AB0166 Sex-Specific Gene Expression Differences in Oligoarticular Juvenile Idiopathic Arthritis

BackgroundJuvenile idiopathic arthritis (JIA) is a paediatric autoimmune disease (AD) with a female preponderance, though this differs by subtype. Whether this sex bias is reflective of differing disease pathogenesis between the sexes is unknown. Gene expression signatures can be biologically and cl...

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Veröffentlicht in:Annals of the rheumatic diseases 2016-06, Vol.75 (Suppl 2), p.953-953
Hauptverfasser: Chiaroni-Clarke, R.C., Chavez, R.A., Munro, J.E., Allen, R.C., Akikusa, J.D., Oshlack, A., Maksimovic, J., Ponsonby, A.-L., Saffery, R., Ellis, J.A.
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Sprache:eng
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Zusammenfassung:BackgroundJuvenile idiopathic arthritis (JIA) is a paediatric autoimmune disease (AD) with a female preponderance, though this differs by subtype. Whether this sex bias is reflective of differing disease pathogenesis between the sexes is unknown. Gene expression signatures can be biologically and clinically informative, but few expression studies have been performed in JIA. Though gene expression is recognised as sexually dimorphic in many states, its role in JIA sex bias has not been considered. In response to infection females produce more antibodies than males, which could increase natural autoantibody production and the risk of developing AD. Gene expression differences between the sexes may reflect this. The reduced heterogeneity afforded by sex-stratified transcriptome-wide analysis may provide insight into how sex influences disease pathogenesis in JIA.ObjectivesWe aimed to identify sex-specific differences in patients with oligoarticular JIA versus healthy controls through RNA-seq analysis on CD4+ T cells.MethodsSix male and six female oligoarticular JIA cases, with no prior exposure to disease-modifying anti-rheumatic drugs, were age and sex-matched to healthy controls. CD4+ T cells were selected as existing data links T cell gene networks to JIA. RNA was extracted from CD4+ T cells using the Qiagen miRNeasy extraction kit. Sequencing library preparation was performed using the Illumina TruSeq Stranded Total RNA LT kit. One female sample did not pass quality control and was not sequenced. Sequencing was performed using 75bp paired-end reads to a depth of ∼20 million reads on the Illumina NextSeq. Quality trimmed reads were mapped to the genome using the STAR aligner. Read counts across exons and genes were summarised using featureCounts. Normalised read counts were used for differential gene expression analysis with edgeR. GOseq was used for gene ontology analysis. Males and females were analysed separately.ResultsNo sex-specific differentially expressed (DE) genes reached FDR adjusted p
ISSN:0003-4967
1468-2060
DOI:10.1136/annrheumdis-2016-eular.3049