Docosahexaenoic Acid is More Effective than Eicosapentaenoic Acid in Increasing the Omega‐3 Index Measured in Red Blood Cell Membranes
Notice bibliographique
Résumé
Background Whether eicosapentaenoic (EPA) and docosahexaenoic (DHA) acids have distinct effects on cardiometabolic risk remains unclear as most studies to date have used a mixture of the two fatty acids in various forms and proportions. The Omega‐3 Index (O3I) reflects the sum of EPA and DHA as percent of fatty acids in red blood cell (RBC) membranes and has been inversely associated with the risk of coronary heart diseases and coronary mortality in epidemiological studies. The objective of this study was to assess if supplementation with high dose EPA differentially modify the O3I compared with high dose DHA in men and women at risk of cardiovascular diseases. Methods Using a randomized double‐blind controlled crossover design, 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, 2–2.7 g/d of DHA, 3‐ and 0g/d of EPA+DHA (corn oil). All supplements were provided as 3×1g capsules for a total of 3g/d. Treatment phases had a duration of ten weeks each and were separated by nine‐week washouts. RBC membrane fatty acid composition was measured at baseline and the end of each phase. Differences in RBC membrane fatty acid composition and in the O3I between treatments were assessed using mixed models for repeated measures. Potential confounders of the response to treatments such as weight, sex, age and O3I baseline values were considered. Results The increase in the O3I after DHA (+87% vs. control, p<0.0001) was significantly greater than after EPA (+52% vs. control, p<0.0001; p<0.0001 between DHA and EPA). There was a significant sex*treatment interaction (p=0.046) in the O3I response to EPA and DHA, with similar O3I changes among men and women in response to EPA (0% difference between sexes), but slightly greater O3I increase after DHA among men (+9% compared with women). EPA supplementation increased docosapentaenoic acid (DPA) proportions in RBCs (+84% vs. control, P<0.0001) while DHA decreased DPA in RBCs (−28% vs. control, p<0.0001; p<0.001 between DHA and EPA). Conclusions High‐dose DHA may be more effective than high dose EPA in increasing the O3I, perhaps even more so among men than among women. Because DPA levels are not accounted for in the O3I, in vivo elongation of EPA to DPA may partly explain the difference between EPA and DHA in modulating the O3I. Long‐term intervention studies are needed to determine how this difference relates to cardiovascular risk in men and women. Support or Funding Information This study was supported by a grant from the Canadian Institutes for Health Research (CIHR, MOP‐123494). Douglas Laboratories provided the EPA, DHA and control capsules used in this study. Janie Allaire is a recipient of a PhD Scholarships from the CIHR and Fonds de recherche du Québec ‐ Santé.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».