DNA methylation and transcriptome signature of the IL12B gene in ankylosing spondylitis

2019 ◽  
Vol 71 ◽  
pp. 109-114 ◽  
Author(s):  
Xu Zhang ◽  
Jincheng Lu ◽  
Zhipeng Pan ◽  
Yubo Ma ◽  
Rui Liu ◽  
...  
2013 ◽  
Vol 72 (Suppl 3) ◽  
pp. A800.4-A801
Author(s):  
M. Ivanova ◽  
I. Manolova ◽  
L. Miteva ◽  
N. Stoilov ◽  
R. Stoilov ◽  
...  

2021 ◽  
pp. 1-13
Author(s):  
Yubo Ma ◽  
Dazhi Fan ◽  
Shanshan Xu ◽  
Jixiang Deng ◽  
Xing Gao ◽  
...  

2019 ◽  
Vol 102 ◽  
pp. 126-132 ◽  
Author(s):  
Patrick Coit ◽  
Prashant Kaushik ◽  
Liron Caplan ◽  
Gail S. Kerr ◽  
Jessica A. Walsh ◽  
...  

2019 ◽  
Vol 38 (8) ◽  
pp. 2161-2169 ◽  
Author(s):  
Mengya Chen ◽  
Meng Wu ◽  
Xingxing Hu ◽  
Jiajia Yang ◽  
Renfang Han ◽  
...  

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 437.3-437
Author(s):  
M. Xiao ◽  
J. Gu

Background:Most (~90%) of the ankylosing spondylitis (AS) susceptibility loci are undefined and located in non-coding regions. Epigenetic changes may alter the expression of genes involved in AS and explain part of the missing heritability. 1Objectives:To identify novel DNA methylation sites significant for AS and comprehensively understand the underlying pathological mechanism.Methods:Genome-wide DNA methylation of blood samples from 30 AS patients and 15 health controls was measured on the Infinium® MethylationEPIC BeadChip microarray. Methylome data were analyzed with ChAMP package in R.Results:The epigenome-wide association analysis identified 4,794 differentially methylated positions (DMPs) (FDR <0.05 and delta β >0.05), including 3,294 (68.7%) hypermethylated and 1,500 (31.3%) hypomethylated positions in AS patients (Figure 1A). The identified DMPs allowed clear distinction of most AS cases from controls in the PCA (Figure 1B) and unsupervised hierarchical clustering (Figure 1C). KEGG pathway analysis of AS associated DMPs enriched in T cell receptor signaling pathway, Th1 and Th2 cell differentiation. Besides, a total of 1,048 differentially variable positions (DVPs) were identified, the majority of which (974, 92.9%) were hypervariable in AS, while only 74 DVPs were hypovariable. The increased DNA methylation variability in disease were in line with the previous observation in other diseases, indicating the intrinsic heterogeneity in AS patients, which might be influenced by diverse factors, such as disease activity and treatment.Figure 1.Conclusion:Peripheral blood mononuclear cells from AS patients display aberrant DNA methylome and increased DNA methylation variability. The results enhanced our understanding of the important role of DNA methylation in pathology of AS and offered the possibility of identifying new targets for intervention.References:[1]Whyte JM, Ellis JJ, Brown MA, et al. Best practices in DNA methylation: lessons from inflammatory bowel disease, psoriasis and ankylosing spondylitis. Arthritis Res Ther 2019; 21:133.Acknowledgements:We appreciate all the staff members of the department of rheumatology of the Third Affiliated Hospital of Sun Yat-sen University for assistance and support in the patient’s recruitment and sample collection.Disclosure of Interests:None declared


2013 ◽  
Vol 4 ◽  
Author(s):  
Popa Olivia Mihaela ◽  
Kriegova Eva ◽  
Popa Luis ◽  
Cherciu Marius ◽  
Dutescu Monica ◽  
...  

Rheumatology ◽  
2012 ◽  
Vol 52 (2) ◽  
pp. 261-266 ◽  
Author(s):  
D. Jadon ◽  
W. Tillett ◽  
D. Wallis ◽  
C. Cavill ◽  
J. Bowes ◽  
...  

2022 ◽  
Vol 24 (1) ◽  
Author(s):  
Min Xiao ◽  
Xuqi Zheng ◽  
Xiaomin Li ◽  
Xinyu Wu ◽  
Yefei Huang ◽  
...  

Abstract Background The currently known risk loci could explain a small proportion of the heritability of ankylosing spondylitis (AS). Epigenetics might account for the missing heritability. We aimed to seek more novel AS-associated DNA methylation alterations and delineate the regulatory effect of DNA methylation and gene expression with integrated analysis of methylome and transcriptome. Methods Epigenome-wide DNA methylation and mRNA expression were profiled in peripheral blood mononuclear cells (PBMCs) from 45 individuals (AS: health controls (HCs) = 30:15) with high-throughput array. The methylome was validated in an independent cohort (AS: HCs = 12:12). Pearson correlation analysis and causal inference tests (CIT) were conducted to determine potentially causative regulatory effects of methylation on mRNA expression. Results A total of 4794 differentially methylated positions (DMPs) were identified associated with AS, 2526 DMPs of which were validated in an independent cohort. Both cohorts highlighted T cell receptor (TCR) signaling and Th17 differentiation pathways. Besides, AS patients manifested increased DNA methylation variability. The methylation levels of 158 DMPs were correlated with the mRNA expression levels of 112 genes, which formed interconnected network concentrated on Th17 cell differentiation and TCR signaling pathway (LCK, FYN, CD3G, TCF7, ZAP70, CXCL12, and PLCG1). We also identified several cis-acting DNA methylation and gene expression changes associated with AS risk, which might regulate the cellular mechanisms underlying AS. Conclusions Our studies outlined the landscapes of epi-signatures of AS and several methylation-gene expression-AS regulatory axis and highlighted the Th17 cell differentiation and TCR signaling pathway, which might provide innovative molecular targets for therapeutic interventions for AS.


2020 ◽  
Author(s):  
Yubo Ma ◽  
Dazhi Fan ◽  
Shanshan Xu ◽  
Jixiang Deng ◽  
Xing Gao ◽  
...  

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