Protein interaction mapping interpretation of none alcoholic fatty liver disease model of rats after fat diet feeding

Hamed Abdollahi; Mona Zamanian Azodi; Behzad Hatami

Protein interaction mapping interpretation of none alcoholic fatty liver disease model of rats after fat diet feeding

Gastroenterol Hepatol Bed Bench. 2017 Winter;10(Suppl1):S146-S153.

Authors

Hamed Abdollahi¹, Mona Zamanian Azodi², Behzad Hatami³

Affiliations

¹ Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
² Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
³ Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

PMID: 29511485
PMCID: PMC5838194

Abstract

Aim: This study investigates the effect of fat diet on gene expression profile in rat liver via protein-protein interaction mapping analysis.

Background: Nonalcoholic fatty liver disease (NAFLD) is a prevalent condition of liver in the world. This progressive metabolic disease is representative with fat accumulation in the patients' liver that can led to advance stages, namely, cirrhosis and eventually cancer.

Methods: Differentially expressed genes of NAFLD rat liver after 2, 4 and 6 weeks fat diet feeding were analyzed via GEO2R and protein-protein interaction network by Cytoscape v3.6.0. and the related plug-ins. The important genes were assigned based on degree and betweenness centrality analysis and enriched using ClueGO+CluePedia Plug-in.

Results: GAPDH, PRDM10, TP53, AKT1, INS, ALB, SRC, MAPK1, ACLY, ACACA, DECR1, ACACB, MBOAT4, TNF, EHHADH and JUN genes were introduced as key genes related to the fat diet fed NAFLD rats. Fatty acid biosynthesis and four other terms were introduced as the main related ones to the essential genes.

Conclusion: The introduced critical genes and the related terms may describe NAFLD molecular condition and its progression to the other severe metabolic diseases. Moreover, these potential biomarkers may be monitored for diagnosis and treatment approaches after validation investigations.

Keywords: Centrality analysis; Gene expression profile; Gene ontology; None alcoholic fatty liver disease; Protein-protein interaction network analysis; Rat Model.