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Record W7000065234

Effect of consuming dairy fats on circulating fatty acid profile and metabolism

2017· dissertation· en· W7000065234 on OpenAlexaboutno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPolyunsaturated fatty acidFatty acidSaturated fatty acidMetabolismBlood plasmaCarbohydrateCholesterolLipid metabolism
DOInot available

Abstract

fetched live from OpenAlex

Increased interest has focused on associations between dietary fatty acids and cardiovascular disease (CVD). Current findings delineating effects of consuming saturated fatty acids (SFA) from dairy on CVD risk remain controversial. The objective of this thesis was to investigate the effects of consuming two types of dairy fat, namely those from cheese and butter on, human plasma and RBC fatty acid profiles, compared with monounsaturated fatty acids (MUFA), polyunsaturated fatty acids (PUFA) and carbohydrate (CHO). A secondary objective was to investigate the association between consuming these dietary fatty acids and endogenous de novo fatty acid synthesis. A randomized, full-feeding, crossover, single-blinded clinical trial was conducted at the Institute of Nutrition and Functional Foods (INAF), Laval University and Richardson Centre for Functional Foods and Nutraceuticals (RCFFN), the University of Manitoba. A total of 92 women and men with abdominal obesity and relative low high density lipoprotein cholesterol (HDL-C) levels were randomized into a series of 5 treatments. The duration of each treatment was 4 weeks and separated by at least 4 weeks washout period. For plasma fatty acid profile, total plasma SFA after cheese treatment was found to be higher (P<0.05) than after MUFA, PUFA and CHO treatments, whereas total plasma SFA after butter treatment was only found to be higher (P<0.05) than after MUFA and PUFA treatments. Total plasma MUFA after MUFA treatment was higher (P<0.05) than after all other treatments, and total plasma PUFA after PUFA treatment was higher (P<0.05) than after all other treatments. Unlike plasma fatty acid profile, RBC total SFA after two dairy treatments were not higher than after CHO and PUFA treatments. Consistent with the plasma fatty acid profile, RBC total MUFA after MUFA treatment were found to be higher (P<0.05) than after all other treatments. Similarly, RBC total PUFA after PUFA treatment were higher (P<0.05) than after all other treatments. We did not detect any differences in de novo palmitic acid synthesis across all treatments in the present study. However, we did see a positive correlation between de novo palmitic acid synthesis and body fat mass. In summary, present results suggest that consuming dairy fats, from cheese or butter, can significantly modulate plasma fatty acids in a manner that increases plasma total SFA, including myristic acid (C14:0), pentadecanoic acid (C15:0), palmitic acid (C16:0) and heptadecanoic acid (C17:0). However, the effect of consuming dairy fats on RBC fatty acid profile is relatively minor. Additionally, the de novo fatty acid synthesis data suggests that the quality of dietary fatty acids does not associate with human endogenous fatty acid synthesis; unlike body fat mass.

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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
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)0.0010.000

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 head0.021
GPT teacher head0.283
Teacher spread0.262 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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