Synergistic effects of low level stressors in an oxidative damage model of spinal motor neuron degeneration
Bibliographic record
Abstract
BACKGROUND: An increase in reactive oxygen species (ROS) burden and subsequent oxidative damage to nucleic acids, proteins, and lipids, occurs during the normal aging process of cells, including neurons. OBJECTIVE: With this in mind we hypothesize that an oxidative stress which leads to an increased state of oxidation, but is not itself lethal, nonetheless renders the motor neuron more vulnerable to other sublethal stressors. METHOD AND RESULTS: We have combined paraquat-induced oxidative stress with sublethal increased exogenous glutamate, or thermal stress, or a combination of both, and demonstrate a synergistic effect of low-level stressors on the viability of motor neurons. CONCLUSION: This model of low-level oxidative stress reveals the subsequent vulnerability of motor neurons to genetic or environmental stressors and may in part explain the mid-life/late-life symptom onset in both familial and sporadic ALS patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".