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Regulation of Insulin and Leptin Signaling by Muscle Suppressor of Cytokine Signaling 3 (SOCS3)

Overview of attention for article published in PLOS ONE, October 2012
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Title
Regulation of Insulin and Leptin Signaling by Muscle Suppressor of Cytokine Signaling 3 (SOCS3)
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047493
Pubmed ID
Authors

Zhenggang Yang, Matthew Hulver, Ryan P. McMillan, Lingzhi Cai, Erin E. Kershaw, Liqing Yu, Bingzhong Xue, Hang Shi

Abstract

Skeletal muscle resistance to the key metabolic hormones, leptin and insulin, is an early defect in obesity. Suppressor of cytokine signaling 3 (SOCS3) is a major negative regulator of both leptin and insulin signaling, thereby implicating SOCS3 in the pathogenesis of obesity and associated metabolic abnormalities. Here, we demonstrate that SOCS3 mRNA expression is increased in murine skeletal muscle in the setting of diet-induced and genetic obesity, inflammation, and hyperlipidemia. To further evaluate the contribution of muscle SOCS3 to leptin and insulin resistance in obesity, we generated transgenic mice with muscle-specific overexpression of SOCS3 (MCK/SOCS3 mice). Despite similar body weight, MCK/SOCS3 mice develop impaired systemic and muscle-specific glucose homeostasis and insulin action based on glucose and insulin tolerance tests, hyperinsulinemic-euglycemic clamps, and insulin signaling studies. With regards to leptin action, MCK/SOCS3 mice exhibit suppressed basal and leptin-stimulated activity and phosphorylation of alpha2 AMP-activated protein kinase (α2AMPK) and its downstream target, acetyl-CoA carboxylase (ACC). Muscle SOCS3 overexpression also suppresses leptin-regulated genes involved in fatty acid oxidation and mitochondrial function. These studies demonstrate that SOC3 within skeletal muscle is a critical regulator of leptin and insulin action and that increased SOCS may mediate insulin and leptin resistance in obesity.

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The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 60 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 30%
Student > Bachelor 11 18%
Student > Postgraduate 6 10%
Researcher 5 8%
Student > Master 5 8%
Other 11 18%
Unknown 5 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 36%
Biochemistry, Genetics and Molecular Biology 10 16%
Medicine and Dentistry 10 16%
Sports and Recreations 2 3%
Chemistry 2 3%
Other 9 15%
Unknown 6 10%