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Richter EA, Bilan PJ, Klip A. A comprehensive view of muscle glucose uptake: regulation by insulin, contractile activity, and exercise. Physiol Rev 2025; 105:1867-1945. [PMID: 40173020 DOI: 10.1152/physrev.00033.2024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Revised: 11/07/2024] [Accepted: 03/08/2025] [Indexed: 04/04/2025] Open
Abstract
Skeletal muscle is the main site of glucose deposition in the body during meals and the major glucose utilizer during physical activity. Although in both instances the supply of glucose from the circulation to the muscle is of paramount importance, in most conditions the rate-limiting step in glucose uptake, storage, and utilization is the transport of glucose across the muscle cell membrane. This step is dependent upon the translocation of the insulin- and contraction-responsive glucose transporter GLUT4 from intracellular storage sites to the sarcolemma and T tubules. Here, we first analyze how glucose can traverse the capillary wall into the muscle interstitial space. We then review the molecular processes that regulate GLUT4 translocation in response to insulin and muscle contractions and the methodologies utilized to unravel them. We further discuss how physical activity and inactivity, respectively, lead to increased and decreased insulin action in muscle and touch upon sex differences in glucose metabolism. Although many key processes regulating glucose uptake in muscle are known, the advent of newer and bioinformatics tools has revealed further molecular signaling processes reaching a staggering level of complexity. Much of this molecular mapping has emerged from cellular and animal studies and more recently from application of a variety of -omics in human tissues. In the future, it will be imperative to validate the translatability of results drawn from experimental systems to human physiology.
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Affiliation(s)
- Erik A Richter
- Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark
| | - Philip J Bilan
- Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Amira Klip
- Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada
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Boucherie C, Alkailani M, Jossin Y, Ruiz-Reig N, Mahdi A, Aldaalis A, Aittaleb M, Tissir F. Auts2 enhances neurogenesis and promotes expansion of the cerebral cortex. J Adv Res 2025; 72:151-163. [PMID: 39013538 DOI: 10.1016/j.jare.2024.07.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 12/28/2023] [Accepted: 07/13/2024] [Indexed: 07/18/2024] Open
Abstract
INTRODUCTION The AUTS2 gene is associated with various neurodevelopmental and psychiatric disorders and has been suggested to play a role in acquiring human-specific traits. Functional analyses of Auts2 knockout mice have focused on postmitotic neurons, and the reported phenotypes do not faithfully recapitulate the whole spectrum of AUTS2-related human diseases. OBJECTIVE The objective of the study is to assess the role of AUTS2 in the biology of neural progenitor cells, cortical neurogenesis and expansion; and understand how its deregulation leads to neurological disorders. METHODS We screened the literature and conducted a time point analysis of AUTS2 expression during cortical development. We used in utero electroporation to acutely modulate the expression level of AUTS2 in the developing cerebral cortex in vivo, and thoroughly characterized cortical neurogenesis and morphogenesis using immunofluorescence, cell tracing and sorting, transcriptomic profiling, and gene ontology enrichment analyses. RESULTS In addition to its expression in postmitotic neurons, we showed that AUTS2 is also expressed in neural progenitor cells at the peak of neurogenesis. Upregulation of AUTS2 dramatically altered the differentiation program and fate determination of cortical progenitors. Notably, it increased the number of basal progenitors and neurons and changed the expression of hundreds of genes, among which 444 have not been implicated in mouse brain development or function. CONCLUSION The study provides evidence that AUTS2 is expressed in germinal zones and plays a key role in fate decision of neural progenitor cells with impact on corticogenesis. It also presents comprehensive lists of AUTS2 target genes thus advancing the molecular mechanisms underlying AUTS2-associated diseases and the evolutionary expansion of the cerebral cortex.
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Affiliation(s)
- Cédric Boucherie
- Université Catholique de Louvain, Institute of Neuroscience, Developmental Neurobiology, Avenue Mounier 73, Box B1.73.16, Brussels, Belgium
| | - Maisa Alkailani
- Hamad Bin Khalifa University, College of Health and Life Sciences, Doha, Qatar
| | - Yves Jossin
- Université Catholique de Louvain, Institute of Neuroscience, Developmental Neurobiology, Avenue Mounier 73, Box B1.73.16, Brussels, Belgium
| | - Nuria Ruiz-Reig
- Université Catholique de Louvain, Institute of Neuroscience, Developmental Neurobiology, Avenue Mounier 73, Box B1.73.16, Brussels, Belgium
| | - Asma Mahdi
- Hamad Bin Khalifa University, College of Health and Life Sciences, Doha, Qatar
| | - Arwa Aldaalis
- Hamad Bin Khalifa University, College of Health and Life Sciences, Doha, Qatar
| | - Mohamed Aittaleb
- Hamad Bin Khalifa University, College of Health and Life Sciences, Doha, Qatar
| | - Fadel Tissir
- Université Catholique de Louvain, Institute of Neuroscience, Developmental Neurobiology, Avenue Mounier 73, Box B1.73.16, Brussels, Belgium; Hamad Bin Khalifa University, College of Health and Life Sciences, Doha, Qatar.
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Yadav R, Patel B. Insights on effects of Wnt pathway modulation on insulin signaling and glucose homeostasis for the treatment of type 2 diabetes mellitus: Wnt activation or Wnt inhibition? Int J Biol Macromol 2024; 261:129634. [PMID: 38272413 DOI: 10.1016/j.ijbiomac.2024.129634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/27/2023] [Accepted: 01/06/2024] [Indexed: 01/27/2024]
Abstract
Type 2 diabetes mellitus (T2DM) is a major worldwide chronic disease and can lead to serious diabetic complications. Despite the availability of many anti-diabetic agents in the market, they are unable to meet the long-term treatment goals. Also, they cause many side effects which justify the need for novel class of anti-diabetic drugs with newer mechanism of action. Wnt signaling is one of such novel target pathways which can be explored for metabolic disorders. Many key components of the Wnt signaling are involved in the regulation of glucose homeostasis. Polymorphism in the Transcription factor 7-like 2 (TCF7L2) gene, and mutations in the LRP5 (LDL Receptor Related Protein 5) gene lead to disturbed glucose metabolism and obesity. Despite of several years of research in this field, there is no concrete proof of concept available on whether Wnt activation or Wnt inhibition is the beneficial approach for the treatment of T2DM. Here, we have summarized the conclusions of relevant published research studies to give structured insights into possibilities to explore Wnt modulation as a novel target pathway for the treatment of T2DM. The review also highlights the present challenges and future opportunities towards the development of anti-diabetic small molecules targeting the Wnt signaling pathway.
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Affiliation(s)
- Ruchi Yadav
- Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India
| | - Bhumika Patel
- Department of Pharmaceutical Chemistry, Institute of Pharmacy, Nirma University, Ahmedabad, Gujarat 382481, India.
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Sagathia V, Patel C, Beladiya J, Patel S, Sheth D, Shah G. Tankyrase: a promising therapeutic target with pleiotropic action. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2023; 396:3363-3374. [PMID: 37338576 DOI: 10.1007/s00210-023-02576-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Accepted: 06/13/2023] [Indexed: 06/21/2023]
Abstract
Tankyrase 1 (TNKS1) and tankyrase 2 (TNKS2) enzymes belong to the poly (ADP-ribose) polymerase (PARP) family participates in process of poly-ADP-ribosylation of different target proteins which leads to ubiquitin-mediated proteasomal degradation. Tankyrases are also involved in the pathophysiology of many diseases, especially cancer. Their functions include cell cycle homeostasis (primarily in mitosis), telomere maintenance, Wnt signaling pathway regulation, and insulin signaling (particularly GLUT4 translocation). Studies have implicated that genetic changes, mutations in the tankyrase coding sequence, or up regulation and down regulation of tankyrase are reflected in the numerous disease conditions. Investigations are pursued to develop putative molecules that target tankyrase in various diseases such as cancer, obesity, osteoarthritis, fibrosis, cherubism, and diabetes, thereby providing a new therapeutic treatment option. In the present review, we described the structure and function of tankyrase along with its role in different disease conditions. Furthermore, we also presented cumulative experimental evidences of different drugs acting on tankyrase.
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Affiliation(s)
- Vrunda Sagathia
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India
| | - Chirag Patel
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India.
| | - Jayesh Beladiya
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India
| | - Sandip Patel
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India
| | - Devang Sheth
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India
| | - Gaurang Shah
- Department of Pharmacology, L. M. College of Pharmacy, Ahmedabad, 380009, Gujarat, India
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Williamson A, Norris DM, Yin X, Broadaway KA, Moxley AH, Vadlamudi S, Wilson EP, Jackson AU, Ahuja V, Andersen MK, Arzumanyan Z, Bonnycastle LL, Bornstein SR, Bretschneider MP, Buchanan TA, Chang YC, Chuang LM, Chung RH, Clausen TD, Damm P, Delgado GE, de Mello VD, Dupuis J, Dwivedi OP, Erdos MR, Fernandes Silva L, Frayling TM, Gieger C, Goodarzi MO, Guo X, Gustafsson S, Hakaste L, Hammar U, Hatem G, Herrmann S, Højlund K, Horn K, Hsueh WA, Hung YJ, Hwu CM, Jonsson A, Kårhus LL, Kleber ME, Kovacs P, Lakka TA, Lauzon M, Lee IT, Lindgren CM, Lindström J, Linneberg A, Liu CT, Luan J, Aly DM, Mathiesen E, Moissl AP, Morris AP, Narisu N, Perakakis N, Peters A, Prasad RB, Rodionov RN, Roll K, Rundsten CF, Sarnowski C, Savonen K, Scholz M, Sharma S, Stinson SE, Suleman S, Tan J, Taylor KD, Uusitupa M, Vistisen D, Witte DR, Walther R, Wu P, Xiang AH, Zethelius B, Ahlqvist E, Bergman RN, Chen YDI, Collins FS, Fall T, Florez JC, Fritsche A, Grallert H, Groop L, Hansen T, Koistinen HA, Komulainen P, Laakso M, Lind L, Loeffler M, März W, Meigs JB, Raffel LJ, Rauramaa R, Rotter JI, Schwarz PEH, Stumvoll M, et alWilliamson A, Norris DM, Yin X, Broadaway KA, Moxley AH, Vadlamudi S, Wilson EP, Jackson AU, Ahuja V, Andersen MK, Arzumanyan Z, Bonnycastle LL, Bornstein SR, Bretschneider MP, Buchanan TA, Chang YC, Chuang LM, Chung RH, Clausen TD, Damm P, Delgado GE, de Mello VD, Dupuis J, Dwivedi OP, Erdos MR, Fernandes Silva L, Frayling TM, Gieger C, Goodarzi MO, Guo X, Gustafsson S, Hakaste L, Hammar U, Hatem G, Herrmann S, Højlund K, Horn K, Hsueh WA, Hung YJ, Hwu CM, Jonsson A, Kårhus LL, Kleber ME, Kovacs P, Lakka TA, Lauzon M, Lee IT, Lindgren CM, Lindström J, Linneberg A, Liu CT, Luan J, Aly DM, Mathiesen E, Moissl AP, Morris AP, Narisu N, Perakakis N, Peters A, Prasad RB, Rodionov RN, Roll K, Rundsten CF, Sarnowski C, Savonen K, Scholz M, Sharma S, Stinson SE, Suleman S, Tan J, Taylor KD, Uusitupa M, Vistisen D, Witte DR, Walther R, Wu P, Xiang AH, Zethelius B, Ahlqvist E, Bergman RN, Chen YDI, Collins FS, Fall T, Florez JC, Fritsche A, Grallert H, Groop L, Hansen T, Koistinen HA, Komulainen P, Laakso M, Lind L, Loeffler M, März W, Meigs JB, Raffel LJ, Rauramaa R, Rotter JI, Schwarz PEH, Stumvoll M, Sundström J, Tönjes A, Tuomi T, Tuomilehto J, Wagner R, Barroso I, Walker M, Grarup N, Boehnke M, Wareham NJ, Mohlke KL, Wheeler E, O'Rahilly S, Fazakerley DJ, Langenberg C. Genome-wide association study and functional characterization identifies candidate genes for insulin-stimulated glucose uptake. Nat Genet 2023; 55:973-983. [PMID: 37291194 PMCID: PMC7614755 DOI: 10.1038/s41588-023-01408-9] [Show More Authors] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 04/26/2023] [Indexed: 06/10/2023]
Abstract
Distinct tissue-specific mechanisms mediate insulin action in fasting and postprandial states. Previous genetic studies have largely focused on insulin resistance in the fasting state, where hepatic insulin action dominates. Here we studied genetic variants influencing insulin levels measured 2 h after a glucose challenge in >55,000 participants from three ancestry groups. We identified ten new loci (P < 5 × 10-8) not previously associated with postchallenge insulin resistance, eight of which were shown to share their genetic architecture with type 2 diabetes in colocalization analyses. We investigated candidate genes at a subset of associated loci in cultured cells and identified nine candidate genes newly implicated in the expression or trafficking of GLUT4, the key glucose transporter in postprandial glucose uptake in muscle and fat. By focusing on postprandial insulin resistance, we highlighted the mechanisms of action at type 2 diabetes loci that are not adequately captured by studies of fasting glycemic traits.
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Affiliation(s)
- Alice Williamson
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
| | - Dougall M Norris
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK
| | - Xianyong Yin
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - K Alaine Broadaway
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Anne H Moxley
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | | | - Emma P Wilson
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Anne U Jackson
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Vasudha Ahuja
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Zorayr Arzumanyan
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lori L Bonnycastle
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stefan R Bornstein
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Maxi P Bretschneider
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Thomas A Buchanan
- Department of Medicine, Division of Endocrinology and Diabetes, Keck School of Medicine USC, Los Angeles, CA, USA
| | - Yi-Cheng Chang
- Graduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei City, Taiwan
- Internal Medicine, National Taiwan University Hospital, Taipei City, Taiwan
- Institute of Biomedical Sciences, Academia Sinica, Taipei City, Taiwan
| | - Lee-Ming Chuang
- Department of Internal Medicine, Division of Endocrinology and Metabolism, National Taiwan University Hospital, Taipei City, Taiwan
| | - Ren-Hua Chung
- Institute of Population Health Sciences, National Health Research Institutes, Toufen, Taiwan
| | - Tine D Clausen
- Department of Gynecology and Obstetrics, Nordsjaellands Hospital, Hillerød, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Peter Damm
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
- Department of Obstetrics, Rigshospitalet, Copenhagen, Denmark
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Vanessa D de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montréal, Quebec, Canada
| | - Om P Dwivedi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Michael R Erdos
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | | | | | - Christian Gieger
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Mark O Goodarzi
- Department of Medicine, Division of Endocrinology, Diabetes and Metabolism Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Xiuqing Guo
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Liisa Hakaste
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Ulf Hammar
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Gad Hatem
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Sandra Herrmann
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- Department of Internal Medicine III, Prevention and Care of Diabetes, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Katrin Horn
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Willa A Hsueh
- Internal Medicine, Endocrinology, Diabetes and Metabolism, The Ohio State University Wexner Medical Center, Columbus, OH, USA
| | - Yi-Jen Hung
- Institute of Preventive Medicine, National Defense Medical Center, New Taipei City, Taiwan
| | - Chii-Min Hwu
- Department of Medicine Section of Endocrinology and Metabolism, Taipei Veterans General Hospital, Taipei City, Taiwan
| | - Anna Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Line L Kårhus
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Marcus E Kleber
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Peter Kovacs
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Timo A Lakka
- Institute of Biomedicine, School of Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Marie Lauzon
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - I-Te Lee
- Department of Internal Medicine Division of Endocrinology and Metabolism, Taichung Veterans General Hospital, Taichung City, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Taipei City, Taiwan
- School of Medicine, Chung Shan Medical University, Taichung City, Taiwan
| | - Cecilia M Lindgren
- Big Data Institute Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- Wellcome Trust Centre Human Genetics, University of Oxford, Oxford, UK
- Broad Institute, Cambridge, MA, USA
| | | | - Allan Linneberg
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jian'an Luan
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Dina Mansour Aly
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Elisabeth Mathiesen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Center for Pregnant Women with Diabetes, Rigshospitalet, Copenhagen, Denmark
- Department of Endocrinology Rigshospitalet, Copenhagen, Denmark
| | - Angela P Moissl
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Institute of Nutritional Sciences, Friedrich-Schiller-University, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena, Jena, Germany
| | - Andrew P Morris
- Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Narisu Narisu
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Nikolaos Perakakis
- Department of Internal Medicine III, Metabolic and Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Annette Peters
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Rashmi B Prasad
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Roman N Rodionov
- Department of Internal Medicine III, University Center for Vascular Medicine, Medical Faculty Carl Gustav Carus, Dresden, Germany
- College of Medicine and Public Health, Flinders University and Flinders Medical Centre, Adelaide, Australia
| | - Kathryn Roll
- Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carsten F Rundsten
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Chloé Sarnowski
- Department of Epidemiology, Human Genetics and Environmental Sciences, The University of Texas Health Science Center, Houston, TX, USA
| | - Kai Savonen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Markus Scholz
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Sapna Sharma
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Food Chemistry and Molecular and Sensory Science, Technical University of Munich, Freising-Weihenstephan, München, Germany
| | - Sara E Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sufyan Suleman
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jingyi Tan
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Kent D Taylor
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Matti Uusitupa
- Department of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Dorte Vistisen
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Daniel R Witte
- Steno Diabetes Center Aarhus, Aarhus, Denmark
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Romy Walther
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- Department of Internal Medicine III, Pathobiochemistry, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Peitao Wu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Anny H Xiang
- Research and Evaluation, Division of Biostatistics, Kaiser Permanente Southern California, Pasadena, CA, USA
| | - Björn Zethelius
- Department of Public Health and Caring Sciences, Geriatrics, Uppsala University, Uppsala, Sweden
| | - Emma Ahlqvist
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Malmö, Sweden
| | - Richard N Bergman
- Diabetes and Obesity Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Yii-Der Ida Chen
- Department of Pediatrics, Genomic Outcomes, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Francis S Collins
- Center for Precision Health Research National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Tove Fall
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Jose C Florez
- Diabetes Unit and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Programs in Metabolism and Medical and Population Genetics, The Broad Institute, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Andreas Fritsche
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
| | - Harald Grallert
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - Leif Groop
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Lund, Sweden
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Heikki A Koistinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Medicine, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Minerva Foundation Institute for Medical Research, Helsinki, Finland
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Markus Loeffler
- Medical Faculty Institute for Medical Informatics, Statistics and Epidemiology, Leipzig, Germany
- LIFE Leipzig Research Center for Civilization Diseases, Medical Faculty, Leipzig, Germany
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim, Germany
| | - James B Meigs
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
- Clinical Sciences Malmö, Genomics, Diabetes and Endocrinology, Lund University, Lund, Sweden
- Department of Medicine Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Leslie J Raffel
- Department of Pediatrics, Genetic and Genomic Medicine, University of California, Irvine, CA, USA
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Peter E H Schwarz
- Helmholtz Zentrum München Paul Langerhans Institute Dresden (PLID), University Hospital and Faculty of Medicine TU Dresden, Dresden, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Department of Internal Medicine III, Prevention and Care of Diabetes, Medical Faculty Carl Gustav Carus, Dresden, Germany
| | - Michael Stumvoll
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Johan Sundström
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Anke Tönjes
- Medical Department III-Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Tiinamaija Tuomi
- Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
- Folkhälsan Research Center, Helsinki, Finland
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Robert Wagner
- Department of Internal Medicine IV, University Hospital Tübingen, Tübingen, Germany
| | - Inês Barroso
- Exeter Centre of Excellence for Diabetes Research (EXCEED), Genetics of Complex Traits, University of Exeter Medical School, University of Exeter, Exeter, UK
| | - Mark Walker
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Boehnke
- Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA.
