Literature DB >> 27019060

Maternal genome-wide DNA methylation profiling in gestational diabetes shows distinctive disease-associated changes relative to matched healthy pregnancies.

Pensee Wu1,2, William E Farrell1, Kim E Haworth1, Richard D Emes3,4, Mark O Kitchen1, John R Glossop1,5, Fahmy W Hanna6, Anthony A Fryer1.   

Abstract

Several recent reports have described associations between gestational diabetes (GDM) and changes to the epigenomic landscape where the DNA samples were derived from either cord or placental sources. We employed genome-wide 450K array analysis to determine changes to the epigenome in a unique cohort of maternal blood DNA from 11 pregnant women prior to GDM development relative to matched controls. Hierarchical clustering segregated the samples into 2 distinct clusters comprising GDM and healthy pregnancies. Screening identified 100 CpGs with a mean β-value difference of ≥0.2 between cases and controls. Using stringent criteria, 5 CpGs (within COPS8, PIK3R5, HAAO, CCDC124, and C5orf34 genes) demonstrated potentials to be clinical biomarkers as revealed by differential methylation in 8 of 11 women who developed GDM relative to matched controls. We identified, for the first time, maternal methylation changes prior to the onset of GDM that may prove useful as biomarkers for early therapeutic intervention.

Entities:  

Keywords:  450K array; biomarker; epigenetics; fetal programming; gestational diabetes

Mesh:

Year:  2018        PMID: 27019060      PMCID: PMC5873366          DOI: 10.1080/15592294.2016.1166321

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  44 in total

1.  KEGG: kyoto encyclopedia of genes and genomes.

Authors:  M Kanehisa; S Goto
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  GenABEL: an R library for genome-wide association analysis.

Authors:  Yurii S Aulchenko; Stephan Ripke; Aaron Isaacs; Cornelia M van Duijn
Journal:  Bioinformatics       Date:  2007-03-23       Impact factor: 6.937

3.  Adaptations of placental and cord blood ABCA1 DNA methylation profile to maternal metabolic status.

Authors:  Andrée-Anne Houde; Simon-Pierre Guay; Véronique Desgagné; Marie-France Hivert; Jean-Patrice Baillargeon; Julie St-Pierre; Patrice Perron; Daniel Gaudet; Diane Brisson; Luigi Bouchard
Journal:  Epigenetics       Date:  2013-10-10       Impact factor: 4.528

4.  Gestational diabetes mellitus diagnosed with a 2-h 75-g oral glucose tolerance test and adverse pregnancy outcomes.

Authors:  M I Schmidt; B B Duncan; A J Reichelt; L Branchtein; M C Matos; A Costa e Forti; E R Spichler; J M Pousada; M M Teixeira; T Yamashita
Journal:  Diabetes Care       Date:  2001-07       Impact factor: 19.112

5.  Epigenetic profiling of somatic tissues from human autopsy specimens identifies tissue- and individual-specific DNA methylation patterns.

Authors:  Hyang-Min Byun; Kimberly D Siegmund; Fei Pan; Daniel J Weisenberger; Gary Kanel; Peter W Laird; Allen S Yang
Journal:  Hum Mol Genet       Date:  2009-09-23       Impact factor: 6.150

6.  A proteome-scale map of the human interactome network.

Authors:  Thomas Rolland; Murat Taşan; Benoit Charloteaux; Samuel J Pevzner; Quan Zhong; Nidhi Sahni; Song Yi; Irma Lemmens; Celia Fontanillo; Roberto Mosca; Atanas Kamburov; Susan D Ghiassian; Xinping Yang; Lila Ghamsari; Dawit Balcha; Bridget E Begg; Pascal Braun; Marc Brehme; Martin P Broly; Anne-Ruxandra Carvunis; Dan Convery-Zupan; Roser Corominas; Jasmin Coulombe-Huntington; Elizabeth Dann; Matija Dreze; Amélie Dricot; Changyu Fan; Eric Franzosa; Fana Gebreab; Bryan J Gutierrez; Madeleine F Hardy; Mike Jin; Shuli Kang; Ruth Kiros; Guan Ning Lin; Katja Luck; Andrew MacWilliams; Jörg Menche; Ryan R Murray; Alexandre Palagi; Matthew M Poulin; Xavier Rambout; John Rasla; Patrick Reichert; Viviana Romero; Elien Ruyssinck; Julie M Sahalie; Annemarie Scholz; Akash A Shah; Amitabh Sharma; Yun Shen; Kerstin Spirohn; Stanley Tam; Alexander O Tejeda; Shelly A Trigg; Jean-Claude Twizere; Kerwin Vega; Jennifer Walsh; Michael E Cusick; Yu Xia; Albert-László Barabási; Lilia M Iakoucheva; Patrick Aloy; Javier De Las Rivas; Jan Tavernier; Michael A Calderwood; David E Hill; Tong Hao; Frederick P Roth; Marc Vidal
Journal:  Cell       Date:  2014-11-20       Impact factor: 41.582

7.  Insulin promoter DNA methylation correlates negatively with insulin gene expression and positively with HbA(1c) levels in human pancreatic islets.

