Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents
Abstract Amino acid (AA) concentrations are influenced by both exogenous (e.g. diet, lifestyle) and endogenous factors (e.g. genetic, transcriptomic, epigenetic, and metabolomic). Fasting plasma AA profiles in adulthood are predictive of diabetes risk over periods of up to 12 years. Data on AA profi...
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2021-02-01
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Online Access: | https://doi.org/10.1038/s41598-020-80923-9 |
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doaj-0146d7ed09fb45ccaad940b47304c2892021-02-14T12:33:52ZengNature Publishing GroupScientific Reports2045-23222021-02-0111111110.1038/s41598-020-80923-9Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parentsStephanie Andraos0Katherine Lange1Susan A. Clifford2Beatrix Jones3Eric B. Thorstensen4Melissa Wake5David P. Burgner6Richard Saffery7Justin M. O’Sullivan8Liggins Institute, The University of AucklandThe Murdoch Children‘s Research InstituteThe Murdoch Children‘s Research InstituteDepartment of Statistics, Faculty of Science, The University of AucklandLiggins Institute, The University of AucklandThe Murdoch Children‘s Research InstituteThe Murdoch Children‘s Research InstituteThe Murdoch Children‘s Research InstituteLiggins Institute, The University of AucklandAbstract Amino acid (AA) concentrations are influenced by both exogenous (e.g. diet, lifestyle) and endogenous factors (e.g. genetic, transcriptomic, epigenetic, and metabolomic). Fasting plasma AA profiles in adulthood are predictive of diabetes risk over periods of up to 12 years. Data on AA profiles in cross-generational cohorts, including individuals from shared gene-environment settings are scarce, but would allow the identification of the contribution of heritable and environmental factors characterising the levels of circulating AAs. This study aimed to investigate parent–child (familial dyad) concordance, absolute differences between generations- (children versus adults), age- (in adults: 28–71 years), and sex-dependent differences in plasma AA concentrations. Plasma AA concentrations were measured by UHPLC/MS–MS in 1166 children [mean (SD) age 11 (0.5) years, 51% female] and 1324 of their parents [44 (5.1) years, 87% female]. AA concentrations were variably concordant between parents and their children (5–41% of variability explained). Most AA concentrations were higher in adults than children, except for the non-essential AAs arginine, aspartic acid, glutamine, hydroxy-proline, proline, and serine. Male adults and children typically had higher AA concentrations than females. The exceptions were alanine, glutamine, glycine, hydroxy-proline, serine, and threonine in girls; and glycine and serine in women. Age, sex, and shared familial factors are important determinants of plasma AA concentrations.https://doi.org/10.1038/s41598-020-80923-9 |
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DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stephanie Andraos Katherine Lange Susan A. Clifford Beatrix Jones Eric B. Thorstensen Melissa Wake David P. Burgner Richard Saffery Justin M. O’Sullivan |
spellingShingle |
Stephanie Andraos Katherine Lange Susan A. Clifford Beatrix Jones Eric B. Thorstensen Melissa Wake David P. Burgner Richard Saffery Justin M. O’Sullivan Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents Scientific Reports |
author_facet |
Stephanie Andraos Katherine Lange Susan A. Clifford Beatrix Jones Eric B. Thorstensen Melissa Wake David P. Burgner Richard Saffery Justin M. O’Sullivan |
author_sort |
Stephanie Andraos |
title |
Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
title_short |
Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
title_full |
Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
title_fullStr |
Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
title_full_unstemmed |
Population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
title_sort |
population epidemiology and concordance for plasma amino acids and precursors in 11–12-year-old children and their parents |
publisher |
Nature Publishing Group |
series |
Scientific Reports |
issn |
2045-2322 |
publishDate |
2021-02-01 |
description |
Abstract Amino acid (AA) concentrations are influenced by both exogenous (e.g. diet, lifestyle) and endogenous factors (e.g. genetic, transcriptomic, epigenetic, and metabolomic). Fasting plasma AA profiles in adulthood are predictive of diabetes risk over periods of up to 12 years. Data on AA profiles in cross-generational cohorts, including individuals from shared gene-environment settings are scarce, but would allow the identification of the contribution of heritable and environmental factors characterising the levels of circulating AAs. This study aimed to investigate parent–child (familial dyad) concordance, absolute differences between generations- (children versus adults), age- (in adults: 28–71 years), and sex-dependent differences in plasma AA concentrations. Plasma AA concentrations were measured by UHPLC/MS–MS in 1166 children [mean (SD) age 11 (0.5) years, 51% female] and 1324 of their parents [44 (5.1) years, 87% female]. AA concentrations were variably concordant between parents and their children (5–41% of variability explained). Most AA concentrations were higher in adults than children, except for the non-essential AAs arginine, aspartic acid, glutamine, hydroxy-proline, proline, and serine. Male adults and children typically had higher AA concentrations than females. The exceptions were alanine, glutamine, glycine, hydroxy-proline, serine, and threonine in girls; and glycine and serine in women. Age, sex, and shared familial factors are important determinants of plasma AA concentrations. |
url |
https://doi.org/10.1038/s41598-020-80923-9 |
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