GLUT2 polymorphism modifies the intake of dietary carbohydrates in individuals with Type 2 Diabetes
Bibliographic record
Abstract
Glucose transporter type II (GLUT2) has been implicated in impaired control of feeding in GLUT2‐null mice, however, the effect in humans is not known. To determine its role in humans, genetic variations of the GLUT2 gene were studied in 109 individuals (54 male, 55 female) with type 2 diabetes, aged 42–75 years, and with a BMI > 25kg/m 2 . DNA was isolated from white blood cells and subjects were genotyped for the GLUT2 Thr110Ile polymorphism using real‐time PCR. Dietary intake was assessed using 3‐day food records. Dietary intakes between genotypes were compared using unpaired t‐tests adjusted for age, sex and BMI. In comparison to individuals with the Thr/Thr genotype, carriers of the Ile allele consumed higher daily average intakes of carbohydrates (252 ± 67 g vs. 203 ± 69 g, p=0.006), and sugars (103 ± 35 g vs. 81 ± 36 g, p=0.01). However, total calories, protein, fat, alcohol, fiber and the glycemic index did not differ between genotypes. In summary, our results suggest that GLUT2 plays a role in glucose sensing in humans and may explain individual variations in preference for carbohydrate‐rich foods. Supported by CIHR (MCT‐44205).
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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) | 0.000 | 0.000 |
| 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) | 0.003 | 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".