Oligodendrocyte injury in multiple sclerosis: a role for p53
Bibliographic record
Abstract
Multiple sclerosis (MS) is a neurological disorder characterized by myelin destruction and a variable degree of oligodendrocyte death. We have previously shown that overexpression of the transcription factor p53 can induce oligodendrocyte apoptosis. We investigated the mechanism of p53-induced apoptosis using primary cultures of central nervous system-derived adult human oligodendrocytes. Adenovirus-mediated p53 overexpression resulted in up-regulation of the death receptors Fas, DR4 and DR5 with subsequent caspase-mediated apoptosis of the oligodendrocytes. The oligodendrocytes were protected from p53-induced cell death by blocking signaling through Fas and/or tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) receptors. Although lower levels of p53 did not induce apoptosis, the increase in death receptor expression was sufficient to render the oligodendrocytes susceptible to apoptosis in the presence of exogenous Fas ligand and TRAIL. These ligands are present in the inflammatory milieu of active MS lesions. In situ analysis of active MS lesions revealed increased p53 expression in oligodendrocytes in lesions that featured oligodendrocyte apoptosis and cell loss. Our data provide evidence for a novel role for p53 in the pathogenesis of MS.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".