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Arterial Stiffness Interferes with LDL‐cholesterol Lowering by Canola Oil in Persons with Mild Hypercholesterolemia

2017· article· en· W4389024115 on OpenAlexafffundabout
Carla G. Taylor, Danielle Perera, Angela Wilson, Peter Zahradka

Bibliographic record

VenueThe FASEB Journal · 2017
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsUniversity of ManitobaAgriculture and Agri-Food Canada
FundersAlberta Crop Industry Development Fund
KeywordsCanolaArterial stiffnessBlood pressureInternal medicineMedicineCholesterolEndocrinologyBlood lipidsCardiologyFood scienceChemistry

Abstract

fetched live from OpenAlex

Background Consumption of canola oil has been shown to lower blood cholesterol in individuals with hypercholesterolemia, which has led to investigations examining the effect of canola oil on cholesterol metabolism. However, little is known about how vascular function influences the response to canola oil on LDL‐cholesterol lowering and other risk factors associated with the metabolic syndrome (MetS). Objective To investigate the interactions among LDL‐cholesterol, vascular function and parameters of MetS (adiposity, blood glucose, triglycerides, HDL‐cholesterol, blood pressure) in individuals consuming canola oil versus a fat mixture representative of Western‐type diets. Methods Participants (n=80, 55±12 years old) invited to join the randomized controlled trial had at least two characteristics of MetS, were not taking medications for blood lipids or glucose or body weight management, and refrained from consuming omega‐3 fatty acid (FA) rich foods and supplements. They were randomized to study foods providing 25 g/d of either traditional canola oil (low SFA, high MUFA and omega‐3 FA) or a fat mixture (high SFA and omega‐6 FA, low MUFA and omega‐3 FA) to incorporate into their usual diet for 12 weeks. Assessments were conducted at baseline, 6 and 12 weeks for adiposity (dual x‐ray absorptiometry), fasting serum biochemistry, blood pressure, and non‐invasive assessments of vascular function (arterial stiffness by augmentation index at heart rate of 75 beats per minute [APGH@75] and by the small artery elasticity index [SAEI]) and advanced glycation end‐products [AGEs] (by skin autofluorescence). Results The Canola Oil Group had a significantly lower (P=0.0257) fasting total cholesterol at weeks 6 and 12 and a trend (P=0.0755) for a reduction in fasting LDL‐cholesterol at week 12. Although blood pressure and blood vessel function were not altered over the 12 week study, individuals with healthier blood vessel function (as indicated by APGH@75 ≤27% or SAEI >4.5%) had a 11–13% reduction in LDL‐cholesterol following canola oil consumption compared to 0–4% LDL‐cholesterol lowering in individuals with stiffer arteries (as indicated by APGH@75 >27% or SAEI ≤4.5%). Body fat and body composition were not altered except there was a trend (P=0.09) for those in the Canola Oil Group with a smaller waist circumference (≤101 cm) to have less android fat at 12 weeks versus baseline. Fasting blood glucose was not changed at 12 weeks, however, canola oil consumption reduced AGEs in individuals with a smaller waist circumference as compared to those consuming the fat mixture representative of a Western‐type diet. Conclusions This study has verified that dietary canola oil can lower blood cholesterol in individuals with MetS characteristics. At the same time, we observed that arterial stiffness was sufficient to make individuals resistant to cholesterol lowering by dietary canola oil. These are the first data to implicate blood vessel elasticity as a factor that influences LDL‐cholesterol lowering, and further studies are warranted to examine the mechanistic relationships underlying these unique observations. Support or Funding Information Alberta Canola Producers, Alberta Innovates Bio Solutions, and Alberta Crop Industry Development Fund

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)0.002
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.029
GPT teacher head0.296
Teacher spread0.268 · 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 routes3
Has abstractyes

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