Lower Postprandial Lipemia After Palmitic Acid-rich Fats with and Without Interesterification Is Associated with Increased Atherogenic Lipoproteins versus a High MUFA Oil (OR19-03-19)
Bibliographic record
Abstract
Interesterified (IE) fats are commonly used as hard fat alternatives to trans fats. However, their health effects are unknown. Postprandial lipemia is an independent risk factor for CVD; a prolonged postprandial lipemia may detrimentally impact lipoprotein remodelling. We compared the postprandial lipoprotein profiles of palmitic acid-rich IE and non-IE fats and an unsaturated control oil. A double blind, randomized controlled trial in healthy adults (n = 20) aged 45–75 years, assessed effects of single test meals (897 kcal, 50 g fat, 16 g protein, 88 g carbohydrate) on postprandial plasma triacylglycerol (TG) concentrations by colorimetric assay and lipoprotein profiles by NMR. Test fats were: a commonly consumed IE [80:20 palm stearin/palm kernel fat], the equivalent non-IE fat, and a control high-MUFA rich oil (canola oil, CO) as a reference point. Blood was collected at baseline, and hourly thereafter for 8h. Lipoprotein statistical analysis used linear mixed effect regression modelling (lme4 package on R). Metabolites were considered as response and treatment as predictor along with various covariates: time, period, baseline values, and subject (random effect), with post hoc adjustment for multiple comparisons. There was a significant time x treatment interaction (P = 0.006) in change from baseline for plasma TG concentrations (Figure 1), with significant differences between the IE fat and CO and the non-IE fat and CO (both P = 0.001), but no difference between IE and non-IE fats. NMR analysis of lipoprotein (VLDL, HDL, LDL) particle size, composition and number, revealed an increase in particle and cholesterol concentrations following IE and non-IE fats versus the CO at T + 8h for the following lipoprotein fractions: chylomicron remnants and extremely large VLDL (non-IE vs CO P < 0.05; IE vs CO P < 0.001; Figure 2), and very large VLDL (non-IE vs CO P < 0.01; IE vs CO P < 0.005). Interesterification of a commonly consumed palm-based fat did not modify lipoprotein particle size or composition. Despite a reduction in postprandial lipemia, the generation of atherogenic TG-rich lipoprotein remnant particles in the late postprandial phase may in part explain the atherogenic potential of saturated rich fats compared with unsaturated rich fats. BBSRC DRINC, UK.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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) | 0.003 | 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".