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Lu Q, Guo P, Liu A, Ares I, Martínez-Larrañaga MR, Wang X, Anadón A, Martínez MA. The role of long noncoding RNA in lipid, cholesterol, and glucose metabolism and treatment of obesity syndrome. Med Res Rev 2020; 41:1751-1774. [PMID: 33368430 DOI: 10.1002/med.21775] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 11/13/2020] [Accepted: 12/12/2020] [Indexed: 02/06/2023]
Abstract
Obesity syndromes, characterized by abnormal lipid, cholesterol, and glucose metabolism, are detrimental to human health and cause many diseases, including obesity and type II diabetes. Increasing evidence has shown that long noncoding RNA (lncRNA), transcripts longer than 200 nucleotides that are not translated into proteins, play an important role in regulating abnormal metabolism in obesity syndromes. For the first time, we systematically summarize how lncRNA is involved in complex obesity metabolic syndromes, including the regulation of lipid, cholesterol, and glucose metabolism. Moreover, we discuss lncRNA involvement in food intake that mediates obesity syndromes. Furthermore, this review might shed new light on a lncRNA-based strategy for the prevention and treatment of obesity syndromes. Recent investigations support that lncRNA is a novel molecular target of obesity syndromes and should be emphasized. Namely, lncRNA plays a crucial role in the development of obesity syndrome process. Various lncRNAs are involved in the process of lipid, cholesterol, and glucose metabolism by regulating gene transcription, signaling pathway, and epigenetic modification of metabolism-related genes, proteins, and enzymes. Food intake could also induce abnormal expression of lncRNA associated with obesity syndrome, especially high-fat diet. Notably, some nanomolecules and natural extracts may target lncRNAs, associated with obesity syndrome, as a potential treatment for obesity syndromes.
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Affiliation(s)
- Qirong Lu
- National Reference Laboratory of Veterinary Drug Residues (HZAU), MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei, China.,MAO Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Pu Guo
- National Reference Laboratory of Veterinary Drug Residues (HZAU), MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei, China.,MAO Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Aimei Liu
- National Reference Laboratory of Veterinary Drug Residues (HZAU), MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei, China.,MAO Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, Hubei, China
| | - Irma Ares
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, and Research Institute Hospital 12 de Octubre (i+12), Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - María-Rosa Martínez-Larrañaga
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, and Research Institute Hospital 12 de Octubre (i+12), Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Xu Wang
- National Reference Laboratory of Veterinary Drug Residues (HZAU), MAO Key Laboratory for Detection of Veterinary Drug Residues, Huazhong Agricultural University, Wuhan, Hubei, China.,MAO Laboratory for Risk Assessment of Quality and Safety of Livestock and Poultry Products, Huazhong Agricultural University, Wuhan, Hubei, China.,Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, and Research Institute Hospital 12 de Octubre (i+12), Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - Arturo Anadón
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, and Research Institute Hospital 12 de Octubre (i+12), Universidad Complutense de Madrid (UCM), Madrid, Spain
| | - María-Aránzazu Martínez
- Department of Pharmacology and Toxicology, Faculty of Veterinary Medicine, and Research Institute Hospital 12 de Octubre (i+12), Universidad Complutense de Madrid (UCM), Madrid, Spain
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Ofoeyeno N, Ekpenyong E, Braconi C. Pathogenetic Role and Clinical Implications of Regulatory RNAs in Biliary Tract Cancer. Cancers (Basel) 2020; 13:E12. [PMID: 33375055 PMCID: PMC7792779 DOI: 10.3390/cancers13010012] [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: 11/17/2020] [Revised: 12/18/2020] [Accepted: 12/19/2020] [Indexed: 02/07/2023] Open
Abstract
Biliary tract cancer (BTC) is characterised by poor prognosis and low overall survival in patients. This is generally due to minimal understanding of its pathogenesis, late diagnosis and limited therapeutics in preventing or treating BTC patients. Non-coding RNA (ncRNA) are small RNAs (mRNA) that are not translated to proteins. ncRNAs were considered to be of no importance in the genome, but recent studies have shown they play essential roles in biology and oncology such as transcriptional repression and degradation, thus regulating mRNA transcriptomes. This has led to investigations into the role of ncRNAs in the pathogenesis of BTC, and their clinical implications. In this review, the mechanisms of action of ncRNA are discussed and the role of microRNAs in BTC is summarised. The scope of this review will be limited to miRNA as they have been shown to play the most significant roles in BTC progression. There is huge potential in miRNA-based biomarkers and therapeutics in BTC, but more studies, research and technological advancements are required before it can be translated into clinical practice for patients.
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Affiliation(s)
- Nduka Ofoeyeno
- The Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1QH, UK;
| | | | - Chiara Braconi
- The Institute of Cancer Sciences, University of Glasgow, Glasgow G61 1QH, UK;
- Beatson West of Scotland Cancer Centre, Glasgow G12 Y0N, UK
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53
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Yaghootkar H, Zhang Y, Spracklen CN, Karaderi T, Huang LO, Bradfield J, Schurmann C, Fine RS, Preuss MH, Kutalik Z, Wittemans LBL, Lu Y, Metz S, Willems SM, Li-Gao R, Grarup N, Wang S, Molnos S, Sandoval-Zárate AA, Nalls MA, Lange LA, Haesser J, Guo X, Lyytikäinen LP, Feitosa MF, Sitlani CM, Venturini C, Mahajan A, Kacprowski T, Wang CA, Chasman DI, Amin N, Broer L, Robertson N, Young KL, Allison M, Auer PL, Blüher M, Borja JB, Bork-Jensen J, Carrasquilla GD, Christofidou P, Demirkan A, Doege CA, Garcia ME, Graff M, Guo K, Hakonarson H, Hong J, Ida Chen YD, Jackson R, Jakupović H, Jousilahti P, Justice AE, Kähönen M, Kizer JR, Kriebel J, LeDuc CA, Li J, Lind L, Luan J, Mackey DA, Mangino M, Männistö S, Martin Carli JF, Medina-Gomez C, Mook-Kanamori DO, Morris AP, de Mutsert R, Nauck M, Prokic I, Pennell CE, Pradhan AD, Psaty BM, Raitakari OT, Scott RA, Skaaby T, Strauch K, Taylor KD, Teumer A, Uitterlinden AG, Wu Y, Yao J, Walker M, North KE, Kovacs P, Ikram MA, van Duijn CM, Ridker PM, Lye S, Homuth G, Ingelsson E, Spector TD, McKnight B, Province MA, Lehtimäki T, Adair LS, Rotter JI, Reiner AP, Wilson JG, Harris TB, Ripatti S, Grallert H, Meigs JB, Salomaa V, Hansen T, Willems van Dijk K, Wareham NJ, Grant SFA, Langenberg C, Frayling TM, Lindgren CM, Mohlke KL, Leibel RL, Loos RJF, Kilpeläinen TO. Genetic Studies of Leptin Concentrations Implicate Leptin in the Regulation of Early Adiposity. Diabetes 2020; 69:2806-2818. [PMID: 32917775 PMCID: PMC7679778 DOI: 10.2337/db20-0070] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Accepted: 09/09/2020] [Indexed: 02/02/2023]
Abstract
Leptin influences food intake by informing the brain about the status of body fat stores. Rare LEP mutations associated with congenital leptin deficiency cause severe early-onset obesity that can be mitigated by administering leptin. However, the role of genetic regulation of leptin in polygenic obesity remains poorly understood. We performed an exome-based analysis in up to 57,232 individuals of diverse ancestries to identify genetic variants that influence adiposity-adjusted leptin concentrations. We identify five novel variants, including four missense variants, in LEP, ZNF800, KLHL31, and ACTL9, and one intergenic variant near KLF14. The missense variant Val94Met (rs17151919) in LEP was common in individuals of African ancestry only, and its association with lower leptin concentrations was specific to this ancestry (P = 2 × 10-16, n = 3,901). Using in vitro analyses, we show that the Met94 allele decreases leptin secretion. We also show that the Met94 allele is associated with higher BMI in young African-ancestry children but not in adults, suggesting that leptin regulates early adiposity.
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Affiliation(s)
- Hanieh Yaghootkar
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K.
