Use of an α‐glucosidase inhibitor to maintain glucose homoeostasis during postprandial exercise in intensively treated Type 1 diabetic subjects
Bibliographic record
Abstract
AIM: We evaluated the effects of an alpha-glucosidase inhibitor, acarbose, on glucose homoeostasis during postprandial exercise in Type 1 diabetic subjects. METHODS: Seven Type 1 diabetic subjects with good glycaemic control on ultralente-regular insulin were randomized in a single blind cross-over study to acarbose 100 mg or placebo taken with a mixed meal (600 kcal, 75 g carbohydrates), followed 90 min later by 30 min of exercise at 50% maximum aerobic capacity. Glucose turnover was measured by tracer (d-[6,6,2H2]glucose) methodology, and intestinal glucose absorption was quantified using carbohydrate polymers labelled with [13C]glucose. RESULTS: Acarbose resulted in a significant decrease in the postprandial glycaemic rise (mean +/- SEM 2.9 +/- 0.6 vs. 5.0 +/- 0.7 mmol/l; P < 0.005) and in the glycaemic nadir during exercise (- 0.8 +/- 0.6 vs. 0.9 +/- 1.3 mmol/l below baseline; P < 0.05). Total glucose appearance increased similarly under the two treatments during the postprandial (27.0 vs. 27.9 micromol per kg per min) and exercise (33.9 vs. 33.5 micromol per kg per min) periods. Mean glucose absorption was significantly delayed by acarbose (7.8 vs. 10.2 micromol per kg per min; P < 0.02), but was compensated by the lack of postprandial suppression of hepatic glucose production (106% of basal hepatic glucose production vs. 81%; P < 0.006). Episodes of hypoglycaemia were no different (three vs. six). CONCLUSION: These results indicate that, in Type 1 diabetic subjects, acarbose results in a better glycaemic profile during postprandial exercise and suggest that it could lead to a lower risk of exercise-induced hypoglycaemia due to delayed glucose absorption and less suppression of hepatic glucose production.
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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 | 0.001 |
| 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) | 0.001 | 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".