Mitochondria and oxidative stress in epilepsy: advances in antioxidant therapy
Bibliographic record
Abstract
Epilepsy, affecting approximately 50 million individuals worldwide, is a neurological disorder characterized by recurrent seizures. Mitochondrial dysfunction and oxidative stress are critical factors in its pathophysiology, leading to neuronal hyperexcitability and cell death. Because of the multiple mitochondrial pathways that can be involved in epilepsy and mitochondrial dysfunction, it is optimal to treat epilepsy with multiple antioxidants in combination. Recent advancements highlight the potential of antioxidant therapy as a novel treatment strategy. This approach involves tailoring antioxidant interventions-such as melatonin, idebenone, and plant-derived compounds-based on individual mitochondrial health, including mitochondrial DNA mutations and haplogroups that influence oxidative stress susceptibility and treatment response. By combining antioxidants that target multiple pathways, reducing oxidative stress, modulating neurotransmitter systems, and attenuating neuroinflammation, synergistic effects can be achieved, enhancing therapeutic efficacy beyond that of a single antioxidant on its own. Future directions include conducting clinical trials to evaluate these combination therapies, and to translate preclinical successes into effective clinical interventions. Targeting oxidative stress and mitochondrial dysfunction through combination antioxidant therapy represents a promising adjunctive strategy to modify disease progression and improve outcomes for individuals living with epilepsy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".