Abstract 167: Dietary Medium-chain Triglyceride Supplementation Has No Effect on Apolipoprotein B-48 and Apolipoprotein B-100 Kinetics in Insulin-resistant Males
Bibliographic record
Abstract
Medium-chain triglyceride (MCT) supplements are used by clinicians to treat patients with severe hypertriglyceridemia at risk for pancreatitis. However, the potential mechanisms underlying the triglyceride-lowering effects of MCT have not been thoroughly examined yet in human. This double-blind crossover study compared the impact of a 4-week supplementation with MCT oil 20 g/d vs corn oil 20 g/d on the intravascular kinetics of apolipoprotein (apo) B-48-containing triglyceride-rich lipoproteins (TRL) and apoB-100-containing VLDL as well as on the expression of key intestinal genes involved in lipid metabolism in 28 obese insulin-resistant males. In vivo kinetics of TRL apoB-48 and VLDL apoB-100 were assessed using a primed-constant infusion of L-[5,5,5-D3]leucine for 12h in the fed state. Expression of key intestinal genes involved in lipid metabolism was assessed in a subgroup of participants (n=16) by real-time PCR quantification in duodenal biopsy performed at the end of each phase of the supplementation in the fasted state. Compared with corn oil, MCT supplement had no significant effect on plasma lipoprotein profile and the TRL apoB-48 and VLDL apoB-100 kinetics. There were significant positive correlations at the end of the MCT supplementation between expression of SREBP-2 and expression of HNF-4α (r=0.51; P<0.05), HMGCoAR (r=0.75; P<0.001), ACAT-2 (r=0.51; P<0.05), NPC1L1 (r=0.66; P<0.05), ACS-1 (r=0.74; P<0.001), LDL receptor (r=0.67; P<0.05) and PCSK-9 (r=0.60; P<0.05) in intestinal tissue. However, MCT supplement had no significant impact on the expression of those key lipid and fatty acid regulation genes compared with corn oil. These data indicate that 4-week supplementation with MCT in obese insulin resistant men has no effect on TRL apoB-48 and VLDL apoB-100 kinetics and on the intestinal expression of genes involved in lipid and fatty acid metabolism.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".