| | - Eleanor Wheeler
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
| | - Stephen O'Rahilly
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK.
| | - Daniel J Fazakerley
- Metabolic Research Laboratories Wellcome Trust-MRC Institute of Metabolic Science, Department of Clinical Biochemistry, University of Cambridge, Cambridge, UK.
| | - Claudia Langenberg
- MRC Epidemiology Unit Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK.
- Computational Medicine, Berlin Institute of Health at Charité-Universitätsmedizin, Berlin, Germany.
- Precision Healthcare University Research Institute, Queen Mary University of London, London, UK.
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6
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Peters XQ, Agoni C, Soliman MES. Unravelling the Structural Mechanism of Action of 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione in Dual-Targeting Tankyrase 1 and 2: A Novel Avenue in Cancer Therapy. Cell Biochem Biophys 2022; 80:505-518. [PMID: 35637423 DOI: 10.1007/s12013-022-01076-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 05/21/2022] [Indexed: 11/03/2022]
Abstract
Tankyrase (TNKS) belonging to the poly(ADPribose) polymerase family, are known for their multi-functioning capabilities, and play an essential role in the Wnt β-catenin pathway and various other cellular processes. Although showing inhibitory potential at a nanomolar level, the structural dual-inhibitory mechanism of the novel TNKS inhibitor, 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione, remains unexplored. By employing advanced molecular modeling, this study provides these insights. Results of sequence alignments of binding site residues identified conserved residues; GLY1185 and ILE1224 in TNKS-1 and PHE1035 and PRO1034 in TNKS-2 as crucial mediators of the dual binding mechanism of 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione, corroborated by high per-residue energy contributions and consistent high-affinity interactions of these residues. Estimation of the binding free energy of 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione showed estimated total energy of -43.88 kcal/mol and -30.79 kcal/mol towards TNKS-1 and 2, respectively, indicating favorable analogous dual binding as previously reported. Assessment of the conformational dynamics of TNKS-1 and 2 upon the binding of 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione revealed similar structural changes characterized by increased flexibility and solvent assessible surface area of the residues inferring an analogous structural binding mechanism. Insights from this study show that peculiar, conserved residues are the driving force behind the dual inhibitory mechanism of 5-methyl-5-[4-(4-oxo-3H-quinazolin-2-yl)phenyl]imidazolidine-2,4-dione and could aid in the design of novel dual inhibitors of TNKS-1 and 2 with improved therapeutic properties.
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Affiliation(s)
- Xylia Q Peters
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa
| | - Clement Agoni
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.,West African Centre for Computational Analysis, Accra, Ghana
| | - Mahmoud E S Soliman
- Molecular Bio-computation and Drug Design Laboratory, School of Health Sciences, University of KwaZulu-Natal, Westville Campus, Durban, 4001, South Africa.
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7
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Yu M, Yang Y, Sykes M, Wang S. Small-Molecule Inhibitors of Tankyrases as Prospective Therapeutics for Cancer. J Med Chem 2022; 65:5244-5273. [PMID: 35306814 DOI: 10.1021/acs.jmedchem.1c02139] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Tankyrases are multifunctional poly(adenosine diphosphate-ribose) polymerases that regulate diverse biological processes including telomere maintenance and cellular signaling. These processes are often implicated in a number of human diseases, with cancer being the most prevalent example. Accordingly, tankyrase inhibitors have gained increasing attention as potential therapeutics. Since the discovery of XAV939 and IWR-1 as the first tankyrase inhibitors over two decades ago, tankyrase-targeted drug discovery has made significant progress. This review starts with an introduction of tankyrases, with emphasis placed on their cancer-related functions. Small-molecule inhibitors of tankyrases are subsequently delineated based on their distinct modes of binding to the enzymes. In addition to inhibitors that compete with oxidized nicotinamide adenine dinucleotide (NAD+) for binding to the catalytic domain of tankyrases, non-NAD+-competitive inhibitors are detailed. This is followed by a description of three clinically trialled tankyrase inhibitors. To conclude, some of challenges and prospects in developing tankyrase-targeted cancer therapies are discussed.
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Affiliation(s)
- Mingfeng Yu
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia 5000, Australia
| | - Yuchao Yang
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia 5000, Australia
| | - Matthew Sykes
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia 5000, Australia
| | - Shudong Wang
- Drug Discovery and Development, Clinical and Health Sciences, University of South Australia, Adelaide, South Australia 5000, Australia
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8
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Fazakerley DJ, Koumanov F, Holman GD. GLUT4 On the move. Biochem J 2022; 479:445-462. [PMID: 35147164 PMCID: PMC8883492 DOI: 10.1042/bcj20210073] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Revised: 01/11/2022] [Accepted: 01/14/2022] [Indexed: 12/16/2022]
Abstract
Insulin rapidly stimulates GLUT4 translocation and glucose transport in fat and muscle cells. Signals from the occupied insulin receptor are translated into downstream signalling changes in serine/threonine kinases within timescales of seconds, and this is followed by delivery and accumulation of the glucose transporter GLUT4 at the plasma membrane. Kinetic studies have led to realisation that there are distinct phases of this stimulation by insulin. There is a rapid initial burst of GLUT4 delivered to the cell surface from a subcellular reservoir compartment and this is followed by a steady-state level of continuing stimulation in which GLUT4 recycles through a large itinerary of subcellular locations. Here, we provide an overview of the phases of insulin stimulation of GLUT4 translocation and the molecules that are currently considered to activate these trafficking steps. Furthermore, we suggest how use of new experimental approaches together with phospho-proteomic data may help to further identify mechanisms for activation of these trafficking processes.
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Affiliation(s)
- Daniel J Fazakerley
- Metabolic Research Laboratories, Wellcome-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, U.K
| | - Francoise Koumanov
- Department for Health, Centre for Nutrition, Exercise, and Metabolism, University of Bath, Bath, Somerset BA2 7AY, U.K
| | - Geoffrey D Holman
- Department of Biology and Biochemistry, University of Bath, Bath, Somerset BA2 7AY, U.K
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9
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Lee J, Choi S, Jung D, Jung Y, Kim JH, Jung S, Lee WS. Mutational Characterization of Colorectal Cancer from Korean Patients with Targeted Sequencing. J Cancer 2022; 12:7300-7310. [PMID: 35003350 PMCID: PMC8734410 DOI: 10.7150/jca.61324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 10/09/2021] [Indexed: 11/11/2022] Open
Abstract
Purpose: Effective treatment of colorectal cancer could benefit from understanding molecular characteristics including mutation profiles of important genes. This study aimed to explore the molecular characteristics of colorectal cancer based on next generation sequencing. Methods: The mutational characteristics by targeted next generation sequencing in 172 colorectal tumor samples from Korean patients were evaluated to explore their associations with clinical features. Targeted sequencing of 375 genes was performed with an average target-depth of 800X. Results: TP53 and APC showed higher mutation frequencies from the left-sided tumors, while CTNNB1 were more frequent from the right-sided tumors. The tumor suppressor NOTCH1 and the DNA strand break repair gene PALB2 were more frequently mutated in early onset tumors. KRAS and PTEN mutations were more frequent from patients with advanced cancers by cancer antigen markers. TP53 and BRAF mutations were more frequent from patients of T3 and T4 stages, where their variant allele fractions were generally higher in T4 tumors, implying that advanced tumors have higher fraction of cancer cells with TP53 and BRAF mutations. Mutational profiles of these patients were also assessed with other clinical features. Comparison of mutational characteristics with the Caucasian subjects from independent data showed that the identified mutational characteristics are largely Korean-specific except for a few key colorectal cancer genes. Conclusion: Next generation sequencing-based targeted sequencing can provide valuable information on molecular characterization of colorectal cancer patients, and its clinically relevant information can provide benefits to better understand colorectal cancer.
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Affiliation(s)
- Jongmin Lee
- Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Republic of Korea.,Gachon Advanced Institute for Health Science and Technology, Gachon University, Incheon, Republic of Korea
| | - Sangtae Choi
- Department of Surgery, Gachon University College of Medicine Gil Medical Center, Incheon, Republic of Korea
| | - Donghae Jung
- Department of Pathology, Gachon University College of Medicine Gil Medical Center, Incheon, Republic of Korea
| | - YunJae Jung
- Gachon Advanced Institute for Health Science and Technology, Gachon University, Incheon, Republic of Korea.,Department of Microbiology, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Jung Ho Kim
- Department of Internal Medicine, Gachon University College of Medicine Gil Medical Center, Incheon, Republic of Korea
| | - Sungwon Jung
- Gachon Institute of Genome Medicine and Science, Gachon University Gil Medical Center, Incheon, Republic of Korea.,Gachon Advanced Institute for Health Science and Technology, Gachon University, Incheon, Republic of Korea.,Department of Genome Medicine and Science, Gachon University College of Medicine, Incheon, Republic of Korea
| | - Won-Suk Lee
- Department of Surgery, Gachon University College of Medicine Gil Medical Center, Incheon, Republic of Korea
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10
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PKD-dependent PARP12-catalyzed mono-ADP-ribosylation of Golgin-97 is required for E-cadherin transport from Golgi to plasma membrane. Proc Natl Acad Sci U S A 2022; 119:2026494119. [PMID: 34969853 PMCID: PMC8740581 DOI: 10.1073/pnas.2026494119] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2021] [Indexed: 11/18/2022] Open
Abstract
Adenosine diphosphate (ADP)-ribosylation is a posttranslational modification involved in key regulatory events catalyzed by ADP-ribosyltransferases (ARTs). Substrate identification and localization of the mono-ADP-ribosyltransferase PARP12 at the trans-Golgi network (TGN) hinted at the involvement of ARTs in intracellular traffic. We find that Golgin-97, a TGN protein required for the formation and transport of a specific class of basolateral cargoes (e.g., E-cadherin and vesicular stomatitis virus G protein [VSVG]), is a PARP12 substrate. PARP12 targets an acidic cluster in the Golgin-97 coiled-coil domain essential for function. Its mutation or PARP12 depletion, delays E-cadherin and VSVG export and leads to a defect in carrier fission, hence in transport, with consequent accumulation of cargoes in a trans-Golgi/Rab11-positive intermediate compartment. In contrast, PARP12 does not control the Golgin-245-dependent traffic of cargoes such as tumor necrosis factor alpha (TNFα). Thus, the transport of different basolateral proteins to the plasma membrane is differentially regulated by Golgin-97 mono-ADP-ribosylation by PARP12. This identifies a selective regulatory mechanism acting on the transport of Golgin-97- vs. Golgin-245-dependent cargoes. Of note, PARP12 enzymatic activity, and consequently Golgin-97 mono-ADP-ribosylation, depends on the activation of protein kinase D (PKD) at the TGN during traffic. PARP12 is directly phosphorylated by PKD, and this is essential to stimulate PARP12 catalytic activity. PARP12 is therefore a component of the PKD-driven regulatory cascade that selectively controls a major branch of the basolateral transport pathway. We propose that through this mechanism, PARP12 contributes to the maintenance of E-cadherin-mediated cell polarity and cell-cell junctions.
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11
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Yao E, Yang X, Huang X, Mi Y, Wu X, Fang M, Huang J, Qiu Y, Hong X, Peng L, Ren J, Huang R, Chen C, Yang L, Zhou Y, Zhuo R, Jin X, Zhao Y. Phytochemical wedelolactone reverses obesity by prompting adipose browning through SIRT1/AMPK/ PPARα pathway via targeting nicotinamide N-methyltransferase. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2022; 94:153843. [PMID: 34785414 DOI: 10.1016/j.phymed.2021.153843] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2021] [Revised: 09/06/2021] [Accepted: 10/28/2021] [Indexed: 05/27/2023]
Abstract
BACKGROUND Obesity is the cause of multiple metabolic disorders, and its incidence has been rapidly increasing worldwide. It develops when energy intake exceeds energy expenditure (EE). Wedelolactone (WDL) is a naturally isolated compound from Eclipta prostrata L. and possesses many pharmacological activities. However, little is known about the effect of WDL on obesity and EE. PURPOSE The present study aimed to investigate the effect of WDL on obesity and EE in diet-induced obese (DIO) mice and its underlying mechanism. METHODS Obese mice were induced by high fat diet. The effects of WDL on obese mice were assessed by examining body weight, fat mass, EE, glucose tolerance, and hepatic and kidney injury. 3T3-L1 cells were differentiated into mature adipocytes and incubated with WDL in vitro. Immunohistochemistry, western blotting, and real-time PCR were used to assess adipose browning. The inhibitory efficiency of WDL on nicotinamide N-methyltransferase (NNMT) was evaluated using a fluorescence assay. RESULTS WDL reduced fat mass, suppressed body weight gain, and improved obesity-related metabolic disorders in DIO mice. WDL treatment promoted adipose browning and enhanced EE in both DIO mice and 3T3-L1 cells. These effects were eliminated in AMPK antagonized or PPARα knockdown cells and in PPARα-/- mice. Furthermore, we identified the target of WDL to be NNMT, an appealing target for regulating energy metabolism. WDL inhibited NNMT with an extremely low IC50 of 0.03 µM. Inhibition of NNMT and activation of SIRT1/AMPK/PPARα explains how WDL reverses obesity by prompting adipose browning. CONCLUSION Our findings demonstrate the novel effects of WDL in promoting adipose browning, enhancing EE and attenuating obesity and uncover the underlying mechanism, which includes inhibition of NNMT and subsequently activation of SIRT1/AMPK/PPARα in response to WDL. WDL could be further developed as a therapeutic agent for treating obesity and related metabolic diseases.
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Affiliation(s)
- Enhui Yao
- School of Medicine, Xiamen University, Xiamen 361005, China;; Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Xiazhen Yang
- School of Medicine, Xiamen University, Xiamen 361005, China;; Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Xuefeng Huang
- School of Medicine, Xiamen University, Xiamen 361005, China;; Zhongshan Hospital, Xiamen University, Xiamen 361005, China
| | - Yuchen Mi
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Xiaoqian Wu
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Meijuan Fang
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Jinhua Huang
- School of Medicine, Xiamen University, Xiamen 361005, China;; Department of Cardiology, Fujian Medical University Union Hospital, Fuzhou 350000, China
| | - Yan Qiu
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Xiaoting Hong
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Lu Peng
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Jie Ren
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Rui Huang
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Caixia Chen
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Lichao Yang
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Yu Zhou
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Rengong Zhuo
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Xin Jin
- School of Medicine, Xiamen University, Xiamen 361005, China
| | - Yun Zhao
- School of Medicine, Xiamen University, Xiamen 361005, China;.
