Microbial Dysbiosis and Its Diagnostic Potential in Androgenetic Alopecia: Insights from Multi-Kingdom Sequencing and Machine Learning

    May 2025 in “ mSystems
    Xiaochen Wang, Fengjuan Li, Yangyang Sun, Fan Meng, Yaolin Song, Xiaoquan Su
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    TLDR Microbial imbalances on the scalp can help diagnose and manage hair loss early.
    This study investigates the connection between androgenetic alopecia (AGA) and scalp microbiome dysbiosis, analyzing bacterial and fungal communities in 89 individuals. It reveals that microbial imbalances affect the entire scalp, not just hair loss areas, and disrupt age-related dynamics. Researchers developed the Microbial Index of Scalp Health (MiSCH) using machine learning, which can detect AGA, assess its severity, and identify high-risk individuals before visible symptoms appear. This approach offers potential for early diagnosis and personalized treatment, marking a significant advancement in managing hair loss. The MiSCH model accurately classifies AGA stages and correlates strongly with clinical evaluations, highlighting the potential of microbiome-based diagnostics in AGA management.
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