1st International and 10th National Iranian Conference on Bioinformatics
Investigation of common genes in different stages of non-alcoholic fatty liver disease with microarray datasets analysis
Paper ID : 1053-ICB10
Authors:
Masoud Arabfard1, Yazdan Hasani Nourian1, Raheleh Halabian2, B. Fatemeh Nobakht M. Gh. *1
1Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
2Applied Microbiology Research Center, Systems biology and poisonings institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
Abstract:
Background: Non-alcoholic fatty liver disease (NAFLD) is the most common type of chronic liver disease worldwide and is a risk factor for developing cirrhosis or hepatocellular carcinoma (HCC) if untreated (1). NAFLD affects around 90% and 25% of obese patients and people worldwide, respectively (2). Although lots of efforts have been performed by experts in order to find the underlying mechanisms of NAFLD, it remains a challenge to recognize them. The aim of this study is to distinguish common gene signatures and pathways in the human liver during NAFLD progression through the systems biology method.
Method: In this study, the three microarray datasets, GSE48452, GSE63067, and GSE89632, were selected from the NCBI GEO database to explore differentially expressed genes (DEGs) among healthy controls, simple steatosis, and non-alcoholic steatohepatitis (NASH) patients (3-5). Furthermore, protein-protein interaction (PPI) networks and pathway enrichment analysis were used to detect common genes and biological pathways in different stages of NAFLD.
Results: The current was included 47 healthy subjects, 36 patients with simple steatosis and, 46 NASH patients. Common high degree genes among all three sets were CHI3L1, GFBP2, NRG1, PEG10, and FADS2. The top five genes in the hepatic PPI networks of three datasets were STAT3, JUN, CANX, FN1, and MYC. Signal transduction, immune response, and anti-apoptosis were the most important biological pathways between healthy vs. NASH, while cell communication, signal transduction, and immune response were the three top biological pathways between healthy vs. simple steatosis. Also, the most eminent biological pathways between NASH vs. simple steatosis were metabolism and energy pathways.
Conclusion: The present study represented the unique and shared key genes and pathways between different stages of NAFLD, which may facilitate the understanding of NAFLD mechanism and identify potential therapeutic targets in this disease.
Keywords:
Microarray, Systems biology, Protein-protein interaction network, NAFLD, NASH
Status : Paper Accepted (Oral Presentation)