Identification of Biomarkers in Affected Hair Follicles from Chronic Discoid Lupus Erythematosus by Weighted Gene Co-Expression Network Analysis

    October 2022 in “ Research Square (Research Square) ”
    Qitao Chen, Qiuwei Tao, Yuqian Li, Guanghui Shao, Jing Zhu, Qilin Zhu, Zhongming Li, Xuewen Du
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    TLDR Key genes linked to immune response are highly active in lupus-affected hair follicles.
    The study analyzed gene expression data from hair follicles affected by chronic discoid lupus erythematosus (CDLE) using bioinformatics methods. It identified key genes through differential gene expression analysis and weighted gene co-expression network analysis (WGCNA). The findings were validated with additional data from skin samples. The study found that type I interferon response-related genes, activated by the RIG-1 and IL-17 signaling pathways, were significantly up-regulated in CDLE-affected hair follicles and skin tissues. The involvement of follicular helper T cells (Tfhs) was also suggested in the disease process.
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