| Literature DB >> 24499070 |
Eunjung Kim1, Eun Jung Kim, Seung-Won Seo, Cheol-Goo Hur, Robin A McGregor, Myung-Sook Choi.
Abstract
Worldwide obesity and related comorbidities are increasing, but identifying new therapeutic targets remains a challenge. A plethora of microarray studies in diet-induced obesity models has provided large datasets of obesity associated genes. In this review, we describe an approach to examine the underlying molecular network regulating obesity, and we discuss interactions between obesity candidate genes. We conducted network analysis on functional protein-protein interactions associated with 25 obesity candidate genes identified in a literature-driven approach based on published microarray studies of diet-induced obesity. The obesity candidate genes were closely associated with lipid metabolism and inflammation. Peroxisome proliferator activated receptor gamma (Pparg) appeared to be a core obesity gene, and obesity candidate genes were highly interconnected, suggesting a coordinately regulated molecular network in adipose tissue. In conclusion, the current network analysis approach may help elucidate the underlying molecular network regulating obesity and identify anti-obesity targets for therapeutic intervention.Entities:
Mesh:
Substances:
Year: 2014 PMID: 24499070 DOI: 10.1080/10408398.2011.619283
Source DB: PubMed Journal: Crit Rev Food Sci Nutr ISSN: 1040-8398 Impact factor: 11.176