regeneration following a Combined Treatment in Rats with Spinal Cord Transection
Bibliographic record
Abstract
Axonal regeneration after spinal cord injury (SCI) in adult mammals is limited by inhibitors associated with myelin and the glial scar. To overcome these inhibitors, a combined approach will be required. We have previously demonstrated that, following complete SCI in rats, a combination of bridging the lesion with Schwann cell (SC)-filled guidance channels, olfactory ensheathing glia implantation, and chondroitinase ABC delivery promoted regeneration of serotonergic fibers into the lumbar spinal cord. In addition, this combined treatment significantly improved locomotor recovery. To complement these findings, we repeated this combined treatment to assess whether fibers other than serotonergic axons were able to regenerate into the caudal spinal cord. In this experiment, we injected the retrograde tracer FluoroGold (FG) into the spinal cord caudal to a complete transection in a control and a treated group. FG-positive cells rostral to the lesion and in the brainstem of animals in the treated group showed that axons were able to regenerate across the SC bridge and into the caudal spinal cord. Treated rats had labeled cells in the reticulospinal nuclei, vestibular nuclei, and the raphe nucleus as well as in the spinal cord. Cell numbers were highest in the thoracic spinal cord and the lateral vestibular nucleus. Determining the mechanisms for the superior capability of these cell populations to regenerate may provide valuable clues in the design of future treatment approaches.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".