Neuropathic pain- and glial derived neurotrophic factor-associated regulation of cadherins in spinal circuits of the dorsal horn
Bibliographic record
Abstract
Neuropathic pain is associated with reorganization of spinal synaptic circuits, implying that adhesion proteins that normally build and modify synapses must be involved. The adhesion proteins E- and N-cadherin delineate different synapses furnished by nociceptive primary afferents, but dynamic aspects of cadherin localization in relationship to onset, maintenance or reversibility of neuropathic pain are uncharacterized. Here, we find very different responses of these cadherins to L5 spinal nerve transection (SNT)-induced mechanical allodynia and to intrathecal glial derived neurotrophic factor (GDNF), which has potent analgesic effects in this pain model. In L5, E-cadherin is rapidly eliminated in patches within lamina IIi contemporaneously with the onset of mechanical allodynia. Intrathecal GDNF in conjunction with, or at 7 days after, L5 SNT prevents or reverses both the loss of E-cadherin and abnormal pain sensation. In contrast, N-cadherin undergoes a delayed and transient increase uniformly across lamina I-II that is insensitive to GDNF. Some N-cadherin-labeled profiles codistribute with GAP-43, suggesting a role in axon sprouting. Patterns of immunolabeling for GDNF receptor components GFRα1, NCAM, and RET after L5 SNT suggest that GFRα1 and NCAM are the principal receptors operative in this model. In addition, GFRα1 codistributes with E-cadherin, but not N-cadherin, profiles. Together, these data indicate strikingly divergent patterns of temporal and molecular regulation of different cadherins at distinct nociceptive circuits in response to spinal nerve injury, suggesting that the two cadherins and the circuits with which they are affiliated participate in different aspects of synaptic and circuit reorganization associated with neuropathic pain.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".