Effect of ageing and diabetes on glucose‐dependent insulinotropic polypeptide and dipeptidyl peptidase IV responses to oral glucose
Bibliographic record
Abstract
AIMS: Glucose-dependent insulinotropic polypeptide (GIP) acts on the pancreas to potentiate glucose-induced insulin secretion (enteroinsular axis). GIP is rapidly inactivated in vivo by the enzyme dipeptidyl dipeptidase IV (DPP-IV). The current studies were designed to examine the effect of ageing, obesity and diabetes on GIP and DPP-IV responses to oral glucose. METHODS: Healthy controls (nine middle-aged, age 42 +/- 2 years, body mass index (BMI) 33 +/- 1 kg/m2; nine elderly, age 71 +/- 1 years, BMI 30 +/- 1 kg/m2) and patients with Type 2 diabetes (12 middle-aged, age 44 +/- 2 years, BMI 34 +/- 2 kg/m2; 19 elderly, age 74 +/- 1 years, BMI 31 +/- 1 kg/m2) underwent a 3-h oral glucose tolerance test (OGTT) (glucose dose 40 g/m2). RESULTS: Insulin responses were similar in elderly controls and patients with diabetes, but were lower in middle-aged patients with diabetes than in controls (308 +/- 65 vs. 640 +/- 109 pM, P < 0.05). GIP responses were similar in controls and patients with diabetes in each age group, but were higher in elderly controls (middle-aged 45 +/- 13; elderly 112 +/- 13 pM, P < 0.01) and patients with diabetes (middle-aged 55 +/- 10; elderly 99 +/- 10 pM, P < 0.01). DPP-IV levels were lower in patients with diabetes in both middle-aged (control 0.241 +/- 0.015; diabetes 0.179 +/- 0.017 delta OD/20 min, P < 0.05) and elderly groups (control 0.223 +/- 0.019; diabetes 0.173 +/- 0.010 delta OD/20 min, P < 0.05). CONCLUSIONS: It was concluded that ageing in obese subjects is associated with enhanced GIP responses to oral glucose. In addition, DPP-IV activity is reduced in middle-aged and elderly obese patients with diabetes.
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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 | 0.001 | 0.001 |
| 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) | 0.001 | 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".