A Novel Predictive Model for the Recurrence of Pediatric Alopecia Areata by Bioinformatics Analysis and a Single-Center Prospective Study

    June 2023 in “ Frontiers in Medicine
    Yuanquan Zheng, Yingli Nie, Jingjing Lu, Hong Yi, Guili Fu
    TLDR A new model uses specific blood markers to predict if children's hair loss will return.
    The study developed a predictive model using serum levels of BMP2, CD8A, PRF1, and XCL1 as non-invasive biomarkers to accurately forecast the recurrence of pediatric alopecia areata (AA). This model offers a promising tool for clinicians to predict AA recurrence, potentially improving patient management and outcomes.
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