Modulation of starch digestion for slow glucose release through “toggling” of mucosal α‐glucosidases by acarbose
Bibliographic record
Abstract
For digestion of starch, α‐amylase first hydrolyzes the starch structure to α‐limit dextrins (αLDx's). Complete hydrolysis to glucose then takes place through the combined action of mucosal maltase‐glucoamylase (MGAM) and sucrase‐isomaltase (SI), which have two subunits each (N‐ and C‐ terminal). In this study, we applied the concept of “toggling” through differential inhibition of subunits to examine control of glucogenesis from αLDx's with the aim of attaining slow glucose delivery to the body. Mammalian recombinant MGAM and SI subunits were individually reacted with αLDx's with varying concentrations of acarbose, a well known α‐glucosidase inhibitor. Released glucose amounts were analyzed for hydrolysis activity. Notably, results showed selective inhibitory effect on C‐terminal subunits by acarbose for starch digestion. Furthermore, K i values of C‐terminal subunits were lower than human α‐amylases which can be applied that certain amount of acarbose had inhibitory effect on the hydrolysis of αLDx's by C‐terminal subunits but not on α‐amylase for moderating glucogenesis. This result supports the concept of controlling starch digestion rate for slow glucose release through the “toggling” of activities of the mucosal α‐glucosidases by selective enzyme inhibition. Conceivably this approach could be used to treat Type II diabetes by extending postprandial blood glucose delivery to the body, and may apply as well to other metabolic syndrome‐associated diseases and conditions. This research was supported from Whistler Center for Carbohydrate Research and USDA/AFRI.
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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 | 0.000 |
| 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".