Identification of proliferative diabetic retinopathy-associated genes on the protein-protein interaction network by using heat diffusion algorithm.

摘要: Abstract Diabetic retinopathy is a common complication of diabetes mellitus that causes pathogenic damage to the retina. Particularly, proliferative diabetic (PDR) state can cause abnormal angiogenesis in retina tissues and trigger destruction advanced stage. In clinic, symptoms during initiation progression PDR are relatively unrecognizable. Therefore, various studies have focused on pathogenesis PDR. According published literature, genetic contributions play an irreplaceable role Although many computational methods, such as shortest path- random walk with restart-based been applied screening potential factors PDR, which may provide essential supplements for previous ones, still widely needed. this study, novel method was presented infer PDR-associated genes. Different from used work employed different network algorithm, is, Laplacian heat diffusion algorithm. This algorithm protein–protein interaction reported STRING database. Three tests were performed filter most likely inferred A total 26 genes accessed using proposed method. Compared two predictions, identified novel, only one gene shared. Several genes, CSF3, COL18A1, CXCR2, CCR1, FGF23, CXCL11, IL13, related