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

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...

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Autores principales: de Souza, Russell J, Shanmuganathan, Meera, Lamri, Amel, Atkinson, Stephanie A, Becker, Allan, Desai, Dipika, Gupta, Milan, Mandhane, Piush J, Moraes, Theo J, Morrison, Katherine M, Subbarao, Padmaja, Teo, Koon K, Turvey, Stuart E, Williams, Natalie C, Britz-McKibbin, Philip, Anand, Sonia S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547851/
https://www.ncbi.nlm.nih.gov/pubmed/33073162
http://dx.doi.org/10.1093/cdn/nzaa144
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author de Souza, Russell J
Shanmuganathan, Meera
Lamri, Amel
Atkinson, Stephanie A
Becker, Allan
Desai, Dipika
Gupta, Milan
Mandhane, Piush J
Moraes, Theo J
Morrison, Katherine M
Subbarao, Padmaja
Teo, Koon K
Turvey, Stuart E
Williams, Natalie C
Britz-McKibbin, Philip
Anand, Sonia S
author_facet de Souza, Russell J
Shanmuganathan, Meera
Lamri, Amel
Atkinson, Stephanie A
Becker, Allan
Desai, Dipika
Gupta, Milan
Mandhane, Piush J
Moraes, Theo J
Morrison, Katherine M
Subbarao, Padmaja
Teo, Koon K
Turvey, Stuart E
Williams, Natalie C
Britz-McKibbin, Philip
Anand, Sonia S
author_sort de Souza, Russell J
collection PubMed
description 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.
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spelling pubmed-75478512020-10-16 Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort de Souza, Russell J Shanmuganathan, Meera Lamri, Amel Atkinson, Stephanie A Becker, Allan Desai, Dipika Gupta, Milan Mandhane, Piush J Moraes, Theo J Morrison, Katherine M Subbarao, Padmaja Teo, Koon K Turvey, Stuart E Williams, Natalie C Britz-McKibbin, Philip Anand, Sonia S Curr Dev Nutr Original Research 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. Oxford University Press 2020-09-02 /pmc/articles/PMC7547851/ /pubmed/33073162 http://dx.doi.org/10.1093/cdn/nzaa144 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Society for Nutrition. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
de Souza, Russell J
Shanmuganathan, Meera
Lamri, Amel
Atkinson, Stephanie A
Becker, Allan
Desai, Dipika
Gupta, Milan
Mandhane, Piush J
Moraes, Theo J
Morrison, Katherine M
Subbarao, Padmaja
Teo, Koon K
Turvey, Stuart E
Williams, Natalie C
Britz-McKibbin, Philip
Anand, Sonia S
Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title_full Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title_fullStr Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title_full_unstemmed Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title_short Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort
title_sort maternal diet and the serum metabolome in pregnancy: robust dietary biomarkers generalizable to a multiethnic birth cohort
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7547851/
https://www.ncbi.nlm.nih.gov/pubmed/33073162
http://dx.doi.org/10.1093/cdn/nzaa144
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