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      Phosphatase protector alpha4 (α4) is involved in adipocyte maintenance and mitochondrial homeostasis through regulation of insulin signaling

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          Abstract

          Insulin signaling is mediated via a network of protein phosphorylation. Dysregulation of this network is central to obesity, type 2 diabetes and metabolic syndrome. Here we investigate the role of phosphatase binding protein Alpha4 (α4) that is essential for the serine/threonine protein phosphatase 2A (PP2A) in insulin action/resistance in adipocytes. Unexpectedly, adipocyte-specific inactivation of α4 impairs insulin-induced Akt-mediated serine/threonine phosphorylation despite a decrease in the protein phosphatase 2A (PP2A) levels. Interestingly, loss of α4 also reduces insulin-induced insulin receptor tyrosine phosphorylation. This occurs through decreased association of α4 with Y-box protein 1, resulting in the enhancement of the tyrosine phosphatase protein tyrosine phosphatase 1B (PTP1B) expression. Moreover, adipocyte-specific knockout of α4 in male mice results in impaired adipogenesis and altered mitochondrial oxidation leading to increased inflammation, systemic insulin resistance, hepatosteatosis, islet hyperplasia, and impaired thermogenesis. Thus, the α4 /Y-box protein 1(YBX1)-mediated pathway of insulin receptor signaling is involved in maintaining insulin sensitivity, normal adipose tissue homeostasis and systemic metabolism.

          Abstract

          The insulin signalling cascade can be inhibited by phosphatases, including Ser/Thr protein phosphatase 2A (PP2A). Here the authors show that Alpha4, a regulator of the PP2A catalytic subunit, modulates insulin receptor tyrosine phosphorylation via the YBX-1/PTP1B pathway and is involved in maintenance of adipose tissue homeostasis and systemic metabolism.

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          Inflammation and metabolic disorders.

          Metabolic and immune systems are among the most fundamental requirements for survival. Many metabolic and immune response pathways or nutrient- and pathogen-sensing systems have been evolutionarily conserved throughout species. As a result, immune response and metabolic regulation are highly integrated and the proper function of each is dependent on the other. This interface can be viewed as a central homeostatic mechanism, dysfunction of which can lead to a cluster of chronic metabolic disorders, particularly obesity, type 2 diabetes and cardiovascular disease. Collectively, these diseases constitute the greatest current threat to global human health and welfare.
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            Skyline: an open source document editor for creating and analyzing targeted proteomics experiments.

            Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. It is open source and freely available for academic and commercial use. The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM). Skyline supports using and creating MS/MS spectral libraries from a wide variety of sources to choose SRM filters and verify results based on previously observed ion trap data. Skyline exports transition lists to and imports the native output files from Agilent, Applied Biosystems, Thermo Fisher Scientific and Waters triple quadrupole instruments, seamlessly connecting mass spectrometer output back to the experimental design document. The fast and compact Skyline file format is easily shared, even for experiments requiring many sample injections. A rich array of graphs displays results and provides powerful tools for inspecting data integrity as data are acquired, helping instrument operators to identify problems early. The Skyline dynamic report designer exports tabular data from the Skyline document model for in-depth analysis with common statistical tools. Single-click, self-updating web installation is available at http://proteome.gs.washington.edu/software/skyline. This web site also provides access to instructional videos, a support board, an issues list and a link to the source code project.
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              Mechanisms of Insulin Action and Insulin Resistance

