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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/16442


    Title: Machine learning reveals UHRF-X as a biomarker for systemic lupus erythematosus and an antagonistic protein against UHRF1 E3 ligase
    Authors: Chuang, HC;Tan, TH
    Contributors: Immunology Research Center
    Abstract: Inflammatory T cells contribute to the pathogenesis of the autoimmune diseases such as systemic lupus erythematosus (SLE). Analysis of the T-cell transcriptomics data of two independent SLE patient cohorts by three machine learning models revealed UHRF-X as a novel SLE biomarker. T-cell-specific UHRF-X transgenic mice manifested the induction of IL-17A and autoimmune inflammation. Mechanistically, UHRF-X prevented UHRF1-induced Lys48-linked ubiquitination and degradation of MAP4K3 (GLK), which is a kinase known to induce IL-17A. Consistently, IL-17A induction and autoimmune phenotypes of UHRF-X transgenic mice were obliterated by MAP4K3 knockout. Furthermore, UHRF-X protein was indeed overexpressed in peripheral blood T cells of SLE patients. Collectively, UHRF-X overexpression in T cells inhibits the E3 ligase function of UHRF1 and induces IL-17A-mediated autoimmune responses. This report unveils a novel gene that can block UHRF1 function, leading to autoimmune disease.
    Date: 2024-05-01
    Relation: Journal of Immunology. 2024 May 01;212(1, Suppl.):Meeting Abstract 020-5291.
    Link to: http://dx.doi.org/10.4049/jimmunol.212.supp.0020.5291
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:001369280500023
    Appears in Collections:[莊懷佳] 會議論文/會議摘要
    [譚澤華] 會議論文/會議摘要

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