Overexpression of nerve growth factor by murine smooth muscle cells: Role of the p75 neurotrophin receptor on sympathetic and sensory sprouting
Bibliographic record
Abstract
Elevating levels of nerve growth factor (NGF) can have pronounced effects on the survival and maintenance of distinct populations of neurons. We have generated a line of transgenic mice in which NGF is expressed under the control of the smooth muscle α-actin promoter. These transgenic mice have augmented levels of NGF protein in the descending colon and urinary bladder, so these tissues display increased densities of NGF-sensitive sympathetic efferents and sensory afferents. Here we provide a thorough examination of sympathetic and sensory axonal densities in the descending colon and urinary bladder of NGF transgenic mice with and without the expression of the p75 neurotrophin receptor (p75NTR). In response to elevated NGF levels, sympathetic axons (immunostained for tyrosine hydroxylase) undergo robust collateral sprouting in the descending colon and urinary bladder of adult transgenic mice (i.e., those tissues having smooth muscle cells); this sprouting is not augmented in the absence of p75NTR expression. As for sensory axons (immunostained for calcitonin gene-related peptide) in the urinary bladders of transgenic mice, fibers undergo sprouting that is further increased in the absence of p75NTR expression. Sympathetic axons are also seen invading the sensory ganglia of transgenic mice; these fibers form perineuronal plexi around a subpopulation of sensory somata. Our results reveal that elevated levels of NGF in target tissues stimulate sympathetic and sensory axonal sprouting and that an absence of p75NTR by sensory afferents (but not by sympathetic efferents) leads to a further increase of terminal arborization in certain NGF-rich peripheral tissues.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".