Project description:Genome wide DNA methylation profiling of cord blood cells obtained from gestational diabetes mellitus (GDM) pregnancies. The Illumina EPIC methylation beadchip array was used to obtain DNA methylation profiles across approximately 850,000 CpG dinucleotide methylation loci in DNA isolated from cord blood. Samples include 165 GDM subjects.
Project description:Objective: To explore the characteristics and underlying molecular mechanisms of genome-scale expression profiles of women with- or without- gestational diabetes mellitus and their offspring. Materials and Methods: We recruited a group of 21 pregnant women with gestational diabetes mellitus (GDM) and 20 healthy pregnant women as controls. For each pregnant women, RRBS were performed using the placenta and paired neonatal umbilical cord blood specimens. Differentially methylated regions (DMRs) were identified. Then, functional enrichment analysis was performed to differential methylated genes (DMGs) separately or interactively in placenta and umbilical cord blood. Results: Through the comparison of GDM and healthy samples, 2779 and 141 DMRs were identified from placenta and umbilical cord blood, respectively. Functional enrichment analysis showed that the placenta methylation and expression profiles of GDM women mirrored the molecular characteristics of “type II diabetes” and “insulin resistance”. Methylation-altered genes in umbilical cord blood were associated with pathways “type II diabetes” and “cholesterol metabolism”. DMGs illustrated significant overlaps among placenta and umbilical cord blood samples, and the overlapping DMGs were associated with cholesterol metabolism. Conclusions: Our research demonstrated the epigenomic alternations of GDM mothers and offspring. Our findings emphasized the importance of epigenetic modifications in the communication between pregnant women with GDM and offspring, and provided reference for the prevention, control, treatment, and intervention of perinatal deleterious events of GDM and neonatal complications.
Project description:Gestational diabetes mellitus (GDM), the most prevalent metabolic disorder during pregnancy, has long-term risks of metabolic diseases that might persist in adulthood. However, the underlying mechanisms remain unclear. Here, we profiled 78,767 cord blood mononuclear cells (CBMCs) from GDM and healthy mothers’ fetuses by single-cell RNA sequencing (scRNA-seq).
Project description:The oligo micoarrays were used to determine gene expression profiles of peripheral blood mononuclear cells from gestational diabetes mellitus (GDM) patients.
Project description:tsRNA profiles of gestational diabetes mellitus and healthy control groups were generated by deep sequencing using Illumina NextSeq 500.
Project description:Background: Intrauterine exposure to gestational diabetes mellitus (GDM) confers a lifelong increased risk for metabolic and other complex disorders to the offspring. GDM-induced epigenetic modifications modulating gene regulation and persisting into later life are generally assumed to mediate these increased disease risks. To identify candidate genes for fetal programming, we compared genome-wide methylation patterns of fetal cord bloods (FCBs) from GDM and control pregnancies. Methods and Results: Using Illumina's 450K methylation arrays and following correction for multiple testing, 65 CpG sites (52 of which are associated with genes) displayed significant methylation differences between GDM and control samples. Three of four candidate genes, ATP5A1, PRKCH, and SLC17A4, from our methylation screen and one, HIF3A, from the literature were validated by bisulfite pyrosequencing. The GDM effect on FCB methylation was more pronounced in women with insulin-dependent GDM who had a more severe metabolic phenotype than women with dietetically treated GDM. However, the effect remained significant after adjustment for the maternal BMI and gestational week in a multivariate regression model. Conclusions: Our study supports an association between maternal GDM and the epigenetic status of the exposed offspring. Consistent with a multifactorial disease model, the observed FCB methylation changes are of small effect size but affect multiple genes/loci. The identified genes are primary candidates for transmitting GDM effects to the next generation. They also may provide useful biomarkers for the diagnosis and prognosis of adverse prenatal exposures and assessing the success of interventions during pregnancy.