Authors:  B T Yang; T A Dayeh; C L Kirkpatrick; J Taneera; R Kumar; L Groop; C B Wollheim; M D Nitert; C Ling
Journal:  Diabetologia       Date:  2010-11-23       Impact factor: 10.122

8.  Placental adiponectin gene DNA methylation levels are associated with mothers' blood glucose concentration.

Authors:  Luigi Bouchard; Marie-France Hivert; Simon-Pierre Guay; Julie St-Pierre; Patrice Perron; Diane Brisson
Journal:  Diabetes       Date:  2012-03-06       Impact factor: 9.461

9.  Metabolic programming of MEST DNA methylation by intrauterine exposure to gestational diabetes mellitus.

Authors:  Nady El Hajj; Galyna Pliushch; Eberhard Schneider; Marcus Dittrich; Tobias Müller; Michael Korenkov; Melanie Aretz; Ulrich Zechner; Harald Lehnen; Thomas Haaf
Journal:  Diabetes       Date:  2012-12-03       Impact factor: 9.461

10.  Epigenetic regulation of PPARGC1A in human type 2 diabetic islets and effect on insulin secretion.

Authors:  C Ling; S Del Guerra; R Lupi; T Rönn; C Granhall; H Luthman; P Masiello; P Marchetti; L Groop; S Del Prato
Journal:  Diabetologia       Date:  2008-02-13       Impact factor: 10.122

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  24 in total

1.  SLC9B1 methylation predicts fetal intolerance of labor.

Authors:  Anna K Knight; Karen N Conneely; Varun Kilaru; Dawayland Cobb; Jennifer L Payne; Samantha Meilman; Elizabeth J Corwin; Zachary A Kaminsky; Anne L Dunlop; Alicia K Smith
Journal:  Epigenetics       Date:  2018-01-25       Impact factor: 4.528

2.  Physical activity and epigenetic biomarkers in maternal blood during pregnancy.

Authors:  Sylvia E Badon; Alyson J Littman; Kwun Chuen Gary Chan; Mahlet G Tadesse; Patricia L Stapleton; Theo K Bammler; Tanya K Sorensen; Michelle A Williams; Daniel A Enquobahrie
Journal:  Epigenomics       Date:  2018-10-16       Impact factor: 4.778

Review 3.  Maternal DNA Methylation During Pregnancy: a Review.

Authors:  Jagyashila Das; Arindam Maitra
Journal:  Reprod Sci       Date:  2021-01-19       Impact factor: 3.060

Review 4.  Epigenetic Modifications Associated with Exposure to Endocrine Disrupting Chemicals in Patients with Gestational Diabetes Mellitus.

Authors:  Mateusz Kunysz; Olimpia Mora-Janiszewska; Dorota Darmochwał-Kolarz
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

5.  Identification of Diagnostic CpG Signatures in Patients with Gestational Diabetes Mellitus via Epigenome-Wide Association Study Integrated with Machine Learning.

Authors:  Yan Liu; Hui Geng; Bide Duan; Xiuzhi Yang; Airong Ma; Xiaoyan Ding
Journal:  Biomed Res Int       Date:  2021-05-19       Impact factor: 3.411

6.  Comparison of DNA Methylation Changes Between the Gestation Period and the After-Delivery State: A Pilot Study of 10 Women.

Authors:  Ming-Wei Lin; Mong-Hsun Tsai; Ching-Yu Shih; Yi-Yun Tai; Chien-Nan Lee; Shin-Yu Lin
Journal:  Front Nutr       Date:  2022-05-04

Review 7.  The Emerging Role of Biomarkers in the Diagnosis of Gestational Diabetes Mellitus.

Authors:  Natassia Rodrigo; Sarah J Glastras
Journal:  J Clin Med       Date:  2018-05-23       Impact factor: 4.241

Review 8.  Molecular Biomarkers for Gestational Diabetes Mellitus.

Authors:  Stephanie Dias; Carmen Pheiffer; Yoonus Abrahams; Paul Rheeder; Sumaiya Adam
Journal:  Int J Mol Sci       Date:  2018-09-26       Impact factor: 5.923

9.  Epigenetic Profiles Reveal That ADCYAP1 Serves as Key Molecule in Gestational Diabetes Mellitus.

Authors:  Xue Li; Wenhong Yang; Yanning Fang
Journal:  Comput Math Methods Med       Date:  2019-08-14       Impact factor: 2.238

10.  Abnormal DNA methylation may contribute to the progression of osteosarcoma.

Authors:  Xiao-Gang Chen; Liang Ma; Jia-Xin Xu
Journal:  Mol Med Rep       Date:  2017-10-25       Impact factor: 2.952

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