Effects and Mechanisms of Steviol Glycosides on Glucose Metabolism: Evidence From Preclinical Studies
Bibliographic record
Abstract
The natural sweeteners of steviol glycosides (SGs) have been widely used as a substitute for sugar due to their high sweetness, low-calorie properties, and potential health benefits. Some studies reported that SGs could regulate glucose metabolism and prevent Type 2 diabetes mellitus (T2DM); however, the detailed mechanisms remained further elucidated. Therefore, in this review, we aimed to systematically summarize the effects and mechanisms of SGs on glucose metabolism based on evidence from preclinical studies. We searched PubMed and Web of Science (up to March 31, 2024), and included a total of 40 animal and 5 cell studies for review. Results showed that SGs could improve glucose metabolism by enhancing insulin secretion, simulating insulin effects, improving insulin resistance, advancing key enzyme activities, or regulating gut microbiota. To conclude, if further validated in clinical trials and population studies, the sugar substitute of SGs may serve as a potential nutritional strategy for effective prevention and treatment of T2DM.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".