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      A Branched-Chain Amino Acid-Related Metabolic Signature Characterizes Obese Adolescents with Non-Alcoholic Fatty Liver Disease

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          Abstract

          Dysregulation of several metabolite pathways, including branched-chain amino acids (BCAAs), are associated with Non-Alcoholic Fatty Liver Disease (NAFLD) and insulin resistance in adults, while studies in youth reported conflicting results. We explored whether, independently of obesity and insulin resistance, obese adolescents with NAFLD display a metabolomic signature consistent with disturbances in amino acid and lipid metabolism. A total of 180 plasma metabolites were measured by a targeted metabolomic approach in 78 obese adolescents with ( n = 30) or without ( n = 48) NAFLD assessed by magnetic resonance imaging (MRI). All subjects underwent an oral glucose tolerance test and subsets of patients underwent a two-step hyperinsulinemic-euglycemic clamp and/or a second MRI after a 2.2 ± 0.8-year follow-up. Adolescents with NAFLD had higher plasma levels of valine ( p = 0.02), isoleucine ( p = 0.03), tryptophan ( p = 0.02), and lysine ( p = 0.02) after adjustment for confounding factors. Circulating BCAAs were negatively correlated with peripheral and hepatic insulin sensitivity. Furthermore, higher baseline valine levels predicted an increase in hepatic fat content (HFF) at follow-up ( p = 0.01). These results indicate that a dysregulation of BCAA metabolism characterizes obese adolescents with NAFLD independently of obesity and insulin resistance and predict an increase in hepatic fat content over time.

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          Most cited references37

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          Insulin sensitivity indices obtained from oral glucose tolerance testing: comparison with the euglycemic insulin clamp.

          Several methods have been proposed to evaluate insulin sensitivity from the data obtained from the oral glucose tolerance test (OGTT). However, the validity of these indices has not been rigorously evaluated by comparing them with the direct measurement of insulin sensitivity obtained with the euglycemic insulin clamp technique. In this study, we compare various insulin sensitivity indices derived from the OGTT with whole-body insulin sensitivity measured by the euglycemic insulin clamp technique. In this study, 153 subjects (66 men and 87 women, aged 18-71 years, BMI 20-65 kg/m2) with varying degrees of glucose tolerance (62 subjects with normal glucose tolerance, 31 subjects with impaired glucose tolerance, and 60 subjects with type 2 diabetes) were studied. After a 10-h overnight fast, all subjects underwent, in random order, a 75-g OGTT and a euglycemic insulin clamp, which was performed with the infusion of [3-3H]glucose. The indices of insulin sensitivity derived from OGTT data and the euglycemic insulin clamp were compared by correlation analysis. The mean plasma glucose concentration divided by the mean plasma insulin concentration during the OGTT displayed no correlation with the rate of whole-body glucose disposal during the euglycemic insulin clamp (r = -0.02, NS). From the OGTT, we developed an index of whole-body insulin sensitivity (10,000/square root of [fasting glucose x fasting insulin] x [mean glucose x mean insulin during OGTT]), which is highly correlated (r = 0.73, P < 0.0001) with the rate of whole-body glucose disposal during the euglycemic insulin clamp. Previous methods used to derive an index of insulin sensitivity from the OGTT have relied on the ratio of plasma glucose to insulin concentration during the OGTT. Our results demonstrate the limitations of such an approach. We have derived a novel estimate of insulin sensitivity that is simple to calculate and provides a reasonable approximation of whole-body insulin sensitivity from the OGTT.
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            Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus

            (2002)
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              The role of the gut microbiota in NAFLD.

              NAFLD is now the most common cause of liver disease in Western countries. This Review explores the links between NAFLD, the metabolic syndrome, dysbiosis, poor diet and gut health. Animal studies in which the gut microbiota are manipulated, and observational studies in patients with NAFLD, have provided considerable evidence that dysbiosis contributes to the pathogenesis of NAFLD. Dysbiosis increases gut permeability to bacterial products and increases hepatic exposure to injurious substances that increase hepatic inflammation and fibrosis. Dysbiosis, combined with poor diet, also changes luminal metabolism of food substrates, such as increased production of certain short-chain fatty acids and alcohol, and depletion of choline. Changes to the microbiome can also cause dysmotility, gut inflammation and other immunological changes in the gut that might contribute to liver injury. Evidence also suggests that certain food components and lifestyle factors, which are known to influence the severity of NAFLD, do so at least in part by changing the gut microbiota. Improved methods of analysis of the gut microbiome, and greater understanding of interactions between dysbiosis, diet, environmental factors and their effects on the gut-liver axis should improve the treatment of this common liver disease and its associated disorders.
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                Author and article information

                Journal
                Nutrients
                Nutrients
                nutrients
                Nutrients
                MDPI
                2072-6643
                22 June 2017
                July 2017
                : 9
                : 7
                : 642
                Affiliations
                [1 ]Department of Pediatrics, Yale University School of Medicine, 330 Cedar Street, P.O. Box 208064, New Haven, CT 06520, USA; goffredo.martina@ 123456gmail.com (M.G.); cosimogiannini@ 123456hotmail.it (C.G.); ebe.dadamo@ 123456yahoo.com (E.D.); bridget.pierpont@ 123456yale.edu (B.P.); sonia.caprio@ 123456yale.edu (S.C.)
                [2 ]Department of Internal Medicine, Yale University School of Medicine, 300 Cedar Street, P.O. Box 208020, New Haven, CT 06520, USA; domenico.trico@ 123456yale.edu
                [3 ]Department of Clinical and Experimental Medicine, University of Pisa, Pisa PI 56126, Italy
                [4 ]Department of Pediatrics, University of Chieti, Chieti CH 66100, Italy
                [5 ]Yale School of Public Health, New Haven, CT 06520, USA; hongyu.zhao@ 123456yale.edu (H.Z.); gang.peng@ 123456yale.edu (G.P.); xiaoqing.yu@ 123456yale.edu (X.Y.);
                [6 ]Department of Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT 06520, USA; tukiet.lam@ 123456yale.edu
                Author notes
                [†]

                These authors contributed equally to the manuscript.

                Article
                nutrients-09-00642
                10.3390/nu9070642
                5537762
                28640216
                6aca7737-3a7c-469d-b42b-b634aab2c5ce
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 01 May 2017
                : 19 June 2017
                Categories
                Article

                Nutrition & Dietetics
                metabolomics,youth,branched chain amino acids,insulin resistance,nonalcoholic fatty liver disease,obesity

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