Nerve growth factor sensitivity is broadly distributed among myenteric neurons of the rat colon
Bibliographic record
Abstract
Nerve growth factor (NGF) acts on the two-receptor system of trkA and p75 to mediate neuroprotection and influence phenotype and function in the peripheral nervous system, but the effects of NGF on the enteric nervous system (ENS) are virtually unknown. To establish a basis for enteric responsiveness to NGF, we studied the presence and distribution of NGF-sensitive receptors in the myenteric neurons of the normal rat colon and examined their activation via trkA phosphorylation. Fluorescent immunocytochemistry on wholemounts showed that the two NGF receptors were abundantly present in the ENS, with 71% of all neurons positive for trkA and 78% for p75. More thanr 60% of the myenteric neurons expressed both receptors, and exogenous application of NGF resulted in trkA phosphorylation, evidence for high NGF sensitivity within the ENS. trkA was co-expressed with choline acetyltransferase (61% of trkA-positive neurons), neuronal nitric oxide synthase (22%), or calbindin (10%), suggesting widespread potential for NGF action. We conclude that functional receptors for NGF are widely distributed among the diverse enteric phenotypes and argue for a novel NGF-mediated regulatory system within the ENS.
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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".