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• W2064073334 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." @default.
• W2064073334 created "2016-06-24" @default.
• W2064073334 creator A5015295332 @default.
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• W2064073334 creator A5030500129 @default.
• W2064073334 creator A5031004025 @default.
• W2064073334 creator A5054773300 @default.
• W2064073334 creator A5091385586 @default.
• W2064073334 date "2014-01-01" @default.
• W2064073334 modified "2023-09-27" @default.
• W2064073334 title "Meta-Review of Protein Network Regulating Obesity Between Validated Obesity Candidate Genes in the White Adipose Tissue of High-Fat Diet-Induced Obese C57BL/6J Mice" @default.
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