Effect of Insulin and Energy Restriction on the Thermic Effect of Protein in Type 2 Diabetes Mellitus
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to test whether the thermic effect of oral protein is blunted in poorly controlled type 2 diabetes and is corrected by normalization of glycemia with insulin and 28 days of a very-low-energy diet. RESEARCH METHODS AND PROCEDURES: Resting energy expenditure (REE) and the thermic effect of 90 g of oral protein were measured, using indirect calorimetry, in nine (five women and four men) obese diabetic people [weight, 108 +/- 10 kg; waist circumference, 123 +/- 8 cm; body mass index, 40 +/- 3 kg/m(2)] who were hyperglycemic on day 8 or euglycemic with insulin on day 16 of a weight-maintaining diet and euglycemic on day 28 of a very low energy diet (VLED). Results were compared with those of seven (six women and one man) weight- and body mass index-matched obese nondiabetic subjects with a waist circumference of 111 +/- 6 cm. Substrates and hormonal responses were determined concurrently. RESULTS: Fasting glucose was normalized in the diabetic subjects with insulin from day 9 of VLED onward. Weight decreased in both groups by 9.9 +/- 0.9 kg with VLED. REE was 8 +/- 2% lower with insulin treatment and decreased by another 14 +/- 3% with VLED in the diabetic and by 15 +/- 1% in the nondiabetic subjects by week 4. After the protein meal, the thermic response was significantly (p < 0.05) less with hyperglycemia than with insulin-induced euglycemia, as percentage above REE (15.3 +/- 1.4 compared with 21.2 +/- 1.5%), as percentage of the energy content of the meal (19.5 +/- 1.5 compared with 25.2 +/- 1.7%), as kilocalories per 405 minutes (86 +/- 5 compared with 110 +/- 7), and less than in nondiabetic obese controls (21.0 +/- 2.2% above REE, 24.4 +/- 1.7% of energy of meal). After the VLED, the thermic effect of protein was significantly higher in both groups only as percentage above REE. The initial glucagon response was greater with hyperglycemia compared with euglycemia and post-VLED but not compared with the nondiabetic subjects. Hyperglycemia was associated with 21 +/- 4% greater urinary urea nitrogen excretion and urinary glucose losses of 134 +/- 50 mmol/d. DISCUSSION: This study shows a blunted thermic effect of protein in obese hyperglycemic type 2 diabetic subjects compared with matched nondiabetic subjects that can be corrected with insulin- or energy restriction-induced euglycemia.
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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".