Literature DB >> 24698665

Metabolic fingerprint of Gestational Diabetes Mellitus.

Danuta Dudzik1, Marcin Zorawski2, Mariusz Skotnicki3, Wieslaw Zarzycki4, Gabryela Kozlowska4, Katarzyna Bibik-Malinowska3, María Vallejo5, Antonia García5, Coral Barbas5, M Pilar Ramos6.   

Abstract

Gestational Diabetes (GDM) is causing severe short- and long-term complications for mother, fetus or neonate. As yet, the metabolic alterations that are specific for the development of GDM have not been fully determined, which also precludes the early diagnosis and prognosis of this pathology. In this pilot study, we determine the metabolic fingerprint, using a multiplatform LC-QTOF/MS, GC-Q/MS and CE-TOF/MS system, of plasma and urine samples of 20 women with GDM and 20 with normal glucose tolerance in the second trimester of pregnancy. Plasma fingerprints allowed for the discrimination of GDM pregnant women from controls. In particular, lysoglycerophospholipids showed a close association with the glycemic state of the women. In addition, we identified some metabolites with a strong discriminative power, such as LPE(20:1), (20:2), (22:4); LPC(18:2), (20:4), (20:5); LPI(18:2), (20:4); LPS(20:0) and LPA(18:2), as well as taurine-bile acids and long-chain polyunsaturated fatty acid derivatives. Finally, we provide evidence for the implication of these compounds in metabolic routes, indicative of low-grade inflammation and altered redox-balance, that may be related with the specific pathophysiological context of the genesis of GDM. This highlights their potential use as prognostic markers for the identification of women at risk to develop severe glucose intolerance during pregnancy. BIOLOGICAL SIGNIFICANCE: Gestational Diabetes Mellitus (GDM) is increasing worldwide and, although diabetes usually remits after pregnancy, women with GDM have a high risk of developing postpartum type 2-diabetes, particularly when accompanied by obesity. Therefore, understanding the pathophysiology of GDM, as well as the identification of potentially modifiable risk factors and early diagnostic markers for GDM are relevant issues. In the present study, we devised a multiplatform metabolic fingerprinting approach to obtain a comprehensive picture of the early metabolic alternations that occur in GDM, and may reflect on the specific pathophysiological context of the disease. Future studies at later stages of gestation will allow us to validate the discriminant power of the identified metabolites.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Gestational Diabetes Mellitus; Maternal metabolism; Metabolic fingerprinting

Mesh:

Substances:

Year:  2014        PMID: 24698665     DOI: 10.1016/j.jprot.2014.03.025

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  27 in total

1.  Maternal Early Pregnancy Serum Metabolites and Risk of Gestational Diabetes Mellitus.

Authors:  Daniel A Enquobahrie; Marie Denis; Mahlet G Tadesse; Bizu Gelaye; Habtom W Ressom; Michelle A Williams
Journal:  J Clin Endocrinol Metab       Date:  2015-09-25       Impact factor: 5.958

Review 2.  Metabolomics of Diabetes in Pregnancy.

Authors:  Carolyn F McCabe; Wei Perng
Journal:  Curr Diab Rep       Date:  2017-08       Impact factor: 4.810

3.  Associations of maternal BMI and insulin resistance with the maternal metabolome and newborn outcomes.

Authors:  Victoria Sandler; Anna C Reisetter; James R Bain; Michael J Muehlbauer; Michael Nodzenski; Robert D Stevens; Olga Ilkayeva; Lynn P Lowe; Boyd E Metzger; Christopher B Newgard; Denise M Scholtens; William L Lowe
Journal:  Diabetologia       Date:  2016-12-16       Impact factor: 10.122

4.  Metabolites involved in purine degradation, insulin resistance, and fatty acid oxidation are associated with prediction of Gestational diabetes in plasma.

Authors:  Lauren E McMichael; Hannah Heath; Catherine M Johnson; Rob Fanter; Noemi Alarcon; Adilene Quintana-Diaz; Kari Pilolla; Andrew Schaffner; Elissa Jelalian; Rena R Wing; Alex Brito; Suzanne Phelan; Michael R La Frano
Journal:  Metabolomics       Date:  2021-11-27       Impact factor: 4.290

5.  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

6.  Branched-chain and aromatic amino acid levels response to an oral glucose load associated with gestational diabetes mellitus.

Authors:  BeiBei Gao; Qiong Shen; Ying Wu; MengDie Cao; QiWu Zhang; Lei Chen
Journal:  Sci Rep       Date:  2022-07-18       Impact factor: 4.996

Review 7.  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

Review 8.  What Have Metabolomics Approaches Taught Us About Type 2 Diabetes?

Authors:  Alba Gonzalez-Franquesa; Alison M Burkart; Elvira Isganaitis; Mary-Elizabeth Patti
Journal:  Curr Diab Rep       Date:  2016-08       Impact factor: 4.810

9.  A role for GPR55 in human placental venous endothelial cells.

Authors:  Julia Kremshofer; Monika Siwetz; Veronika M Berghold; Ingrid Lang; Berthold Huppertz; Martin Gauster
Journal:  Histochem Cell Biol       Date:  2015-04-14       Impact factor: 4.304

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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