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12
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Khatun B, Kamath V, Sathyanarayana MB, Pai A, Gupta R, Malviya R. Emerging Role of Wnt/Beta-Catenin Signalling Pathways in Cancer Progression and Role of Small Molecule Tankyrase Inhibitors in Combating Multistage Cancers. CURRENT CANCER THERAPY REVIEWS 2021. [DOI: 10.2174/1573394717666210628122306] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
In the present review, an attempt has been made to summarize the development of various
Tankyrase inhibitors focussing on Wnt/beta-Catenin pathways along with other cancer targets.
The last decade witnessed a plethora of research related to the role of various genetic and epigenetic
events that are responsible for the progression of multistage cancers. As a result, the discovery of
various signalling pathways responsible for the development of different types of cancers has resulted
in the development of molecularly targeted anticancer agents. Out of the many signalling pathways,
the Wnt/beta-Catenin pathways have attracted the attention of many research groups owing
to their involvement in cell proliferation, role in apoptosis induction, cellular differentiation and also
cell migration. The abnormal activation of this pathways has been documented in a variety of tumour
cells. Another crucial factor that makes this pathway attractive to the researches is its direct
involvement with poly ADP ribose polymerases. Tankyrases are poly ADP (Adenosine Diphosphate)
ribose polymerases that have the capacity to inhibit Wnt/beta-Catenin pathways and become
an attractive target for anticancer drugs.
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Affiliation(s)
- Babli Khatun
- Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka,India
| | - Venkatesh Kamath
- Department of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka,India
| | - Muddukrishna Badamane Sathyanarayana
- Department of Pharmaceutical Quality Assurance, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka,India
| | - Aravinda Pai
- Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal-576104, Karnataka,India
| | - Ramji Gupta
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh,India
| | - Rishabha Malviya
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, Uttar Pradesh,India
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13
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Bülbül T, Baharlooie M, Safaeinejad Z, Gure AO, Ghaedi K. Hypothetical molecular interconnection between type 2 diabetes and dyslexia. BMC Neurosci 2021; 22:63. [PMID: 34674647 PMCID: PMC8529849 DOI: 10.1186/s12868-021-00666-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Accepted: 10/05/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Dyslexia is one of the most common learning disabilities, especially among children. Type 2 diabetes is a metabolic disorder that affects a large population globally, with metabolic disorders. There have been several genes that are identified as causes of Dyslexia, and in recent studies, it has been found out that some of those genes are also involved in several metabolic pathways. For several years, it has been known that type 2 diabetes causes several neurodegenerative disorders, such as Alzheimer's disease and Parkinson's disease. Furthermore, in several studies, it was suggested that type 2 diabetes also has some associations with learning disabilities. This raises the question of whether "Is there a connection between type 2 diabetes and dyslexia?". In this study, this question is elaborated by linking their developmental processes via bioinformatics analysis about these two diseases individually and collectively. RESULT The literature review for dyslexia and type two diabetes was completed. As the result of this literature review, the genes that are associated to type 2 diabetes and dyslexia were identified. The biological pathways of dyslexia, and dyslexia associated genes, type 2 diabetes, and type 2 diabetes associated genes were identified. The association of these genes, regarding to their association with pathways were analysed, and using STRING database the gene associations were analysed and identified. CONCLUSION The findings of this research included the interaction analysis via gene association, co-expression and protein-protein interaction. These findings clarified the interconnection between dyslexia and type 2 diabetes in molecular level and it will be the beginning of an answer regarding to the relationship between T2D and dyslexia. Finally, by improving the understanding this paper aims to open the way for the possible future approach to examine this hypothesis.
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Affiliation(s)
- Tuğba Bülbül
- Department of Biomedical Sciences, Faculty of Health and Life Sciences, Coventry University, Coventry, West Midlands, UK
- Department of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara, Turkey
| | - Maryam Baharlooie
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Hezar Jerib Avenue, Azadi Sq., P.O.Code 81746-73441, Isfahan, Iran
| | - Zahra Safaeinejad
- Department of Animal Biotechnology, Cell Science Research Center, Royan Institute for Biotechnology, ACECR, Isfahan, Iran
| | - Ali Osmay Gure
- Department of Medical Biology, Acibadem University, Istanbul, Turkey
- Department of Molecular Biology and Genetics, Faculty of Science, Bilkent University, Ankara, Turkey
| | - Kamran Ghaedi
- Department of Cell and Molecular Biology and Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Hezar Jerib Avenue, Azadi Sq., P.O.Code 81746-73441, Isfahan, Iran.
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14
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Batty SR, Langlais PR. Microtubules in insulin action: what's on the tube? Trends Endocrinol Metab 2021; 32:776-789. [PMID: 34462181 PMCID: PMC8446328 DOI: 10.1016/j.tem.2021.07.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/23/2021] [Accepted: 07/26/2021] [Indexed: 11/17/2022]
Abstract
Microtubules (MT) have a role in the intracellular response to insulin stimulation and subsequent glucose transport by glucose transporter 4 (GLUT4), which resides in specialized storage vesicles that travel through the cell. Before GLUT4 is inserted into the plasma membrane for glucose transport, it undergoes complex trafficking through the cell via the integration of cytoskeletal networks. In this review, we highlight the importance of MT elements in insulin action in adipocytes through a summary of MT depolymerization studies, MT-based GLUT4 movement, molecular motor proteins involved in GLUT4 trafficking, as well as MT-related phenomena in response to insulin and links between insulin action and MT-associated proteins.
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Affiliation(s)
- Skylar R Batty
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA
| | - Paul R Langlais
- Department of Medicine, Division of Endocrinology, University of Arizona College of Medicine, Tucson, AZ, USA.
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15
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Ma Y, Zhang P, Zhang Q, Wang X, Miao Q, Lyu X, Cui B, Ma H. Dihydroartemisinin suppresses proliferation, migration, the Wnt/β-catenin pathway and EMT via TNKS in gastric cancer. Oncol Lett 2021; 22:688. [PMID: 34457043 PMCID: PMC8358739 DOI: 10.3892/ol.2021.12949] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 05/11/2021] [Indexed: 12/11/2022] Open
Abstract
Gastric cancer is a common malignancy worldwide. However, the molecular mechanisms underlying this malignancy remain unclear and there are a lack of effective drugs. The present study aimed to investigate the antitumor effect of Dihydroartemisinin (DHA) or inhibition of Tankyrases (TNKS), and determine the underlying molecular mechanisms of gastric cancer. Immunohistochemistry and immunofluorescence analyses were performed to detect the expression levels of TNKS, epithelial-to-mesenchymal transition (EMT) and Wnt/β-catenin pathway-related proteins in gastric cancer tissues and adjacent normal tissues. The Cell Counting Kit-8 assay was performed to assess the viability of HGC-27 and AGS cells following treatment with different concentrations of HLY78 (a Wnt activator) or DHA. Following treatment with HLY78, DHA or small interfering (si)-TNKS1/si-TNKS2, colony formation and migratory abilities were assessed via the colony formation, wound healing and Transwell assays. Furthermore, western blot and immunofluorescence analyses were performed to detect the expression levels of TNKS, EMT- and Wnt/β-catenin-related proteins. The results demonstrated that the expression levels of TNKS, AXI2, β-catenin, N-cadherin and Vimentin were upregulated, whereas E-cadherin expression was downregulated in gastric cancer tissues compared with normal tissues. Furthermore, HLY78 and DHA suppressed the viability of HGC-27 and AGS cells, in a concentration-independent manner. Notably, TNKS knockdown or treatment with DHA suppressed colony formation, migration, TNKS expression, EMT and the Wnt/β-catenin pathway. Opposing effects were observed following treatment with HLY78, which were ameliorated following co-treatment with DHA. Taken together, these results suggest that DHA or inhibition of TNKS can suppress the proliferation and migration of gastric cancer cells, which is partly associated with inactivation of the Wnt/β-catenin pathway and EMT process.
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Affiliation(s)
- Yanmei Ma
- Department of Pathology, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Peng Zhang
- Department of Pathology, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Qilong Zhang
- Department of Geriatrics, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Xiaofei Wang
- Department of Pathology, North China University of Science and Technology Affiliated Hospital, Tangshan, Hebei 063000, P.R. China
| | - Qiong Miao
- Department of Orthopedics, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Xiaolan Lyu
- Department of Pathology, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Bo Cui
- Department of Pathology, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
| | - Honghong Ma
- Department of Geriatrics, The First Hospital of Yulin, Yulin, Shaanxi 719000, P.R. China
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Li J, Knudsen JR, Henriquez-Olguin C, Li Z, Birk JB, Persson KW, Hellsten Y, Offergeld A, Jarassier W, Le Grand F, Schjerling P, Wojtaszewski JFP, Jensen TE. AXIN1 knockout does not alter AMPK/mTORC1 regulation and glucose metabolism in mouse skeletal muscle. J Physiol 2021; 599:3081-3100. [PMID: 33913171 DOI: 10.1113/jp281187] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Accepted: 04/20/2021] [Indexed: 01/15/2023] Open
Abstract
KEY POINTS Tamoxifen-inducible skeletal muscle-specific AXIN1 knockout (AXIN1 imKO) in mouse does not affect whole-body energy substrate metabolism. AXIN1 imKO does not affect AICAR or insulin-stimulated glucose uptake in adult skeletal muscle. AXIN1 imKO does not affect adult skeletal muscle AMPK or mTORC1 signalling during AICAR/insulin/amino acid incubation, contraction and exercise. During exercise, α2/β2/γ3AMPK and AMP/ATP ratio show greater increases in AXIN1 imKO than wild-type in gastrocnemius muscle. ABSTRACT AXIN1 is a scaffold protein known to interact with >20 proteins in signal transduction pathways regulating cellular development and function. Recently, AXIN1 was proposed to assemble a protein complex essential to catabolic-anabolic transition by coordinating AMPK activation and inactivation of mTORC1 and to regulate glucose uptake-stimulation by both AMPK and insulin. To investigate whether AXIN1 is permissive for adult skeletal muscle function, a phenotypic in vivo and ex vivo characterization of tamoxifen-inducible skeletal muscle-specific AXIN1 knockout (AXIN1 imKO) mice was conducted. AXIN1 imKO did not influence AMPK/mTORC1 signalling or glucose uptake stimulation at rest or in response to different exercise/contraction protocols, pharmacological AMPK activation, insulin or amino acids stimulation. The only genotypic difference observed was in exercising gastrocnemius muscle, where AXIN1 imKO displayed elevated α2/β2/γ3 AMPK activity and AMP/ATP ratio compared to wild-type mice. Our work shows that AXIN1 imKO generally does not affect skeletal muscle AMPK/mTORC1 signalling and glucose metabolism, probably due to functional redundancy of its homologue AXIN2.
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Affiliation(s)
- Jingwen Li
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jonas R Knudsen
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.,Microsystems Laboratory 2, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Carlos Henriquez-Olguin
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Zhencheng Li
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Jesper B Birk
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Kaspar W Persson
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Ylva Hellsten
- Section for Integrative Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Anika Offergeld
- School of Bioscience, Cardiff University, Cardiff, CF10 3AX, UK
| | - William Jarassier
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Lyon, 69008, France
| | - Fabien Le Grand
- Institut NeuroMyoGène, Université Claude Bernard Lyon 1, CNRS UMR 5310, INSERM U1217, Lyon, 69008, France
| | - Peter Schjerling
- Institute of Sports Medicine Copenhagen, Department of Orthopedic Surgery M, Bispebjerg Hospital, Copenhagen, Denmark
| | - Jørgen F P Wojtaszewski
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
| | - Thomas E Jensen
- Section for Molecular Physiology, Department of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark
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Damale MG, Pathan SK, Shinde DB, Patil RH, Arote RB, Sangshetti JN. Insights of tankyrases: A novel target for drug discovery. Eur J Med Chem 2020; 207:112712. [PMID: 32877803 DOI: 10.1016/j.ejmech.2020.112712] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 07/29/2020] [Accepted: 07/30/2020] [Indexed: 12/24/2022]
Abstract
Tankyrases are the group of enzymes belonging to a class of Poly (ADP-ribose) polymerase (PARP) recently named ADP-ribosyltransferase (ARTD). The two isoforms of tankyrase i.e. tankyrase1 (TNKS1) and tankyrase2 (TNKS2) were abundantly expressed in various biological functions in telomere regulation, Wnt/β-catenin signaling pathway, viral replication, endogenous hormone regulation, glucose transport, cherubism disease, erectile dysfunction, and apoptosis. The structural analysis, mechanistic information, in vitro and in vivo studies led identification and development of several classes of tankyrase inhibitors under clinical phases. In the nutshell, this review will drive future research on tankyrase as it enlighten the structural and functional features of TNKS 1 and TNKS 2, different classes of inhibitors with their structure-activity relationship studies, molecular modeling studies, as well as past, current and future perspective of the different class of tankyrase inhibitors.
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Affiliation(s)
- Manoj G Damale
- Department of Pharmaceutical Medicinal Chemistry, Srinath College of Pharmacy, Aurangabad, 431136, MS, India
| | - Shahebaaz K Pathan
- Y.B. Chavan College of Pharmacy, Dr. Rafiq Zakaria Campus, Rauza Baugh, Aurangabad, MS, 431001, India
| | | | - Rajendra H Patil
- Department of Biotechnology, Savitribai Phule Pune University, Pune, 411007, M.S, India
| | - Rohidas B Arote
- Department of Molecular Genetics, School of Dentistry, Seoul National University, Seoul, Republic of Korea
| | - Jaiprakash N Sangshetti
- Y.B. Chavan College of Pharmacy, Dr. Rafiq Zakaria Campus, Rauza Baugh, Aurangabad, MS, 431001, India.
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Building GLUT4 Vesicles: CHC22 Clathrin's Human Touch. Trends Cell Biol 2020; 30:705-719. [PMID: 32620516 DOI: 10.1016/j.tcb.2020.05.007] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Revised: 05/24/2020] [Accepted: 05/27/2020] [Indexed: 12/18/2022]
Abstract
Insulin stimulates glucose transport by triggering regulated delivery of intracellular vesicles containing the GLUT4 glucose transporter to the plasma membrane. This process is defective in diseases such as type 2 diabetes (T2DM). While studies in rodent cells have been invaluable in understanding GLUT4 traffic, evolutionary plasticity must be considered when extrapolating these findings to humans. Recent work has identified species-specific distinctions in GLUT4 traffic, notably the participation of a novel clathrin isoform, CHC22, in humans but not rodents. Here, we discuss GLUT4 sorting in different species and how studies of CHC22 have identified new routes for GLUT4 trafficking. We further consider how different sorting-protein complexes relate to these routes and discuss other implications of these pathways in cell biology and disease.
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Zimmerlin L, Zambidis ET. Pleiotropic roles of tankyrase/PARP proteins in the establishment and maintenance of human naïve pluripotency. Exp Cell Res 2020; 390:111935. [PMID: 32151493 PMCID: PMC7171895 DOI: 10.1016/j.yexcr.2020.111935] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 02/25/2020] [Accepted: 02/29/2020] [Indexed: 12/19/2022]
Abstract
Tankyrase 1 (TNKS1; PARP-5a) and Tankyrase 2 (TNKS2; PARP-5b) are poly-ADP-ribosyl-polymerase (PARP)-domain-containing proteins that regulate the activities of a wide repertoire of target proteins via post-translational addition of poly-ADP-ribose polymers (PARylation). Although tankyrases were first identified as regulators of human telomere elongation, important and expansive roles of tankyrase activity have recently emerged in the development and maintenance of stem cell states. Herein, we summarize the current state of knowledge of the various tankyrase-mediated activities that may promote human naïve and 'extended' pluripotency'. We review the putative role of tankyrase and PARP inhibition in trophectoderm specification, telomere elongation, DNA repair and chromosomal segregation, metabolism, and PTEN-mediated apoptosis. Importantly, tankyrases possess PARP-independent activities that include regulation of MDC1-associated DNA repair by homologous recombination (HR) and autophagy/pexophagy, which is an essential mechanism of protein synthesis in the preimplantation embryo. Additionally, tankyrases auto-regulate themselves via auto-PARylation which augments their cellular protein levels and potentiates their non-PARP tankyrase functions. We propose that these non-PARP-related activities of tankyrase proteins may further independently affect both naïve and extended pluripotency via mechanisms that remain undetermined. We broadly outline a hypothetical framework for how inclusion of a tankyrase/PARP inhibitor in small molecule cocktails may stabilize and potentiate naïve and extended pluripotency via pleiotropic routes and mechanisms.
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Affiliation(s)
- Ludovic Zimmerlin
- Institute for Cell Engineering, And Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, 733 N. Broadway, Miller Research Building, Room 755, Baltimore, MD, 21205, United States.
| | - Elias T Zambidis
- Institute for Cell Engineering, And Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University School of Medicine, 733 N. Broadway, Miller Research Building, Room 755, Baltimore, MD, 21205, United States.
