Abstract 411: Effect of Sitagliptin Therapy on Triglyceride-Rich Lipoprotein Kinetics in Patients With Type 2 Diabetes
Bibliographic record
Abstract
Postprandial hyperlipemia is a key metabolic feature of insulin-resistant states and an important risk factor for cardiovascular disease, due to the accumulation of atherogenic triglyceride (TG)-rich lipoproteins (TRL) from both hepatic and intestinal origin. Sitagliptin is a selective inhibitor of dipeptidyl peptidase-4 that has been shown to reduce fasting and postprandial glucose levels in patients with type 2 diabetes (T2D) presumably through incretin hormone-mediated improvements in islet function. The objective of the present study was to investigate the effects of sitagliptin therapy on the kinetics of TRL apolipoprotein (apo) B-48, VLDL apoB-100, apoE and apoC-III in patients with type 2 diabetes. Twenty two subjects with T2D (18 men and 4 postmenopausal women, mean age of 58.2±3.8 y) were recruited in this double-blind crossover study using sitagliptin 100 mg/d or placebo for a 6-week period each, with a 4-week washout period between the two phases. At the end of each phase of treatment, the in vivo kinetics of the different apolipoproteins were assessed using a primed-constant infusion of L-[5,5,5-D3]leucine for 12 h with the participants in a constantly fed state. Sitagliptin therapy vs. placebo significantly reduced concentrations of fasting plasma TG (-15.4%, 0.03), apoB-48 (-16.3%, P=0.03), free fatty acids (-9.5%, P= 0.04), HbA1C (placebo: 7.0%±0.8 vs sitagliptin: 6.6%±0.7, P<0.0001), and plasma glucose (-13.5%, P=0.001) without any significant effect on insulin level. Treatment with sitagliptin significantly reduced the pool size of TRL apoB-48 by -20.8% (P=0.03), due to a reduction in the production rate of these particles (-16.0%, P=0.03). VLDL apoB-100 pool size was also significantly decreased by sitagliptin therapy (-9.3%, P=0.03), mainly due to a reduction in the hepatic secretion of these lipoproteins (-9.2%, P=0.06). Finally, sitagliptin treatment had no effect on VLDL apoC-III and apoE levels, but reduced both fractional catabolic and production rates of VLDL apoE (-10.6%, P=0.05 and -12.7%, P=0.04). In conclusion, treatment with sitagliptin for 6 weeks reduces TG-rich apoB-containing lipoproteins levels through a reduction in the synthesis of these particles in patients with T2D.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".