In vitro cytotoxic, thrombolytic, anthelmintic and antioxidant activities of Litsea monopetala: a medicinal plant
Bibliographic record
Abstract
The present study was conducted to assess the cytotoxicity, thrombolytic, anthelmintic and antioxidant activity of mehanolic extract of Litsea monopetala (Family: Lauraceae) leaves in laboratory using in vitro methods. Cytotoxicity test was done by brine shrimp lethality bioassay where the extract concentration was 400, 200, 100, 50, 25, 12.5, 6.25, 3.125, 1.5625, 0.78125 (µg/ml). In vitro thrombolytic activity of Litsea monopetala was performed by clot lysis method using extract concentration 2.5, 5, 10 and 20 (mg/mL) in saline water. Anthelmintic activity test was done by using adult earthworms where 10, 20, 40, 60, 80 (mg/ml) extract concentration were used. Finally antioxidant activity was determined by total phenolic content determination using Folin-Ciocalteu reagent. The Litsea monopetala extract showed cytotoxic activity against brine shrimp nauplii and LC50 value was 41.05(µg/ml) and the investigated thrombolytic activity in our research was 9.52, 9.49, 13.64 and 17.50 % respectively as % of clot lysis. The paralysis time were at 76.75 min, 60 min, 51.75 min, 44.5 min and 64.5 min and death were at 90.50min, 63.75min, 55.50min, 44.75min and 71min. respectively. The Litsea monopetala extract displayed significant antioxidant activity which was 20.75 (mg of GAE / gm) of extracts. The activities observed could be attributed to presence of some of the phytochemicals which have been related with cytotoxic, thrombolytic, anthelmintic and antioxidant property.
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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) | 0.002 | 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".