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 explored an in silico approach to identify potential proteomic and genomic biomarkers for primary cicatricial alopecia (PCA). It highlighted the need for more precise diagnostic tools beyond histopathological examination. The research identified genes and proteins associated with PCA subtypes, revealing significant interactions, particularly involving the major histocompatibility complex (MHC), matrix metalloproteinases (MMPs), and inflammatory mediators. These findings suggested potential pathways for therapeutic targeting. The study emphasized the potential of proteomics and genomics in understanding PCA, especially in resource-limited settings, and proposed leveraging bioinformatics for drug testing in cicatricial alopecia models.
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