Local Administration of Glial Cell Line-derived Neurotrophic Factor Improves Behavioral and Histological Deficit of Neonatal Erb’s Palsy in Rats
Bibliographic record
Abstract
OBJECTIVE: We sought to evaluate from a behavioral and histological viewpoint the effect of local administration of glial cell line-derived neurotrophic factor (GDNF) on neonatal preganglionic Erb's palsy in rats. METHODS: The Erb's palsy model was produced by transecting the anterior and posterior roots of the left C5-C7 nerves of 7-day-old rats. The rats were divided into GDNF-treated (n = 10) and vehicle-treated groups (n = 11). After we transected the roots, contact in the proximal and distal stumps of the transected nerves was maintained, and the transected point and the entire intraspinal portion of the transected roots were enclosed by Gelfoam soaked with 10 micro g GDNF or saline. The behavioral evaluation consisted of a foot-fault test and a forepaw muscle strength test, all of which were performed from the third to the seventh weeks after the operation. Seven weeks after the operation, all rats were killed, the number of anterior horn cells was counted at C5-C7, and the differences on each side were compared. RESULTS: In the vehicle-treated group, the foot-fault test indicated an abnormality in forelimb function on the root transection side. In the GDNF-treated group, however, significant improvement in forelimb function was observed on the basis of the foot-fault test results obtained in the third to sixth weeks after the operation. In the histological evaluation, the number of anterior horn cells from the side in which the operation took place in the vehicle-treated group was significantly less than that taken from the contralateral side at each segment. In the GDNF-treated group, however, there was no difference in any of the segments, regardless of the side from which they were taken. CONCLUSION: Local administration of GDNF in a neonatal preganglionic Erb's palsy model resulted in significant improvement in deficits on the basis of behavioral and histological evaluations.
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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) | 0.001 | 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".