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      TGF-β2 is an exercise-induced adipokine that regulates glucose and fatty acid metabolism

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          Abstract

          Exercise improves health and well-being across diverse organ systems, and elucidating mechanisms underlying the beneficial effects of exercise can lead to new therapies. Here, we show that transforming growth factor-β2 (TGF-β2) is secreted from adipose tissue in response to exercise and improves glucose tolerance in mice. We identify TGF-β2 as an exercise-induced adipokine in a gene expression analysis of human subcutaneous adipose tissue biopsies after exercise training. In mice, exercise training increases TGF-β2 in scWAT, serum, and its secretion from fat explants. Transplanting scWAT from exercise-trained wild type mice, but not from adipose tissue-specific Tgfb2−/− mice, into sedentary mice improves glucose tolerance. TGF-β2 treatment reverses the detrimental metabolic effects of high fat feeding in mice. Lactate, a metabolite released from muscle during exercise, stimulates TGF-β2 expression in human adipocytes. Administration of the lactate-lowering agent dichloroacetate during exercise training in mice decreases circulating TGF-β2 levels and reduces exercise-stimulated improvements in glucose tolerance. Thus, exercise training improves systemic metabolism through inter-organ communication with fat via a lactate-TGF-β2-signaling cycle.

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          Most cited references41

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          TGF-beta signal transduction.

          The transforming growth factor beta (TGF-beta) family of growth factors control the development and homeostasis of most tissues in metazoan organisms. Work over the past few years has led to the elucidation of a TGF-beta signal transduction network. This network involves receptor serine/threonine kinases at the cell surface and their substrates, the SMAD proteins, which move into the nucleus, where they activate target gene transcription in association with DNA-binding partners. Distinct repertoires of receptors, SMAD proteins, and DNA-binding partners seemingly underlie, in a cell-specific manner, the multifunctional nature of TGF-beta and related factors. Mutations in these pathways are the cause of various forms of human cancer and developmental disorders.
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            Is Open Access

            Exercise and Type 2 Diabetes

            Although physical activity (PA) is a key element in the prevention and management of type 2 diabetes, many with this chronic disease do not become or remain regularly active. High-quality studies establishing the importance of exercise and fitness in diabetes were lacking until recently, but it is now well established that participation in regular PA improves blood glucose control and can prevent or delay type 2 diabetes, along with positively affecting lipids, blood pressure, cardiovascular events, mortality, and quality of life. Structured interventions combining PA and modest weight loss have been shown to lower type 2 diabetes risk by up to 58% in high-risk populations. Most benefits of PA on diabetes management are realized through acute and chronic improvements in insulin action, accomplished with both aerobic and resistance training. The benefits of physical training are discussed, along with recommendations for varying activities, PA-associated blood glucose management, diabetes prevention, gestational diabetes mellitus, and safe and effective practices for PA with diabetes-related complications.
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              The Gene Ontology Annotation (GOA) Database: sharing knowledge in Uniprot with Gene Ontology.

              The Gene Ontology Annotation (GOA) database (http://www.ebi.ac.uk/GOA) aims to provide high-quality electronic and manual annotations to the UniProt Knowledgebase (Swiss-Prot, TrEMBL and PIR-PSD) using the standardized vocabulary of the Gene Ontology (GO). As a supplementary archive of GO annotation, GOA promotes a high level of integration of the knowledge represented in UniProt with other databases. This is achieved by converting UniProt annotation into a recognized computational format. GOA provides annotated entries for nearly 60,000 species (GOA-SPTr) and is the largest and most comprehensive open-source contributor of annotations to the GO Consortium annotation effort. By integrating GO annotations from other model organism groups, GOA consolidates specialized knowledge and expertise to ensure the data remain a key reference for up-to-date biological information. Furthermore, the GOA database fully endorses the Human Proteomics Initiative by prioritizing the annotation of proteins likely to benefit human health and disease. In addition to a non-redundant set of annotations to the human proteome (GOA-Human) and monthly releases of its GO annotation for all species (GOA-SPTr), a series of GO mapping files and specific cross-references in other databases are also regularly distributed. GOA can be queried through a simple user-friendly web interface or downloaded in a parsable format via the EBI and GO FTP websites. The GOA data set can be used to enhance the annotation of particular model organism or gene expression data sets, although increasingly it has been used to evaluate GO predictions generated from text mining or protein interaction experiments. In 2004, the GOA team will build on its success and will continue to supplement the functional annotation of UniProt and work towards enhancing the ability of scientists to access all available biological information. Researchers wishing to query or contribute to the GOA project are encouraged to email: goa@ebi.ac.uk.
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                Author and article information

                Journal
                101736592
                48119
                Nat Metab
                Nat Metab
                Nature metabolism
                2522-5812
                20 December 2018
                11 February 2019
                February 2019
                11 August 2019
                : 1
                : 2
                : 291-303
                Affiliations
                [1 ]Section on Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
                [2 ]Department of Physiology and Cell Biology, Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
                [3 ]Bioinformatics Core, Joslin Diabetes Center, Harvard Medical School, Boston, Massachusetts, USA
                [4 ]Department of Cell Biology & Anatomy, School of Medicine, University of South Carolina, Columbia, SC, USA
                [5 ]Turku PET Centre, University of Turku, Turku, Finland
                [6 ]The Centre of Inflammation and Metabolism and the Centre for Physical Activity Research, Rigshospitalet, University of Copenhagen, Denmark
                Author notes
                [§]

                Deceased (December 16, 2016)

                [*]

                These authors contributed equally to this work

                Author contributions

                H.T. and C.R.R.A designed research, carried out experiments, analyzed data and wrote the paper. K.I.S. performed experiments with trained mice. R.J.M. performed and analyzed human data. P.N. carried out all experiments of adipocyte incubation. R.E.R carried out experiments and analyzed data with Tgfb2 knockout mice and TGF-β2 treated mice. X.R. designed and performed Seahorse assays and provided human white preadipocytes. M.S. carried out experiments and analyzed data of cell sorting. M.D.L. carried out in vivo imaging studies for fatty acid uptake. K.S. and J.D.M. performed genotyping of Tgfb2 knockout mice and cell experiments. J.M.D. carried out correlation analysis of microarray and analyzed bioinformatic data. M.Y.L. carried out gene-expression analysis of human adipose tissue. E.B. carried out fatty acid uptake in vitro and Seahorse assays. H.P. and J.M.D. performed bioinformatics analysis. M.F.H. performed in vivo experiments and supervised all experiments. M.A. established and provided Tgfb2 knockout mice. J.C.H., K.K.K., B.K.P and S.N. carried out and provided human samples. C.R.K supervised in vivo and in vitro experiments with adipocytes or adipose tissue. Y.T. supervised experiments with human preadipocytes and provided immortalized brown preadipocytes. L.J.G. directed the research project, designed experiments and wrote the paper. All authors have participated in the manuscript review. All authors approved the final manuscript.

                Correspondence should be addressed to Laurie J. Goodyear ( laurie.goodyear@ 123456joslin.harvard.edu )
                Article
                NIHMS1517151
                10.1038/s42255-018-0030-7
                6481955
                31032475
                7af1e2c9-2531-4df9-b4b5-646e472ee559

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