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21
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Yue Y, Zhang C, Zhang X, Zhang S, Liu Q, Hu F, Lv X, Li H, Yang J, Wang X, Chen L, Yao Z, Duan H, Niu W. An AMPK/Axin1-Rac1 signaling pathway mediates contraction-regulated glucose uptake in skeletal muscle cells. Am J Physiol Endocrinol Metab 2020; 318:E330-E342. [PMID: 31846370 DOI: 10.1152/ajpendo.00272.2019] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Contraction stimulates skeletal muscle glucose uptake predominantly through activation of AMP-activated protein kinase (AMPK) and Rac1. However, the molecular details of how contraction activates these signaling proteins are not clear. Recently, Axin1 has been shown to form a complex with AMPK and liver kinase B1 during glucose starvation-dependent activation of AMPK. Here, we demonstrate that electrical pulse-stimulated (EPS) contraction of C2C12 myotubes or treadmill exercise of C57BL/6 mice enhanced reciprocal coimmunoprecipitation of Axin1 and AMPK from myotube lysates or gastrocnemius muscle tissue. Interestingly, EPS or exercise upregulated total cellular Axin1 levels in an AMPK-dependent manner in C2C12 myotubes and gastrocnemius mouse muscle, respectively. Also, direct activation of AMPK with 5-aminoimidazole-4-carboxamide ribonucleotide treatment of C2C12 myotubes or gastrocnemius muscle elevated Axin1 protein levels. On the other hand, siRNA-mediated Axin1 knockdown lessened activation of AMPK in contracted myotubes. Further, AMPK inhibition with compound C or siRNA-mediated knockdown of AMPK or Axin1 blocked contraction-induced GTP loading of Rac1, p21-activated kinase phosphorylation, and contraction-stimulated glucose uptake. In summary, our results suggest that an AMPK/Axin1-Rac1 signaling pathway mediates contraction-stimulated skeletal muscle glucose uptake.
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Affiliation(s)
- Yingying Yue
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Chang Zhang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
- School of Pharmacy, Research Center of Basic Medical Science, Tianjin Medical University, Tianjin, China
| | - Xuejiao Zhang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Shitian Zhang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Qian Liu
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Fang Hu
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Xiaoting Lv
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Hanqi Li
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Jianming Yang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Xinli Wang
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Liming Chen
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Zhi Yao
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
| | - Hongquan Duan
- School of Pharmacy, Research Center of Basic Medical Science, Tianjin Medical University, Tianjin, China
| | - Wenyan Niu
- Department of Immunology, Key Laboratory of Immune Microenvironment and Disease, Ministry of Education, Tianjin Medical University, Tianjin, China
- NHC Key Laboratory of Hormones and Development, Tianjin Medical University, Tianjin, China
- Tianjin Key Laboratory of Metabolic Diseases, Tianjin Medical University Chu Hsien-I Memorial Hospital and Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, China
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Eisemann T, Pascal JM. Poly(ADP-ribose) polymerase enzymes and the maintenance of genome integrity. Cell Mol Life Sci 2020; 77:19-33. [PMID: 31754726 PMCID: PMC11104942 DOI: 10.1007/s00018-019-03366-0] [Citation(s) in RCA: 73] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 10/11/2019] [Accepted: 10/31/2019] [Indexed: 01/15/2023]
Abstract
DNA damage response (DDR) relies on swift and accurate signaling to rapidly identify DNA lesions and initiate repair. A critical DDR signaling and regulatory molecule is the posttranslational modification poly(ADP-ribose) (PAR). PAR is synthesized by a family of structurally and functionally diverse proteins called poly(ADP-ribose) polymerases (PARPs). Although PARPs share a conserved catalytic domain, unique regulatory domains of individual family members endow PARPs with unique properties and cellular functions. Family members PARP-1, PARP-2, and PARP-3 (DDR-PARPs) are catalytically activated in the presence of damaged DNA and act as damage sensors. Family members tankyrase-1 and closely related tankyrase-2 possess SAM and ankyrin repeat domains that regulate their diverse cellular functions. Recent studies have shown that the tankyrases share some overlapping functions with the DDR-PARPs, and even perform novel functions that help preserve genomic integrity. In this review, we briefly touch on DDR-PARP functions, and focus on the emerging roles of tankyrases in genome maintenance. Preservation of genomic integrity thus appears to be a common function of several PARP family members, depicting PAR as a multifaceted guardian of the genome.
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Affiliation(s)
- Travis Eisemann
- Department of Biochemistry and Molecular Biology, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - John M Pascal
- Department of Biochemistry and Molecular Medicine, Université de Montréal, Montréal, QC, Canada.
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23
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Li P, Huang P, Li X, Yin D, Ma Z, Wang H, Song H. Tankyrase Mediates K63-Linked Ubiquitination of JNK to Confer Stress Tolerance and Influence Lifespan in Drosophila. Cell Rep 2019; 25:437-448. [PMID: 30304683 DOI: 10.1016/j.celrep.2018.09.036] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Revised: 07/18/2018] [Accepted: 09/12/2018] [Indexed: 01/25/2023] Open
Abstract
Tankyrase (Tnks) transfers poly(ADP-ribose) on substrates. Whereas studies have highlighted the pivotal roles of Tnks in cancer, cherubism, systemic sclerosis, and viral infection, the requirement for Tnks under physiological contexts remains unclear. Here, we report that the loss of Tnks or its muscle-specific knockdown impairs lifespan, stress tolerance, and energy homeostasis in adult Drosophila. We find that Tnks is a positive regulator in the JNK signaling pathway, and modest alterations in the activity of JNK signaling can strengthen or suppress the Tnks mutant phenotypes. We further identify JNK as a direct substrate of Tnks. Although Tnks-dependent poly-ADP-ribosylation is tightly coupled to proteolysis in the proteasome, we demonstrate that Tnks initiates degradation-independent ubiquitination on two lysine residues of JNK to promote its kinase activity and in vivo functions. Our study uncovers a type of posttranslational modification of Tnks substrates and provides insights into Tnks-mediated physiological roles.
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Affiliation(s)
- Ping Li
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Ping Huang
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xiaojiao Li
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Dingzi Yin
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhiwei Ma
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hui Wang
- School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Haiyun Song
- Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China; School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
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Vasopressin inactivation: Role of insulin-regulated aminopeptidase. VITAMINS AND HORMONES 2019; 113:101-128. [PMID: 32138946 DOI: 10.1016/bs.vh.2019.08.017] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The physiological importance of vasopressin inactivation has long been appreciated, but the mechanisms and potential pathophysiologic roles of this process remain active subjects of research. Human Placental Leucine Aminopeptidase (P-LAP, encoded by the LNPEP gene) is an important determinant of vasopressinase activity during pregnancy and is associated with gestational diabetes insipidus and preeclampsia. Insulin-Regulated Aminopeptidase (IRAP), the rodent homologue of P-LAP, is coregulated with the insulin-responsive glucose transporter, GLUT4, in adipose and muscle cells. Recently, the Tether containing a UBX domain for GLUT4 (TUG) protein was shown to mediate the coordinated regulation of water and glucose homeostasis. TUG sequesters IRAP and GLUT4 intracellularly in the absence of insulin. Insulin and other stimuli cause the proteolytic cleavage of TUG to mobilize these proteins to the cell surface, where IRAP acts to terminate the activity of circulating vasopressin. Intriguingly, genetic variation in LNPEP is associated with the vasopressin response and mortality during sepsis, and increased copeptin, a marker of vasopressin secretion, is associated with cardiovascular and metabolic disease. We propose that in the setting of insulin resistance in muscle, increased cell-surface IRAP and accelerated vasopressin degradation cause a compensatory increase in vasopressin secretion. The increased vasopressin concentrations present at the kidneys then contribute to hypertension in the metabolic syndrome. Further analyses of metabolism and of vasopressin and copeptin may yield novel insights into a unified pathophysiologic mechanism linking insulin resistance and hypertension, and potentially other components of the metabolic syndrome, in humans.
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Axin Family of Scaffolding Proteins in Development: Lessons from C. elegans. J Dev Biol 2019; 7:jdb7040020. [PMID: 31618970 PMCID: PMC6956378 DOI: 10.3390/jdb7040020] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 10/07/2019] [Accepted: 10/11/2019] [Indexed: 12/21/2022] Open
Abstract
Scaffold proteins serve important roles in cellular signaling by integrating inputs from multiple signaling molecules to regulate downstream effectors that, in turn, carry out specific biological functions. One such protein, Axin, represents a major evolutionarily conserved scaffold protein in metazoans that participates in the WNT pathway and other pathways to regulate diverse cellular processes. This review summarizes the vast amount of literature on the regulation and functions of the Axin family of genes in eukaryotes, with a specific focus on Caenorhabditis elegans development. By combining early studies with recent findings, the review is aimed to serve as an updated reference for the roles of Axin in C. elegans and other model systems.
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Tian L, Shao W, Ip W, Song Z, Badakhshi Y, Jin T. The developmental Wnt signaling pathway effector β-catenin/TCF mediates hepatic functions of the sex hormone estradiol in regulating lipid metabolism. PLoS Biol 2019; 17:e3000444. [PMID: 31589598 PMCID: PMC6797220 DOI: 10.1371/journal.pbio.3000444] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 10/17/2019] [Accepted: 09/10/2019] [Indexed: 12/11/2022] Open
Abstract
The bipartite transcription factor β-catenin (β-cat)/T cell factor (TCF), formed by free β-cat and a given TCF family member, serves as the effector of the developmental Wnt signaling cascade. β-cat/TCFs also serve as effectors of certain peptide hormones or growth factors during adulthood. We reported that liver-specific expression of dominant-negative Transcription factor 7 like 2 (TCF7L2DN) led to impaired glucose disposal. Here we show that, in this LTCFDN transgenic mouse model, serum and hepatic lipid contents were elevated in male but not in female mice. In hepatocytes, TCF7L2DN adenovirus infection led to stimulated expression of genes that encode lipogenic transcription factors and lipogenic enzymes, while estradiol (E2) treatment attenuated the stimulation, associated with Wnt-target gene activation. Mechanistically, this E2-mediated activation can be attributed to elevated β-cat Ser675 phosphorylation and TCF expression. In wild-type female mice, ovariectomy (OVX) plus high-fat diet (HFD) challenge impaired glucose disposal and insulin tolerance, associated with increased hepatic lipogenic transcription factor sterol regulatory element-binding protein 1-c (SREBP-1c) expression. In wild-type mice with OVX, E2 reconstitution attenuated HFD-induced metabolic defects. Some of the attenuation effects, including insulin intolerance, elevated liver-weight gain, and hepatic SREBP-1c expression, were not affected by E2 reconstitution in HFD-fed LTCFDN mice with OVX. Finally, the effects of E2 in hepatocytes on β-cat/TCF activation can be attenuated by the G-protein-coupled estrogen receptor (GPER) antagonist G15. Our study thus expanded the scope of functions of the Wnt pathway effector β-cat/TCF, as it can also mediate hepatic functions of E2 during adulthood. This study also enriches our mechanistic understanding of gender differences in the risk and pathophysiology of metabolic diseases.
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Affiliation(s)
- Lili Tian
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Center, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Weijuan Shao
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Center, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Wilfred Ip
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
| | - Zhuolun Song
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Center, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Yasaman Badakhshi
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Center, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Tianru Jin
- Division of Advanced Diagnostics, Toronto General Hospital Research Institute, University Health Network, Toronto, Canada
- Department of Physiology, University of Toronto, Toronto, Canada
- Banting and Best Diabetes Center, Faculty of Medicine, University of Toronto, Toronto, Canada
- * E-mail:
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27
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Palazzo L, Mikolčević P, Mikoč A, Ahel I. ADP-ribosylation signalling and human disease. Open Biol 2019; 9:190041. [PMID: 30991935 PMCID: PMC6501648 DOI: 10.1098/rsob.190041] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2019] [Accepted: 03/22/2019] [Indexed: 02/06/2023] Open
Abstract
ADP-ribosylation (ADPr) is a reversible post-translational modification of proteins, which controls major cellular and biological processes, including DNA damage repair, cell proliferation and differentiation, metabolism, stress and immune responses. In order to maintain the cellular homeostasis, diverse ADP-ribosyl transferases and hydrolases are involved in the fine-tuning of ADPr systems. The control of ADPr network is vital, and dysregulation of enzymes involved in the regulation of ADPr signalling has been linked to a number of inherited and acquired human diseases, such as several neurological disorders and in cancer. Conversely, the therapeutic manipulation of ADPr has been shown to ameliorate several disorders in both human and animal models. These include cardiovascular, inflammatory, autoimmune and neurological disorders. Herein, we summarize the recent findings in the field of ADPr, which support the impact of this modification in human pathophysiology and highlight the curative potential of targeting ADPr for translational and molecular medicine.
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Affiliation(s)
- Luca Palazzo
- Institute of Protein Biochemistry, National Research Council, Via Pietro Castellino 111, 80131 Naples, Italy
| | - Petra Mikolčević
- Division of Molecular Biology, Ruđer Bošković Institute, Bijenička cesta 54, 10000 Zagreb, Croatia
| | - Andreja Mikoč
- Division of Molecular Biology, Ruđer Bošković Institute, Bijenička cesta 54, 10000 Zagreb, Croatia
| | - Ivan Ahel
- Sir William Dunn School of Pathology, University of Oxford, South Parks Road, OX1 3RE Oxford, UK
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28
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Sadler JBA, Lamb CA, Welburn CR, Adamson IS, Kioumourtzoglou D, Chi NW, Gould GW, Bryant NJ. The deubiquitinating enzyme USP25 binds tankyrase and regulates trafficking of the facilitative glucose transporter GLUT4 in adipocytes. Sci Rep 2019; 9:4710. [PMID: 30886164 PMCID: PMC6423145 DOI: 10.1038/s41598-019-40596-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 02/15/2019] [Indexed: 12/11/2022] Open
Abstract
Key to whole body glucose homeostasis is the ability of fat and muscle cells to sequester the facilitative glucose transporter GLUT4 in an intracellular compartment from where it can be mobilized in response to insulin. We have previously demonstrated that this process requires ubiquitination of GLUT4 while numerous other studies have identified several molecules that are also required, including the insulin-responsive aminopeptidase IRAP and its binding partner, the scaffolding protein tankyrase. In addition to binding IRAP, Tankyrase has also been shown to bind the deubiquinating enzyme USP25. Here we demonstrate that USP25 and Tankyrase interact, and colocalise with GLUT4 in insulin-sensitive cells. Furthermore depletion of USP25 from adipocytes reduces cellular levels of GLUT4 and concomitantly blunts the ability of insulin to stimulate glucose transport. Collectively, these data support our model that sorting of GLUT4 into its insulin-sensitive store involves a cycle of ubiquitination and subsequent deubiquitination.
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Affiliation(s)
- Jessica B A Sadler
- Henry Wellcome Laboratory of Cell Biology, Institute of Molecular Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Christopher A Lamb
- Henry Wellcome Laboratory of Cell Biology, Institute of Molecular Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Cassie R Welburn
- Henry Wellcome Laboratory of Cell Biology, Institute of Molecular Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | - Iain S Adamson
- Henry Wellcome Laboratory of Cell Biology, Institute of Molecular Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK
| | | | - Nai-Wen Chi
- Department of Medicine, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Gwyn W Gould
- Henry Wellcome Laboratory of Cell Biology, Institute of Molecular Cell and Systems Biology, College of Medical Veterinary and Life Sciences, University of Glasgow, Glasgow, G12 8QQ, UK.
| | - Nia J Bryant
- Department of Biology, University of York, York, YO10 4HJ, UK.
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29
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ADP-ribosylation and intracellular traffic: an emerging role for PARP enzymes. Biochem Soc Trans 2019; 47:357-370. [DOI: 10.1042/bst20180416] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2018] [Revised: 12/02/2018] [Accepted: 12/05/2018] [Indexed: 12/19/2022]
Abstract
AbstractADP-ribosylation is an ancient and reversible post-translational modification (PTM) of proteins, in which the ADP-ribose moiety is transferred from NAD+ to target proteins by members of poly-ADP-ribosyl polymerase (PARP) family. The 17 members of this family have been involved in a variety of cellular functions, where their regulatory roles are exerted through the modification of specific substrates, whose identification is crucial to fully define the contribution of this PTM. Evidence of the role of the PARPs is now available both in the context of physiological processes and of cell responses to stress or starvation. An emerging role of the PARPs is their control of intracellular transport, as it is the case for tankyrases/PARP5 and PARP12. Here, we discuss the evidence pointing at this novel aspect of PARPs-dependent cell regulation.
