Increased mitochondrial antioxidative activity or decreased oxygen free radical propagation prevent mutant SOD1‐mediated motor neuron cell death and increase amyotrophic lateral sclerosis‐like transgenic mouse survival
Bibliographic record
Abstract
The molecular mechanisms of selective motor neuron degeneration in human amyotrophic lateral sclerosis (ALS) disease remain largely unknown and effective therapies are not currently available. Mitochondrial dysfunction is an early event of motor neuron degeneration in transgenic mice overexpressing mutant superoxide dismutase (SOD)1 gene and mitochondrial abnormality is observed in human ALS patients. In an in vitro cell culture system, we demonstrated that infection of mouse NSC-34 motor neuron-like cells with adenovirus containing mutant G93A-SOD1 gene increased cellular oxidative stress, mitochondrial dysfunction, cytochrome c release and motor neuron cell death. Cells pretreated with highly oxidizable polyunsaturated fatty acid elevated lipid peroxidation and synergistically exacerbated motor neuron-like cell death with mutant G93A-SOD1 but not with wild-type SOD1. Similarly, overexpression of mitochondrial antioxidative genes, MnSOD and GPX4 by stable transfection significantly increased NSC-34 motor neuron-like cell resistance to mutant SOD1. Pre-incubation of cells with spin trapping molecule, 5',5'-dimethylpryrroline-N-oxide (DMPO), prevented mutant SOD1-mediated mitochondrial dysfunction and cell death. Furthermore, treatment of mutant G93A-SOD1 transgenic mice with DMPO significantly delayed paralysis and increased survival. These findings suggest a causal relationship between enhanced oxidative stress and mutant SOD1-mediated motor neuron degeneration, considering that enhanced oxygen free radical production results from the SOD1 structural alterations. Molecular approaches aimed at increasing mitochondrial antioxidative activity or effectively blocking oxidative stress propagation can be potentially useful in the clinical management of human ALS disease.
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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".