Regeneration‐associated genes decline in chronically injured rat sciatic motoneurons
Bibliographic record
Abstract
Chronic nerve injuries are notorious for their poor regenerative outcomes. Here, we addressed the question of whether the established reduced ability of injured motoneurons to regenerate their axons with time of disconnection with targets (chronic axotomy) is associated with a failure of injured motoneurons to express and sustain their expression of regeneration-associated genes. Sciatic motoneurons were prevented from regenerating by ligation of the transected nerves (chronic axotomy), and then subjected to a second nerve transection (acute axotomy) to mimic the clinical surgical procedure of refreshing the proximal nerve stump prior to delayed nerve repair. The expression of α1-tubulin, actin and GAP-43 mRNA was analysed in axotomized sciatic motoneurons by the use of in situ hybridization followed by autoradiography and silver grain quantification. The expression of these regeneration-associated genes by naive (acutely) axotomized motoneurons declined exponentially, to reach baseline levels within 6 months. These chronically injured motoneurons responded to a refreshment axotomy by elevating the expression of the genes to the same levels as in acutely (i.e. for the first time) axotomized sciatic motoneurons. However, the expression of these declined more rapidly than after acute axotomy. We conclude that a progressive decline in the expression of the regeneration-associated genes in chronically axotomized motoneurons and the even more rapid decline in their expression in response to a refreshment axotomy may explain why the regenerative capacity of chronically axotomized neurons declines with time.
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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 | 0.001 |
| 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".