              The 1921 discovery of insulin was a Big Bang from which a vast and expanding universe of research into insulin action and resistance has issued. In the intervening century, some discoveries have matured, coalescing into solid and fertile ground for clinical application; others remain incompletely investigated and scientifically controversial. Here, we attempt to synthesize this work to guide further mechanistic investigation and to inform the development of novel therapies for type 2 diabetes (T2D). The rational development of such therapies necessitates detailed knowledge of one of the key pathophysiological processes involved in T2D: insulin resistance. Understanding insulin resistance, in turn, requires knowledge of normal insulin action. In this review, both the physiology of insulin action and the pathophysiology of insulin resistance are described, focusing on three key insulin target tissues: skeletal muscle, liver, and white adipose tissue. We aim to develop an integrated physiological perspective, placing the intricate signaling effectors that carry out the cell-autonomous response to insulin in the context of the tissue-specific functions that generate the coordinated organismal response. First, in section II, the effectors and effects of direct, cell-autonomous insulin action in muscle, liver, and white adipose tissue are reviewed, beginning at the insulin receptor and working downstream. Section III considers the critical and underappreciated role of tissue crosstalk in whole body insulin action, especially the essential interaction between adipose lipolysis and hepatic gluconeogenesis. The pathophysiology of insulin resistance is then described in section IV. Special attention is given to which signaling pathways and functions become insulin resistant in the setting of chronic overnutrition, and an alternative explanation for the phenomenon of ‟selective hepatic insulin resistanceˮ is presented. Sections V, VI, and VII critically examine the evidence for and against several putative mediators of insulin resistance. Section V reviews work linking the bioactive lipids diacylglycerol, ceramide, and acylcarnitine to insulin resistance; section VI considers the impact of nutrient stresses in the endoplasmic reticulum and mitochondria on insulin resistance; and section VII discusses non-cell autonomous factors proposed to induce insulin resistance, including inflammatory mediators, branched-chain amino acids, adipokines, and hepatokines. Finally, in section VIII, we propose an integrated model of insulin resistance that links these mediators to final common pathways of metabolite-driven gluconeogenesis and ectopic lipid accumulation.
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                Author and article information

                Contributors
                msakaguchi@kumamoto-u.ac.jp
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                14 October 2022
                14 October 2022
                2022
                : 13
                : 6092
                Affiliations
                [1 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Department of Metabolic Medicine, Faculty of Life Sciences, , Kumamoto University, ; 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556 Japan
                [2 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Center for Metabolic Regulation of Healthy Aging (CMHA), Faculty of Life Sciences, , Kumamoto University, ; Kumamoto, 860-8556 Japan
                [3 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Department of Medical Biochemistry, Faculty of Life Sciences, , Kumamoto University, ; 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556 Japan
                [4 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Department of Anatomy and Neurobiology, Faculty of Life Sciences, , Kumamoto University, ; 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556 Japan
                [5 ]GRID grid.260914.8, ISNI 0000 0001 2322 1832, Department of Biomedical Sciences, , New York Institute of Technology College of Osteopathic Medicine, ; Old Westbury, NY 11568 USA
                [6 ]GRID grid.38142.3c, ISNI 000000041936754X, Sections of Integrative Physiology and Metabolism, Joslin Diabetes Center, , Harvard Medical School, ; Boston, MA 02215 USA
                [7 ]GRID grid.274841.c, ISNI 0000 0001 0660 6749, Department of Immunology, Faculty of Life Sciences, , Kumamoto University, ; 1-1-1 Honjo, Chuoku, Kumamoto, 860-8556 Japan
                [8 ]GRID grid.272456.0, ISNI 0000 0000 9343 3630, Department of Microbiology and Cell Biology, , Tokyo Metropolitan Institute of Medical Science, ; 2-1-6、Kamikitazawa, Setagaya-ku, Tokyo, 156-8506 Japan
                Author information
                http://orcid.org/0000-0001-7492-8416
                http://orcid.org/0000-0003-0697-1476
                http://orcid.org/0000-0002-5728-1996
                http://orcid.org/0000-0003-2053-9559
                http://orcid.org/0000-0002-7583-9228
                http://orcid.org/0000-0002-4064-7525
                Article
                33842
                10.1038/s41467-022-33842-4
                9568526
                36241662
                cf0ec368-888b-4c1e-9fce-c26ac0c0242d
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 1 February 2022
                : 5 October 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001691, MEXT | Japan Society for the Promotion of Science (JSPS);
                Award ID: JP 18K16208
                Award ID: JP 21K08532
                Award Recipient :
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                © The Author(s) 2022

                Uncategorized
                type 2 diabetes,protein-protein interaction networks,metabolism
                Uncategorized
                type 2 diabetes, protein-protein interaction networks, metabolism

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