Positioned to inhibit: Netrin‐1 and netrin receptor expression after spinal cord injury
Bibliographic record
Abstract
Netrin-1 regulates axon extension during embryonic development and is expressed by neurons and myelinating oligodendrocytes in the adult CNS. To investigate the potential role of netrin-1 after spinal cord injury, we examined the expression of netrin-1 and netrin receptors after sagittal myelotomy in adult rats. This lesion targets spinal commissural projections, which respond to netrin-1 during development. Netrin-1 mRNA and protein levels were dramatically reduced at the site of injury and reduced expression persisted for at least 7 months. Neither netrin-1 protein nor mRNA was associated with the glial scar, but netrin-1 was expressed by neurons and oligodendrocytes immediately adjacent to the lesion. The post-injury distribution detected is similar to that reported for myelin-associated inhibitors of axon regeneration, such as Nogo, and is distinct from the distribution of inhibitors associated with a glial scar. DCC and UNC-5 homologue (UNC5H) expression also was reduced after injury. Although UNC5H levels recovered, DCC expression at the site of injury remained approximately 50% of pre-injury values at 7 months. Increased UNC5H immunoreactivity was associated with fibers in the superficial layers of the dorsal horn and in fibers located in white matter adjacent to the lesion. The dominant expression of UNC5H on axons and neurons in the spinal cord after injury and the persistent expression of netrin-1 by oligodendrocytes surrounding the lesion are consistent with the hypothesis that netrin-1 is a myelin-associated inhibitor of axonal regeneration after spinal cord injury.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".