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30
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Zheng D, Xie W, Li L, Jiang W, Zou Y, Chiang C, Shao G, Yan K. RXXPEG motif of MERIT40 is required to maintain spindle structure and function through its interaction with Tankyrase1. Cell Biol Int 2019; 43:174-181. [DOI: 10.1002/cbin.11086] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 12/12/2018] [Indexed: 01/28/2023]
Affiliation(s)
- Duo Zheng
- Shenzhen Longhua District Central Hospital; Shenzhen 518110 China
- Guangdong Key Laboratory for Genome Stability and Disease Prevention; Shenzhen University International Cancer Center, Department of Cell Biology and Genetics, Shenzhen University Health Science Center; Shenzhen 518060 China
| | - Wangqing Xie
- Shenzhen Longhua District Central Hospital; Shenzhen 518110 China
- Guangdong Key Laboratory for Genome Stability and Disease Prevention; Shenzhen University International Cancer Center, Department of Cell Biology and Genetics, Shenzhen University Health Science Center; Shenzhen 518060 China
| | - Li Li
- Department of Cell Biology; School of Basic Medical Sciences, Peking University; Beijing 100191 China
| | - Wenqi Jiang
- Guangdong Key Laboratory for Genome Stability and Disease Prevention; Shenzhen University International Cancer Center, Department of Cell Biology and Genetics, Shenzhen University Health Science Center; Shenzhen 518060 China
| | - Yongdong Zou
- Guangdong Key Laboratory for Genome Stability and Disease Prevention; Shenzhen University International Cancer Center, Department of Cell Biology and Genetics, Shenzhen University Health Science Center; Shenzhen 518060 China
| | - Chengyao Chiang
- Guangdong Key Laboratory for Genome Stability and Disease Prevention; Shenzhen University International Cancer Center, Department of Cell Biology and Genetics, Shenzhen University Health Science Center; Shenzhen 518060 China
| | - Genze Shao
- Department of Cell Biology; School of Basic Medical Sciences, Peking University; Beijing 100191 China
| | - Kaowen Yan
- Institute for Translational Medicine; Qingdao University; Qingdao 266071 China
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31
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Kim MK. Novel insight into the function of tankyrase. Oncol Lett 2018; 16:6895-6902. [PMID: 30546421 PMCID: PMC6256358 DOI: 10.3892/ol.2018.9551] [Citation(s) in RCA: 46] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 08/31/2018] [Indexed: 01/14/2023] Open
Abstract
Tankyrases are multifunctional poly(ADP-ribose) polymerases that regulate a variety of cellular processes, including Wnt signaling, telomere maintenance and mitosis regulation. Tankyrases interact with target proteins and regulate their interactions and stability through poly(ADP-ribosyl) ation. In addition to their roles in telomere maintenance and regulation of mitosis, tankyrase proteins regulate tumor suppressors, including AXIN, phosphatase and tensin homolog and angiomotin. Therefore, tankyrases may be effective targets for cancer treatment. Tankyrase inhibitors could affect a variety of carcinogenic pathways that promote uncontrolled proliferation, including Wnt, AKT, yes-associated protein, telomere maintenance and mitosis regulation. Recently, novel aspects of the function and mechanism of tankyrases have been reported, and a number of tankyrase inhibitors have been identified. A combination of conventional chemotherapy agents with tankyrase inhibitors may have synergistic anticancer effects. Therefore, it is expected that more advanced and improved tankyrase inhibitors will be developed, enabling novel therapeutic strategies against cancer and other tankyrase-associated diseases. The present review discusses tankyrase function and the role of tankyrase inhibitors in the treatment of cancer.
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Affiliation(s)
- Mi Kyung Kim
- Department of Systems Biology, College of Life Science and Biotechnology, Yonsei University, Seoul 03722, Republic of Korea
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32
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Feng Y, Li Z, Lv L, Du A, Lin Z, Ye X, Lin Y, Lin X. Tankyrase regulates apoptosis by activating JNK signaling in Drosophila. Biochem Biophys Res Commun 2018; 503:2234-2239. [PMID: 29953853 DOI: 10.1016/j.bbrc.2018.06.143] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Accepted: 06/25/2018] [Indexed: 11/24/2022]
Abstract
Programmed cell death (PCD), or apoptosis, plays essential roles in various cellular and developmental processes, and dysregulation of apoptosis causes many diseases. Thus, regulation of apoptotic process is very important. Drosophila tankyrase (DTNKS) is an evolutionarily conserved protein with poly(ADP-ribose) polymerase activity. In mammalian cells, tankyrases (TNKSs) have been reported to regulate cell death. To determine whether DTNKS plays function in inducing apoptosis in in vivo development, we used Drosophila as a model system and generated transgenic flies expressing DTNKS. We show that ectopic expression of DTNKS promotes caspase-dependent apoptosis and knockdown of DTNKS by RNAi dramatically alleviates apoptotic defect caused by ectopic expression of pro-apoptotic protein hid or rpr in the adult eye. Moreover, our result shows that ectopic expression of DTNKS triggers the activation of c-Jun N-terminal kinase (JNK) signaling, which is required for DTNKS-mediated apoptosis. Taken together, our finding identifies the role of DTNKS in regulating apoptosis by activating JNK signaling in Drosophila.
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Affiliation(s)
- Ying Feng
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Zhenzhen Li
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Lixiu Lv
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Anle Du
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Zhiqing Lin
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Xiaolei Ye
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Yi Lin
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China
| | - Xinhua Lin
- School of Ophthalmology and Optometry and Eye Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, China; State Key Laboratory of Ophthalmology, Optometry and Visual Science, Wenzhou, Zhejiang, China; Division of Developmental Biology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, 45229, USA.
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33
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Habtemichael EN, Li DT, Alcázar-Román A, Westergaard XO, Li M, Petersen MC, Li H, DeVries SG, Li E, Julca-Zevallos O, Wolenski JS, Bogan JS. Usp25m protease regulates ubiquitin-like processing of TUG proteins to control GLUT4 glucose transporter translocation in adipocytes. J Biol Chem 2018; 293:10466-10486. [PMID: 29773651 DOI: 10.1074/jbc.ra118.003021] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 05/09/2018] [Indexed: 12/14/2022] Open
Abstract
Insulin stimulates the exocytic translocation of specialized vesicles in adipocytes, which inserts GLUT4 glucose transporters into the plasma membrane to enhance glucose uptake. Previous results support a model in which TUG (Tether containing a UBX domain for GLUT4) proteins trap these GLUT4 storage vesicles at the Golgi matrix and in which insulin triggers endoproteolytic cleavage of TUG to translocate GLUT4. Here, we identify the muscle splice form of Usp25 (Usp25m) as a protease required for insulin-stimulated TUG cleavage and GLUT4 translocation in adipocytes. Usp25m is expressed in adipocytes, binds TUG and GLUT4, dissociates from TUG-bound vesicles after insulin addition, and colocalizes with TUG and insulin-responsive cargoes in unstimulated cells. Previous results show that TUG proteolysis generates the ubiquitin-like protein, TUGUL (for TUGubiquitin-like). We now show that TUGUL modifies the kinesin motor protein, KIF5B, and that TUG proteolysis is required to load GLUT4 onto these motors. Insulin stimulates TUG proteolytic processing independently of phosphatidylinositol 3-kinase. In nonadipocytes, TUG cleavage can be reconstituted by transfection of Usp25m, but not the related Usp25a isoform, together with other proteins present on GLUT4 vesicles. In rodents with diet-induced insulin resistance, TUG proteolysis and Usp25m protein abundance are reduced in adipose tissue. These effects occur soon after dietary manipulation, prior to the attenuation of insulin signaling to Akt. Together with previous data, these results support a model whereby insulin acts through Usp25m to mediate TUG cleavage, which liberates GLUT4 storage vesicles from the Golgi matrix and activates their microtubule-based movement to the plasma membrane. This TUG proteolytic pathway for insulin action is independent of Akt and is impaired by nutritional excess.
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Affiliation(s)
| | - Don T Li
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and.,the Departments of Cell Biology and
| | - Abel Alcázar-Román
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and
| | - Xavier O Westergaard
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and
| | - Muyi Li
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and
| | - Max C Petersen
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and.,Cellular and Molecular Physiology, Yale University School of Medicine
| | - Hanbing Li
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and.,the Institute of Pharmacology, Department of Pharmaceutical Sciences, Zhejiang University of Technology, Hangzhou 310014, China
| | - Stephen G DeVries
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and
| | - Eric Li
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and
| | - Omar Julca-Zevallos
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and.,the Departments of Cell Biology and
| | - Joseph S Wolenski
- the Department of Molecular, Cellular and Developmental Biology, Yale University, New Haven, Connecticut 06520, and
| | - Jonathan S Bogan
- From the Section of Endocrinology and Metabolism, Department of Internal Medicine and .,the Departments of Cell Biology and
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34
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DaRosa PA, Klevit RE, Xu W. Structural basis for tankyrase-RNF146 interaction reveals noncanonical tankyrase-binding motifs. Protein Sci 2018; 27:1057-1067. [PMID: 29604130 DOI: 10.1002/pro.3413] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2018] [Revised: 03/25/2018] [Accepted: 03/26/2018] [Indexed: 01/31/2023]
Abstract
Poly(ADP-ribosyl)ation (PARylation) catalyzed by the tankyrase enzymes (Tankyrase-1 and -2; a.k.a. PARP-5a and -5b) is involved in mitosis, telomere length regulation, GLUT-4 vesicle transport, and cell growth and differentiation. Together with the E3 ubiquitin ligase RNF146 (a.k.a. Iduna), tankyrases regulate the cellular levels of several important proteins including Axin, 3BP2, and angiomotins, which are key regulators of Wnt, Src and Hippo signaling, respectively. These tankyrase substrates are first PARylated and then ubiquitylated by RNF146, which is allosterically activated by binding to PAR polymer. Each tankyrase substrate is recognized by a tankyrase-binding motif (TBM). Here we show that RNF146 binds directly to tankyrases via motifs in its C-terminal region. Four of these RNF146 motifs represent novel, extended TBMs, that have one or two additional amino acids between the most conserved Arg and Gly residues. The individual RNF146 motifs display weak binding, but together mediate a strong multivalent interaction with the substrate-binding region of TNKS, forming a robust one-to-one complex. A crystal structure of the first RNF146 noncanonical TBM in complex with the second ankyrin repeat domain of TNKS shows how an extended motif can be accommodated in a peptide-binding groove on tankyrases. Overall, our work demonstrates the existence of a new class of extended TBMs that exist in previously uncharacterized tankyrase-binding proteins including those of IF4A1 and NELFE.
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Affiliation(s)
- Paul A DaRosa
- Department of Biochemistry, University of Washington, Seattle, Washington, 98195.,Department of Biological Structure, University of Washington, Seattle, Washington, 98195
| | - Rachel E Klevit
- Department of Biochemistry, University of Washington, Seattle, Washington, 98195
| | - Wenqing Xu
- Department of Biological Structure, University of Washington, Seattle, Washington, 98195
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Sung YJ, Winkler TW, de las Fuentes L, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Feitosa MF, Kilpeläinen TO, Richard MA, Noordam R, Aslibekyan S, Aschard H, Bartz TM, Dorajoo R, Liu Y, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Warren HR, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, Horimoto ARVR, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Kühnel B, Leander K, Lee WJ, Lin KH, 'an Luan J, McKenzie CA, Meian H, Nelson CP, Rauramaa R, Schupf N, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking D, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cabrera CP, Cade B, Caizheng Y, Campbell A, Canouil M, Chakravarti A, Chauhan G, Christensen K, Cocca M, Collins FS, Connell JM, et alSung YJ, Winkler TW, de las Fuentes L, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Feitosa MF, Kilpeläinen TO, Richard MA, Noordam R, Aslibekyan S, Aschard H, Bartz TM, Dorajoo R, Liu Y, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Warren HR, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, Horimoto ARVR, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Kühnel B, Leander K, Lee WJ, Lin KH, 'an Luan J, McKenzie CA, Meian H, Nelson CP, Rauramaa R, Schupf N, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking D, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cabrera CP, Cade B, Caizheng Y, Campbell A, Canouil M, Chakravarti A, Chauhan G, Christensen K, Cocca M, Collins FS, Connell JM, de Mutsert R, de Silva HJ, Debette S, Dörr M, Duan Q, Eaton CB, Ehret G, Evangelou E, Faul JD, Fisher VA, Forouhi NG, Franco OH, Friedlander Y, Gao H, Gigante B, Graff M, Gu CC, Gu D, Gupta P, Hagenaars SP, Harris TB, He J, Heikkinen S, Heng CK, Hirata M, Hofman A, Howard BV, Hunt S, Irvin MR, Jia Y, Joehanes R, Justice AE, Katsuya T, Kaufman J, Kerrison ND, Khor CC, Koh WP, Koistinen HA, Komulainen P, Kooperberg C, Krieger JE, Kubo M, Kuusisto J, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lewis CE, Li Y, Lim SH, Lin S, Liu CT, Liu J, Liu J, Liu K, Liu Y, Loh M, Lohman KK, Long J, Louie T, Mägi R, Mahajan A, Meitinger T, Metspalu A, Milani L, Momozawa Y, Morris AP, Mosley TH, Munson P, Murray AD, Nalls MA, Nasri U, Norris JM, North K, Ogunniyi A, Padmanabhan S, Palmas WR, Palmer ND, Pankow JS, Pedersen NL, Peters A, Peyser PA, Polasek O, Raitakari OT, Renström F, Rice TK, Ridker PM, Robino A, Robinson JG, Rose LM, Rudan I, Sabanayagam C, Salako BL, Sandow K, Schmidt CO, Schreiner PJ, Scott WR, Seshadri S, Sever P, Sitlani CM, Smith JA, Snieder H, Starr JM, Strauch K, Tang H, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, Waldenberger M, Wang L, Wang YX, Wei WB, Williams C, Wilson G, Wojczynski MK, Yao J, Yuan JM, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Chen YDI, de Faire U, Deary IJ, Esko T, Farrall M, Forrester T, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Hung YJ, Jonas JB, Kato N, Kooner JS, Laakso M, Lehtimäki T, Liang KW, Magnusson PKE, Newman AB, Oldehinkel AJ, Pereira AC, Redline S, Rettig R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Wu T, Zheng W, Kamatani Y, Laurie CC, Bouchard C, Cooper RS, Evans MK, Gudnason V, Kardia SLR, Kritchevsky SB, Levy D, O'Connell JR, Psaty BM, van Dam RM, Sims M, Arnett DK, Mook-Kanamori DO, Kelly TN, Fox ER, Hayward C, Fornage M, Rotimi CN, Province MA, van Duijn CM, Tai ES, Wong TY, Loos RJF, Reiner AP, Rotter JI, Zhu X, Bierut LJ, Gauderman WJ, Caulfield MJ, Elliott P, Rice K, Munroe PB, Morrison AC, Cupples LA, Rao DC, Chasman DI. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet 2018; 102:375-400. [PMID: 29455858 PMCID: PMC5985266 DOI: 10.1016/j.ajhg.2018.01.015] [Show More Authors] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2017] [Accepted: 01/18/2018] [Indexed: 12/18/2022] Open
Abstract
Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10-8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
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Affiliation(s)
- Yun J Sung
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.
