Pleiotrophin and Rehabilitative Training Following an Incomplete Cervical Dorsolateral Quadrant Spinal Cord Injury in Adult Female Lewis Rats
Bibliographic record
Abstract
STUDY PURPOSE: To test the capabilities of pleiotrophin (PTN) to promote forelimb motor recovery after a cervical dorsal lateral quadrant (DLQ) partial transection spinal cord injury (SCI) in adult rats and to evaluate PTN as a potential treatment in the clinic. DATA COLLECTED: Adult female Lewis rats (n = 24) were trained to perform single pellet reaching, grasping and retrieval (SPRGR) task prior to SCI to establish baseline performance and determine the preferred paw. Once trained, a C4 DLQ was performed ipsilateral to the preferred paw, using a custom-made scalpel blade. Immediately following SCI, PBS (1 µl; n = 12) or PTN (1.2 µg in 1 µl; n = 12) was injected into the ipsilesional intermediate gray matter (0.75 mm lateral of midline, 1.5 mm deep from surface), 2.5 mm caudal to the SCI site. Animals received SPRGR rehabilitative training starting a week after SCI. Training occurred 5 days/week for 10 min/day until the success rate of all rats plateaued (~5 weeks). The training was video recorded and analyzed in a blinded manner. Von Frey hair test was used to assess bilateral forepaw tactile sensitivity before and at 5 weeks post-SCI. Horizontal ladder task was used to assess limb function in a skilled locomotor task. All animals were video recorded on a horizontal ladder task prior to and 5 weeks post-SCI and analyzed in a blinded manner. Histological analysis of lesion severity was performed on transverse sections of the spinal cord showing the largest area of SCI damage. Sections were immune-stained with 0.5% cresyl violet solution and visualized under brightfield and phase-contrast microscopy. DATA USAGE NOTES:
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".