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

      research 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)”
      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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