Network analysis of hepatic genes responded to high-fat diet in C57BL/6J mice: nutrigenomics data mining from recent research findings.

Abstract

Obesity and its associated complications, including diabetes, dyslipidemia, atherosclerosis, and some cancers, have been a global health problem with a rapid increase of the obese population. In this study, we selected 31 obesity candidate genes in the liver of high-fat-induced obese C57BL/6J mice through investigation of literature search and analyzed functional protein-protein interaction of the genes using the STRING database. Most of the obesity candidate genes were closely connected through lipid metabolism, and in particular acyl-coenzyme A oxidase 1 appeared to be a core obesity gene. Overall, genes involved in fatty acid beta-oxidation, fatty acid synthesis, and gluconeogenesis were up-regulated, and genes involved in sterol biosynthesis, insulin signaling, and oxidative stress defense system were down-regulated with a high-fat diet. Future identification of core obesity genes and their functional targets is expected to provide a new way to prevent obesity by phytochemicals or functional foods on the basis of food and nutritional genomics.

• Authors: Eun Jung Kim, Eunjung Kim, Eun-Young Kwon, Hyun-Seo Jang, Cheol-Goo Hur, Myung-Sook Choi
• Journal: Journal of medicinal food (J Med Food) Vol. 13 Issue 4 Pg. 743-56 (Aug 2010) ISSN: 1557-7600 [Electronic] United States
• PMID: 20553184 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't, Review)

Chemical References

• Dietary Fats

Topics

• Animals
• Data Mining
• Databases, Protein
• Dietary Fats (administration & dosage)
• Disease Models, Animal
• Humans
• Liver (metabolism)
• Mice
• Mice, Inbred C57BL
• Nutrigenomics
• Obesity (genetics, metabolism)