| | - Thomas W Winkler
- Department of Genetic Epidemiology, University of Regensburg, Regensburg 93051, Germany
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University, St. Louis, MO 63110, USA
| | - Amy R Bentley
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Michael R Brown
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, TX 77030, USA
| | - Aldi T Kraja
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Karen Schwander
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Ioanna Ntalla
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK
| | - Xiuqing Guo
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA
| | - Yingchang Lu
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore 169857, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore 117597, Singapore
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore 117549, Singapore
| | - Dina Vojinovic
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Solomon K Musani
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, USA
| | - Changwei Li
- Department of Epidemiology and Biostatistics, University of Giorgia at Athens College of Public Health, Athens, GA 30602, USA
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Tuomas O Kilpeläinen
- Section of Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen 2100, Denmark; Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Melissa A Richard
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Raymond Noordam
- Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden 2300RC, the Netherlands
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Hugues Aschard
- Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA; Centre de Bioinformatique Biostatistique et Biologie Integrative (C3BI), Institut Pasteur, Paris 75015, France
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Biostatistics and Medicine, University of Washington, Seattle, WA 98101, USA
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore
| | - Yongmei Liu
- Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Alisa K Manning
- Center for Human Genetics Research, Massachusetts General Hospital, Boston, MA 02114, USA; Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Tuomo Rankinen
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Albert Vernon Smith
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Salman M Tajuddin
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Bamidele O Tayo
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL 60153, USA
| | - Helen R Warren
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Wei Zhao
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Yanhua Zhou
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Nana Matoba
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Tamar Sofer
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Maris Alver
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Marzyeh Amini
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Mathilde Boissel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille 59000, France
| | - Jin Fang Chai
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Xu Chen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Jasmin Divers
- Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Ilaria Gandin
- Department of Medical Sciences, University of Trieste, Trieste 34137, Italy
| | - Chuan Gao
- Department of Molecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Franco Giulianini
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Anuj Goel
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire OX3 9DU, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Sarah E Harris
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Medical Genetics Section, University of Edinburgh Centre for Genomic and Experimental Medicine and MRC Institute of Genetics and Molecular Medicine, The University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Fernando Pires Hartwig
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS 96020220, Brazil
| | - Andrea R V R Horimoto
- Lab Genetics and Molecular Cardiology, Department of Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Fang-Chi Hsu
- Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Anne U Jackson
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Mika Kähönen
- Department of Clinical Physiology, Faculty of Medicine and Life Sciences, University of Tampere, Tampere 33014, Finland; Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | | | - Brigitte Kühnel
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden
| | - Wen-Jane Lee
- Department of Medical Research, Taichung Veterans General Hospital, Department of Social Work, Tunghai University, Taichung 40705, Taiwan
| | - Keng-Hung Lin
- Department of Opthalmology, Taichung Veterans General Hospital, Taichung 40705, Taiwan
| | - Jian 'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Colin A McKenzie
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona JMAAW15, Jamaica
| | - He Meian
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College Huazhong University of Science and Technology, Wuhan, China
| | - Christopher P Nelson
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Nicole Schupf
- Taub Institute for Research on Alzheimer disease and the Aging Brain, Department of Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Wayne H H Sheu
- Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung 40705, Taiwan; School of Medicine, National Yang-ming University, Taipei, Taiwan; School of Medicine, National Defense Medical Center, Taipei, Taiwan; Institute of Medical Technology, National Chung-Hsing University, Taichung 40705, Taiwan
| | - Alena Stančáková
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio 70210, Finland
| | - Fumihiko Takeuchi
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 1628655, Japan
| | - Peter J van der Most
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Tibor V Varga
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Skåne 205 02, Sweden
| | - Heming Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Yajuan Wang
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Erin B Ware
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA; Institute for Social Research, Research Center for Group Dynamics, University of Michigan, Ann Arbor, MI 48104, USA
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz Arndt University Greifswald, Greifswald 17487, Germany; DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald 17475, Germany
| | - Wanqing Wen
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Lisa R Yanek
- General Internal Medicine, GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK
| | - Jing Hua Zhao
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Saima Afaq
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Tamuno Alfred
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Dan Arking
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tin Aung
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore 169857, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore 117597, Singapore
| | - R Graham Barr
- Departments of Medicine and Epidemiology, Columbia University Medical Center, New York, NY 10032, USA
| | - Lawrence F Bielak
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Eric Boerwinkle
- Human Genetics Center, The University of Texas School of Public Health, Houston, TX 77030, USA; Institute of Molecular Medicine, The University of Texas Health Science Center, Houston, TX 77030, USA
| | - Erwin P Bottinger
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA
| | - Peter S Braund
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA 98101, USA
| | - Ulrich Broeckel
- Section of Genomic Pediatrics, Department of Pediatrics, Medicine and Physiology, Medical College of Wisconsin, Milwaukee, WI 53226, USA
| | - Claudia P Cabrera
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Brian Cade
- Sleep Medicine and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Yu Caizheng
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College Huazhong University of Science and Technology, Wuhan, China
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Mickaël Canouil
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille 59000, France
| | - Aravinda Chakravarti
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Ganesh Chauhan
- Centre for Brain Research, Indian Institute of Schience, Bangalore 560012, India
| | - Kaare Christensen
- The Danish Aging Research Center, Institute of Public Health, University of Southern Denmark, Odense, Denmark
| | - Massimiliano Cocca
- Department of Medical Sciences, University of Trieste, Trieste 34137, Italy
| | - Francis S Collins
- Medical Genomics and Metabolic Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - John M Connell
- Ninewells Hospital & Medical School, University of Dundee, Dundee DD1 9SY, UK
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2300RC, the Netherlands
| | | | - Stephanie Debette
- Inserm U1219 Neuroepidemiology, University of Bordeaux, Bordeaux, France; Department of Neurology, University Hospital, Bordeaux, France; Boston University School of Medicine, Boston, MA 02118, USA
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald 17475, Germany; Department of Internal Medicine B, University Medicine Greifswald, Greifswald 17475, Germany
| | - Qing Duan
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Charles B Eaton
- Department of Family Medicine and Epidemiology, Alpert Medical School of Brown University, Providence, RI 02860, USA
| | - Georg Ehret
- Center for Complex Disease Genomics, McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Division of Cardiology, Department of Specialties of Medicine, Geneva University Hospital, Geneva 1211, Switzerland
| | - Evangelos Evangelou
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Hygiene and Epidemiology, University of Ioannina Medical School, Ioannina 45110, Greece
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI 48104, USA
| | - Virginia A Fisher
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Yechiel Friedlander
- Braun School of Public Health, Hebrew University-Hadassah Medical Center, Jerusalem 91120, Israel
| | - He Gao
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Bruna Gigante
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden
| | - Misa Graff
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA
| | - C Charles Gu
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Dongfeng Gu
- Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Preeti Gupta
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore
| | - Saskia P Hagenaars
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Department of Psychology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA; Department of Medicine, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Sami Heikkinen
- University of Eastern Finland, Institute of Biomedicine, Kuopio 70211, Finland
| | - Chew-Kiat Heng
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore; Khoo Teck Puat - National University Children's Medical Institute, National University Health System, Singapore 119228, Singapore
| | - Makoto Hirata
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Minato-ku 108-8639, Japan
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, MD 20782, USA; Center for Clinical and Translational Sciences and Department of Medicine, Georgetown-Howard Universities, Washington, DC 20057, USA
| | - Steven Hunt
- Cardiovascular Genetics, Department of Internal Medicine, University of Utah, Salt Lake City, UT 84108, USA; Weill Cornell Medicine in Qatar, Doha, Qatar
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294, USA
| | - Yucheng Jia
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Roby Joehanes
- Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02131, USA; Framingham Heart Study, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20982, USA
| | - Anne E Justice
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA
| | - Tomohiro Katsuya
- Department of Clinical Gene Therapy, Osaka University Graduate School of Medicine, Suita 5650871, Japan; Department of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita 5650871, Japan
| | - Joel Kaufman
- Epidemiology, Department of Occupational and Environmental Medicine Program, University of Washington, Seattle, WA 98105, USA
| | - Nicola D Kerrison
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore; Department of Biochemistry, National University of Singapore, Singapore 117596, Singapore
| | - Woon-Puay Koh
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore; Duke-NUS Medical School, Singapore 169857, Singapore
| | - Heikki A Koistinen
- Department of Health, National Institute for Health and Welfare, Helsinki 00271, Finland; Department of Medicine and Abdominal Center: Endocrinology, University of Helsinki and Helsinki University Central Hospital, Helsinki 00029, Finland
| | - Pirjo Komulainen
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio 70100, Finland
| | - Charles Kooperberg
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA 98109, USA
| | - Jose E Krieger
- Lab Genetics and Molecular Cardiology, Department of Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil
| | - Michiaki Kubo
- Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Johanna Kuusisto
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland
| | - Carl D Langefeld
- Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | | | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD 20892, USA
| | - Benjamin Lehne
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK
| | - Cora E Lewis
- Department of Medicine, University of Alabama at Birmingham, Birmingham, AL 35205, USA
| | - Yize Li
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Sing Hui Lim
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore
| | - Shiow Lin
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | - Jianjun Liu
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore 117549, Singapore; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore
| | - Jingmin Liu
- WHI CCC, Fred Hutchinson Cancer Research Center, Seattle, WA 98115, USA
| | - Kiang Liu
- Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yeheng Liu
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Translational Laboratory in Genetic Medicine, Agency for Science, Technology and Research 138648, Singapore
| | - Kurt K Lohman
- Division of Biostatistical Sciences, Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Tin Louie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Anubha Mahajan
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Institute of Human Genetics, Technische Universität München, Munich 80333, Germany
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia
| | - Yukihide Momozawa
- Laboratory for Genotyping Development, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Andrew P Morris
- Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK; Department of Biostatistics, University of Liverpool, Liverpool L69 3GL, UK
| | - Thomas H Mosley
- Geriatrics, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Peter Munson
- Mathematical and Statistical Computing Laboratory, Center for Information Technology, NIH, Bethesda, MD 20892, USA
| | - Alison D Murray
- The Institute of Medical Sciences, Aberdeen Biomedical Imaging Centre, University of Aberdeen, Aberdeen AB25 2ZD, UK
| | - Mike A Nalls
- Data Tecnica International, Glen Echo, MD 20812, USA; Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD 20892, USA
| | - Ubaydah Nasri
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO 80045, USA
| | - Kari North
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC 27514, USA
| | | | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow G12 8TA, UK
| | - Walter R Palmas
- Internal Medicine, Department of Medicine, Columbia University, New York, NY 10032, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55454, USA
| | - Nancy L Pedersen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Neuherberg 85764, Germany
| | - Patricia A Peyser
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Split, Croatia
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku 20521, Finland; Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku 20520, Finland
| | - Frida Renström
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Skåne 205 02, Sweden; Department of Biobank Research, Umeå University, Umeå, Västerbotten 901 87, Sweden
| | - Treva K Rice
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Paul M Ridker
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | | | - Jennifer G Robinson
- Department of Epidemiology and Medicine, University of Iowa, Iowa City, IA 52242, USA
| | - Lynda M Rose
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA
| | - Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore 169857, Singapore
| | | | - Kevin Sandow
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Carsten O Schmidt
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald 17475, Germany; Institute for Community Medicine, University Medicine Greifswald, Greifswald 17475, Germany
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN 55454, USA
| | - William R Scott
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Sudha Seshadri
- Framingham Heart Study, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20982, USA; Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Peter Sever
- International Centre for Circulatory Health, Imperial College London, London W2 1PG, UK
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Medicine, University of Washington, Seattle, WA 98101, USA
| | - Jennifer A Smith
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Alzheimer Scotland Dementia Research Centre, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich 81377, Germany
| | - Hua Tang
- Department of Genetics, Stanford University, Stanford, CA 94305, USA
| | - Kent D Taylor
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Yik Ying Teo
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore 117549, Singapore; Genome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore; Life Sciences Institute, National University of Singapore, Singapore, Singapore 117456, Singapore; NUS Graduate School for Integrative Science and Engineering, National University of Singapore, Singapore 117456, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore 117546, Singapore
| | - Yih Chung Tham
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Ya X Wang
- Beijing Institute of Ophthalmology, Beijing Ophthalmology and Visual Science Key Lab, Beijing Tongren Eye Center, Capital Medical University, Beijing, China 100730, China
| | - Wen Bin Wei
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China
| | - Christine Williams
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Gregory Wilson
- Jackson Heart Study, Department of Public Health, Jackson State University, Jackson, MS 39213, USA
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Jie Yao
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA; Division of Cancer Control and Population Sciences, University of Pittsburgh Cancer Institute, Pittsburgh, PA 15232, USA
| | - Alan B Zonderman
- Behavioral Epidemiology Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Diane M Becker
- General Internal Medicine, GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Michael Boehnke
- Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, MI 48109, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK
| | - Yii-Der Ida Chen
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Ulf de Faire
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm 17177, Sweden
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, The University of Edinburgh, Edinburgh EH8 9JZ, UK; Department of Psychology, The University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Tõnu Esko
- Estonian Genome Center, University of Tartu, Tartu 51010, Estonia; Broad Institute of the Massachusetts Institute of Technology and Harvard University, Boston, MA 02142, USA
| | - Martin Farrall
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire OX3 9DU, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - Terrence Forrester
- Tropical Metabolism Research Unit, Tropical Medicine Research Institute, University of the West Indies, Mona JMAAW15, Jamaica
| | - Paul W Franks
- Genetic and Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Malmö, Skåne 205 02, Sweden; Harvard T.H. Chan School of Public Health, Department of Nutrition, Harvard University, Boston, MA 02115, USA; Department of Public Health & Clinical Medicine, Umeå University, Umeå, Västerbotten 901 85, Sweden
| | - Barry I Freedman
- Division of Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Philippe Froguel
- CNRS UMR 8199, European Genomic Institute for Diabetes (EGID), Institut Pasteur de Lille, University of Lille, Lille 59000, France; Department of Genomics of Common Disease, Imperial College London, London W12 0NN, UK
| | - Paolo Gasparini
- Department of Medical Sciences, University of Trieste, Trieste 34137, Italy; Division Experimental Genetics, Sidra, Doha 26999, Qatar
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg 85764, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg 85764, Germany
| | - Bernardo Lessa Horta
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, RS 96020220, Brazil
| | - Yi-Jen Hung
- Endocrinology and Metabolism, Tri-Service General Hospital, National Defense Medical Center, Taipei City, Taipei 11490, Taiwan
| | - Jost B Jonas
- Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China; Department of Ophthalmology, Medical Faculty Mannheim, University Heidelberg, Mannheim 68167, Germany
| | - Norihiro Kato
- Department of Gene Diagnostics and Therapeutics, Research Institute, National Center for Global Health and Medicine, Tokyo 1628655, Japan
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, Middlesex UB1 3HW, UK; National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio 70210, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere 33520, Finland; Department of Clinical Chemistry, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Lifes Sciences, University of Tampere, Tampere 33014, Finland
| | - Kae-Woei Liang
- School of Medicine, National Yang-ming University, Taipei, Taiwan; Cardiovascular Center, Taichung Veterans General Hospital, Taichung 40705, Taiwan; Department of Medicine, China Medical University, Taichung 40705, Taiwan
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm 17177, Sweden
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA
| | - Albertine J Oldehinkel
- Department of Psychiatry, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Alexandre C Pereira
- Lab Genetics and Molecular Cardiology, Department of Cardiology, Heart Institute, University of Sao Paulo, Sao Paulo, Brazil; Genetics, Harvard Medical School, Boston, MA 02115, USA
| | - Susan Redline
- Sleep Medicine and Circadian Disorders, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Rainer Rettig
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald 17475, Germany; Institute of Physiology, University Medicine Greifswald, Greifswald 17495, Germany
| | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester, Leicester LE3 9QP, UK; NIHR Leicester Cardiovascular Biomedical Research Unit, Glenfield Hospital, Leicester LE3 9QP, UK
| | - James Scott
- National Heart and Lung Institute, Imperial College London, London W12 0NN, UK
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Pim van der Harst
- Department of Cardiology, University of Groningen, University Medical Center Groningen, Groningen 9700 RB, the Netherlands
| | - Lynne E Wagenknecht
- Department of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | | | - Hugh Watkins
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, Oxfordshire OX3 9DU, UK; Wellcome Centre for Human Genetics, University of Oxford, Oxford OX3 7BN, UK
| | - David R Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI 48104, USA
| | | | - Tangchun Wu
- Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College Huazhong University of Science and Technology, Wuhan, China
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Yoichiro Kamatani
- Laboratory for Statistical Analysis, Center for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Claude Bouchard
- Human Genomics Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Richard S Cooper
- Department of Public Health Sciences, Loyola University Chicago, Maywood, IL 60153, USA
| | - Michele K Evans
- Health Disparities Research Section, Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Baltimore, MD 21224, USA
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur 201, Iceland; Faculty of Medicine, University of Iceland, Reykjavik 101, Iceland
| | - Sharon L R Kardia
- School of Public Health, Department of Epidemiology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Stephen B Kritchevsky
- Sticht Center for Health Aging and Alzheimer's Prevention, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, USA
| | - Daniel Levy
- Framingham Heart Study, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20982, USA; Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD 21201, USA; Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA 98101, USA; Kaiser Permanente Washington, Health Research Institute, Seattle, WA 98101, USA
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Mario Sims
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39213, USA
| | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY 40536, USA
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden 2300RC, the Netherlands; Department of Public Health and Primary Care, Leiden University Medical Center, Leiden 2300RC, the Netherlands
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA 70112, USA
| | - Ervin R Fox
- Cardiology, Department of Medicine, University of Mississippi Medical Center, Jackson, MS 39216, USA
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, NIH, Bethesda, MD 20892, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO 63108, USA
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - E Shyong Tai
- Saw Swee Hock School of Public Health, National University Health System and National University of Singapore, Singapore, Singapore 117549, Singapore; Duke-NUS Medical School, Singapore 169857, Singapore; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Tien Yin Wong
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore, Singapore 169856, Singapore; Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore 169857, Singapore; Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore 117597, Singapore
| | - Ruth J F Loos
- Icahn School of Medicine at Mount Sinai, The Charles Bronfman Institute for Personalized Medicine, New York, NY 10029, USA; Icahn School of Medicine at Mount Sinai, The Mindich Child Health and Development Institute, New York, NY 10029, USA
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, University of Washington School of Public Health, Seattle, WA 98109, USA
| | - Jerome I Rotter
- Genomic Outcomes, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA; Genomic Outcomes, Department of Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Xiaofeng Zhu
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - W James Gauderman
- Division of Biostatistics, Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90032, USA
| | - Mark J Caulfield
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Cardiovascular Biomedical Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London EC1M 6BQ, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London W2 1PG, UK; MRC-PHE Centre for Environment and Health, Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK
| | - Kenneth Rice
- Department of Biostatistics, University of Washington, Seattle, WA 98105, USA
| | - Patricia B Munroe
- William Harvey Research Institute, Clinical Pharmacology, Queen Mary University of London, London EC1M 6BQ, UK; NIHR Barts Cardiovascular Biomedical Research Unit, Queen Mary University of London, London EC1M 6BQ, UK
| | - Alanna C Morrison
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas School of Public Health, Houston, TX 77030, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA; Framingham Heart Study, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20982, USA
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA
| | - Daniel I Chasman
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.
