Identification of Ferroptosis-Related Biomarkers in Alopecia Areata Through Machine Learning

    February 2024 in “ Scientific reports ”
    Wei Xu, Dongfan Wei, Xiuzu Song
    Studysummary This study identified four ferroptosis-related genes, SLC40A1, LCN2, CREB5, and SLC7A11, as potential diagnostic markers for alopecia areata, revealing reduced expression in affected patients compared to controls, with a predictive model showing high accuracy in differentiating the condition.
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    Research cited in this study 9

    1. Janus Kinase Inhibitors for Alopecia Areata Journal of the American Academy of Dermatology · 2023
    2. Functional Interrogation of Lymphocyte Subsets in Alopecia Areata Using Single-Cell RNA Sequencing Proceedings of the National Academy of Sciences · 2023
    3. Schizochytrium Sp. Extracted Lipids Prevent Alopecia by Enhancing Antioxidation and Inhibiting Ferroptosis of Dermal Papilla Cells Antioxidants · 2023
    4. Induction of T Cell Exhaustion by JAK1/3 Inhibition in the Treatment of Alopecia Areata Frontiers in immunology · 2022
    5. Assessing the Role of Stressful Life Events in the Induction and Recurrence of Alopecia Areata: A Case-Control Study Journal of the American Academy of Dermatology · 2022
    6. Serum Nuclear Factor E-2-Related Factor 2 in Female Pattern Hair Loss Journal of Cosmetic Dermatology · 2022
    7. Alopecia Areata: An Update on Etiopathogenesis, Diagnosis, and Management Clinical Reviews in Allergy & Immunology · 2021
    8. Selective Inhibition of JAK3 Signaling Is Sufficient to Reverse Alopecia Areata JCI insight · 2021
    9. Oral Ruxolitinib Induces Hair Regrowth in Patients with Moderate-to-Severe Alopecia Areata JCI insight · 2016

    Related research 1

    1. Serum Zinc Concentration in Patients With Alopecia Areata Acta dermato-venereologica (Print) · 2023