Pretreatment with<i>Bacopa monnieri</i>extract offsets 3-nitropropionic acid induced mitochondrial oxidative stress and dysfunctions in the striatum of prepubertal mouse brain
Bibliographic record
Abstract
The present investigation was designed to determine the efficacy of Bacopa monnieri (Brahmi; BM) to offset 3-nitropropionic acid (3-NPA) induced oxidative stress and mitochondrial dysfunction in dopaminergic (N27) cells and prepubertal mouse brain. Pretreatment of N27 cells with BM ethanolic extract (BME) significantly attenuated 3-NPA-induced cytotoxicity. Further, we determined the degree of oxidative stress induction, redox status, enzymic antioxidants, and protein oxidation in the striatal mitochondria of mice given BME prophylaxis followed by 3-NPA challenge. While 3-NPA-induced marked oxidative stress in the mitochondria of the striatum, BME prophylaxis markedly prevented 3-NPA-induced oxidative dysfunctions and depletion of reduced glutathione and thiol levels. The activities of antioxidant enzymes (superoxide dismutase, glutathione peroxidase, glutathione reductase, thioredoxin reductase), Na(+),K(+)-ATPase, and citric acid cycle enzymes in the striatum discernible among 3-NPA mice were significantly restored with BME prophylaxis. Interestingly, BME offered protection against 3-NPA-induced mitochondrial dysfunctions as evidenced by the restoration of the activities of ETC enzymes (NADH:ubiquinone oxidoreductase, NADH:cytochrome c reductase, succinate-ubiquinone oxidoreductase, and cytochrome c oxidase) and mitochondrial viability. We hypothesize that the neuroprotective effects of BME may be wholly or in part related to its propensity to scavenge free radicals, maintain redox status, and upregulate antioxidant machinery in striatal mitochondria.
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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) | 0.001 | 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".