Evaluation of anthelmintic, antioxidant and anti-inflammatory potential of methanolic extract of Artocarpus lacucha leaves
Bibliographic record
Abstract
Artocarpus lacucha is a medicinal plant of Moraceae family and conventionally used in diverse disorder. Investigation and design of this study was carried out to evaluate its antioxidant, anthelmintic and anti-inflammatory activity with methanolic extract of Artocarpus lacucha leaves. Thrombolytic activity was evaluated by using Perthima posthuma. For antioxidant potential total phenolic content and DPPH free radical scavenging activity test were conducted. Hypnotic solution and heat induced hemolysis was evaluated for anti-inflammatory activity. The methanolic extract of Artocarpus lacucha showed a significant anthelmintic activity in dose dependent manner that was comparable with that of standard drugs albendazole (10 mg/ml). Five different concentrations (10, 20, 30, 40 and 50 mg/ml) were used, whereas the albendazole drug at 10 mg/ml used as standard. The total phenolic content of the methanolic extract was found 74.4±0.291 while compared with gallic acid as standard. The IC50 value for the DPPH test was found 26.95±0.009. It indicates plant extract showed moderate antioxidant property. In case of membrane stabilizing assay, the methanolic extract (10 mg/ml) showed maximum effect with a value of 15.06 and 20.16% inhibition of hemolysis caused by hypotonic solution and heat respectively. On the other hand standard acetyl salicylic acid (0.10 mg/ml) revealed 53.71 and 56.32% inhibition of hemolysis induced by hypotonic solution and heat correspondingly. These pharmacological activities showed that the methanolic extract has potential anthelmintic, antioxidant and anti-inflammatory activity. Further research would help to reveal all its potency for safer new drugs in medical science. Â
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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".