Genome-scale case-control analysis of CD4+ T-cell DNA methylation in juvenile idiopathic arthritis reveals potential targets involved in disease
11 pages
English

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Genome-scale case-control analysis of CD4+ T-cell DNA methylation in juvenile idiopathic arthritis reveals potential targets involved in disease

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11 pages
English
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Description

Juvenile Idiopathic Arthritis (JIA) is a complex autoimmune rheumatic disease of largely unknown cause. Evidence is growing that epigenetic variation, particularly DNA methylation, is associated with autoimmune disease. However, nothing is currently known about the potential role of aberrant DNA methylation in JIA. As a first step to addressing this knowledge gap, we have profiled DNA methylation in purified CD4+ T cells from JIA subjects and controls. Genomic DNA was isolated from peripheral blood CD4+ T cells from 14 oligoarticular and polyarticular JIA cases with active disease, and healthy age- and sex-matched controls. Genome-scale methylation analysis was carried out using the Illumina Infinium HumanMethylation27 BeadChip. Methylation data at >25,000 CpGs was compared in a case-control study design. Results Methylation levels were significantly different (FDR adjusted p<0.1) at 145 loci. Removal of four samples exposed to methotrexate had a striking impact on the outcome of the analysis, reducing the number of differentially methylated loci to 11. The methotrexate-naive analysis identified reduced methylation at the gene encoding the pro-inflammatory cytokine IL32, which was subsequently replicated using a second analysis platform and a second set of case-control pairs. Conclusions Our data suggests that differential T cell DNA methylation may be a feature of JIA, and that reduced methylation at IL32 is associated with this disease. Further work in larger prospective and longitudinal sample collections is required to confirm these findings, assess whether the identified differences are causal or consequential of disease, and further investigate the epigenetic modifying properties of therapeutic regimens.

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Publié le 01 janvier 2012
Nombre de lectures 23
Langue English
Poids de l'ouvrage 1 Mo

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Elliset al. Clinical Epigenetics2012,4:20 http://www.clinicalepigeneticsjournal.com/content/4/1/20
R E S E A R C H
Open Access
Genomescale casecontrol analysis of CD4+ Tcell DNA methylation in juvenile idiopathic arthritis reveals potential targets involved in disease 1,8* 2,3 1 4 5,6 2,3 Justine A Ellis , Jane E Munro , Raul A Chavez , Lavinia Gordon , Jihoon E Joo , Jonathan D Akikusa , 2,3 7 5 6 Roger C Allen , AnneLouise Ponsonby , Jeffrey M Craig and Richard Saffery
Abstract Background:Juvenile Idiopathic Arthritis (JIA) is a complex autoimmune rheumatic disease of largely unknown cause. Evidence is growing that epigenetic variation, particularly DNA methylation, is associated with autoimmune disease. However, nothing is currently known about the potential role of aberrant DNA methylation in JIA. As a first step to addressing this knowledge gap, we have profiled DNA methylation in purified CD4+ T cells from JIA subjects and controls. Genomic DNA was isolated from peripheral blood CD4+ T cells from 14 oligoarticular and polyarticular JIA cases with active disease, and healthy age and sexmatched controls. Genomescale methylation analysis was carried out using the Illumina Infinium HumanMethylation27 BeadChip. Methylation data at >25,000 CpGs was compared in a casecontrol study design. Results:Methylation levels were significantly different (FDR adjusted p<0.1) at 145 loci. Removal of four samples exposed to methotrexate had a striking impact on the outcome of the analysis, reducing the number of differentially methylated loci to 11. The methotrexatenaive analysis identified reduced methylation at the gene encoding the proinflammatory cytokine IL32, which was subsequently replicated using a second analysis platform and a second set of casecontrol pairs. Conclusions:Our data suggests that differential T cell DNA methylation may be a feature of JIA, and that reduced methylation atIL32is associated with this disease. Further work in larger prospective and longitudinal sample collections is required to confirm these findings, assess whether the identified differences are causal or consequential of disease, and further investigate the epigenetic modifying properties of therapeutic regimens. Keywords:Epigenetics, Juvenile idiopathic arthritis, DNA methylation, Autoimmunity, Methylome, Methotrexate
Background Juvenile Idiopathic Arthritis (JIA) is the most common autoimmune rheumatic disease of childhood. The aetiology of JIA remains largely unknown, but as for other auto immune diseases, including adult rheumatoid arthritis, the interplay between genes and environment is likely to be important [1]. A potential conduit for such interactions to alter disease risk is via epigenetic modification, defined as the structural adaptation of chromosomal regions so as to
* Correspondence: justine.ellis@mcri.edu.au 1 Genes, Environment & Complex Disease, Murdoch Childrens Research Institute, 50 Flemington Rd, Parkville, Vic, Australia 8 Department of Physiology, The University of Melbourne, Melbourne, Vic, Australia Full list of author information is available at the end of the article
register, signal or perpetuate altered activity states[2]. For example, methylation of CpG dinucleotides at gene pro moters is generally associated with a reduction in gene ex pression. Folate, through onecarbon metabolism, is an important primary methyl donor (reviewed in [3]), and maternal folate intake has been shown to alter epigenetic profile and resultant phenotypes of offspring in rodents [4]. In humans, studies of monozygotic twin pairs have demonstrated modification of epigenetic profile across the life course in response to environmental exposure (reviewed in [5]). A growing body of evidence suggests that epigenetic modification plays an important role in specifying risk associated with autoimmune disease [6]. Unequivocal
© 2012 Ellis et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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