Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort

Author:

de Souza Russell J123ORCID,Shanmuganathan Meera4,Lamri Amel35,Atkinson Stephanie A6,Becker Allan7,Desai Dipika13,Gupta Milan58,Mandhane Piush J9,Moraes Theo J10,Morrison Katherine M236,Subbarao Padmaja1011,Teo Koon K35,Turvey Stuart E12,Williams Natalie C5,Britz-McKibbin Philip4,Anand Sonia S1235

Affiliation:

1. Department of Health Research Methods, Evidence, and Impact, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada

2. Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, ON, Canada

3. Population Health Research Institute, Hamilton, ON, Canada

4. Department of Chemistry and Chemical Biology, McMaster University, Hamilton, ON, Canada

5. Department of Medicine, McMaster University, Hamilton, ON, Canada

6. Department of Pediatrics, McMaster University, Hamilton, ON, Canada

7. Children's Hospital Research Institute, University of Manitoba, Winnipeg, MB, Canada

8. Canadian Collaborative Research Network, Brampton, ON, Canada

9. Department of Pediatrics, University of Alberta, Edmonton, AB, Canada

10. Hospital for Sick Children, Toronto, ON, Canada

11. University of Toronto, Toronto, ON, Canada

12. BC Children's Hospital and The University of British Columbia, Vancouver, BC, Canada

Abstract

ABSTRACT Background Advances in metabolomics are anticipated to decipher associations between dietary exposures and health. Replication biomarker studies in different populations are critical to demonstrate generalizability. Objectives To identify and validate robust serum metabolites associated with diet quality and specific foods in a multiethnic cohort of pregnant women. Design In this cross-sectional analysis of 3 multiethnic Canadian birth cohorts, we collected semiquantitative FFQ and serum data from 900 women at the second trimester of pregnancy. We calculated a diet quality score (DQS), defined as daily servings of “healthy” minus “unhealthy” foods. Serum metabolomics was performed by multisegment injection-capillary electrophoresis-mass spectrometry, and specific serum metabolites associated with maternal DQSs were identified. We combined the results across all 3 cohorts using meta-analysis to classify robust dietary biomarkers (r > ± 0.1; P < 0.05). Results Diet quality was higher in the South Asian birth cohort (mean DQS = 7.1) than the 2 white Caucasian birth cohorts (mean DQS <3.2). Sixty-six metabolites were detected with high frequency (>75%) and adequate precision (CV <30%), and 47 were common to all cohorts. Hippuric acid was positively associated with healthy diet score in all cohorts, and with the overall DQS only in the primarily white Caucasian cohorts. We observed robust correlations between: 1) proline betaine—citrus foods; 2) 3-methylhistidine—red meat, chicken, and eggs; 3) hippuric acid—fruits and vegetables; 4) trimethylamine N-oxide (TMAO)—seafood, meat, and eggs; and 5) tryptophan betaine—nuts/legumes. Conclusions Specific serum metabolites reflect intake of citrus fruit/juice, vegetables, animal foods, and nuts/legumes in pregnant women independent of ethnicity, fasting status, and delays to storage across multiple collection centers. Robust biomarkers of overall diet quality varied by cohort. Proline betaine, 3-methylhistidine, hippuric acid, TMAO, and tryptophan betaine were robust dietary biomarkers for investigations of maternal nutrition in diverse populations.

Funder

Canadian Institutes of Health Research

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Publisher

Oxford University Press (OUP)

Subject

Nutrition and Dietetics,Food Science,Medicine (miscellaneous)

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