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Record W2602292191 · doi:10.1016/j.plefa.2017.03.008

Supplementation with high-dose docosahexaenoic acid increases the Omega-3 Index more than high-dose eicosapentaenoic acid

2017· article· en· W2602292191 on OpenAlexafffund
Janie Allaire, William S. Harris, Cécile Vors, Amélie Charest, Johanne Marin, Kristina Harris Jackson, André Tchernof, Patrick Couture, Benoı̂t Lamarche

Bibliographic record

VenueProstaglandins Leukotrienes and Essential Fatty Acids · 2017
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsCentre hospitalier de l'Université LavalInstitut Universitaire de Cardiologie et de Pneumologie de QuébecUniversité Laval
FundersCanadian Institutes of Health ResearchFondation pour la Recherche Médicale
KeywordsDocosahexaenoic acidEicosapentaenoic acidDocosapentaenoic acidInternal medicineMedicineCrossover studyPolyunsaturated fatty acidEndocrinologyFatty acidChemistryBiochemistryPlacebo

Abstract

fetched live from OpenAlex

BACKGROUND: Recent studies suggest that eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids have distinct effects on cardiometabolic risk factors. The Omega-3 Index (O3I), which is calculated as the proportion of EPA and DHA in red blood cell (RBC) membranes, has been inversely associated with the risk of coronary heart diseases and coronary mortality. The objective of this study was to compare the effects of EPA and DHA supplementation on the O3I in men and women with abdominal obesity and subclinical inflammation. METHODS: In a double-blind controlled crossover study, 48 men and 106 women with abdominal obesity and subclinical inflammation were randomized to a sequence of three treatment phases: 1-2.7g/d of EPA, 2-2.7g/d of DHA, and 3-3g/d of corn oil (0g of EPA+DHA). All supplements were provided as 3×1g capsules for a total of 3g/d. The 10-week treatment phases were separated by nine-week washouts. RBC membrane fatty acid composition and O3I were assessed at baseline and the end of each phase. Differences in O3I between treatments were assessed using mixed models for repeated measures. RESULTS: The increase in the O3I after supplementation with DHA (+5.6% compared with control, P<0.0001) was significantly greater than after EPA (+3.3% compared with control, P<0.0001; DHA vs. EPA, P<0.0001). Compared to control, DHA supplementation decreased (-0.8%, P<0.0001) while EPA increased (+2.5%, P<0.0001) proportion of docosapentaenoic acid (DPA) in RBCs (DHA vs. EPA, P<0.0001). The baseline O3I was higher in women than in men (6.3% vs. 5.8%, P=0.011). The difference between DHA and EPA in increasing the O3I tended to be higher in men than in women (+2.6% vs. +2.2% respectively, P for the treatment by sex interaction=0.0537). CONCLUSIONS: The increase in the O3I is greater with high dose DHA supplementation than with high dose EPA, which is consistent with the greater potency of DHA to modulate cardiometabolic risk factors. The extent to which such differences between EPA and DHA in increasing the O3I relates to long-term cardiovascular risk needs to be investigated in the future.

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)0.000
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.017
GPT teacher head0.301
Teacher spread0.284 · 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

Citations60
Published2017
Admission routes2
Has abstractno

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