Glial cell line‐derived neurotrophic factor increases calcitonin gene‐related peptide immunoreactivity in sensory and motoneurons <i>in vivo</i>
Bibliographic record
Abstract
Calcitonin gene-related peptide (CGRP) is expressed at high levels in roughly 50% of spinal sensory neurons and plays a role in peripheral vasodilation as well as nociceptive signalling in the spinal cord. Spinal motoneurons express low levels of CGRP; motoneuronal CGRP is thought to be involved in end-plate plasticity and to have trophic effects on target muscle cells. As both sensory and motoneurons express receptors for glial cell line-derived neurotrophic factor (GDNF) we sought to determine whether CGRP was regulated by GDNF. Rats were treated intrathecally for 1-3 weeks with recombinant human GDNF or nerve growth factor (NGF) (12 microg/day) and dorsal root ganglia and spinal cords were stained for CGRP. The GDNF treatment not only increased CGRP immunoreactivity in both sensory and motoneurons but also resulted in hypertrophy of both populations. By combined in situ hybridization and immunohistochemistry we found that, in the dorsal root ganglia, CGRP was up-regulated specifically in neurons expressing GDNF but not NGF receptors following GDNF treatment. Despite the increase in CGRP in GDNF-treated rats, there was no increase in thermal or mechanical pain sensitivity, while NGF-treated animals showed significant decreases in pain thresholds. In motoneurons, GDNF increased the overall intensity of CGRP immunoreactivity but did not increase the number of immunopositive cells. As GDNF has been shown to promote the regeneration of both sensory and motor axons, and as CGRP appears to be involved in motoneuronal plasticity, we reason that at least some of the regenerative effects of GDNF are mediated through CGRP up-regulation.
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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 | 0.001 | 0.002 |
| 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 | 0.000 | 0.001 |
| 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".