Octaphlorethol A: a potent α-glucosidase inhibitor isolated from Ishige foliacea shows an anti-hyperglycemic effect in mice with streptozotocin-induced diabetes
Bibliographic record
Abstract
α-Glucosidase inhibitors are important agents for decreasing postprandial hyperglycemia. The current study examined the inhibitory effects of octaphlorethol A (OPA) isolated from Ishige foliacea, a brown alga, on α-glucosidase, and analyzed the inhibitor's binding modes using the crystal structure of α-glucosidase. The effects of OPA on postprandial blood glucose levels after meals were also investigated. The IC50 value of OPA against α-glucosidase was 0.11 mM, which is higher than that of the commercial inhibitor acarbose. For further insights, we predicted the 3D structure of α-glucosidase and used a docking algorithm to simulate binding between α-glucosidase and OPA. These molecular modeling studies were successful, and indicated that OPA interacts with Phe575, His600, Arg526, Met444, Asp542, Tyr605, Ser448, Asp203, Lys480, and Phe450. Furthermore, increases in postprandial blood glucose levels were significantly suppressed in the OPA-treated group compared with those in the streptozotocin-induced diabetic or normal mice. Additionally, the area under the curve was significantly reduced following OPA administration (907 versus 1034 mg h dL(-1)) in the diabetic mice, along with a delay in the absorption of dietary carbohydrates. Collectively, these results indicated that OPA is a potent inhibitor of α-glucosidase, and shows potential to be used as an anti-diabetic agent.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".