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. 2018 Aug:142:10-18.
doi: 10.1016/j.diabres.2018.03.016. Epub 2018 Mar 26.

Genome-wide DNA methylation profiling in infants born to gestational diabetes mellitus

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Genome-wide DNA methylation profiling in infants born to gestational diabetes mellitus

Xiaoling Weng et al. Diabetes Res Clin Pract. 2018 Aug.

Abstract

Background: Offspring exposed to gestational diabetes mellitus (GDM) are at a high risk for metabolic diseases. The mechanisms behind the association between offspring exposed to GDM in utero and an increased risk of health consequences later in life remain unclear. The aim of this study was to clarify the changes in methylation levels in the foetuses of women with GDM and to explore the possible mechanisms linking maternal GDM with a high risk of metabolic diseases in offspring later in life.

Methods: A genome-wide comparative methylome analysis on the umbilical cord blood of infants born to 30 women with GDM and 33 women with normal pregnancy was performed using Infinium HumanMethylation 450 BeadChip assays. A quantitative methylation analysis of 18 CpG dinucleotides was verified in the validation umbilical cord blood samples from 102 newborns exposed to GDM and 103 newborns who experienced normal pregnancy by MassARRAY EpiTYPER.

Results: A total of 4485 differentially methylated sites (DMSs), including 2150 hypermethylated sites and 2335 hypomethylated sites, with a mean β-value difference of >0.05, were identified by the 450k array. Good agreement was observed between the massarray validation data and the 450k array data (R2 > 0.99; P < 0.0001). Thirty-seven CpGs (representing 20 genes) with a β-value difference of > 0.15 between the GDM and healthy groups were identified and showed potential as clinical biomarkers for GDM. "hsa04940: Type I diabetes mellitus" was the most significant Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, with a P-value = 3.20E-07 and 1.36E-02 in the hypermethylated and hypomethylated genepathway enrichment analyses, respectively. In the Gene Ontology (GO) pathway analyses, immune MHC (major histocompatibility complex)-related pathways and neuron development-related pathways were significantly enriched.

Conclusions: Our results suggest that GDM has epigenetic effects on genes that are preferentially involved in the Type I diabetes mellitus pathway, immune MHC-related pathways and neuron development-related pathways, with consequences on fetal growth and development, and provide supportive evidence that DNA methylation is involved in fetal metabolic programming.

Keywords: Genome-wide DNA methylation; Gestational diabetes mellitus; Neuron development; Type I diabetes mellitus.

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