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ABSTRACT: Background
Alopecia areata (AA) is an autoimmune disease typified by nonscarring hair loss. It manifests as a heterogeneous disorder with diverse clinical presentations and variable treatment responses, underscoring the significance of identifying novel biomarkers for precision management.Objective
This study aims to explore the relationship between metabolic reprogramming-related genes (MRRGs) and the risk of developing AA.Methods
MRRGs were identified through the GeneCards database and existing literature. Genetic instruments were obtained from the eQTLGen database, and AA-related data were retrieved from the OpenGWAS database. The TwoSampleMR R package was applied for statistical analysis. Additionally, RT-qPCR and immunofluorescence assays were performed to vali
SUBMITTER: Hu L
PROVIDER: S-EPMC12685797 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature