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The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester
BACKGROUND: Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755849/ https://www.ncbi.nlm.nih.gov/pubmed/36531491 http://dx.doi.org/10.3389/fendo.2022.1060309 |
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author | Chen, Xuyang Zhao, Xue Jones, Mary Beatrix Harper, Alexander de Seymour, Jamie V. Yang, Yang Xia, Yinyin Zhang, Ting Qi, Hongbo Gulliver, John Cannon, Richard D. Saffery, Richard Zhang, Hua Han, Ting-Li Baker, Philip N. |
author_facet | Chen, Xuyang Zhao, Xue Jones, Mary Beatrix Harper, Alexander de Seymour, Jamie V. Yang, Yang Xia, Yinyin Zhang, Ting Qi, Hongbo Gulliver, John Cannon, Richard D. Saffery, Richard Zhang, Hua Han, Ting-Li Baker, Philip N. |
author_sort | Chen, Xuyang |
collection | PubMed |
description | BACKGROUND: Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown to reflect pollution exposure, few studies have examined the link between environmental exposures, the maternal hair metabolome and GDM. The aim of this study was to investigate the longitudinal relationship (from pre-conception through to the third trimester) between air pollution exposure, the hair metabolome and GDM in a Chinese cohort. METHODS: A total of 1020 women enrolled in the Complex Lipids in Mothers and Babies (CLIMB) birth cohort were included in our study. Metabolites from maternal hair segments collected pre-conception, and in the first, second, and third trimesters were analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure to air pollution was estimated by two methods, namely proximal and land use regression (LUR) models, using air quality data from the air quality monitoring station nearest to the participant’s home. Logistic regression and mixed models were applied to investigate associations between the air pollution exposure data and the GDM associated metabolites. RESULTS: Of the 276 hair metabolites identified, the concentrations of fourteen were significantly different between GDM cases and non-GDM controls, including some amino acids and their derivatives, fatty acids, organic acids, and exogenous compounds. Three of the metabolites found in significantly lower concentrations in the hair of women with GDM (2-hydroxybutyric acid, citramalic acid, and myristic acid) were also negatively associated with daily average concentrations of PM(2.5), PM(10), SO(2), NO(2), CO and the exposure estimates of PM(2.5) and NO(2,) and positively associated with O(3). CONCLUSIONS: This study demonstrated that the maternal hair metabolome reflects the longitudinal metabolic changes that occur in response to environmental exposures and the development of GDM. |
format | Online Article Text |
id | pubmed-9755849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97558492022-12-17 The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester Chen, Xuyang Zhao, Xue Jones, Mary Beatrix Harper, Alexander de Seymour, Jamie V. Yang, Yang Xia, Yinyin Zhang, Ting Qi, Hongbo Gulliver, John Cannon, Richard D. Saffery, Richard Zhang, Hua Han, Ting-Li Baker, Philip N. Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Gestational diabetes mellitus (GDM) is a metabolic condition defined as glucose intolerance with first presentation during pregnancy. Many studies suggest that environmental exposures, including air pollution, contribute to the pathogenesis of GDM. Although hair metabolite profiles have been shown to reflect pollution exposure, few studies have examined the link between environmental exposures, the maternal hair metabolome and GDM. The aim of this study was to investigate the longitudinal relationship (from pre-conception through to the third trimester) between air pollution exposure, the hair metabolome and GDM in a Chinese cohort. METHODS: A total of 1020 women enrolled in the Complex Lipids in Mothers and Babies (CLIMB) birth cohort were included in our study. Metabolites from maternal hair segments collected pre-conception, and in the first, second, and third trimesters were analysed using gas chromatography-mass spectrometry (GC-MS). Maternal exposure to air pollution was estimated by two methods, namely proximal and land use regression (LUR) models, using air quality data from the air quality monitoring station nearest to the participant’s home. Logistic regression and mixed models were applied to investigate associations between the air pollution exposure data and the GDM associated metabolites. RESULTS: Of the 276 hair metabolites identified, the concentrations of fourteen were significantly different between GDM cases and non-GDM controls, including some amino acids and their derivatives, fatty acids, organic acids, and exogenous compounds. Three of the metabolites found in significantly lower concentrations in the hair of women with GDM (2-hydroxybutyric acid, citramalic acid, and myristic acid) were also negatively associated with daily average concentrations of PM(2.5), PM(10), SO(2), NO(2), CO and the exposure estimates of PM(2.5) and NO(2,) and positively associated with O(3). CONCLUSIONS: This study demonstrated that the maternal hair metabolome reflects the longitudinal metabolic changes that occur in response to environmental exposures and the development of GDM. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755849/ /pubmed/36531491 http://dx.doi.org/10.3389/fendo.2022.1060309 Text en Copyright © 2022 Chen, Zhao, Jones, Harper, de Seymour, Yang, Xia, Zhang, Qi, Gulliver, Cannon, Saffery, Zhang, Han and Baker https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Endocrinology Chen, Xuyang Zhao, Xue Jones, Mary Beatrix Harper, Alexander de Seymour, Jamie V. Yang, Yang Xia, Yinyin Zhang, Ting Qi, Hongbo Gulliver, John Cannon, Richard D. Saffery, Richard Zhang, Hua Han, Ting-Li Baker, Philip N. The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title | The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title_full | The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title_fullStr | The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title_full_unstemmed | The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title_short | The relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: A longitudinal study from pre-conception to third trimester |
title_sort | relationship between hair metabolites, air pollution exposure and gestational diabetes mellitus: a longitudinal study from pre-conception to third trimester |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755849/ https://www.ncbi.nlm.nih.gov/pubmed/36531491 http://dx.doi.org/10.3389/fendo.2022.1060309 |
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