Genome-wide DNA methylation pattern in systemic sclerosis microvascular endothelial cells: Identification of epigenetically affected key genes and pathways

Abstract

Background: The etiology of systemic sclerosis is not clear, but there is evidence suggesting a critical role for epigenetic alterations in disease pathogenesis and clinical expression. We sought, in this study, to characterize the genome-wide DNA methylation signature in systemic sclerosis microvascular endothelial cells. Methods: We performed a genome-wide DNA methylation study in microvascular endothelial cells derived from seven diffuse cutaneous systemic sclerosis patients compared to seven age-, sex-, and ethnicity-matched healthy controls. We paired matched samples on Illumina HumanMethylation450 (three diffuse cutaneous systemic sclerosis microvascular endothelial cells and three controls), and reproduced the results in an independent set of matched patient and controls using Illumina Infinium MethylationEPIC (four diffuse cutaneous systemic sclerosis patients and four controls) to identify differentially methylated genes. Results: We identified 71,353 differentially methylated CpG sites in systemic sclerosis microvascular endothelial cells using Infinium MethylationEPIC microarray in the first group (0.081% of representative probes) and 33,170 CpG sites in the second group using HumanMethylation450 microarray (0.073% of representative probes) in diffuse cutaneous systemic sclerosis microvascular endothelial cells. Among the two groups of subjects, we identified differential methylation of 2455 CpG sites, representing 1301 genes. Most of the differentially methylated CpG sites were hypermethylated (1625 CpG), corresponding to 910 genes. Common hypermethylated genes in systemic sclerosis microvascular endothelial cells include NOS1, DNMT3A, DNMT3B, HDAC4, and ANGPT2. We also identified hypomethylation of IL17RA, CTNNA3, ICAM2, and SDK1 in systemic sclerosis microvascular endothelial cells. Furthermore, we demonstrate significant inverse correlation between DNA methylation status and gene expression in the majority of genes evaluated. Gene ontology analysis of hypermethylated genes demonstrated enrichment of genes involved in angiogenesis ( p = 0.0006). Pathway analysis of hypomethylated genes includes genes involved in vascular smooth muscle contraction ( p = 0.014) and adherens junctions ( p = 0.013). Conclusion: Our data suggest the presence of significant genome-wide DNA methylation aberrancies in systemic sclerosis microvascular endothelial cells, and identify novel affected genes and pathways in systemic sclerosis microvascular endothelial cells.