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A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study
INTRODUCTION: Adverse exposures in early life may predispose children to cardio-metabolic disease in later life. Metabolomics may serve as a valuable tool to disentangle the metabolic adaptations and mechanisms that potentially underlie these associations. OBJECTIVES: To describe the acquisition, pr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089886/ https://www.ncbi.nlm.nih.gov/pubmed/32206914 http://dx.doi.org/10.1007/s11306-020-01667-1 |
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author | Voerman, Ellis Jaddoe, Vincent W. V. Uhl, Olaf Shokry, Engy Horak, Jeannie Felix, Janine F. Koletzko, Berthold Gaillard, Romy |
author_facet | Voerman, Ellis Jaddoe, Vincent W. V. Uhl, Olaf Shokry, Engy Horak, Jeannie Felix, Janine F. Koletzko, Berthold Gaillard, Romy |
author_sort | Voerman, Ellis |
collection | PubMed |
description | INTRODUCTION: Adverse exposures in early life may predispose children to cardio-metabolic disease in later life. Metabolomics may serve as a valuable tool to disentangle the metabolic adaptations and mechanisms that potentially underlie these associations. OBJECTIVES: To describe the acquisition, processing and structure of the metabolomics data available in a population-based prospective cohort from early pregnancy onwards and to examine the relationships between metabolite profiles of pregnant women and their children at birth and in childhood. METHODS: In a subset of 994 mothers-child pairs from a prospective population-based cohort study among pregnant women and their children from Rotterdam, the Netherlands, we used LC–MS/MS to determine concentrations of amino acids, non-esterified fatty acids, phospholipids and carnitines in blood serum collected in early pregnancy, at birth (cord blood), and at child’s age 10 years. RESULTS: Concentrations of diacyl-phosphatidylcholines, acyl-alkyl-phosphatidylcholines, alkyl-lysophosphatidylcholines and sphingomyelines were the highest in early pregnancy, concentrations of amino acids and non-esterified fatty acids were the highest at birth and concentrations of alkyl-lysophosphatidylcholines, free carnitine and acyl-carnitines were the highest at age 10 years. Correlations of individual metabolites between pregnant women and their children at birth and at the age of 10 years were low (range between r = − 0.10 and r = 0.35). CONCLUSION: Our results suggest that unique metabolic profiles are present among pregnant women, newborns and school aged children, with limited intergenerational correlations between metabolite profiles. These data will form a valuable resource to address the early metabolic origins of cardio-metabolic disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01667-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7089886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-70898862020-03-26 A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study Voerman, Ellis Jaddoe, Vincent W. V. Uhl, Olaf Shokry, Engy Horak, Jeannie Felix, Janine F. Koletzko, Berthold Gaillard, Romy Metabolomics Original Article INTRODUCTION: Adverse exposures in early life may predispose children to cardio-metabolic disease in later life. Metabolomics may serve as a valuable tool to disentangle the metabolic adaptations and mechanisms that potentially underlie these associations. OBJECTIVES: To describe the acquisition, processing and structure of the metabolomics data available in a population-based prospective cohort from early pregnancy onwards and to examine the relationships between metabolite profiles of pregnant women and their children at birth and in childhood. METHODS: In a subset of 994 mothers-child pairs from a prospective population-based cohort study among pregnant women and their children from Rotterdam, the Netherlands, we used LC–MS/MS to determine concentrations of amino acids, non-esterified fatty acids, phospholipids and carnitines in blood serum collected in early pregnancy, at birth (cord blood), and at child’s age 10 years. RESULTS: Concentrations of diacyl-phosphatidylcholines, acyl-alkyl-phosphatidylcholines, alkyl-lysophosphatidylcholines and sphingomyelines were the highest in early pregnancy, concentrations of amino acids and non-esterified fatty acids were the highest at birth and concentrations of alkyl-lysophosphatidylcholines, free carnitine and acyl-carnitines were the highest at age 10 years. Correlations of individual metabolites between pregnant women and their children at birth and at the age of 10 years were low (range between r = − 0.10 and r = 0.35). CONCLUSION: Our results suggest that unique metabolic profiles are present among pregnant women, newborns and school aged children, with limited intergenerational correlations between metabolite profiles. These data will form a valuable resource to address the early metabolic origins of cardio-metabolic disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s11306-020-01667-1) contains supplementary material, which is available to authorized users. Springer US 2020-03-23 2020 /pmc/articles/PMC7089886/ /pubmed/32206914 http://dx.doi.org/10.1007/s11306-020-01667-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Voerman, Ellis Jaddoe, Vincent W. V. Uhl, Olaf Shokry, Engy Horak, Jeannie Felix, Janine F. Koletzko, Berthold Gaillard, Romy A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title | A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title_full | A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title_fullStr | A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title_full_unstemmed | A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title_short | A population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the Generation R Study |
title_sort | population-based resource for intergenerational metabolomics analyses in pregnant women and their children: the generation r study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089886/ https://www.ncbi.nlm.nih.gov/pubmed/32206914 http://dx.doi.org/10.1007/s11306-020-01667-1 |
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