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Cardoso TF, Quintanilla R, Tibau J, Gil M, Mármol-Sánchez E, González-Rodríguez O, González-Prendes R, Amills M. Nutrient supply affects the mRNA expression profile of the porcine skeletal muscle. BMC Genomics 2017; 18:603. [PMID: 28797239 PMCID: PMC5553784 DOI: 10.1186/s12864-017-3986-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 08/01/2017] [Indexed: 12/28/2022] Open
Abstract
Background The genetic basis of muscle fat deposition in pigs is not well known. So far, we have only identified a limited number of genes involved in the absorption, transport, storage and catabolism of lipids. Such information is crucial to interpret, from a biological perspective, the results of genome-wide association analyses for intramuscular fat content and composition traits. Herewith, we have investigated how the ingestion of food changes gene expression in the gluteus medius muscle of Duroc pigs. Results By comparing the muscle mRNA expression of fasted pigs (T0) with that of pigs sampled 5 h (T1) and 7 h (T2) after food intake, we have detected differential expression (DE) for 148 (T0-T1), 520 (T0-T2) and 135 (T1-T2) genes (q-value <0.05 and a |FC| > of 1.5). Many of these DE genes were transcription factors, suggesting that we have detected the coordinated response of the skeletal muscle to nutrient supply. We also found DE genes with a dual role in oxidative stress and angiogenesis (THBS1, THBS2 and TXNIP), two biological processes that are probably activated in the post-prandial state. Finally, we have identified several loci playing a key role in the modulation of circadian rhythms (ARNTL, PER1, PER2, BHLHE40, NR1D1, SIK1, CIART and CRY2), a result that indicates that the porcine muscle circadian clock is modulated by nutrition. Conclusion We have shown that hundreds of genes change their expression in the porcine skeletal muscle in response to nutrient intake. Many of these loci do not have a known metabolic role, a result that suggests that our knowledge about the genetic basis of muscle energy homeostasis is still incomplete. Electronic supplementary material The online version of this article (doi:10.1186/s12864-017-3986-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tainã Figueiredo Cardoso
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.,CAPES Foundation, Ministry of Education of Brazil, Brasilia D. F., Zip Code 70.040-020, Brazil
| | - Raquel Quintanilla
- Animal Breeding and Genetics Program, Institute for Research and Technology in Food and Agriculture (IRTA), Torre Marimon, 08140, Caldes de Montbui, Spain
| | - Joan Tibau
- IRTA-Monells, Finca Camps i Armet s/n 17121, Monells, Spain
| | - Marta Gil
- IRTA-Monells, Finca Camps i Armet s/n 17121, Monells, Spain
| | - Emilio Mármol-Sánchez
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Olga González-Rodríguez
- CAPES Foundation, Ministry of Education of Brazil, Brasilia D. F., Zip Code 70.040-020, Brazil
| | - Rayner González-Prendes
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain
| | - Marcel Amills
- Department of Animal Genetics, Center for Research in Agricultural Genomics (CSIC-IRTA-UAB-UB), Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain. .,Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, 08193, Bellaterra, Spain.
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Kulyté A, Ehrlund A, Arner P, Dahlman I. Global transcriptome profiling identifies KLF15 and SLC25A10 as modifiers of adipocytes insulin sensitivity in obese women. PLoS One 2017; 12:e0178485. [PMID: 28570579 PMCID: PMC5453532 DOI: 10.1371/journal.pone.0178485] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 05/12/2017] [Indexed: 12/15/2022] Open
Abstract
Although the mechanisms linking obesity to insulin resistance (IR) and type 2 diabetes (T2D) are not entirely understood, it is likely that alterations of adipose tissue function are involved. The aim of this study was to identify new genes controlling insulin sensitivity in adipocytes from obese women with either insulin resistant (OIR) or sensitive (OIS) adipocytes. Insulin sensitivity was first determined by measuring lipogenesis in isolated adipocytes from abdominal subcutaneous white adipose tissue (WAT) in a large observational study. Lipogenesis was measured under conditions where glucose transport was the rate limiting step and reflects in vivo insulin sensitivity. We then performed microarray-based transcriptome profiling on subcutaneous WAT specimen from a subgroup of 9 lean, 21 OIS and 18 obese OIR women. We could identify 432 genes that were differentially expressed between the OIR and OIS group (FDR ≤5%). These genes are enriched in pathways related to glucose and amino acid metabolism, cellular respiration, and insulin signaling, and include genes such as SLC2A4, AKT2, as well as genes coding for enzymes in the mitochondria respiratory chain. Two IR-associated genes, KLF15 encoding a transcription factor and SLC25A10 encoding a dicarboxylate carrier, were selected for functional evaluation in adipocytes differentiated in vitro. Knockdown of KLF15 and SLC25A10 using siRNA inhibited insulin-stimulated lipogenesis in adipocytes. Transcriptome profiling of siRNA-treated cells suggested that KLF15 might control insulin sensitivity by influencing expression of PPARG, PXMP2, AQP7, LPL and genes in the mitochondrial respiratory chain. Knockdown of SLC25A10 had only modest impact on the transcriptome, suggesting that it might directly influence insulin sensitivity in adipocytes independently of transcription due to its important role in fatty acid synthesis. In summary, this study identifies novel genes associated with insulin sensitivity in adipocytes in women independently of obesity. KFL15 and SLC25A10 are inhibitors of insulin-stimulated lipogenesis under conditions when glucose transport is the rate limiting step.
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Affiliation(s)
- Agné Kulyté
- Lipid laboratory, Department of Medicine H7, Karolinska Institutet, Stockholm, Sweden
| | - Anna Ehrlund
- Lipid laboratory, Department of Medicine H7, Karolinska Institutet, Stockholm, Sweden
| | - Peter Arner
- Lipid laboratory, Department of Medicine H7, Karolinska Institutet, Stockholm, Sweden
| | - Ingrid Dahlman
- Lipid laboratory, Department of Medicine H7, Karolinska Institutet, Stockholm, Sweden
- * E-mail:
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Cui J, Pang J, Lin YJ, Gong H, Wang ZH, Li YX, Li J, Wang Z, Jiang P, Dai DP, Li J, Cai JP, Huang JD, Zhang TM. Adipose-specific deletion of Kif5b exacerbates obesity and insulin resistance in a mouse model of diet-induced obesity. FASEB J 2017; 31:2533-2547. [PMID: 28242773 DOI: 10.1096/fj.201601103r] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2016] [Accepted: 02/07/2017] [Indexed: 12/23/2022]
Abstract
Recent studies have shown that KIF5B (conventional kinesin heavy chain) mediates glucose transporter type 4 translocation and adiponectin secretion in 3T3-L1 adipocytes, suggesting an involvement of KIF5B in the homeostasis of metabolism. However, the in vivo physiologic function of KIF5B in adipose tissue remains to be determined. In this study, adipose-specific Kif5b knockout (F-K5bKO) mice were generated using the Cre-LoxP strategy. F-K5bKO mice had similar body weights to controls fed on a standard chow diet. However, F-K5bKO mice had hyperlipidemia and significant glucose intolerance and insulin resistance. Deletion of Kif5b aggravated the deleterious impact of a high-fat diet (HFD) on body weight gain, hepatosteatosis, glucose tolerance, and systematic insulin sensitivity. These changes were accompanied by impaired insulin signaling, decreased secretion of adiponectin, and increased serum levels of leptin and proinflammatory adipokines. F-K5bKO mice fed on an HFD exhibited lower energy expenditure and thermogenic dysfunction as a result of whitening of brown adipose due to decreased mitochondria biogenesis and down-regulation of key thermogenic gene expression. In conclusion, selective deletion of Kif5b in adipose tissue exacerbates HFD-induced obesity and its associated metabolic disorders, partly through a decrease in energy expenditure, dysregulation of adipokine secretion, and insulin signaling.-Cui, J., Pang, J., Lin, Y.-J., Gong, H., Wang, Z.-H., Li, Y.-X., Li, J., Wang, Z., Jiang, P., Dai, D.-P., Li, J., Cai, J.-P., Huang, J.-D., Zhang, T.-M. Adipose-specific deletion of Kif5b exacerbates obesity and insulin resistance in a mouse model of diet-induced obesity.
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Affiliation(s)
- Ju Cui
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jing Pang
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Ya-Jun Lin
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Huan Gong
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Zhen-He Wang
- School of Pharmacy, Wenzhou Medical University, Wenzhou, China
| | - Yun-Xuan Li
- School of Pharmacy, Wenzhou Medical University, Wenzhou, China
| | - Jin Li
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Zai Wang
- Institute of Clinical Medical Sciences, China-Japan Friendship Hospital, Beijing, China
| | - Ping Jiang
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Da-Peng Dai
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jian Li
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jian-Ping Cai
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China
| | - Jian-Dong Huang
- School of Biomedical Sciences, University of Hong Kong, Hong Kong, China; .,Shenzhen Institute of Research and Innovation, University of Hong Kong, Hong Kong, China.,The Centre for Synthetic Biology Engineering Research, Shenzhen Institutes of Advanced Technology, Shenzhen, China
| | - Tie-Mei Zhang
- The Ministry of Health (MOH) Key Laboratory of Geriatrics, Beijing Hospital, National Center of Gerontology, Beijing, China;
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Nathubhai A, Haikarainen T, Koivunen J, Murthy S, Koumanov F, Lloyd MD, Holman GD, Pihlajaniemi T, Tosh D, Lehtiö L, Threadgill MD. Highly Potent and Isoform Selective Dual Site Binding Tankyrase/Wnt Signaling Inhibitors That Increase Cellular Glucose Uptake and Have Antiproliferative Activity. J Med Chem 2017; 60:814-820. [PMID: 27983846 DOI: 10.1021/acs.jmedchem.6b01574] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Compounds 13 and 14 were evaluated against 11 PARP isoforms to reveal that both 13 and 14 were more potent and isoform selective toward inhibiting tankyrases (TNKSs) than the "standard" inhibitor 1 (XAV939)5, i.e., IC50 = 100 pM vs TNKS2 and IC50 = 6.5 μM vs PARP1 for 14. In cellular assays, 13 and 14 inhibited Wnt-signaling, enhanced insulin-stimulated glucose uptake, and inhibited the proliferation of DLD-1 colorectal adenocarcinoma cells to a greater extent than 1.
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Affiliation(s)
- Amit Nathubhai
- Drug and Target Discovery, Department of Pharmacy and Pharmacology, University of Bath , Claverton Down, Bath, Somerset BA2 7AY, U. K
| | - Teemu Haikarainen
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu , PO Box 5400, 90014 Oulu, Finland
| | - Jarkko Koivunen
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu , PO Box 5400, 90014 Oulu, Finland
| | - Sudarshan Murthy
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu , PO Box 5400, 90014 Oulu, Finland
| | - Françoise Koumanov
- Department of Biology and Biochemistry, University of Bath , Bath BA2 7AY, U. K
| | - Matthew D Lloyd
- Drug and Target Discovery, Department of Pharmacy and Pharmacology, University of Bath , Claverton Down, Bath, Somerset BA2 7AY, U. K
| | - Geoffrey D Holman
- Department of Biology and Biochemistry, University of Bath , Bath BA2 7AY, U. K
| | - Taina Pihlajaniemi
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu , PO Box 5400, 90014 Oulu, Finland
| | - David Tosh
- Department of Biology and Biochemistry, University of Bath , Bath BA2 7AY, U. K
| | - Lari Lehtiö
- Faculty of Biochemistry and Molecular Medicine, Biocenter Oulu, University of Oulu , PO Box 5400, 90014 Oulu, Finland
| | - Michael D Threadgill
- Drug and Target Discovery, Department of Pharmacy and Pharmacology, University of Bath , Claverton Down, Bath, Somerset BA2 7AY, U. K
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40
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Kuusela S, Wang H, Wasik AA, Suleiman H, Lehtonen S. Tankyrase inhibition aggravates kidney injury in the absence of CD2AP. Cell Death Dis 2016; 7:e2302. [PMID: 27441654 PMCID: PMC4973355 DOI: 10.1038/cddis.2016.217] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 06/10/2016] [Accepted: 06/20/2016] [Indexed: 12/16/2022]
Abstract
Inappropriate activation of the Wnt/β-catenin pathway has been indicated in podocyte dysfunction and injury, and shown to contribute to the development and progression of nephropathy. Tankyrases, multifunctional poly(ADP-ribose) polymerase (PARP) superfamily members with features of both signaling and cytoskeletal proteins, antagonize Wnt/β-catenin signaling. We found that tankyrases interact with CD2-associated protein (CD2AP), a protein essential for kidney ultrafiltration as CD2AP-knockout (CD2AP−/−) mice die of kidney failure at the age of 6–7 weeks. We further observed that tankyrase-mediated total poly-(ADP-ribosyl)ation (PARylation), a post-translational modification implicated in kidney injury, was increased in mouse kidneys and cultured podocytes in the absence of CD2AP. The data revealed increased activity of β-catenin, and upregulation of lymphoid enhancer factor 1 (LEF1) (mediator of Wnt/β-catenin pathway) and fibronectin (downstream target of Wnt/β-catenin) in CD2AP−/− podocytes. Total PARylation and active β-catenin were reduced in CD2AP−/− podocytes by tankyrase inhibitor XAV939 treatment. However, instead of ameliorating podocyte injury, XAV939 further upregulated LEF1, failed to downregulate fibronectin and induced plasminogen activator inhibitor-1 (PAI-1) that associates with podocyte injury. In zebrafish, administration of XAV939 to CD2AP-depleted larvae aggravated kidney injury and increased mortality. Collectively, the data reveal sustained activation of the Wnt/β-catenin pathway in CD2AP−/− podocytes, contributing to podocyte injury. However, we observed that inhibition of the PARylation activity of tankyrases in the absence of CD2AP was deleterious to kidney function. This indicates that balance of the PARylation activity of tankyrases, maintained by CD2AP, is essential for normal kidney function. Furthermore, the data reveal that careful contemplation is required when targeting Wnt/β-catenin pathway to treat proteinuric kidney diseases associated with impaired CD2AP.
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Affiliation(s)
- S Kuusela
- Department of Pathology, University of Helsinki, Helsinki, Finland
| | - H Wang
- Department of Pathology, University of Helsinki, Helsinki, Finland
| | - A A Wasik
- Department of Pathology, University of Helsinki, Helsinki, Finland
| | - H Suleiman
- HHMI/Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - S Lehtonen
- Department of Pathology, University of Helsinki, Helsinki, Finland
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41
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DaRosa PA, Ovchinnikov S, Xu W, Klevit RE. Structural insights into SAM domain-mediated tankyrase oligomerization. Protein Sci 2016; 25:1744-52. [PMID: 27328430 DOI: 10.1002/pro.2968] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2016] [Accepted: 06/16/2016] [Indexed: 12/28/2022]
Abstract
Tankyrase 1 (TNKS1; a.k.a. ARTD5) and tankyrase 2 (TNKS2; a.k.a ARTD6) are highly homologous poly(ADP-ribose) polymerases (PARPs) that function in a wide variety of cellular processes including Wnt signaling, Src signaling, Akt signaling, Glut4 vesicle translocation, telomere length regulation, and centriole and spindle pole maturation. Tankyrase proteins include a sterile alpha motif (SAM) domain that undergoes oligomerization in vitro and in vivo. However, the SAM domains of TNKS1 and TNKS2 have not been structurally characterized and the mode of oligomerization is not yet defined. Here we model the SAM domain-mediated oligomerization of tankyrase. The structural model, supported by mutagenesis and NMR analysis, demonstrates a helical, homotypic head-to-tail polymer that facilitates TNKS self-association. Furthermore, we show that TNKS1 and TNKS2 can form (TNKS1 SAM-TNKS2 SAM) hetero-oligomeric structures mediated by their SAM domains. Though wild-type tankyrase proteins have very low solubility, model-based mutations of the SAM oligomerization interface residues allowed us to obtain soluble TNKS proteins. These structural insights will be invaluable for the functional and biophysical characterization of TNKS1/2, including the role of TNKS oligomerization in protein poly(ADP-ribosyl)ation (PARylation) and PARylation-dependent ubiquitylation.
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Affiliation(s)
- Paul A DaRosa
- Department of Biochemistry, University of Washington, Seattle, Washington, 98195.,Department of Biological Structure, University of Washington, Seattle, Washington, 98195
| | - Sergey Ovchinnikov
- Department of Biochemistry, University of Washington, Seattle, Washington, 98195.,Howard Hughes Medical Institute, University of Washington, Seattle, Washington, 98195
| | - Wenqing Xu
- Department of Biological Structure, University of Washington, Seattle, Washington, 98195
| | - Rachel E Klevit
- Department of Biochemistry, University of Washington, Seattle, Washington, 98195
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42
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Lum L, Chen C. Chemical Disruption of Wnt-dependent Cell Fate Decision-making Mechanisms in Cancer and Regenerative Medicine. Curr Med Chem 2016; 22:4091-103. [PMID: 26310918 DOI: 10.2174/0929867322666150827094015] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2015] [Revised: 08/25/2015] [Accepted: 08/26/2015] [Indexed: 12/17/2022]
Abstract
Cell-to-cell signaling molecules such as the Wnt proteins that directly influence the expression of cell-type specific transcriptional programs are essential for tissue generation in metazoans. The mechanisms supporting cellular responses to these molecules represent potential points of intervention for directing cell fate outcomes in therapeutic contexts. Small molecules that modulate Wnt-mediated cellular responses have proven to be powerful probes for Wnt protein function in diverse biological settings including cancer, development, and regeneration. Whereas efforts to develop these chemicals as therapeutic agents have dominated conversation, the unprecedented modes-of-action associated with these molecules and their implications for drug development deserve greater examination. In this review, we will discuss how medicinal chemistry efforts focused on first in class small molecules targeting two Wnt pathway components--the polytopic Porcupine (Porcn) acyltransferase and the cytoplasmic Tankyrase (Tnks) poly-ADP-ribosylases--have contributed to our understanding of the druggable genome and expanded the armamentarium of chemicals that can be used to influence cell fate decision-making.
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Affiliation(s)
| | - C Chen
- Department of Cell Biology and Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX, 75390, USA.
