Evaluation of genotoxic and antigenotoxic properties of essential oils of Seseli rigidum Waldst. & Kit. (Apiaceae)
Bibliographic record
Abstract
The essential oils of genus Seseli are known for their beneficial biological activities and could present novel targets in the development of safe and effective preparations of plant products. The objective was to test the essential oils of different parts of Seseli rigidum from two natural habitats for potential genotoxic and antigenotoxic activities against H202-induced DNA damage in human whole blood cells in vitro, by the comet assay. The essential oil analysis showed a high falcarinol content in oil from the root, while oils of the fruit and aerial parts contained ?-pinene as the main compound. Genotoxicity was not detected at any of the concentrations of the essential oils from the three parts of the plant from localities I and II. Although the antioxidant activity (established by the FRAP and DPPH tests) of the investigated oils was low, all oils demonstrated a strong antigenotoxic effect against H2O2-induced damage post-treatment, when the oils were applied after the oxidant. Based on the lack of pretreatment activity and the post-treatment reduction in DNA damage, the antigenotoxic effect of S. rigidum essential oils was probably based on the stimulation of DNA repair mechanisms. Environmental conditions did not affect the antigenotoxic properties of the oils. In conclusion, our results revealed the antigenotoxic properties of S. rigidum essential oils and appropriate and safe doses with beneficial effects under the described conditions.
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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) | 0.000 | 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".