Biomarker Candidates of Habitual Food Intake in a Swedish Cohort of Pregnant and Lactating Women and Their Infants.

dietary biomarkers infants lactation lutein metabolomics pregnancy proline betaine

Journal

Metabolites
ISSN: 2218-1989
Titre abrégé: Metabolites
Pays: Switzerland
ID NLM: 101578790

Informations de publication

Date de publication:
29 Apr 2024
Historique:
received: 29 02 2024
revised: 19 04 2024
accepted: 26 04 2024
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Circulating food metabolites could improve dietary assessments by complementing traditional methods. Here, biomarker candidates of food intake were identified in plasma samples from pregnancy (gestational week 29, N = 579), delivery (mothers, N = 532; infants, N = 348), and four months postpartum (mothers, N = 477; breastfed infants, N = 193) and associated to food intake assessed with semi-quantitative food frequency questionnaires. Families from the Swedish birth cohort Nutritional impact on Immunological maturation during Childhood in relation to the Environment (NICE) were included. Samples were analyzed using untargeted liquid chromatography-mass spectrometry (LC-MS)-based metabolomics. Both exposure and outcome were standardized, and relationships were investigated using a linear regression analysis. The intake of fruits and berries and fruit juice were both positively related to proline betaine levels during pregnancy (fruits and berries, β = 0.23, FDR < 0.001; fruit juice, β = 0.27, FDR < 0.001), at delivery (fruit juice, infants: β = 0.19, FDR = 0.028), and postpartum (fruits and berries, mothers: β = 0.27, FDR < 0.001, infants: β = 0.29, FDR < 0.001; fruit juice, mothers: β = 0.37, FDR < 0.001). Lutein levels were positively related to vegetable intake during pregnancy (β = 0.23, FDR < 0.001) and delivery (mothers: β = 0.24, FDR < 0.001; newborns: β = 0.18, FDR = 0.014) and CMPF with fatty fish intake postpartum (mothers: β = 0.20, FDR < 0.001). No clear relationships were observed with the expected food sources of the remaining metabolites (acetylcarnitine, choline, indole-3-lactic acid, pipecolic acid). Our study suggests that plasma lutein could be useful as a more general food group intake biomarker for vegetables and fruits during pregnancy and delivery. Also, our results suggest the application of proline betaine as an intake biomarker of citrus fruit during gestation and lactation.

Identifiants

pubmed: 38786733
pii: metabo14050256
doi: 10.3390/metabo14050256
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Swedish Research Council
ID : 2019-01317; 2023-02217
Organisme : Swedish Research Council for Health Working Life and Welfare
ID : 2016-00700; 2018-00485
Organisme : Region Västra Götaland
ID : 612-0618-15
Organisme : Research and Innovation Unit at Region Norrbotten
ID : n/a
Organisme : Jane och Dan Olssons stiftelse
ID : 2020-23
Organisme : FORMAS under the umbrella of the European Joint Programming Initiative "A Healthy Diet for a Healthy Life" (JPI HDHL) and of the ERA-NET Cofund HDHL-INesTInal MICrobiome (INTIMIC) (GA no. 727565 of the EU Horizon 2020 Research and Innovation Programme)
ID : 2019-02201
Organisme : Adlerbert Research Foundation
ID : n/a

Auteurs

Mia Stråvik (M)

Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Olle Hartvigsson (O)

Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Stefania Noerman (S)

Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Anna Sandin (A)

Pediatrics, Department of Clinical Science, Sunderby Research Unit, Umeå University, 901 87 Umeå, Sweden.

Agnes E Wold (AE)

Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden.

Malin Barman (M)

Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Ann-Sofie Sandberg (AS)

Food and Nutrition Science, Department of Life Sciences, Chalmers University of Technology, 412 96 Gothenburg, Sweden.

Classifications MeSH