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43
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Nathubhai A, Haikarainen T, Hayward PC, Muñoz-Descalzo S, Thompson AS, Lloyd MD, Lehtiö L, Threadgill MD. Structure-activity relationships of 2-arylquinazolin-4-ones as highly selective and potent inhibitors of the tankyrases. Eur J Med Chem 2016; 118:316-27. [PMID: 27163581 DOI: 10.1016/j.ejmech.2016.04.041] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2015] [Revised: 04/13/2016] [Accepted: 04/15/2016] [Indexed: 01/03/2023]
Abstract
Tankyrases (TNKSs), members of the PARP (Poly(ADP-ribose)polymerases) superfamily of enzymes, have gained interest as therapeutic drug targets, especially as they are involved in the regulation of Wnt signalling. A series of 2-arylquinazolin-4-ones with varying substituents at the 8-position was synthesised. An 8-methyl group (compared to 8-H, 8-OMe, 8-OH), together with a 4'-hydrophobic or electron-withdrawing group, provided the most potency and selectivity towards TNKSs. Co-crystal structures of selected compounds with TNKS-2 revealed that the protein around the 8-position is more hydrophobic in TNKS-2 compared to PARP-1/2, rationalising the selectivity. The NAD(+)-binding site contains a hydrophobic cavity which accommodates the 2-aryl group; in TNKS-2, this has a tunnel to the exterior but the cavity is closed in PARP-1. 8-Methyl-2-(4-trifluoromethylphenyl)quinazolin-4-one was identified as a potent and selective inhibitor of TNKSs and Wnt signalling. This compound and analogues could serve as molecular probes to study proliferative signalling and for development of inhibitors of TNKSs as drugs.
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Affiliation(s)
- Amit Nathubhai
- Medicinal Chemistry, Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK.
| | - Teemu Haikarainen
- Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland
| | - Penelope C Hayward
- Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK
| | - Silvia Muñoz-Descalzo
- Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Andrew S Thompson
- Medicinal Chemistry, Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Matthew D Lloyd
- Medicinal Chemistry, Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK
| | - Lari Lehtiö
- Biocenter Oulu and Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland
| | - Michael D Threadgill
- Medicinal Chemistry, Department of Pharmacy and Pharmacology, University of Bath, Claverton Down, Bath, BA2 7AY, UK
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Zhong L, Ding Y, Bandyopadhyay G, Waaler J, Börgeson E, Smith S, Zhang M, Phillips SA, Mahooti S, Mahata SK, Shao J, Krauss S, Chi NW. The PARsylation activity of tankyrase in adipose tissue modulates systemic glucose metabolism in mice. Diabetologia 2016; 59:582-91. [PMID: 26631215 DOI: 10.1007/s00125-015-3815-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Accepted: 10/30/2015] [Indexed: 12/29/2022]
Abstract
AIMS/HYPOTHESIS Tankyrase (TNKS) is a ubiquitously expressed molecular scaffold that is implicated in diverse processes. The catalytic activity of TNKS modifies substrate proteins through poly-ADP-ribosylation (PARsylation) and is responsive to cellular energetic state. Global deficiency of the TNKS protein in mice accelerates glucose utilisation and raises plasma adiponectin levels. The aim of this study was to investigate whether the PARsylation activity of TNKS in adipocytes plays a role in systemic glucose homeostasis. METHODS To inhibit TNKS-mediated PARsylation, we fed mice with a diet containing the TNKS-specific inhibitor G007-LK. To genetically inactivate TNKS catalysis in adipocytes while preserving its function as a molecular scaffold, we used an adipocyte-selective Cre transgene to delete TNKS exons that encoded the catalytic domain at the C-terminus. Tissue-specific insulin sensitivity in mice was investigated using hyperinsulinaemic-euglycaemic clamps. To model adipose-liver crosstalk ex vivo, we applied adipocyte-conditioned media to hepatocytes and assessed the effect on gluconeogenesis. RESULTS The TNKS inhibitor G007-LK improved glucose tolerance and insulin sensitivity and promptly increased plasma adiponectin levels. In female mice, but not in male mice, adipocyte-selective genetic inactivation of TNKS catalysis improved hepatic insulin sensitivity and post-transcriptionally increased plasma adiponectin levels. Both pharmacological and genetic TNKS inhibition in female mouse-derived adipocytes induced a change in secreted factors to decrease gluconeogenesis in primary hepatocytes. CONCLUSIONS/INTERPRETATION Systemic glucose homeostasis is regulated by the PARsylation activity of TNKS in adipocytes. This regulation is mediated in part by adipocyte-secreted factors that modulate hepatic glucose production. Pharmacological TNKS inhibition could potentially be used to improve glucose tolerance.
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Affiliation(s)
- Linlin Zhong
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
| | - Yun Ding
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
| | - Gautam Bandyopadhyay
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
| | - Jo Waaler
- Oslo University Hospital, Oslo, Norway
| | - Emma Börgeson
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
| | - Susan Smith
- New York University School of Medicine, New York, NY, USA
| | - Mingchen Zhang
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
- First Affiliated Hospital of Xinjiang Medical University, Xinjiang, People's Republic of China
| | - Susan A Phillips
- Department of Pediatrics, University of California, San Diego, CA, USA
| | - Sepi Mahooti
- Department of Pathology, University of California, San Diego, CA, USA
| | - Sushil K Mahata
- VA San Diego Healthcare System, San Diego, CA, USA
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA
| | - Jianhua Shao
- Department of Pediatrics, University of California, San Diego, CA, USA
| | | | - Nai-Wen Chi
- VA San Diego Healthcare System, San Diego, CA, USA.
- Department of Medicine, University of California, San Diego, 9500 Gilman Dr., La Jolla, CA, 92093-0673, USA.
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Martino-Echarri E, Brocardo MG, Mills KM, Henderson BR. Tankyrase Inhibitors Stimulate the Ability of Tankyrases to Bind Axin and Drive Assembly of β-Catenin Degradation-Competent Axin Puncta. PLoS One 2016; 11:e0150484. [PMID: 26930278 PMCID: PMC4773256 DOI: 10.1371/journal.pone.0150484] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2015] [Accepted: 02/15/2016] [Indexed: 01/30/2023] Open
Abstract
Activation of the wnt signaling pathway is a major cause of colon cancer development. Tankyrase inhibitors (TNKSi) have recently been developed to block the wnt pathway by increasing axin levels to promote degradation of the wnt-regulator β-catenin. TNKSi bind to the PARP (poly(ADP)ribose polymerase) catalytic region of tankyrases (TNKS), preventing the PARylation of TNKS and axin that normally control axin levels through ubiquitination and degradation. TNKSi treatment of APC-mutant SW480 colorectal cancer cells can induce axin puncta which act as sites for assembly of β-catenin degradation complexes, however this process is poorly understood. Using this model system, we found that siRNA knockdown of TNKSs 1 and 2 actually blocked the ability of TNKSi drugs to induce axin puncta, revealing that puncta formation requires both the expression and the inactivation of TNKS. Immunoprecipitation assays showed that treatment of cells with TNKSi caused a strong increase in the formation of axin-TNKS complexes, correlating with an increase in insoluble or aggregated forms of TNKS/axin. The efficacy of TNKSi was antagonized by proteasome inhibitors, which stabilized the PARylated form of TNKS1 and reduced TNKSi-mediated assembly of axin-TNKS complexes and puncta. We hypothesise that TNKSi act to stimulate TNKS oligomerization and assembly of the TNKS-axin scaffold that form puncta. These new insights may help in optimising the future application of TNKSi in anticancer drug design.
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Affiliation(s)
- Estefania Martino-Echarri
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW 2145, Sydney, Australia
| | - Mariana G. Brocardo
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW 2145, Sydney, Australia
| | - Kate M. Mills
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW 2145, Sydney, Australia
| | - Beric R. Henderson
- Centre for Cancer Research, The Westmead Institute for Medical Research, The University of Sydney, Westmead, NSW 2145, Sydney, Australia
- * E-mail:
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46
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Haikarainen T, Waaler J, Ignatev A, Nkizinkiko Y, Venkannagari H, Obaji E, Krauss S, Lehtiö L. Development and structural analysis of adenosine site binding tankyrase inhibitors. Bioorg Med Chem Lett 2016; 26:328-333. [DOI: 10.1016/j.bmcl.2015.12.018] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2015] [Revised: 12/01/2015] [Accepted: 12/07/2015] [Indexed: 01/08/2023]
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47
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Zhang P, Rayment I, Gilbert SP. Fast or Slow, Either Head Can Start the Processive Run of Kinesin-2 KIF3AC. J Biol Chem 2015; 291:4407-16. [PMID: 26710851 DOI: 10.1074/jbc.m115.705970] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2015] [Indexed: 11/06/2022] Open
Abstract
Mammalian KIF3AC contains two distinct motor polypeptides and is best known for its role in organelle transport in neurons. Our recent studies showed that KIF3AC is as processive as conventional kinesin-1, suggesting that their ATPase mechanochemistry may be similar. However, the presence of two different motor polypeptides in KIF3AC implies that there must be a cellular advantage for the KIF3AC heterodimer. The hypothesis tested was whether there is an intrinsic bias within KIF3AC such that either KIF3A or KIF3C initiates the processive run. To pursue these experiments, a mechanistic approach was used to compare the pre-steady-state kinetics of KIF3AC to the kinetics of homodimeric KIF3AA and KIF3CC. The results indicate that microtubule collision at 11.4 μM(-1) s(-1) coupled with ADP release at 78 s(-1) are fast steps for homodimeric KIF3AA. In contrast, KIF3CC exhibits much slower microtubule association at 2.1 μM(-1) s(-1) and ADP release at 8 s(-1). For KIF3AC, microtubule association at 6.6 μM(-1) s(-1) and ADP release at 51 s(-1) are intermediate between the constants for KIF3AA and KIF3CC. These results indicate that either KIF3A or KIF3C can initiate the processive run. Surprisingly, the kinetics of the initial event of microtubule collision followed by ADP release for KIF3AC is not equivalent to 1:1 mixtures of KIF3AA plus KIF3CC homodimers at the same motor concentration. These results reveal that the intermolecular communication within the KIF3AC heterodimer modulates entry into the processive run regardless of whether the run is initiated by the KIF3A or KIF3C motor domain.
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Affiliation(s)
- Pengwei Zhang
- From the Department of Biological Sciences and the Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York 12180 and
| | - Ivan Rayment
- the Department of Biochemistry, University of Wisconsin, Madison, Wisconsin 53706
| | - Susan P Gilbert
- From the Department of Biological Sciences and the Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, New York 12180 and
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Wang H, Semenova S, Kuusela S, Panula P, Lehtonen S. Tankyrases regulate glucoregulatory mechanisms and somatic growth via the central melanocortin system in zebrafish larvae. FASEB J 2015; 29:4435-48. [PMID: 26169937 DOI: 10.1096/fj.15-271817] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2015] [Accepted: 06/30/2015] [Indexed: 11/11/2022]
Abstract
The central melanocortin system is a key regulator of energy homeostasis. Recent studies indicate that tankyrases (TNKSs), which poly(ADP-ribosyl)ate target proteins and direct them toward proteasomal degradation, affect overall metabolism, but the exact molecular mechanisms remain unclear. We used zebrafish larvae as a model to study the mechanisms by which TNKS1b, the zebrafish ortholog of mammalian TNKS1, regulates glucose homeostasis and somatic growth. In situ hybridization revealed that TNKS1b mRNA is prominently expressed in the hypothalamus and pituitary of the embryonic and larval brain. In the pituitary, TNKS1b is coexpressed with pro-opiomelanocortin a (pomca) gene in corticotropes and melanotropes. Knockdown of TNKS1b reduced the linear growth of the larvae, stimulated insulin gene and glucose transporter 4 protein, and suppressed gluconeogenic phosphoenolpyruvate carboxykinase 1 gene. This result indicates rapid glucose utilization and reduction of gluconeogenesis in TNKS1b-deficient larvae. Knockdown of TNKS1b down-regulated pomca expression and diminished α-melanocyte-stimulating hormone in the pars intermedia. Furthermore, down-regulation of TNKS1b suppressed the expression of melanocortin receptor 3 and increased the expression of melanocortin receptor 4. The collective data suggest that TNKS1b modulates glucoregulatory mechanisms and the somatic growth of zebrafish larvae via the central melanocortin system.
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Affiliation(s)
- Hong Wang
- *Department of Pathology and Institute of Biomedicine, Anatomy and Neuroscience Centre, University of Helsinki, Helsinki, Finland
| | - Svetlana Semenova
- *Department of Pathology and Institute of Biomedicine, Anatomy and Neuroscience Centre, University of Helsinki, Helsinki, Finland
| | - Sara Kuusela
- *Department of Pathology and Institute of Biomedicine, Anatomy and Neuroscience Centre, University of Helsinki, Helsinki, Finland
| | - Pertti Panula
- *Department of Pathology and Institute of Biomedicine, Anatomy and Neuroscience Centre, University of Helsinki, Helsinki, Finland
| | - Sanna Lehtonen
- *Department of Pathology and Institute of Biomedicine, Anatomy and Neuroscience Centre, University of Helsinki, Helsinki, Finland
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Haikarainen T, Krauss S, Lehtio L. Tankyrases: structure, function and therapeutic implications in cancer. Curr Pharm Des 2015; 20:6472-88. [PMID: 24975604 PMCID: PMC4262938 DOI: 10.2174/1381612820666140630101525] [Citation(s) in RCA: 140] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 06/26/2014] [Indexed: 12/22/2022]
Abstract
Several cellular signaling pathways are regulated by ADP-ribosylation, a posttranslational modification catalyzed by members of the ARTD superfamily. Tankyrases are distinguishable from the rest of this family by their unique domain organization, notably the sterile alpha motif responsible for oligomerization and ankyrin repeats mediating protein-protein interactions. Tankyrases are involved in various cellular functions, such as telomere homeostasis, Wnt/β-catenin signaling, glucose metabolism, and cell cycle progression. In these processes, Tankyrases regulate the interactions and stability of target proteins by poly (ADP-ribosyl)ation. Modified proteins are subsequently recognized by the E3 ubiquitin ligase RNF146, poly-ubiquitinated and predominantly guided to 26S proteasomal degradation. Several small molecule inhibitors have been described for Tankyrases; they compete with the co-substrate NAD+ for binding to the ARTD catalytic domain. The recent, highly potent and selective inhibitors possess several properties of lead compounds and can be used for proof-of-concept studies in cancer and other Tankyrase linked diseases.
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Affiliation(s)
| | | | - Lari Lehtio
- SFI-CAST Biomedical Innovation Center, Unit for Cell Signaling, Oslo University Hospital, Forskningsparken, Gaustadalleen 21, 0349, Oslo, Norway.
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Zhong L, Yeh TYJ, Hao J, Pourtabatabaei N, Mahata SK, Shao J, Chessler SD, Chi NW. Nutritional energy stimulates NAD+ production to promote tankyrase-mediated PARsylation in insulinoma cells. PLoS One 2015; 10:e0122948. [PMID: 25876076 PMCID: PMC4395342 DOI: 10.1371/journal.pone.0122948] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2014] [Accepted: 02/16/2015] [Indexed: 02/06/2023] Open
Abstract
The poly-ADP-ribosylation (PARsylation) activity of tankyrase (TNKS) regulates diverse physiological processes including energy metabolism and wnt/β-catenin signaling. This TNKS activity uses NAD+ as a co-substrate to post-translationally modify various acceptor proteins including TNKS itself. PARsylation by TNKS often tags the acceptors for ubiquitination and proteasomal degradation. Whether this TNKS activity is regulated by physiological changes in NAD+ levels or, more broadly, in cellular energy charge has not been investigated. Because the NAD+ biosynthetic enzyme nicotinamide phosphoribosyltransferase (NAMPT) in vitro is robustly potentiated by ATP, we hypothesized that nutritional energy might stimulate cellular NAMPT to produce NAD+ and thereby augment TNKS catalysis. Using insulin-secreting cells as a model, we showed that glucose indeed stimulates the autoPARsylation of TNKS and consequently its turnover by the ubiquitin-proteasomal system. This glucose effect on TNKS is mediated primarily by NAD+ since it is mirrored by the NAD+ precursor nicotinamide mononucleotide (NMN), and is blunted by the NAMPT inhibitor FK866. The TNKS-destabilizing effect of glucose is shared by other metabolic fuels including pyruvate and amino acids. NAD+ flux analysis showed that glucose and nutrients, by increasing ATP, stimulate NAMPT-mediated NAD+ production to expand NAD+ stores. Collectively our data uncover a metabolic pathway whereby nutritional energy augments NAD+ production to drive the PARsylating activity of TNKS, leading to autoPARsylation-dependent degradation of the TNKS protein. The modulation of TNKS catalytic activity and protein abundance by cellular energy charge could potentially impose a nutritional control on the many processes that TNKS regulates through PARsylation. More broadly, the stimulation of NAD+ production by ATP suggests that nutritional energy may enhance the functions of other NAD+-driven enzymes including sirtuins.
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Affiliation(s)
- Linlin Zhong
- Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States of America
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
| | - Tsung-Yin J. Yeh
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
| | - Jun Hao
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
- Department of Pathology, Hebei Medical University, Shijiazhuang, China
| | - Nasim Pourtabatabaei
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
| | - Sushil K. Mahata
- Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States of America
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
| | - Jianhua Shao
- Department of Pediatrics, University of California San Diego, La Jolla, CA 92093, United States of America
| | - Steven D. Chessler
- Department of Medicine, University of California Irvine, Irvine, CA 92697, United States of America
| | - Nai-Wen Chi
- Research Service, VA San Diego Healthcare System, San Diego, CA 92161, United States of America
- Department of Medicine, University of California San Diego, La Jolla, CA 92093, United States of America
- * E-mail:
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