Distribution of central sensory axons in transgenic mice overexpressing nerve growth factor and lacking functional p75 neurotrophin receptor expression
Bibliographic record
Abstract
This study examined the roles of nerve growth factor (NGF) and the p75 neurotrophin receptor (p75NTR) in the growth of dorsal root ganglion (DRG) central processes in the dorsal horn. Two genetically modified mouse strains were used: transgenic mice that overexpress NGF in the CNS under the control of the glial fibrillary acidic protein promoter, and p75NTR exon III null mutant mice that express a hypomorphic form of this receptor. In both NGF transgenic and nontransgenic mice with hypomorphic expression of p75NTR, there is a significant loss of DRG neurons compared to mice with normal p75NTR expression. This reduction in neuron number has been shown to underlie a corresponding decrease in peripheral nociceptive sensory innervation. Within the CNS, however, nociceptive innervation of the dorsal horn appears to be unaffected by hypomorphic expression of p75NTR. Comparisons of calcitonin gene-related peptide immunoreactivity in the dorsal horn revealed that the area occupied by DRG central processes was not significantly different between p75NTR hypomorphic mice and wild-type siblings, or between NGF transgenic mice with either hypomorphic or normal expression of p75NTR. We propose that DRG central processes arborize extensively in both NGF-transgenic and nontransgenic p75NTR hypomorphic mice in order to compensate for the loss of DRG neurons and restore dorsal horn innervation to normal levels. We also present evidence suggesting that NGF plays only a minor role in the growth of DRG central processes.
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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 | 0.001 | 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) | 0.001 | 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".