Transcriptional Profiling and Protein-Protein Interaction Network Analysis Identify Potential Kernel

来源 :德国(罗腾堡)第48届国际中医药大会(中国中医部分) | 被引量 : 0次 | 上传用户:yuanshidemeng36
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  Nonalcoholic fatty liver disease (NAFLD) is one of the diseases in the speetrum of metabolic syndrome and is strongly associated with obesity and type-2 diabetes.It is also highly correlated with cirrhosis,cardiovascular disease,primary liver cancer and extrahepatic cancers.However,independent of metabolic syndrome and traditional risk factors,advanced NAFLD develops through mechanisms which remain unclear.In this study,differences in expressed genes were investigated between mild and advanced NAFLD using the random variance model t-test in the R package.We constructed a mild and an advanced NAFLD related protein-protein interaction (PPI) network.Once constructed,the 12 potential kernel genes were selected from the network by topological structure analysis.Using qPCR validation,we indentified 8 kernel genes with significant difference between mild and advanced NAFLD,such as EFHD1,GALK1,GCDH,MT1X,CACNA2D1,EPHA3,GINS1 and GJA1,and suggested that they might play important roles in the initiation and progression of advanced NAFLD.The ROC-curve analysis also showed that these kernel genes can be used to distinguish between NAFLD patients with mild and advanced stage disease.On the other hand,unlike the healthy controls,EFHD1,GALK1,GCDH and SORL1 were co-expressed in the advanced and mild NAFLD groups.The high AUC values (>0.900) suggested these genes might serve as important biomarkers for judging progression and prognosis in NAFLD patients.
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