An In Silico Approach to the Identification of Potential Proteomic and Genomic Diagnostic Biomarkers for Primary Cicatricial Alopecia

    October 2021 in “ Experimental Dermatology ”
    Thandeka N. Sikhakhane, Henry A. Adeola, Nonhlanhla P. Khumalo
    TLDR Certain genes and proteins may help diagnose and treat primary cicatricial alopecia.
    The study utilized an in silico approach to identify potential proteomic and genomic biomarkers for primary cicatricial alopecia (PCA), a condition with unclear pathogenesis. By analyzing gene and protein interactions, the research highlighted the involvement of the major histocompatibility complex (MHC) in lichen plano-pilaris (LPP) and frontal fibrosing alopecia (FFA), and the roles of matrix metalloproteinases (MMPs) in central centrifugal alopecia (CCCA) and LPP. The study found strong interactions among genes and proteins, suggesting their biological relevance in PCA pathogenesis. These findings could guide future research into drug targets for PCA treatment, although the clinical application of proteomics and genomics in dermatology was still emerging at the time.
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