Type 2 diabetes (T2D) has reached epidemic proportions in the United States, affecting an estimated 8.3% of the population and inflicting enormous personal, public health, and financial tolls. Unfortunately, the cellular and molecular abnormalities that confer genetic and environmentally- determined diabetes risk remain incompletely understood. Thus, finding genes and pathways linked to T2D risk is essential for developing new and improved approaches to prevention and treatment. Recent studies from the Patti Lab have identified a novel, unexpected pattern of gene expression in skeletal muscle from human patients with established T2D. This pattern includes increased expression of genes regulated by serum response factor (SRF) and its upstream regulatory protein STARS (striated muscle activator of Rho-dependent signaling). Moreover, STARS expression correlates inversely with insulin resistance. Importantly, this pattern is also present in those at risk for disease based on family history, potentially linking this to risk for T2D (Jin and Patti, JCI 2011) Preliminary data indicate that the STARS-SRF pathway can robustly regulate muscle insulin resistance and systemic metabolism, contributing to T2D pathophysiology. Specifically, activation of STARS-SRF induces insulin resistance and reduces fatty acid oxidation, while inhibition of SRF or reduced STARS expression improves mitochondrial oxidative metabolism and increases insulin- stimulated glucose transport in myotubes. Moreover, STARS-null mice are resistant to diet-induced obesity and glucose intolerance, potentially via increased exercise capacity and energy expenditure. This proposal focuses on testing the innovative hypothesis that activation of STARS-SRF plays a pivotal role in promoting insulin resistance, and that inhibition of this pathway is a novel therapeutic approach for T2D.
Three specific aims are proposed to test these hypotheses and to elucidate molecular mechanisms mediating these effects: (1) To determine the metabolic consequences of STARS-SRF activation, by assessing insulin action, glucose transport, and oxidative metabolism in myotubes overexpressing STARS and in muscle-specific STARS transgenic mice. (2) To identify mechanisms by which STARS-SRF modulates oxidative metabolism and insulin sensitivity by detailed analysis of mitochondrial mass/function & insulin signaling in primary myotubes from both STARS-null and STARS-transgenic mice. Since preliminary data indicate that STARS-SRF inhibition activates AMP kinase, we will test whether STARS effects on oxidative metabolism are mediated via AMP kinase. (3) To utilize specific SRF inhibitors to dissect pathways mediating improved insulin action and oxidative metabolism in cultured myotubes, and determine whether these inhibitors can similarly improve glucose metabolism and energy expenditure in vivo, in mice with obesity and T2D.

Public Health Relevance

Since type 2 diabetes is a major burden to public health in America, it is important to identify the reasons why some individuals develop insulin resistance, a key factor in increasing risk for diabetes. We have identified new genes and proteins within the STARS-SRF pathway which contribute to insulin resistance in muscle;when this pathway is blocked, both cells and mice have improved metabolism and mice are resistant to becoming obese. In this proposal, we will test how both genetic approaches and drug therapy can alter this pathway and potentially improve diabetes prevention and treatment.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
High Priority, Short Term Project Award (R56)
Project #
1R56DK096158-01
Application #
8495450
Study Section
Cellular Aspects of Diabetes and Obesity Study Section (CADO)
Program Officer
Laughlin, Maren R
Project Start
2012-07-26
Project End
2013-06-30
Budget Start
2012-07-26
Budget End
2013-06-30
Support Year
1
Fiscal Year
2012
Total Cost
$123,563
Indirect Cost
$48,563
Name
Joslin Diabetes Center
Department
Type
DUNS #
071723084
City
Boston
State
MA
Country
United States
Zip Code
02215
Sales, Vicencia; Patti, Mary-Elizabeth (2013) The Ups and Downs of Insulin Resistance and Type 2 Diabetes: Lessons from Genomic Analyses in Humans. Curr Cardiovasc Risk Rep 7:46-59