Identification of Shared Gene Signatures in Different Stages of Nonalcoholic Fatty Liver Disease Using Integrated Microarray Datasets

Background: Nonalcoholic fatty liver disease (NAFLD) is the most common type of chronic worldwide. Left untreated, it can be a risk factor for developing cirrhosis or hepatocellular carcinoma (HCC). Although experts have made many efforts to find underlying mechanisms NAFLD, they remain mystery. Objectives: This study aimed distinguish gene signatures and pathways in human during NAFLD progression through systems biology. Methods: In this study, researchers selected three microarray datasets, GSE48452, GSE63067, GSE89632, from NCBI GEO database explore differentially expressed genes (DEGs) among healthy controls, simple steatosis, nonalcoholic steatohepatitis (NASH) patients. Furthermore, protein-protein interaction (PPI) networks pathway enrichment analyses were used detect biological different stages NAFLD. Results: The current included 45 participants, 36 steatosis patients, 46 NASH Common Chi3L1, ICAM1, MT1A, MT1H, ABCB11, ACOT1, CYP2C9, HSP90B1, CPB2, which are involved inflammation oxidative stress pathways. Conclusions: present investigated shared vital between may facilitate understanding identifying potential therapeutic targets disease.