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      Composition of adipose tissue and marrow fat in humans by 1H NMR at 7 Tesla*

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          Abstract

          Proton NMR spectroscopy at 7 Tesla (7T) was evaluated as a new method to quantify human fat composition noninvasively. In validation experiments, the composition of a known mixture of triolein, tristearin, and trilinolein agreed well with measurements by 1H NMR spectroscopy. Triglycerides in calf subcutaneous tissue and tibial bone marrow were examined in 20 healthy subjects by 1H spectroscopy. Ten well-resolved proton resonances from triglycerides were detected using stimulated echo acquisition mode sequence and small voxel (∼0.1 ml), and T 1 and T 2 were measured. Triglyceride composition was not different between calf subcutaneous adipose tissue and tibial marrow for a given subject, and its variation among subjects, as a result of diet and genetic differences, fell in a narrow range. After correction for differential relaxation effects, the marrow fat composition was 29.1 ± 3.5% saturated, 46.4 ± 4.8% monounsaturated, and 24.5 ± 3.1% diunsaturated, compared with adipose fat composition, 27.1 ± 4.2% saturated, 49.6 ± 5.7% monounsaturated, and 23.4 ± 3.9% diunsaturated. Proton spectroscopy at 7T offers a simple, fast, noninvasive, and painless method for obtaining detailed information about lipid composition in humans, and the sensitivity and resolution of the method may facilitate longitudinal monitoring of changes in lipid composition in response to diet, exercise, and disease.

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          Influence of dietary fat composition on development of insulin resistance in rats. Relationship to muscle triglyceride and omega-3 fatty acids in muscle phospholipid.

          High levels of some but not all dietary fats lead to insulin resistance in rats. The aim of this study was to investigate the important determinants underlying this observation. Insulin action was assessed with the euglycemic clamp. Diets high in saturated, monounsaturated (omega-9), or polyunsaturated (omega-6) fatty acids led to severe insulin resistance; glucose infusion rates [GIR] to maintain euglycemia at approximately 1000 pM insulin were 6.2 +/- 0.9, 8.9 +/- 0.9, and 9.7 +/- 0.4 mg.kg-1. min-1, respectively, versus 16.1 +/- 1.0 mg.kg-1.min-1 in chow-fed controls. Substituting 11% of fatty acids in the polyunsaturated fat diet with long-chain omega-3 fatty acids from fish oils normalized insulin action (GIR 15.0 +/- 1.3 mg.kg-1.min-1). Similar replacement with short-chain omega-3 (alpha-linolenic acid, 18:3 omega 3) was ineffective in the polyunsaturated diet (GIR 9.9 +/- 0.5 mg.kg-1.min-1) but completely prevented the insulin resistance induced by a saturated-fat diet (GIR 16.0 +/- 1.5 mg.kg-1.min-1) and did so in both the liver and peripheral tissues. Insulin sensitivity in skeletal muscle was inversely correlated with mean muscle triglyceride accumulation (r = 0.95 and 0.86 for soleus and red quadriceps, respectively; both P less than 0.01). Furthermore, percentage of long-chain omega-3 fatty acid in phospholipid measured in red quadriceps correlated highly with insulin action in that muscle (r = 0.97). We conclude that 1) the particular fatty acids and the lipid environment in which they are presented in high-fat diets determine insulin sensitivity in rats; 2) impaired insulin action in skeletal muscle relates to triglyceride accumulation, suggesting intracellular glucose-fatty acid cycle involvement; and 3) long-chain omega-3 fatty acids in phospholipid of skeletal muscle may be important for efficient insulin action.
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            Dietary fat and incidence of type 2 diabetes in older Iowa women.

            To examine the associations between reported intakes of dietary fat and incident type 2 diabetes. We studied the relation between dietary fatty acids and diabetes in a prospective cohort study of 35,988 older women who initially did not have diabetes. Diet was assessed with a food frequency questionnaire at baseline, and 1,890 incident cases of diabetes occurred during 11 years of follow-up. After adjusting for age, smoking, alcohol consumption, BMI, waist-to-hip ratio, physical activity, demographic factors, and dietary magnesium and cereal fiber, diabetes incidence was negatively associated with dietary polyunsaturated fatty acids, vegetable fat, and trans fatty acids and positively associated with omega-3 fatty acids, cholesterol, and the Keys score. After simultaneous adjustment for other dietary fat, only vegetable fat remained clearly related to diabetes risk. Relative risks across quintiles of vegetable fat intake were 1.00, 0.90, 0.87, 0.84, and 0.82 (P = 0.02). Diabetes risk was also inversely related to substituting polyunsaturated fatty acids for saturated fatty acids and positively correlated to the Keys dietary score. These data support an inverse relation between incident type 2 diabetes and vegetable fat and substituting polyunsaturated fatty acids for saturated fatty acids and cholesterol.
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              Skeletal muscle lipid accumulation in obesity, insulin resistance, and type 2 diabetes.

              In addition to obesity, many factors, including the distribution of body fat, contribute to the development of insulin resistance and type 2 diabetes mellitus (T2DM). Lipid contained within skeletal muscle as triglyceride is a parameter of regional fat accumulation thought to be an important link among obesity, insulin resistance, and type 2 diabetes, even in the pediatric population. Intramuscular triglycerides can also be a fuel source for healthy muscle during periods of physical activity. Thus, the balance between storage and efficient utilization of muscle triglycerides is likely a key to a better understanding of the interaction between dysregulated fat and glucose metabolism by muscle in both adults and children. This review examines the evidence that muscle lipid accumulation is linked with insulin resistance and type 2 diabetes of both adults and children. In addition, we explore the potential mechanisms for muscle lipid accumulation as well as the effects of weight loss and physical activity on muscle lipid. Further defining the links between muscle lipid accumulation and insulin action should help develop more effective strategies to prevent or treat type 2 diabetes and other obesity-associated disorders.
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                Author and article information

                Journal
                J Lipid Res
                jlr
                Journal of Lipid Research
                American Society for Biochemistry and Molecular Biology
                0022-2275
                September 2008
                1 September 2008
                : 49
                : 9
                : 2055-2062
                Affiliations
                [* ]Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX 75235
                []Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX 75235
                [§ ]Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75235
                [** ]Department of Chemistry, University of Texas at Dallas, Richardson, TX 75083
                [†† ]Veterans Administration North Texas Health Care System, Dallas, TX 75216
                [§§ ]Philips Medical Systems, Cleveland, OH 44143
                Author notes
                [1]

                To whom correspondence should be addressed. e-mail: Craig.Malloy@ 123456UTSouthwestern.edu

                Article
                jlr4992055
                10.1194/jlr.D800010-JLR200
                2515528
                18509197
                9c49204d-45b9-41fc-a92e-015b23e90743

                Author's Choice - Final version full access.

                Creative Commons Attribution Non-Commercial License applies to Author Choice Articles

                History
                : 8 February 2008
                : 27 May 2008
                Categories
                Methods

                Biochemistry
                subcutaneous fat,bone marrow,fatty acids,triglycerides,musculoskeletal,metabolism,lipid composition,in vivo,spectroscopy

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