- Division of Medical Sciences, Department of Health Sciences, Luleå University of Technology, Luleå, Sweden
- Research Centre for Optimal Health, School of Life Sciences, University of Westminster, London, U.K
| | - Yiying Zhang
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Cassandra N Spracklen
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Department of Biostatistics and Epidemiology, University of Massachusetts-Amherst, Amherst, MA
| | - Tugce Karaderi
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Department of Biological Sciences, Faculty of Arts and Sciences, Eastern Mediterranean University, Famagusta, Cyprus
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- DTU Health Technology, Technical University of Denmark, Lyngby, Denmark
| | - Lam Opal Huang
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jonathan Bradfield
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Quantinuum Research LLC, San Diego, CA
| | - Claudia Schurmann
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Rebecca S Fine
- Department of Genetics, Harvard Medical School, Boston, MA
- Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children's Hospital, Boston, MA
- Broad Institute of MIT and Harvard, Cambridge, MA
| | - Michael H Preuss
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Zoltan Kutalik
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K
- Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland
- Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Laura B L Wittemans
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Yingchang Lu
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, and Vanderbilt Epidemiology Center, Vanderbilt University School of Medicine, Nashville, TN
| | - Sophia Metz
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sara M Willems
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Ruifang Li-Gao
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Shuai Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Sophie Molnos
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | | | - Mike A Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD
- Data Tecnica International, Glen Echo, MD
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado-Denver, Denver, CO
| | - Jeffrey Haesser
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mary F Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Colleen M Sitlani
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Cristina Venturini
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
| | - Anubha Mahajan
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Tim Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Carol A Wang
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Linda Broer
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Neil Robertson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Matthew Allison
- Department of Family Medicine and Public Health, University of California, San Diego, La Jolla, CA
| | - Paul L Auer
- Joseph J. Zilber School of Public Health, University of Wisconsin-Milwaukee, Milwaukee, WI
| | - Matthias Blüher
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - Judith B Borja
- Office of Population Studies Foundation, Inc., Cebu City, Philippines
- Department of Nutrition and Dietetics, University of San Carlos, Cebu City, Philippines
| | - Jette Bork-Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Germán D Carrasquilla
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Ayse Demirkan
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Claudia A Doege
- Department of Pathology and Cell Biology, Columbia University, New York, NY
| | - Melissa E Garcia
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, Bethesda, MD
| | - Mariaelisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
- Carolina Center for Genome Sciences, Chapel Hill, NC
| | - Kaiying Guo
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Hakon Hakonarson
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Jaeyoung Hong
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Rebecca Jackson
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University, Columbus, OH
| | - Hermina Jakupović
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pekka Jousilahti
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Anne E Justice
- Center for Biomedical and Translational Informatics, Geisinger, Danville, PA
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
- Department of Clinical Physiology, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorge R Kizer
- Cardiology Section, San Francisco Veterans Affairs Health Care System, University of California San Francisco, San Francisco, CA
- Departments of Medicine and Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA
| | - Jennifer Kriebel
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | - Charles A LeDuc
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Jin Li
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Palo Alto, CA
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Jian'an Luan
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - David A Mackey
- Centre for Ophthalmology and Visual Science, Lions Eye Institute, The University of Western Australia, Perth, West Australia, Australia
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
- NIHR Biomedical Research Centre at Guy's and St Thomas' Foundation Trust, London, U.K
| | - Satu Männistö
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jayne F Martin Carli
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Carolina Medina-Gomez
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Dennis O Mook-Kanamori
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
- Department of Public Health and Primary Care, Leiden University Medical Center, Leiden, the Netherlands
| | - Andrew P Morris
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Department of Biostatistics, University of Liverpool, Liverpool, U.K
- Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, U.K
| | - Renée de Mutsert
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Matthias Nauck
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ivana Prokic
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Craig E Pennell
- Department of Biostatistics, Boston University School of Public Health, Boston, MA
| | - Arund D Pradhan
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, Turku University Hospital, Turku, Finland
| | - Robert A Scott
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Tea Skaaby
- Center for Clinical Research and Disease Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Genetic Epidemiology, Insitute of Medical Information Processing, Biometry, and Epidemiology (IBE), Faculty of Medicine, Ludwig Maximilian University Munich, München, Germany
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Alexander Teumer
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Ying Wu
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Jie Yao
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Mark Walker
- Institute of Cellular Medicine (Diabetes), Newcastle University, Newcastle upon Tyne, U.K
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Peter Kovacs
- Medical Department III - Endocrinology, Nephrology, Rheumatology, University of Leipzig Medical Center, Leipzig, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Harvard Medical School, Boston, MA
| | - Stephen Lye
- Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - Georg Homuth
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Erik Ingelsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Palo Alto, CA
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Palo Alto, CA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA
- Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, U.K
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, Finnish Cardiovascular Research Center Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Linda S Adair
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - 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
| | - Alexander P Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Bethesda, MD
| | - Samuli Ripatti
- Broad Institute of MIT and Harvard, Cambridge, MA
- Institute for Molecular Medicine Finland, Helsinki, Finland
- Public Health, University of Helsinki, Helsinki, Finland
| | - Harald Grallert
- German Center for Diabetes Research, München-Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München Research Center for Environmental Health, München-Neuherberg, Germany
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Program in Population and Medical Genetics, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Veikko Salomaa
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ko Willems van Dijk
- Division of Endocrinology, Department of Internal Medicine, Leiden University Medical Center, Leiden, the Netherlands
- Einthoven Laboratory for Experimental Vascular Medicine, Leiden, the Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Struan F A Grant
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
- Center for Spatial and Functional Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Philadelphia, PA
- Institute of Diabetes, Obesity and Metabolism, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Timothy M Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, U.K
| | - Cecilia M Lindgren
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, U.K
- Broad Institute of MIT and Harvard, Cambridge, MA
- Big Data Institute, Nuffield Department of Medicine, University of Oxford, Oxford, U.K
| | - Karen L Mohlke
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Rudolph L Leibel
- Division of Molecular Genetics, Department of Pediatrics, Columbia University, New York, NY
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Tuomas O Kilpeläinen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
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54
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Brocker CN, Kim D, Melia T, Karri K, Velenosi TJ, Takahashi S, Aibara D, Bonzo JA, Levi M, Waxman DJ, Gonzalez FJ. Long non-coding RNA Gm15441 attenuates hepatic inflammasome activation in response to PPARA agonism and fasting. Nat Commun 2020; 11:5847. [PMID: 33203882 PMCID: PMC7673042 DOI: 10.1038/s41467-020-19554-7] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2019] [Accepted: 10/12/2020] [Indexed: 12/21/2022] Open
Abstract
Exploring the molecular mechanisms that prevent inflammation during caloric restriction may yield promising therapeutic targets. During fasting, activation of the nuclear receptor peroxisome proliferator-activated receptor α (PPARα) promotes the utilization of lipids as an energy source. Herein, we show that ligand activation of PPARα directly upregulates the long non-coding RNA gene Gm15441 through PPARα binding sites within its promoter. Gm15441 expression suppresses its antisense transcript, encoding thioredoxin interacting protein (TXNIP). This, in turn, decreases TXNIP-stimulated NLR family pyrin domain containing 3 (NLRP3) inflammasome activation, caspase-1 (CASP1) cleavage, and proinflammatory interleukin 1β (IL1B) maturation. Gm15441-null mice were developed and shown to be more susceptible to NLRP3 inflammasome activation and to exhibit elevated CASP1 and IL1B cleavage in response to PPARα agonism and fasting. These findings provide evidence for a mechanism by which PPARα attenuates hepatic inflammasome activation in response to metabolic stress through induction of lncRNA Gm15441.
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Affiliation(s)
- Chad N Brocker
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Donghwan Kim
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Tisha Melia
- Department of Biology and Bioinformatics Program, Boston University, Boston, MA, 02215, USA
| | - Kritika Karri
- Department of Biology and Bioinformatics Program, Boston University, Boston, MA, 02215, USA
| | - Thomas J Velenosi
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Shogo Takahashi
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
- Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, 20057, USA
| | - Daisuke Aibara
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Jessica A Bonzo
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA
| | - Moshe Levi
- Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, 20057, USA
| | - David J Waxman
- Department of Biology and Bioinformatics Program, Boston University, Boston, MA, 02215, USA
| | - Frank J Gonzalez
- Laboratory of Metabolism, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20814, USA.
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55
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Bai M, Ye D, Guo X, Xi J, Liu N, Wu Y, Jia W, Wang G, Chen W, Li G, Jiapaer Z, Kang J. Critical regulation of a NDIME/MEF2C axis in embryonic stem cell neural differentiation and autism. EMBO Rep 2020; 21:e50283. [PMID: 33016573 PMCID: PMC7645248 DOI: 10.15252/embr.202050283] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2020] [Revised: 07/28/2020] [Accepted: 09/04/2020] [Indexed: 12/27/2022] Open
Abstract
A microdeletion within human chromosome 5q14.3 has been associated with the occurrence of neurodevelopmental disorders, such as autism and intellectual disability, and MEF2C haploinsufficiency was identified as main cause. Here, we report that a brain-enriched long non-coding RNA, NDIME, is located near the MEF2C locus and is required for normal neural differentiation of mouse embryonic stem cells (mESCs). NDIME interacts with EZH2, the major component of polycomb repressive complex 2 (PRC2), and blocks EZH2-mediated trimethylation of histone H3 lysine 27 (H3K27me3) at the Mef2c promoter, promoting MEF2C transcription. Moreover, the expression levels of both NDIME and MEF2C were strongly downregulated in the hippocampus of a mouse model of autism, and the adeno-associated virus (AAV)-mediated expression of NDIME in the hippocampus of these mice significantly increased MEF2C expression and ameliorated autism-like behaviors. The results of this study reveal an epigenetic mechanism by which NDIME regulates MEF2C transcription and neural differentiation and suggest potential effects and therapeutic approaches of the NDIME/MEF2C axis in autism.
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Affiliation(s)
- Mingliang Bai
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Dan Ye
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Xudong Guo
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
- Institute for Advanced StudyTongji UniversityShanghaiChina
| | - Jiajie Xi
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Nana Liu
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Yukang Wu
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Wenwen Jia
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
- Institute of Regenerative MedicineShanghai East HospitalTongji University School of MedicineShanghaiChina
| | - Guiying Wang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Wen Chen
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Guoping Li
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
| | - Zeyidan Jiapaer
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
- Xinjiang Key Laboratory of Biology Resources and Genetic EngineeringCollege of Life Science and TechnologyXinjiang UniversityUrumqiChina
| | - Jiuhong Kang
- