Immune System Induction of Nerve Growth Factor in an Animal Model of Multiple Sclerosis: Implications in Re-Myelination and Myelin RepairATION AND MYELIN REPAIR
Bibliographic record
Abstract
Nerve growth factor (NGF) expression is augmented during neuroinflammation. However, its function in the dorsal root ganglia (DRG) and spinal cord (SC) during experimental autoimmune encephalomyelitis (EAE), the inflammatory model of Multiple Sclerosis, is indistinct. Thus, the role of antigenically induced NGF in Lewis rats under a state of EAE was considered. NGF mRNA and protein expression were highly increased in DRG and SC tissues in animals with EAE. Between 18 and 24 days post induction (dpi), NGF mRNA and protein were elevated in the DRG, correlating with neurological recovery. In the SC, an increase in NGF protein at 12 dpi was, in contrast, preceded by neurological recovery. NGF mRNA expression became elevated in the SC at 15 dpi at the onset of neurological improvement and amelioration of EAE. This study revealed that antigenic induction of the 25 kDa pro-NGF isoform is associated with the disease course of EAE. Our findings suggest the induction of NGF represents an adaptive response against immune-mediated neuroinflammation in the DRG and SC that likely contributes to the EAE attenuation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".