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Large-Scale Longitudinal Metabolomics Study Reveals Different Trimester-Specific Alterations of Metabolites in Relation to Gestational Diabetes Mellitus

  • Hongzhi Zhao
  • , Han Li
  • , Chi Kong Arthur Chung
  • , Li Xiang
  • , Xiaona Li
  • , Yuanyuan Zheng
  • , Hemi Luan
  • , Lin Zhu
  • , Wenyu Liu
  • , Yang Peng
  • , Yaxing Zhao
  • , Shunqing Xu
  • , Yuanyuan Li*
  • , Zongwei Cai*
  • *Corresponding author for this work

Research output: Contribution to journal › Journal article › peer-review

74 Citations (Scopus)

Abstract

Despite the increasing research attention paid to gestational diabetes mellitus (GDM) due to its high prevalence, limited knowledge is available about its pathogenesis. In this study, 428 serum samples were collected from 107 pregnant women suffering from GDM and 107 matched healthy controls. The nontargeted metabolomics data of maternal serum samples from the first (T1, n = 214) and second trimesters (T2, n = 214) were acquired by using ultrahigh performance liquid chromatography coupled with Orbitrap mass spectrometry (MS). A total of 93 differential metabolites were identified on the basis of the accurate mass and MS/MS fragmentation. After false discovery rate correction, the levels of 31 metabolites in GDM group were significantly altered in the first trimester. The differential metabolites were mainly attributed to purine metabolism, fatty acid β-oxidation, urea cycle, and tricarboxylic acid cycle pathways. The fold changes across pregnancy (T2/T1) of six amino acids (serine, proline, leucine/isoleucine, glutamic acid, tyrosine, and ornithine), a lysophosphatidylcholine (LysoPC(20:4)), and uric acid in GDM group were significantly different from those in the control groups, suggesting that these 8 metabolites might have contributed to the occurrence and progression of GDM. The findings revealed that the amino acid metabolism, lipid metabolism, and other pathways might be disturbed prior to GDM onset and during the period from the first to the second trimester of pregnancy.

Original languageEnglish
Pages (from-to)292-300
Number of pages9
JournalJournal of Proteome Research
Volume18
Issue number1
Early online date29 Nov 2018
DOIs
Publication statusPublished - 4 Jan 2019

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

User-Defined Keywords

  • gestational diabetes mellitus
  • high-resolution mass spectrometry
  • metabolic pathways
  • nontargeted metabolomics study

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