Evaluation of Asarum europaeum L. Rhizome for the Biological Activities Related to Alzheimer’s Disease
Bibliographic record
Abstract
Background and objectives: Asarum europaeum L. is an herbal medicine belonging to the family Aristolochiaceae. The rhizome of the plant has been used for the treatment of various diseases in complementary and alternative medicine of various countries. In Iranian traditional medicine (ITM), the aqueous extract of the rhizome has been used for the improvement and enhancement of memory. Methods: In the present study, the aqueous and hydroalcoholic extracts as well as different fractions of A. europaeum rhizome were evaluated for their cholinesterase (ChE), acetyl- and butyrylcholinesterase (AChE and BChE) inhibitory activity viamodified Ellman's method. Results: The ethyl acetate fraction selectively showed the most suitable anti-AChE activity (IC50 = 99.69 µg/mL); none of the extracts or fractions demonstrated anti-BChE activity. In this regard, the ethyl acetate fraction was candidate for the investigation of further biological activities such as antioxidant activity, neuroprotectivity, and metal chelating ability related to Alzheimer’s disease. It depicted favorable neuroprotectivity at concentration of 100 μg/mL against the toxicity of exposure to H2O2 in PC12 cells (p£0.001, cell viability = 80/60%) and chelating ability towards zinc, iron, and copper ions. The results of antioxidant activity by DPPH assay showed that the ethyl acetate fraction was much more potent than BHA as the reference drug. Conclusion: The ethyl acetate fraction ofA. europaeum L. showed potent biological activities involved in Alzheimer’s disease and needs complementary investigations to develop an herbal product against Alzheimer’s disease.
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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 | 0.001 |
| 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) | 0.002 | 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".