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Transcriptional networks in a rat model for nonalcoholic fatty liver disease: a microarray analysis.

Sharma MR, Polavarapu R, Roseman D, Patel V, Eaton E, Kishor PB, Nanji AA

Department of Pathology and Laboratory Medicine, School of Medicine, University of Pennsylvania, A-414 VA Medical Center, Woodland Avenue, Philadelphia, PA 19104, USA. prasunsh@mail.med.upenn.edu <prasunsh@mail.med.upenn.edu>

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is a common hepatic condition that may progress to end-stage liver disease. High-fat diets in animals reproduce many of the features found in nonalcoholic steatohepatitis. OBJECTIVE: To understand how various dietary or genetic factors influence the development of fatty liver and consequently NAFLD, we performed microarray-based expression profiling of genes, induced by fish oil and dextrose diet, a putative mediator of alcohol-like effects on the liver of the female rat. DESIGN: Male and age-matched female rats were fed fish oil and dextrose for 4 weeks. Hepatic RNA from each sample was extracted and used for microarray analysis. RESULTS: A large number of genes underwent significant changes in the female liver as compared to male controls. In the female rat liver, biological theme analysis demonstrated a shift in the transcriptional program which included upregulation of genes involved in lipid metabolism, chaperone activity, mitochondrial and oxidoreductase activity combined with downregulation of genes involved in nucleic acid metabolism. The differential expression of genes of interest identified by microarray technique was validated by real-time reverse transcription-polymerase chain reaction. Ingenuity computational pathway analysis tools were used to identify specific regulatory networks of genes operative in promoting liver injury. CONCLUSIONS: The use of networks stated above allowed us to identify genes involved in cell death, apoptosis, peroxisome proliferator-activated receptor alpha-regulated lipid metabolism and mitogen-activated protein kinase signaling pathways.

Published 6 November 2006 in Exp Mol Pathol, 81(3): 202-10.
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