BDNF rescues myosin heavy chain IIB muscle fibers after neonatal nerve injury
Bibliographic record
Abstract
Neonatal sciatic nerve injury is known to result in an extensive loss of lumbar motor neurons as well as the disappearance of their respective muscle fibers in the hindlimb musculature. The loss of motor neurons and muscle fibers can be prevented by immediate administration of target-derived neurotrophic factors to the site of injury. In the present study, we investigated the role of ciliary neurotrophic factor (CNTF) and brain-derived neurotrophic factor (BDNF) in the survival and maturation of a subset of motor neurons innervating the extensor digitorum longus (EDL) and tibialis anterior (TA) muscles. We have shown that combined administration of CNTF and BDNF prevented the loss of motor units after neonatal nerve injury and contributed to the maintenance of muscle mass. Importantly, this combined neurotrophin regimen also prevented the disappearance of muscle fibers that express myosin heavy chain IIB (MyHC IIB) in both EDL and TA muscles 3 mo after neonatal sciatic nerve crush. In parallel studies, we observed a higher level of BDNF in EDL muscle during the critical period of development when motor neurons are highly susceptible to target removal. Given our previous findings that combined administration of CNTF with neurotrophin-3 (NT-3) or neurotrophin-4/5 (NT-4/5) did not result in the rescue of MyHC IIB fibers in EDL, the present results show the importance of muscle-derived BDNF in the survival and maturation of a subpopulation of motor neurons and of MyHC IIB muscle fibers during neonatal development of the neuromuscular system.
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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 | 0.000 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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".