Exploring The Therapeutic Potential: In-Vitro Assessment of Antioxidant and Anti-Inflammatory Activity Of methanolic extract from Tabernaemontana divaricata Leaves
Bibliographic record
Abstract
Introduction: Medicinal plants have various applications in the field of medical sciences. Plants are wide source of numerous phyto-constituents which have been proved to have multiple health benefits. Literature says that leaves of Tabernaemontana divaricata are loaded with such phyto-chemicals which can be a target in case of treatment of various infectious diseases. In Ayurvedic Medicine, the juice form of flower buds is mixed with oil and applied to the skin to treat inflammation. is also used in dental care, for scabies, as cough medicine and for eye ailments Aim: To evaluate in-vitro antioxidant and anti-inflammatory activity of the methanolic extract of the leaves of Tabernaemontana divaricate. Method: Methanolic extraction of the leaves of Tabernaemontana divaricata was made by using maceration method for 5 days and solvent was evaporated using rotary evaporator. To evaluate the anti-oxidant property, total phenolic content and total flavonoid content was measured against gallic acid and quercetin as reference. The in-vitro anti-inflammatory study was performed using techniques like heat induced hemolysis, hypotonicity induced hemolysis, protein denaturation study and protease inhibitory activity using goat blood cell. Result: The total flavonoids content and total phenolic content were 38.57μg/ml and 45.48μg/ml respectively. The IC50 (Inhibitory concentration 50%) value was measured for each anti-inflammatory study. The IC50 value were 416 μg/ml, 166.66 μg/ml, 188 μg/ml and 280 μg/ml for the methods heat induced hemolysis, hypotonicity induced hemolysis, protein denaturation study and protease inhibitory activity respectively Conclusion: In conclusion, the methanolic extract of Tabernaemontana divaricata leaves exhibited significant antioxidant and anti-inflammatory properties. The high content of flavonoids and phenolic compounds underscores its potential therapeutic value. The extract demonstrated promising inhibitory effects against various inflammation-inducing mechanisms, as evidenced by the low IC50 values in the in-vitro anti-inflammatory assays. These findings support the traditional uses of Tabernaemontana divaricata in treating inflammation-related conditions. Further research exploring its mechanisms of action and potential clinical applications is warranted
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".