Alpha Mangostin and Xanthone from Mangosteen (Garcinia mangostana L.) Role on Insulin Tolerance and PPAR-γ in Preclinical Model Diabetes Mellitus
Bibliographic record
Abstract
Objective: This research elaborated role of alpha mangostin and xanthone on insulin resistance and peroxisome proliferator–activated receptor (PPAR)-γ by measuring blood glucose level and PPAR- γ expression on adipocyte cell culture. Methods: Insulin tolerance test were conducted using male wistar rat divided into 9 groups, which were normal, control (D-Glucose induced only), glibenclamide, various doses of a-mangostin and xanthone (5, 10, 20 mg/kgbw). All group induced by D-glucose 3 g/kg orally 30 minutes later. Blood glucose levels changes were observed at 90th and 150th minute. While other study observed PPAR-γ expression on adipocyte cell culture that treated with a-mangostin/xanthone/pioglitazone in various concentration. Results: KITT in all treatment groups were significantly different (p<0.05) when compared to the positive control group, except xanthone 5 mg/kgbw. This suggests that a-mangostin 5, 10 and 20 mg/kgbw, xanthone 10 and 20 mg/kgbw, as well as metformin, have the effect of lowering insulin resistance in white rats given a 10-day fatty emulsion. Almost similar with thiazolinedione, alpha mangostin and xanthone increase PPAR-g expression in adipocyte when the concentration bigger. But xanthone effect not as good as α-mangostin or thiazolinedione effect. Conclusion: Alpha mangostin and xanthone are two substances that showed potential effect to improve insulin tolerance by increasing PPAR-g in adipocyte.
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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 | 0.001 | 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 | 0.001 |
| 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".