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      DNA Methylation-Based Interferon Scores Associate With Sub-Phenotypes in Primary Sjögren’s Syndrome

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          Abstract

          Primary Sjögren’s syndrome (pSS) is an autoimmune inflammatory disease with profound clinical heterogeneity, where excessive activation of the type I interferon (IFN) system is considered one of the key mechanisms in disease pathogenesis. Here we present a DNA methylation-based IFN system activation score (DNAm IFN score) and investigate its potential associations with sub-phenotypes of pSS. The study comprised 100 Swedish patients with pSS and 587 Swedish controls. For replication, 48 patients with pSS from Stavanger, Norway, were included. IFN scores were calculated from DNA methylation levels at the IFN-induced genes RSAD2, IFIT1 and IFI44L. A high DNAm IFN score, defined as > mean controls +2SD controls (IFN score >4.4), was observed in 59% of pSS patients and in 4% of controls (p=1.3x10 -35). Patients with a high DNAm IFN score were on average seven years younger at symptom onset (p=0.017) and at diagnosis (p=3x10 -3). The DNAm IFN score levels were significantly higher in pSS positive for both SSA and SSB antibodies compared to SSA/SSB negative patients (p discovery=1.9x10 -8, p replication=7.8x10 -4). In patients positive for both SSA subtypes Ro52 and Ro60, an increased score was identified compared to single positive patients (p=0.022). Analyzing the discovery and replication cohorts together, elevated DNAm IFN scores were observed in pSS with hypergammaglobulinemia (p=2x10 -8) and low C4 (p=1.5x10 -3) compared to patients without these manifestations. Patients < 70 years with ongoing lymphoma at DNA sampling or lymphoma at follow-up (n=7), presented an increased DNAm IFN score compared to pSS without lymphoma (p=0.025). In conclusion, the DNAm-based IFN score is a promising alternative to mRNA-based scores for identification of patients with activation of the IFN system and may be applied for patient stratification guiding treatment decisions, monitoring and inclusion in clinical trials.

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          Most cited references43

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          Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays.

          The recently released Infinium HumanMethylation450 array (the '450k' array) provides a high-throughput assay to quantify DNA methylation (DNAm) at ∼450 000 loci across a range of genomic features. Although less comprehensive than high-throughput sequencing-based techniques, this product is more cost-effective and promises to be the most widely used DNAm high-throughput measurement technology over the next several years. Here we describe a suite of computational tools that incorporate state-of-the-art statistical techniques for the analysis of DNAm data. The software is structured to easily adapt to future versions of the technology. We include methods for preprocessing, quality assessment and detection of differentially methylated regions from the kilobase to the megabase scale. We show how our software provides a powerful and flexible development platform for future methods. We also illustrate how our methods empower the technology to make discoveries previously thought to be possible only with sequencing-based methods. http://bioconductor.org/packages/release/bioc/html/minfi.html. khansen@jhsph.edu; rafa@jimmy.harvard.edu Supplementary data are available at Bioinformatics online.
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            DNA methylation arrays as surrogate measures of cell mixture distribution

            Background There has been a long-standing need in biomedical research for a method that quantifies the normally mixed composition of leukocytes beyond what is possible by simple histological or flow cytometric assessments. The latter is restricted by the labile nature of protein epitopes, requirements for cell processing, and timely cell analysis. In a diverse array of diseases and following numerous immune-toxic exposures, leukocyte composition will critically inform the underlying immuno-biology to most chronic medical conditions. Emerging research demonstrates that DNA methylation is responsible for cellular differentiation, and when measured in whole peripheral blood, serves to distinguish cancer cases from controls. Results Here we present a method, similar to regression calibration, for inferring changes in the distribution of white blood cells between different subpopulations (e.g. cases and controls) using DNA methylation signatures, in combination with a previously obtained external validation set consisting of signatures from purified leukocyte samples. We validate the fundamental idea in a cell mixture reconstruction experiment, then demonstrate our method on DNA methylation data sets from several studies, including data from a Head and Neck Squamous Cell Carcinoma (HNSCC) study and an ovarian cancer study. Our method produces results consistent with prior biological findings, thereby validating the approach. Conclusions Our method, in combination with an appropriate external validation set, promises new opportunities for large-scale immunological studies of both disease states and noxious exposures.
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              Type I interferons (alpha/beta) in immunity and autoimmunity.

              The significance of type I interferons (IFN-alpha/beta) in biology and medicine renders research on their activities continuously relevant to our understanding of normal and abnormal (auto) immune responses. This relevance is bolstered by discoveries that unambiguously establish IFN-alpha/beta, among the multitude of cytokines, as dominant in defining qualitative and quantitative characteristics of innate and adaptive immune processes. Recent advances elucidating the biology of these key cytokines include better definition of their complex signaling pathways, determination of their importance in modifying the effects of other cytokines, the role of Toll-like receptors in their induction, their major cellular producers, and their broad and diverse impact on both cellular and humoral immune responses. Consequently, the role of IFN-alpha/beta in the pathogenesis of autoimmunity remains at the forefront of scientific inquiry and has begun to illuminate the mechanisms by which these molecules promote or inhibit systemic and organ-specific autoimmune diseases.
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                Author and article information

                Contributors
                Journal
                Front Immunol
                Front Immunol
                Front. Immunol.
                Frontiers in Immunology
                Frontiers Media S.A.
                1664-3224
                16 July 2021
                2021
                : 12
                : 702037
                Affiliations
                [1] 1 Section of Rheumatology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University , Uppsala, Sweden
                [2] 2 Clinical Immunology Unit, Department of Internal Medicine, Stavanger University Hospital , Stavanger, Norway
                [3] 3 Molecular Medicine and Science for Life Laboratory, Department of Medical Sciences, Uppsala University , Uppsala, Sweden
                [4] 4 Rheumatology Unit, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital , Stockholm, Sweden
                Author notes

                Edited by: Alan Baer, Johns Hopkins University, United States

                Reviewed by: Wan-Fai Ng, Newcastle University, United Kingdom; Clio Mavragani, National and Kapodistrian University of Athens, Greece; Marjan A. Versnel, Erasmus Medical Center, Netherlands; Nancy J. Olsen, Penn State Milton S. Hershey Medical Center, United States

                *Correspondence: Juliana Imgenberg-Kreuz, Juliana.Imgenberg@ 123456medsci.uu.se

                †ORCID: Juliana Imgenberg-Kreuz, orcid.org/0000-0002-7230-8990; Johanna K. Sandling, orcid.org/0000-0003-1382-2321; Lars Rönnblom, orcid.org/0000-0001-9403-6503; Gunnel Nordmark, orcid.org/0000-0002-3829-7431

                This article was submitted to Autoimmune and Autoinflammatory Disorders, a section of the journal Frontiers in Immunology

                Article
                10.3389/fimmu.2021.702037
                8322981
                34335613
                f0c5d0b4-c690-4197-a7e5-d7b4cad0f89e
                Copyright © 2021 Imgenberg-Kreuz, Sandling, Norheim, Johnsen, Omdal, Syvänen, Svenungsson, Rönnblom, Eloranta and Nordmark

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 28 April 2021
                : 28 June 2021
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 43, Pages: 13, Words: 6733
                Categories
                Immunology
                Original Research

                Immunology
                primary sjögren’s syndrome,interferon,dna methylation,autoimmunity,interferonopathies,precision medicine

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