Schisandrin B alleviates acute oxidative stress via modulation of the Nrf2/Keap1-mediated antioxidant pathway
Bibliographic record
Abstract
Schisandrin B (Sch B), one of the main effective components of the dried fruit of Schisandra chinensis, protects neurons from oxidative stress in the central nervous system. Here we investigated the neuroprotective effect of Sch B against damage caused by acute oxidative stress and attempted to define the possible mechanisms. Using the elevated plus maze and open field test, we found that forced swimming, an acute stressor, significantly induced anxiety-like behavior that was alleviated by oral Sch B treatment. In addition, the Sch B treatment reduced toxicity, malondialdehyde levels, and production of reactive oxygen species, an important factor for neuron damage. Antioxidants under the control of the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway, such as superoxide dismutase and glutathione, were significantly increased by Sch B treatment. Moreover, a higher percentage of intact cells in the amygdala of treated mice, revealed by Nissl staining, further verified the neuroprotective effect of Sch B. Several proteins, such as Nrf2 and its endogenous inhibitor Kelch-like ECH-associated protein 1 (Keap1), were abnormally expressed in mice subjected to forced swimming, but this abnormal expression was significantly reversed by Sch B treatment. Our results suggest that Sch B may be a potential therapeutic agent against anxiety associated with oxidative stress. The possible mechanism is neuroprotection through enhanced antioxidant activity.
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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) | 0.000 | 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 | 0.000 |
| 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".