Comprehensive analyses of DNA methylation and gene expression profiles of Kawasaki disease.

摘要: OBJECTIVE Kawasaki disease (KD) is a childhood febrile vasculitis with unknown etiology. Epigenetic regulation in the gene expression dynamics has become increasingly important KD. Thus, we performed an integrated analysis of DNA methylation and data to identify novel molecular mechanisms key functional genes METHODS (GSE84624) (GSE68004) datasets were downloaded from Gene Expression Omnibus. Methylated-differentially expressed (mDEGs) documented as overlapping between differentially methylated (DMGs) GSE84624 (DEGs) GSE68004. Functional enrichment analyses mDEGs conducted using DAVID database. Protein-protein interaction (PPI) network was then constructed obtain hub involved KD STRING RESULTS A total 1389 DMGs 1362 DEGs screened out control samples. Overlapping them resulted four hypermethylated/downregulated 187 hypomethylated/upregulated genes. These mainly enriched inflammation response, innate immune blood coagulation, signaling pathways such platelet activation, osteoclast differentiation, chemokine pathway. PPI identified MAPK14 PHLPP1 KD, which could distinguish other common pediatric diseases. In addition, levels validated independent datasets. CONCLUSION This study provides view interactions among patients are influenced by may serve candidate biomarkers for