Discrete responses of myenteric neurons to structural and functional damage by neurotoxins in vitro
Bibliographic record
Abstract
Damage to the enteric nervous system is implicated in human disease and animal models of inflammatory bowel disease, diabetes, and Parkinson's disease, but the mechanism of death and the response of surviving neurons are poorly understood. We explored this in a coculture model of myenteric neurons, glia, and smooth muscle during exposure to the established or potential neurotoxins botulinum A, hydrogen peroxide, and acrylamide. Neuronal survival, axonal degeneration and regeneration, and neurotransmitter release were assessed during acute exposure (0-24 h) to neurotoxin and subsequent recovery (96-144 h). Unique and selective responses to each neurotoxin were found with acrylamide (0.5-2.0 mM) causing a 30% decrease in axon number without neuronal loss, whereas hydrogen peroxide (1-200 microM) caused a parallel loss in both axon and neuron number. Immunoblotting identified the loss of synaptic vesicle proteins that paralleled axon damage and was associated with marked suppression of depolarization-induced release of acetylcholine (ACh). The caspase inhibitor zVAD, but not DEVD, significantly prevented neuronal death, implying a largely caspase-3/7-independent mechanism of apoptotic death that was supported by staining for annexin V and cleaved caspase-3. In contrast, botulinum A (2 microg/ml) caused a 40% decrease in ACh release without effect on neuronal survival or axon structure. By 96 h after exposure to acrylamide or hydrogen peroxide, axon number was restored to or even surpassed the level of time-matched controls, regardless of partial neuronal loss, but ACh release remained markedly suppressed. Neural responses to toxic factors are initially unique but then converge upon robust axonal regeneration, whereas neurotransmitter release is both vulnerable to damage and slow to recover.
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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 | 0.001 |
| 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".