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      Increased Secretion and Expression of Myostatin in Skeletal Muscle From Extremely Obese Women

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          Abstract

          OBJECTIVE—Obesity is associated with endocrine abnormalities that predict the progression of insulin resistance to type 2 diabetes. Because skeletal muscle has been shown to secrete proteins that could be used as biomarkers, we characterized the secreted protein profile of muscle cells derived from extremely obese (BMI 48.8 ± 14.8 kg/m 2; homeostasis model assessment [HOMA] 3.6 ± 1.0) relative to lean healthy subjects (BMI 25.7 ± 3.2 kg/m 2; HOMA 0.8 ± 0.2).

          RESEARCH DESIGN AND METHODS—We hypothesized that skeletal muscle would secrete proteins that predict the severity of obesity. To test this hypothesis, we used a “bottom-up” experimental design using stable isotope labeling by amino acids in culture (SILAC) and liquid chromatography/mass spectometry/mass spectometry (LC-MS/MS) to both identify and quantify proteins secreted from cultured myotubes derived from extremely obese compared with healthy nonobese women.

          RESULTS—Using SILAC, we discovered a 2.9-fold increase in the secretion of myostatin from extremely obese human myotubes. The increased secretion and biological activity of myostatin were validated by immunoblot (3.16 ± 0.18, P < 0.01) and a myoblast proliferation assay using conditioned growth medium. Myostatin was subsequently shown to increase in skeletal muscle (23%, P < 0.05) and plasma (35%, P < 0.05) and to correlate ( r 2 = 0.6, P < 0.05) with the severity of insulin resistance.

          CONCLUSIONS—Myostatin is a potent antianabolic regulator of muscle mass that may also play a role in energy metabolism. These findings show that increased expression of myostatin in skeletal muscle with obesity and insulin resistance results in elevated circulating myostatin. This may contribute to systemic metabolic deterioration of skeletal muscle with the progression of insulin resistance to type 2 diabetes.

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          Diabetes

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            Myostatin, a negative regulator of muscle growth, functions by inhibiting myoblast proliferation.

            Myostatin, a member of the transforming growth factor-beta (TGF-beta) superfamily, has been shown to be a negative regulator of myogenesis. Here we show that myostatin functions by controlling the proliferation of muscle precursor cells. When C(2)C(12) myoblasts were incubated with myostatin, proliferation of myoblasts decreased with increasing levels of myostatin. Fluorescence-activated cell sorting analysis revealed that myostatin prevented the progression of myoblasts from the G(1)- to S-phase of the cell cycle. Western analysis indicated that myostatin specifically up-regulated p21(Waf1, Cip1), a cyclin-dependent kinase inhibitor, and decreased the levels and activity of Cdk2 protein in myoblasts. Furthermore, we also observed that in myoblasts treated with myostatin protein, Rb was predominately present in the hypophosphorylated form. These results suggests that, in response to myostatin signaling, there is an increase in p21 expression and a decrease in Cdk2 protein and activity thus resulting in an accumulation of hypophosphorylated Rb protein. This, in turn, leads to the arrest of myoblasts in G(1)-phase of cell cycle. Thus, we propose that the generalized muscular hyperplasia phenotype observed in animals that lack functional myostatin could be as a result of deregulated myoblast proliferation.
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              Muscle fiber type is associated with obesity and weight loss.

              The purpose of this study was to test the hypothesis that muscle fiber type is related to obesity. Fiber type was compared 1) in lean and obese women, 2) in Caucasian (C) and African-American (AA) women, and 3) in obese individuals who lost weight after gastric bypass surgery. When lean (body mass index 24.0 +/- 0.9 kg/m(2), n = 28) and obese (34.8 +/- 0.9 kg/m(2), n = 25) women were compared, there were significant (P < 0.05) differences in muscle fiber type. The obese women possessed fewer type I (41.5 +/- 1.8 vs. 54.6 +/- 1.8%) and more type IIb (25.1 +/- 1.5 vs. 14.4 +/- 1.5%) fibers than the lean women. When ethnicity was accounted for, the percentage of type IIb fibers in obese AA was significantly higher than in obese C (31.0 +/- 2.4% vs. 19.2 +/- 1.9%); fewer type I fibers were also found in obese AA (34.5 +/- 2.8% vs. 48.6 +/- 2.2%). These data are consistent with the higher incidence of obesity and greater weight gain reported in AA women. With weight loss intervention, there was a positive relationship (r = 0.72, P < 0.005) between the percentage of excess weight loss and the percentage of type I fibers in morbidly obese patients. These findings indicate that there is a relationship between muscle fiber type and obesity.
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                Author and article information

                Journal
                Diabetes
                diabetes
                Diabetes
                American Diabetes Association
                0012-1797
                1939-327X
                January 2009
                : 58
                : 1
                : 30-38
                Affiliations
                [1 ]Human Performance Laboratory, Faculty of Kinesiology, Roger Jackson Center for Health and Wellness, University of Calgary, Calgary, Alberta, Canada
                [2 ]Human Performance Laboratory and Department of Exercise and Sport Science, East Carolina University, Greenville, North Carolina
                Author notes

                Corresponding author: Dustin S. Hittel, dhittel@ 123456kin.ucalgary.ca

                Article
                58130
                10.2337/db08-0943
                2606890
                18835929
                55df7c98-e3ba-4251-9d90-6979fb3d4c44
                Copyright © 2009, American Diabetes Association

                Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. See http://creativecommons.org/licenses/by-nc-nd/3.0/ for details.

                History
                : 14 July 2008
                : 19 September 2008
                Categories
                New Methodologies and Databases

                Endocrinology & Diabetes
                Endocrinology & Diabetes

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