Literature DB >> 23306098

Identification of novel markers in rheumatoid arthritis through integrated analysis of DNA methylation and microRNA expression.

Lorenzo de la Rica1, José M Urquiza, David Gómez-Cabrero, Abul B M M K Islam, Nuria López-Bigas, Jesper Tegnér, René E M Toes, Esteban Ballestar.   

Abstract

Autoimmune rheumatic diseases are complex disorders, whose etiopathology is attributed to a crosstalk between genetic predisposition and environmental factors. Both variants of autoimmune susceptibility genes and environment are involved in the generation of aberrant epigenetic profiles in a cell-specific manner, which ultimately result in dysregulation of expression. Furthermore, changes in miRNA expression profiles also cause gene dysregulation associated with aberrant phenotypes. In rheumatoid arthritis, several cell types are involved in the destruction of the joints, synovial fibroblasts being among the most important. In this study we performed DNA methylation and miRNA expression screening of a set of rheumatoid arthritis synovial fibroblasts and compared the results with those obtained from osteoarthritis patients with a normal phenotype. DNA methylation screening allowed us to identify changes in novel key target genes like IL6R, CAPN8 and DPP4, as well as several HOX genes. A significant proportion of genes undergoing DNA methylation changes were inversely correlated with expression. miRNA screening revealed the existence of subsets of miRNAs that underwent changes in expression. Integrated analysis highlighted sets of miRNAs that are controlled by DNA methylation, and genes that are regulated by DNA methylation and are targeted by miRNAs with a potential use as clinical markers. Our study enabled the identification of novel dysregulated targets in rheumatoid arthritis synovial fibroblasts and generated a new workflow for the integrated analysis of miRNA and epigenetic control.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23306098     DOI: 10.1016/j.jaut.2012.12.005

Source DB:  PubMed          Journal:  J Autoimmun        ISSN: 0896-8411            Impact factor:   7.094


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