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    Home > Active Ingredient News > Immunology News > A&R: Common features of anti-SSA/Ro60 antibody expression in autoimmune diseases

    A&R: Common features of anti-SSA/Ro60 antibody expression in autoimmune diseases

    • Last Update: 2022-08-16
    • Source: Internet
    • Author: User
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    Objective : Anti- Ro autoantibodies are one of the most frequently detected autoantibodies to extractable nuclear antigens and are mainly associated with primary Sjögren's syndrome (pSS) , systemic lupus erythematosus (SLE) and undifferentiated connective tissue disease (UCTD.


    OBJECTIVE : Anti- Ro autoantibodies are one of the most commonly detected autoantibodies to extractable nuclear antigens, and are mainly associated with primary Sjögren's syndrome ( pSS) , systemic lupus erythematosus (SLE) and undifferentiated connective tissue disease (UCT.


    Methods : Using high-throughput multi-omics data (genetic, epigenomics, transcriptomics, combined flow cytometry data, multiplex cytokines, classical serology, and clinical data) collected from the cross-sectional cohort of the PRECISESADS IMI project ), the researchers assessed the molecular profiles of 520 anti- Ro60 - positive (anti-Ro60+) and 511 anti- Ro60 - negative (anti-Ro60-) pSS , SLE and UCTD patients and 279 healthy controls (HCs) by machine learning Analysi.


    Methods Using high-throughput multi-omics data (genetic, epigenomics, transcriptomics, combined flow cytometry data, multiplex cytokines, classical serology, and clinical data) collected from the cross-sectional cohort of the PRECISESADS IMI project , the researchers assessed the molecular profiling of 520 anti - Ro60 - positive (anti-Ro60+) and 511 anti- Ro60 - negative (anti-Ro60-) pSS , SLE and UCTD patients and 279 healthy controls (HCs) by machine learnin.


    Results Selected features of RNA-Seq , DNA methylation and GWAS data allowed for a clear distinction between anti- Ro60+ and anti- Ro60- patient.


    Conclusions Anti- Ro60+ patients exhibit specific inflammatory signatures regardless of their disease, suggesting that dual therapeutic approaches targeting Ro -associated RNAs and anti- Ro60 autoantibodies should be consider.


    Foulquier,.
    , Le Dantec,.
    , Bettacchioli,.
    , Jamin,.
    , Alarcón-Riquelme, ME and Pers,.
    .
    (2022), Machine learning identifies a common signature for anti-SSA/Ro60 Antibody expression across autoimmune diseas.
    Arthritis Rheumat.
    Accepted Author Manuscri.
    https://d.
    org/11002/a.

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