Patterns of perinatal polyunsaturated fatty acid status and associated dietary or candidate-genetic factors.

EDEN mother-child cohort study ELOVL genes FADS genes dietary fat epidemiology omega-3 fatty acids patterns of perinatal PUFA status phospholipids/metabolism pregnancy

Journal

Journal of lipid research
ISSN: 1539-7262
Titre abrégé: J Lipid Res
Pays: United States
ID NLM: 0376606

Informations de publication

Date de publication:
16 May 2024
Historique:
received: 20 02 2024
revised: 13 05 2024
accepted: 14 05 2024
medline: 19 5 2024
pubmed: 19 5 2024
entrez: 18 5 2024
Statut: aheadofprint

Résumé

Perinatal exposure to omega-3 and omega-6 polyunsaturated fatty acids (PUFAs) can be characterized through biomarkers in maternal or cord blood, or breast milk. Objectives were to describe perinatal PUFA status combining multiple biofluids, and to investigate how it was influenced by dietary intake during pregnancy and maternal FADS and ELOVL gene polymorphisms. This study involved 1,901 mother-child pairs from the EDEN cohort, with PUFA levels measured in maternal and cord erythrocytes, and colostrum. Maternal dietary PUFA intake during the last trimester was derived from a food frequency questionnaire. Twelve single nucleotide polymorphisms in FADS and ELOVL genes were genotyped from maternal DNA. Principal component analysis incorporating PUFA levels from the three biofluids identified patterns of perinatal PUFA status. Spearman's correlations explored associations between patterns and PUFA dietary intake, and linear regression models examined pattern associations with FADS or ELOVL haplotypes. Five patterns were retained: "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs"; "Omega-6 LC-PUFAs"; "Colostrum LC-PUFAs"; "Omega-6 precursor (LA) and DGLA"; "Omega-6 precursor and colostrum ALA". Maternal omega-3 LC-PUFA intakes were correlated with "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs" (r(DHA) = 0.33) and "Omega-6 LC-PUFAs" (r(DHA) = -0.19) patterns. Strong associations were found between FADS haplotypes and PUFA patterns except for "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs". Lack of genetic association with the "High omega-3 LC-PUFAs, low omega-6 LC-PUFAs" pattern, highly correlated with maternal omega-3 LC-PUFA intake, emphasizes the importance of adequate omega-3 LC-PUFA intake during pregnancy and lactation. This study offers a more comprehensive assessment of perinatal PUFA status and its determinants.

Identifiants

pubmed: 38762122
pii: S0022-2275(24)00067-1
doi: 10.1016/j.jlr.2024.100562
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100562

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Auteurs

Aline Abou Assi (AA)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.

Barbara Heude (B)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France. Electronic address: Barbara.heude@inserm.fr.

Sabine Plancoulaine (S)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Université Claude Bernard Lyon 1, INSERM, CNRS, Centre de Recherche en Neurosciences de Lyon CRNL U1028 UMR5292, WAKING, F-69500, Bron, France.

Catherine Sarté (C)

Aix Marseille Univ, CNRS, CRMBM, Marseille, France.

Muriel Tafflet (M)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.

Wen Lun Yuan (WL)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France; Singapore Institute for Clinical Sciences, Agency for Science, Technology, and Research (A*STAR), Singapore.

Marie-Aline Charles (MA)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.

Martine Armand (M)

Aix Marseille Univ, CNRS, CRMBM, Marseille, France.

Jonathan Y Bernard (JY)

Université Paris Cité and Université Sorbonne Paris Nord, Inserm, INRAE, Centre for Research in Epidemiology and StatisticS (CRESS), F-75004 Paris, France.

Classifications MeSH