Sympathosensory sprouting in aged mice that over express nerve growth factor
Bibliographic record
Abstract
In this study, we investigated the effects of age on post‐ganglionic sympathetic plexuses formation in trigeminal ganglia of transgenic mice that have elevated levels of nerve growth factor (NGF) in cells expressing the glial fibrillary acidic protein promoter (GFAPpr). Our group has previously shown the presence of tyrosine hydroxylase (TH)‐immunopositive plexuses around a subset of sensory somata of 2–3 month old GFAPpr‐NGF mice. This sympathosensory sprouting has been linked to the onset of neuropathic pain. In this current study, we demonstrated morphological changes of TH‐immunopositive plexuses in ganglia of aged (i.e., 11–14 month and 16–18 month old) GFAPpr‐NGF mice. Double immunolabeling revealed an association between reactive satellite glial cells (and some reactive macrophages) and TH‐immunopositive plexuses in aged mice, compared to younger transgenic mice. In addition, TH‐immunopositive plexuses in aged mice were associated with injured sensory neurons. Our results are the first to report changes in the morphology of sympathetic plexuses in sensory ganglia of aged mice. These results suggest that the presence of sympathetic plexuses around sensory somata may be slowly damaging the associated sensory neurons. That is, sympathosensory sprouting in aged mice likely compromises the function of sensory neurons, which may have profound implications for neuropathic pain. This work was supported by grants from Canadian Institutes of Health Research (CIHR; MDK) and by a Banting and Best Studentship from CIHR (LJS).
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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) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".