Epigenome-Wide Comparative Study Reveals Key Differences Between Mixed Connective Tissue Disease and Related Systemic Autoimmune Diseases
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Carnero Montoro, Elena; Guillermo Barturen, Guillermo; Povedano, Elena; Kerick, Martin; Martínez-Bueno, Manuel; PRECISESADS Clinical Consortium; Ballestar, Esteban; Martin, Javier; Teruel, María; Alarcón Riquelme, Marta EugeniaEditorial
Frontiers Media
Materia
mixed connective tissue disease systemic autoimmunity genome-wide DNA methylation
Date
2019-08-07Referencia bibliográfica
Carnero Montoro, E. et. al. Front. Immunol. 10:1880. [https://doi.org/10.3389/fimmu.2019.01880]
Sponsorship
Innovative Medicines Initiative Joint Undertaking under the grant agreement no. 115565; European Union’s Seventh Framework Program (FP7/2007-2013) and the EFPIA companies’; Post-doctoral Training Subprogramme Juan de la Cierva-Ministry of Economy and Competitiveness (FJCI_2014_20652)Abstract
Mixed Connective Tissue Disease (MCTD) is a rare complex systemic autoimmune
disease (SAD) characterized by the presence of increased levels of anti-U1
ribonucleoprotein autoantibodies and signs and symptoms that resemble other SADs
such as systemic sclerosis (SSc), rheumatoid arthritis (RA), and systemic lupus
erythematosus (SLE). Due to its low prevalence, this disease has been very poorly studied
at the molecular level. We performed for the first time an epigenome-wide association
study interrogating DNA methylation data obtained with the Infinium MethylationEPIC
array from whole blood samples in 31 patients diagnosed with MCTD and 255 healthy
subjects. We observed a pervasive hypomethylation involving 170 genes enriched for
immune-related function such as those involved in type I interferon signaling pathways or
in negative regulation of viral genome replication. We mostly identified epigenetic signals
at genes previously implicated in other SADs, for example MX1, PARP9, DDX60, or
IFI44L, for which we also observed that MCTD patients exhibit higher DNA methylation
variability compared with controls, suggesting that these sites might be involved
in plastic immune responses that are relevant to the disease. Through methylation
quantitative trait locus (meQTL) analysis we identified widespread local genetic effects
influencing DNA methylation variability at MCTD-associated sites. Interestingly, for IRF7,
IFI44 genes, and the HLA region we have evidence that they could be exerting a
genetic risk on MCTD mediated through DNA methylation changes. Comparison of
MCTD-associated epigenome with patients diagnosed with SLE, or Sjögren’s Syndrome,
reveals a common interferon-related epigenetic signature, however we find substantial
epigenetic differences when compared with patients diagnosed with rheumatoid arthritis
and systemic sclerosis. Furthermore, we show thatMCTD-associated CpGs are potential epigenetic biomarkers with high diagnostic value. Our study serves to reveal new
genes and pathways involved in MCTD, to illustrate the important role of epigenetic
modifications in MCTD pathology, in mediating the interaction between different genetic
and environmental MCTD risk factors, and as potential biomarkers of SADs.