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The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine
BACKGROUND: Gestational diabetes mellitus (GDM) is defined as impaired glucose tolerance in pregnancy and without a history of diabetes mellitus. While there are limited metabolomic studies involving advanced maternal age in China, we aim to investigate the metabolomic profiling of plasma and urine...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892719/ https://www.ncbi.nlm.nih.gov/pubmed/35236326 http://dx.doi.org/10.1186/s12884-022-04416-5 |
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author | He, Xiao-ling Hu, Xiao-jing Luo, Bai-yu Xia, Yin-Yin Zhang, Ting Saffery, Richard De Seymour, Jamie Zou, Zhen Xu, Ge Zhao, Xue Qi, Hong-bo Han, Ting-Li Zhang, Hua Baker, Philip N. |
author_facet | He, Xiao-ling Hu, Xiao-jing Luo, Bai-yu Xia, Yin-Yin Zhang, Ting Saffery, Richard De Seymour, Jamie Zou, Zhen Xu, Ge Zhao, Xue Qi, Hong-bo Han, Ting-Li Zhang, Hua Baker, Philip N. |
author_sort | He, Xiao-ling |
collection | PubMed |
description | BACKGROUND: Gestational diabetes mellitus (GDM) is defined as impaired glucose tolerance in pregnancy and without a history of diabetes mellitus. While there are limited metabolomic studies involving advanced maternal age in China, we aim to investigate the metabolomic profiling of plasma and urine in pregnancies complicated with GDM aged at 35–40 years at early and late gestation. METHODS: Twenty normal and 20 GDM pregnant participants (≥ 35 years old) were enlisted from the Complex Lipids in Mothers and Babies (CLIMB) study. Maternal plasma and urine collected at the first and third trimester were detected using gas chromatography-mass spectrometry (GC-MS). RESULTS: One hundred sixty-five metabolites and 192 metabolites were found in plasma and urine respectively. Urine metabolomic profiles were incapable to distinguish GDM from controls, in comparison, there were 14 and 39 significantly different plasma metabolites between the two groups in first and third trimester respectively. Especially, by integrating seven metabolites including cysteine, malonic acid, alanine, 11,14-eicosadienoic acid, stearic acid, arachidic acid, and 2-methyloctadecanoic acid using multivariant receiver operating characteristic models, we were capable of discriminating GDM from normal pregnancies with an area under curve of 0.928 at first trimester. CONCLUSION: This study explores metabolomic profiles between GDM and normal pregnancies at the age of 35–40 years longitudinally. Several compounds have the potential to be biomarkers to predict GDM with advanced maternal age. Moreover, the discordant metabolome profiles between the two groups could be useful to understand the etiology of GDM with advanced maternal age. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04416-5. |
format | Online Article Text |
id | pubmed-8892719 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88927192022-03-10 The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine He, Xiao-ling Hu, Xiao-jing Luo, Bai-yu Xia, Yin-Yin Zhang, Ting Saffery, Richard De Seymour, Jamie Zou, Zhen Xu, Ge Zhao, Xue Qi, Hong-bo Han, Ting-Li Zhang, Hua Baker, Philip N. BMC Pregnancy Childbirth Research BACKGROUND: Gestational diabetes mellitus (GDM) is defined as impaired glucose tolerance in pregnancy and without a history of diabetes mellitus. While there are limited metabolomic studies involving advanced maternal age in China, we aim to investigate the metabolomic profiling of plasma and urine in pregnancies complicated with GDM aged at 35–40 years at early and late gestation. METHODS: Twenty normal and 20 GDM pregnant participants (≥ 35 years old) were enlisted from the Complex Lipids in Mothers and Babies (CLIMB) study. Maternal plasma and urine collected at the first and third trimester were detected using gas chromatography-mass spectrometry (GC-MS). RESULTS: One hundred sixty-five metabolites and 192 metabolites were found in plasma and urine respectively. Urine metabolomic profiles were incapable to distinguish GDM from controls, in comparison, there were 14 and 39 significantly different plasma metabolites between the two groups in first and third trimester respectively. Especially, by integrating seven metabolites including cysteine, malonic acid, alanine, 11,14-eicosadienoic acid, stearic acid, arachidic acid, and 2-methyloctadecanoic acid using multivariant receiver operating characteristic models, we were capable of discriminating GDM from normal pregnancies with an area under curve of 0.928 at first trimester. CONCLUSION: This study explores metabolomic profiles between GDM and normal pregnancies at the age of 35–40 years longitudinally. Several compounds have the potential to be biomarkers to predict GDM with advanced maternal age. Moreover, the discordant metabolome profiles between the two groups could be useful to understand the etiology of GDM with advanced maternal age. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12884-022-04416-5. BioMed Central 2022-03-02 /pmc/articles/PMC8892719/ /pubmed/35236326 http://dx.doi.org/10.1186/s12884-022-04416-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research He, Xiao-ling Hu, Xiao-jing Luo, Bai-yu Xia, Yin-Yin Zhang, Ting Saffery, Richard De Seymour, Jamie Zou, Zhen Xu, Ge Zhao, Xue Qi, Hong-bo Han, Ting-Li Zhang, Hua Baker, Philip N. The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title | The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title_full | The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title_fullStr | The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title_full_unstemmed | The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title_short | The effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
title_sort | effects of gestational diabetes mellitus with maternal age between 35 and 40 years on the metabolite profiles of plasma and urine |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892719/ https://www.ncbi.nlm.nih.gov/pubmed/35236326 http://dx.doi.org/10.1186/s12884-022-04416-5 |
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