Alpha‐glucogenic activity of mammalian mucosal enzymes on different disaccharides
Bibliographic record
Abstract
Small intestine mucosal maltase‐glucoamylase (MGAM) and sucrase‐isomaltase (SI) have two subunits each (N‐ and C‐ terminal) that are involved in the digestion of glycemic carbohydrates to glucose and fructose from diets. In this study, recombinant MGAM and SI enzymes were reacted with disaccharides, namely kojibiose, nigerose, maltose, and isomaltose each containing two glucose molecules as well as sucrose, but with different á‐linkages, to elucidate their digestion abilities. Reactions were carried at 37°C in 10 mM PBS and one unit (U) enzyme activity was defined as 1 μg of glucose released from maltose per 10 min. After enzyme reactions, released glucose was measured by the GOPOD method. Notably, each of the four subunits had á‐(1, 2), (1, 3) and (1, 4) hydrolysis activities, but N‐SI at 100 U was the only one to have á‐(1, 6) hydrolysis activity. Moreover, every subunit had á‐(1, 6) hydrolysis activity at higher enzyme concentration (above 2500 U of subunits except N‐SI). Each subunit had á‐glucosidase activity on different glycosidic linkages though maltase activity was at least 25 times greater than isomaltase activity. Also, only C‐SI and C‐MGAM showed sucrase activity with relatively lower than maltase activity. This is the first report of á‐glucogenic activity of disaccharides for each mucosal enzyme subunit and provides a new view of carbohydrate digestion model in the small intestine. Grant Funding Source : CNRC/ARS/USDA
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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) | 0.000 | 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 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".