Cognitive enhancement of volatile oil from the stems of <i>Schisandra chinensis</i> Baill. in Alzheimer’s disease rats
Bibliographic record
Abstract
The volatile oil (VO), extracted from the stems of Schisandra chinensis Baill. (SCS), was separated and identified by gas chromatography - mass spectrometry. The study was devised to investigate the effects of VO on oxidative stress and cognitive deficits induced by amyloid-β (Aβ(1-42)). Alzheimer's disease (AD) models were established by injecting Aβ(1-42) into the rat hippocampus and the effects of learning and memory were observed by a Morris water maze test, immunohistological alterations, and correlative indicators covering nerve growth (brain-derived neurotrophic factor, glial-cell-derived trophic factor, and nerve growth factor), interleukin 1β, tumor necrosis factor, superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), malondialdehyde (MDA), glial fibrillary acidic protein (GFAP), and microglial CD11b in AD rats. And activities of SOD, MDA, and GSH-Px were ameliorated by VO. The neurotrophic factors GFAP and microglial CD11b were noticeably improved in histopathologic changes. These data suggested that VO from SCS had potential activities for the prevention and treatment of AD.
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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 | 0.001 | 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".