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Record W2952424531 · doi:10.1093/cdn/nzz046.or19-03-19

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)

2019· article· en· W2952424531 on OpenAlexaff
Sarah Berry, Charlotte Mills, Scott Harding, Johanna Bruce, Robert Gray, Mariam Bapir, Caroline Le Roy, L FLOTTES, Delphine Lim, Wendy L. Hall

Bibliographic record

VenueCurrent Developments in Nutrition · 2019
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of Manitoba
FundersBiotechnology and Biological Sciences Research Council
KeywordsPostprandialInteresterified fatPalm stearinLipoproteinPalmitic acidChemistryVery low-density lipoproteinLipoprotein particlePalm kernel oilCholesterolFood scienceChylomicronInternal medicineEndocrinologyMedicineFatty acidBiochemistryPalm oilInsulin

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.025
GPT teacher head0.298
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2019
Admission routes1
Has abstractyes

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