Coumarins improved type 2 diabetes induced by high-fat diet and streptozotocin in mice via antioxidation
Bibliographic record
Abstract
Coumarins extensively exist in plants and are utilized against diabetes in some folk medicines. Recent studies have demonstrated that oxidative stress plays a crucial role in the etiology and pathogenesis of diabetes mellitus. We investigated the antioxidant ability of 3 coumarins (osthole, esculin, and fraxetin) in type 2 diabetes. After being fed a high-fat diet, ICR mice were exposed to low doses of streptozotocin and then treated with experimental coumarins for 5 weeks. We found osthole, esculin, and metformin significantly lowered fasting blood glucose, HOMA-IR, and 3 blood lipids (total cholesterol, total triglyceride, free fatty acids), and increased insulin levels, while fraxetin only enhanced insulin levels and lessened free fatty acids. Both osthole and esculin had antioxidative effects in pancreas through elevating the activities of glutathione peroxidase, catalase, and superoxide dismutase; fraxetin, however, merely heightened catalase activity. By contrast, 3 coumarins significantly increased those antioxidase activities in liver. Hematoxylin and eosin staining revealed 3 coumarins, especially osthole, attenuated cellular derangement, blurry fringes of hepatic sinusoid and extensive vacuolization due to hepatocellular lipid accumulation, and lessened inflammatory infiltration in pancreas. The glomerular and islet structure of diabetic mice were improved, with reduced mesangial matrix and glomerular basement membrane thickening. Therefore, our study supports that coumarins could be promising candidates against type 2 diabetes through antioxidative mechanisms.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".