Literature DB >> 26677023

Comprehensive analysis of serum metabolites in gestational diabetes mellitus by UPLC/Q-TOF-MS.

Tianhu Liu1, Jiaxun Li2, Fengcheng Xu1, Mengni Wang2, Shijia Ding3, Hongbing Xu4, Fang Dong5.   

Abstract

Gestational diabetes mellitus (GDM) refers to the first sign or onset of diabetes mellitus during pregnancy rather than progestation. In recent decades, more and more research has focused on the etiology and pathogenesis of GDM in order to further understand GDM progress and recovery. Using an advanced metabolomics platform based on ultra-performance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS), we explored the changes in serum metabolites between women with GDM and healthy controls during and after pregnancy. Some significant differences were discovered using multivariate analysis including partial least-squares discriminant analysis (PLS-DA) and orthogonal PLS-DA (OPLS-DA). The dysregulated metabolites were further compared and verified in several databases to understand how these compounds might function as potential biomarkers. Analyses of the metabolic pathways associated with these potential biomarkers were subsequently explored. A total of 35 metabolites were identified, contributing to GDM progress to some extent. The identified biomarkers were involved in some important metabolic pathways including glycine, serine, and threonine metabolism; steroid hormone biosynthesis; tyrosine metabolism; glycerophospholipid metabolism; and fatty acid metabolism. The above mentioned metabolic pathways mainly participate in three major metabolic cycles in humans, including lipid metabolism, carbohydrate metabolism, and amino acid metabolism. In this pilot study, the valuable comprehensive analysis gave us further insight into the etiology and pathophysiology of GDM, which might benefit the feasibility of a rapid, accurate diagnosis and reasonable treatment as soon as possible but also prevent GDM and its related short- and long-term complications.

Entities:  

Keywords:  Biomarkers; Gestational diabetes mellitus; Metabolomics; Pathogenesis; UPLC/Q-TOF-MS

Mesh:

Substances:

Year:  2015        PMID: 26677023     DOI: 10.1007/s00216-015-9211-3

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  13 in total

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2.  [High-performance liquid chromatography-mass spectrometry-based serum metabolic profiling in patients with HBV-related hepatocellular carcinoma].

Authors:  Lei Zhang; Zhijuan Fan; Hua Kang; Yufan Wang; Shuye Liu; Zhongqiang Shan
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-01-30

3.  Potential biomarkers identified in plasma of patients with gestational diabetes mellitus.

Authors:  Huajie Zhang; Yuxi Zhao; Danqing Zhao; Xinqian Chen; Naseer Ullah Khan; Xukun Liu; Qihong Zheng; Yi Liang; Yuhua Zhu; Javed Iqbal; Jing Lin; Liming Shen
Journal:  Metabolomics       Date:  2021-11-05       Impact factor: 4.290

4.  Candidate metabolite markers of peripheral neuropathy in Chinese patients with type 2 diabetes.

Authors:  Ming-Mei Shao; Hong-Jiao Xiang; Hao Lu; Pei-Hao Yin; Guo-Wen Li; Yun-Man Wang; Lin Chen; Qing-Guang Chen; Cheng Zhao; Qun Lu; Tao Wu; Guang Ji
Journal:  Am J Transl Res       Date:  2022-08-15       Impact factor: 3.940

Review 5.  Gestational diabetes mellitus: an updated overview.

Authors:  E Chiefari; B Arcidiacono; D Foti; A Brunetti
Journal:  J Endocrinol Invest       Date:  2017-03-10       Impact factor: 4.256

6.  Integrated microbiome-metabolome analysis reveals novel associations between fecal microbiota and hyperglycemia-related changes of plasma metabolome in gestational diabetes mellitus.

Authors:  Lina Dong; Lingna Han; Tao Duan; Shumei Lin; Jianguo Li; Xiaojing Liu
Journal:  RSC Adv       Date:  2020-01-09       Impact factor: 3.361

7.  Metabolic Biomarkers for Prognostic Prediction of Pre-diabetes: results from a longitudinal cohort study.

Authors:  Hailuan Zeng; Renchao Tong; Wenxin Tong; Qiaoling Yang; Miaoyan Qiu; Aizhen Xiong; Siming Sun; Lili Ding; Hongli Zhang; Li Yang; Jingyan Tian
Journal:  Sci Rep       Date:  2017-07-26       Impact factor: 4.379

8.  Metabolomics for predicting hyperglycemia in pregnancy: a protocol for a systematic review and potential meta-analysis.

Authors:  Bianca Fioravanti Nicolosi; Debora F Leite; Jussara Mayrink; Renato T Souza; José Guilherme Cecatti; Iracema de Mattos Paranhos Calderon
Journal:  Syst Rev       Date:  2019-08-24

Review 9.  Regulation of maternal-fetal metabolic communication.

Authors:  Caitlyn E Bowman; Zoltan Arany; Michael J Wolfgang
Journal:  Cell Mol Life Sci       Date:  2020-10-21       Impact factor: 9.261

10.  Unique Biomarker Characteristics in Gestational Diabetes Mellitus Identified by LC-MS-Based Metabolic Profiling.

Authors:  Xingjun Meng; Bo Zhu; Yan Liu; Lei Fang; Binbin Yin; Yanni Sun; Mengni Ma; Yuli Huang; Yuning Zhu; Yunlong Zhang
Journal:  J Diabetes Res       Date:  2021-06-09       Impact factor: 4.011

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