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Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS

OBJECTIVE: Through metabolomics method, the objective of the paper is to differentially screen serum metabolites of GDM patients and healthy pregnant women, to explore potential biomarkers of GDM and analyze related pathways, and to explain the potential mechanism and biological significance of GDM....

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Autores principales: Li, Genxia, Gao, Wanli, Xu, Yajuan, Xie, Mingkun, Tang, Suhua, Yin, Pan, Guo, Shuhua, Chu, Shuhui, Sultana, Shaima, Cui, Shihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923470/
https://www.ncbi.nlm.nih.gov/pubmed/31889794
http://dx.doi.org/10.1016/j.sjbs.2019.09.016
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author Li, Genxia
Gao, Wanli
Xu, Yajuan
Xie, Mingkun
Tang, Suhua
Yin, Pan
Guo, Shuhua
Chu, Shuhui
Sultana, Shaima
Cui, Shihong
author_facet Li, Genxia
Gao, Wanli
Xu, Yajuan
Xie, Mingkun
Tang, Suhua
Yin, Pan
Guo, Shuhua
Chu, Shuhui
Sultana, Shaima
Cui, Shihong
author_sort Li, Genxia
collection PubMed
description OBJECTIVE: Through metabolomics method, the objective of the paper is to differentially screen serum metabolites of GDM patients and healthy pregnant women, to explore potential biomarkers of GDM and analyze related pathways, and to explain the potential mechanism and biological significance of GDM. METHODS: The serum samples from 30 GDM patients and 30 healthy pregnant women were selected to conduct non-targeted metabolomics study by liquid chromatography-mass spectrometry. The differential metabolites between the two groups were searched and the metabolic pathway was analyzed by KEGG database. RESULTS: Multivariate statistical analysis found that serum metabolism in GDM patients was different significantly from healthy pregnant women, 36 differential metabolites and corresponding metabolic pathways were identified in serum, which involved several metabolic ways like, fatty acid metabolism, butyric acid metabolism, bile secretion, and amino acid metabolism. CONCLUSION: The discovery of these biomarkers provided a new theoretical basis and experimental basis for further study of the early diagnosis and pathogenesis of GDM. At the same time, LC-MS-based serum metabolomics methods also showed great application values in disease diagnosis and mechanism research.
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spelling pubmed-69234702019-12-30 Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS Li, Genxia Gao, Wanli Xu, Yajuan Xie, Mingkun Tang, Suhua Yin, Pan Guo, Shuhua Chu, Shuhui Sultana, Shaima Cui, Shihong Saudi J Biol Sci Article OBJECTIVE: Through metabolomics method, the objective of the paper is to differentially screen serum metabolites of GDM patients and healthy pregnant women, to explore potential biomarkers of GDM and analyze related pathways, and to explain the potential mechanism and biological significance of GDM. METHODS: The serum samples from 30 GDM patients and 30 healthy pregnant women were selected to conduct non-targeted metabolomics study by liquid chromatography-mass spectrometry. The differential metabolites between the two groups were searched and the metabolic pathway was analyzed by KEGG database. RESULTS: Multivariate statistical analysis found that serum metabolism in GDM patients was different significantly from healthy pregnant women, 36 differential metabolites and corresponding metabolic pathways were identified in serum, which involved several metabolic ways like, fatty acid metabolism, butyric acid metabolism, bile secretion, and amino acid metabolism. CONCLUSION: The discovery of these biomarkers provided a new theoretical basis and experimental basis for further study of the early diagnosis and pathogenesis of GDM. At the same time, LC-MS-based serum metabolomics methods also showed great application values in disease diagnosis and mechanism research. Elsevier 2019-12 2019-09-13 /pmc/articles/PMC6923470/ /pubmed/31889794 http://dx.doi.org/10.1016/j.sjbs.2019.09.016 Text en © 2019 Production and hosting by Elsevier B.V. on behalf of King Saud University. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Li, Genxia
Gao, Wanli
Xu, Yajuan
Xie, Mingkun
Tang, Suhua
Yin, Pan
Guo, Shuhua
Chu, Shuhui
Sultana, Shaima
Cui, Shihong
Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title_full Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title_fullStr Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title_full_unstemmed Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title_short Serum metabonomics study of pregnant women with gestational diabetes mellitus based on LC-MS
title_sort serum metabonomics study of pregnant women with gestational diabetes mellitus based on lc-ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6923470/
https://www.ncbi.nlm.nih.gov/pubmed/31889794
http://dx.doi.org/10.1016/j.sjbs.2019.09.016
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