Fig. 1
From: Machine learning identifies KRT8 dysregulation and endothelial remodeling in Moyamoya disease
A total of 37 MMD and 20 HC participants were included in this study and divided into three groups: Training set (21 MMD, 11 HC), Validation set (6 MMD, 6 HC), and Self-test data (10 MMD, 3 HC). The gene data from vascular samples of the participants were analyzed for differential expression, immune infiltration, WGCNA, etc. Through machine learning, KRT8 was selected as a candidate gene for in vitro experiments. Tube formation assay was conducted using a KRT8 overexpression MMD cell model. The results suggest that overexpression of KRT8 in MMD promotes the migration and angiogenic function of endothelial cells, thereby driving the pathological development of MMD.
