Evaluation of Pharmacodynamic interaction between Tinospora Cordifolia Alcoholic extract and Gliclazide : An herb-drug interaction study
Bibliographic record
Abstract
Many diabetic people today consume herbs or herbal formulations along with prescription and non-prescription medications which may result in the herb-drug interaction Tinospora Cordifolia, with berberine being one of the most abundant active phytoconstituent widely used as an antidiabetic While Gliclazide is indicated to treat type 2 diabetes mellitus whichacts asan insulin secretagogue .T. Cordifolia is a potent inhibitor of CYP2C9 and Gliclazide is known to be metabolized by this enzyme. Potential Pharmacodynamic herb drug interaction might be possible in case of co administration of both. The pharmacodynamic interaction between TCE and Gliclazide was evaluated on hypoglycemic activity in normal and streptozotocinnicotinamide-induced diabetic rats. The study was conducted in 2 parts viz. acute study and sub-acute study in both normal and diabetic animals. The serum triglyceride level and histopathology of pancreawas performed to assess effect on glucose metabolism and pancreas.FTIR Analysis was also carried out to evaluate the interaction between functional groups. The combination showed pharmacodynamic interaction as reduction the time of onset of action and increasing the duration of action of gliclazide when administered in combination with T. cardiofolia. In FTIR studies of combination showed no physical interaction betweenfunctional groups suggesting both drugs might be acting on the different receptors. The study concludes that the combination of Gliclazide with TCE showed an increase in the hypoglycemic effect as compared to the gliclazide alone in STZ-NIC induced diabetic rats. This might be utilized clinically as a beneficial drug interaction in patients after thorough investigations in clinical studies
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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 | 0.002 | 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) | 0.000 | 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".