Improving Axonal Regeneration: Side-to-side Bridges Coupled with Local Delivery of Glial Cell Line-derived Neurotrophic Factor (GDNF)
Bibliographic record
Abstract
Chronic denervation and chronic axotomy present independent barriers for axonal regeneration. Chronic denervation occurs when nerves are no longer connected to their neuronal cell bodies; chronic axotomy occurs when neurons are not connected to their targets for prolonged periods of time. The harmful effects of chronic denervation can be addressed by the side-to-side bridge surgical technique. Additionally, the negative effects of chronic axotomy can be reversed by GDNF delivery to the nerve. The experiments in this thesis were designed to evaluate nerve regeneration in a rat model of chronic injury after treatment with local GDNF delivery, side to-side bridge protection, or both. The GDNF delivery system consisted of poly(lactic-co-glycolic acid) microspheres embedded in fibrin for controlled delivery of GDNF. Overall, the side-to-side bridges technique was effective in protecting against the negative effects of chronic denervation regardless of treatment with or without GDNF. Local delivery of GDNF did not increase axonal regeneration or functional recovery.
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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 | 0.000 |
| 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".