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

    December 2022 in “ Research Square (Research Square)
    Qitao Chen, Qiuwei Tao, Yuqian Li, Guanghui Shao, Jing Zhu, Qilin Zhu, Zhongming Li, Xuewen Du
    The study investigates gene expression in hair follicles affected by chronic discoid lupus erythematosus (CDLE) using bioinformatics methods. By analyzing data from 4 healthy and 7 CDLE-affected hair follicles, and validating with 13 healthy and 47 CDLE-affected scalp samples, the researchers identified key genes through differential expression and WGCNA. These genes, associated with type I interferon response and RIG-1 and IL-17 signaling pathways, were significantly upregulated in both hair follicles and skin tissues. The study also suggests the involvement of follicular helper T cells (Tfhs) in the disease process.
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