Powerful anti-inflammatory, anti-Herpes and anticancer capacities of Thymelaea microphylla L. and TLC phenolic identification
Bibliographic record
Abstract
Thymelaea microphylla is an edible and medicinal species that exhibits high antioxidant activity and phenolic content. Moreover, four fractions (hexane, dichloromethane, methanol and water) were tested towards their ex-vivo antioxidant, anticancer, anti-inflammatory and antiviral effects. Dichloromethane fraction had marked protection against cell oxidative stress (IC50 = 1.5 µg/mL). Hexane, Dichloromethane and Methanol fractions exhibited prominent anti-proliferative activities against cancer cells especially A-549 cells, with very low IC50 values of 0.13, 0.018 and 0.5 µg/mL, respectively (50, 101 and 14 higher than Etoposide). Moreover, the three fractions showed no cytotoxicity on normal fibroblast WS-1. DCM exhibited high anti-inflammatory activity in RAW 264.7 cells. Theses fractions were also tested on herpes (HSV-1). MeOH fraction was the most active acting both directly on the virus and on its adsorption. Phenolics, terpenoids and saponins were the major classes. These findings demonstrate that T. microphylla is a very promising source of selective anticancer molecules.
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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".