Ruifeng Wang1, Xiaobing Wang2, Liwei Zhuang1. 1. Gastroenterology and Hepatology Department, the Forth Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang province, China. 2. Gastroenterology and Hepatology Department, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang province, China.
Abstract
UNLABELLED: Background. This study aims to identify key genes and pathways involved in non-alcoholic fatty liver disease (NAFLD). MATERIAL AND METHODS: The dataset GSE48452 was downloaded from Gene Expression Omnibus, including 14 control liver samples, 27 healthy obese samples, 14 steatosis samples and 18 nonalcoholic steatohepatitis (NASH) samples. Differentially expressed genes (DEGs) between controls and other samples were screened through LIMMA package. Then pathway enrichment analysis for DEGs was performed by using DAVID, and alterations of enriched pathways were determined. Furthermore, protein-protein interaction (PPI) networks were constructed based on the PPI information from HPRD database, and then, networks were visualized through Cytoscape. Additionally, interactions between microRNAs (miRNAs) and pathways were analyzed via Fisher's exact test. RESULTS: A total of 505, 814 and 783 DEGs were identified for healthy obese, steatosis and NASH samples in comparison with controls, respectively. DEGs were enriched in ribosome (RPL36A, RPL14, etc.), ubiquitin mediated proteolysis (UBE2A, UBA7, etc.), focal adhesion (PRKCA, EGFR, CDC42, VEGFA, etc.), Fc?R-mediated phagocytosis (PRKCA, CDC42, etc.), and so on. The 27 enriched pathways gradually deviated from baseline (namely, controls) along with the changes of obese-steatosis-NASH. In PPI networks, PRKCA interacted with EGFR and CDC42. Besides, hsa-miR-330-3p and hsa-miR-126 modulated focal adhesion through targeting VEGFA and CDC42. CONCLUSIONS: The identified DEGs (PRKCA, EGFR, CDC42, VEGFA), disturbed pathways (ribosome, ubiquitin mediated proteolysis, focal adhesion, Fc?R-mediated phagocytosis, etc.) and miRNAs (hsa-miR-330-3p, hsa-miR-126, etc.) might be closely related to NAFLD progression. These results might contribute to understanding NAFLD mechanism, conducting experimental researches, and designing clinical practices.
UNLABELLED: Background. This study aims to identify key genes and pathways involved in non-alcoholic fatty liver disease (NAFLD). MATERIAL AND METHODS: The dataset GSE48452 was downloaded from Gene Expression Omnibus, including 14 control liver samples, 27 healthy obese samples, 14 steatosis samples and 18 nonalcoholic steatohepatitis (NASH) samples. Differentially expressed genes (DEGs) between controls and other samples were screened through LIMMA package. Then pathway enrichment analysis for DEGs was performed by using DAVID, and alterations of enriched pathways were determined. Furthermore, protein-protein interaction (PPI) networks were constructed based on the PPI information from HPRD database, and then, networks were visualized through Cytoscape. Additionally, interactions between microRNAs (miRNAs) and pathways were analyzed via Fisher's exact test. RESULTS: A total of 505, 814 and 783 DEGs were identified for healthy obese, steatosis and NASH samples in comparison with controls, respectively. DEGs were enriched in ribosome (RPL36A, RPL14, etc.), ubiquitin mediated proteolysis (UBE2A, UBA7, etc.), focal adhesion (PRKCA, EGFR, CDC42, VEGFA, etc.), Fc?R-mediated phagocytosis (PRKCA, CDC42, etc.), and so on. The 27 enriched pathways gradually deviated from baseline (namely, controls) along with the changes of obese-steatosis-NASH. In PPI networks, PRKCA interacted with EGFR and CDC42. Besides, hsa-miR-330-3p and hsa-miR-126 modulated focal adhesion through targeting VEGFA and CDC42. CONCLUSIONS: The identified DEGs (PRKCA, EGFR, CDC42, VEGFA), disturbed pathways (ribosome, ubiquitin mediated proteolysis, focal adhesion, Fc?R-mediated phagocytosis, etc.) and miRNAs (hsa-miR-330-3p, hsa-miR-126, etc.) might be closely related to NAFLD progression. These results might contribute to understanding NAFLD mechanism, conducting experimental researches, and designing clinical practices.
Authors: Komal Ramani; Aaron E Robinson; Joshua Berlind; Wei Fan; Aushinie Abeynayake; Aleksandra Binek; Lucía Barbier-Torres; Mazen Noureddin; Nicholas N Nissen; Zehra Yildirim; Ebru Erbay; José M Mato; Jennifer E Van Eyk; Shelly C Lu Journal: Hepatology Date: 2021-12-18 Impact factor: 17.425
Authors: Prahlad K Rao; Kate Merath; Eugene Drigalenko; Avinash Y L Jadhav; Richard A Komorowski; Matthew I Goldblatt; Anand Rohatgi; Mark A Sarzynski; Samer Gawrieh; Michael Olivier Journal: Clin Proteomics Date: 2018-03-06 Impact factor: 3.988