Inhibition of Apoptosome Activation Protects Injured Motor Neurons from Cell Death
Bibliographic record
Abstract
Within the mammalian central nervous system many forms of neurodegenerative injury are regulated via programmed cell death, a highly conserved program of cellular suicide. Programmed cell death is regulated by multiple signaling pathways, which have been identified within mammalian cells, although several lines of evidence suggest that the intrinsic pathway predominantly regulates the death of motor neurons following acute injury in vivo. We have tested this hypothesis by performing facial axotomies on cytochrome c knock-in mice containing a point mutation in the genomic locus of cytochrome c resulting in a lysine to alanine conversion at position 72 of the protein. The introduced mutation inhibits the ability of cytochrome c to induce the formation of the apoptosome, a protein complex that is principally required for the activation of the intrinsic pathway, but does not alter its function in oxidative phosphorylation. Homozygous cytochrome c knock-in mutants displayed a significant enhancement in motor neuron survival following injury when compared with littermate controls, thus establishing the apoptosome as a viable target for protecting motor neurons from neural injury. However, protection of facial motor neurons differs from that previously reported in mice either overexpressing anti-apoptotic or lacking pro-apoptotic members of the Bcl-2 family, which are thought to regulate several aspects of mitochondrial dysfunction including the release of cytochrome c from the mitochondria to the cytoplasm. Therefore, these results directly demonstrate for the first time the influence of the apoptosome on injury-induced neuronal programmed cell death in vivo isolated from upstream Bcl-2 family-mediated effects.
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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 | 0.000 | 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".