Molecular Mechanisms of Fas-Mediated Cell Death in Oligodendrocytes
Bibliographic record
Abstract
Oligodendrocyte cell death is a significant component of the secondary damage following spinal cord injury (SCI) and other neurodegenerative disorders. However, the mechanisms underlying oligodendroglial apoptotic cell death and the potential relationship to Fas receptor (FasR) activation require further clarification. Here, using MO3.13, a human oligodendroglial cell line, we show clear evidence of apoptosis upon exposure to soluble Fas ligand (sFasL). Apoptosis was linked to caspase-8, -9, and -3 activity and resulted in DNA fragmentation detected by deoxynucleotide transferase dUTP nick end-labeling (TUNEL). Dissipation of mitochondrial membrane potential (DeltaPsim) was an early event and temporally coincided with mitochondrial outer membrane permeability (MOMP), demonstrated by the presence of cytochrome c and apoptosis inducing factor (AIF) in cytosolic fractions. Pretreatment with 100 microM of the caspase inhibitor zVAD-fmk prior to sFasL exposure reduced caspase activation, the dissipation of DeltaPsim, MOMP, and apoptotic cell death. These data provide clear evidence that Fas activation induces apoptosis in oligodendrocytes signaling through intrinsic and extrinsic events. Moreover, we provide evidence for the first time that AIF may play a role in caspase-independent apoptotic execution following Fas activation of oligodendrocytes. These data also add to an emerging body of evidence, which strongly implicates Fas-mediated apoptosis of oligodendrocytes as a potential mediator in the pathobiology of a variety of neurological disorders, including SCI.
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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".