Assessment of thrombolytic, antioxidant and analgesic properties of a medicinal plant of Asteraceae family growing in Bangladesh
Bibliographic record
Abstract
Objective: This study was carried out to evaluate the thrombolytic, antioxidant and analgesic activity of plant extract of Rudbeckia hirta, a medicinal plant of Asteraceae family.Materials and Methods: For thrombolytic activity, a standard in vitro method was applied. Antioxidant activity was measured by employing method of Folin–Ciocalteu reagent (FCR) or Folin's phenol reagent or Folin–Denis reagent, also called the gallic acid equivalence method (GAE) in which the total phenolic content of methanol extract was determined. Analgesic potential of the methanolic extract was tested using the model of acetic acid induced writhing in mice.Results: The thrombolytic activity measured by a standard method revealed that this plant extract has a dose dependent thrombolytic activity. GAE method showed that the total phenolic content of methanol extract of Rudbeckia hirta was 24.56 mg of GAE/gm of extract. The analgesic activities of the plant extract were significant (p< 0.05) at the dose of 500 mg/kg-body weight in comparison with control animals; however, the activity was less than that of diclofenac Na (standard). Conclusion: Methanolic extract of Rudbeckia hirta leaves have moderate thrombolytic, antioxidant and anti-inflammatory properties.
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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) | 0.002 | 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".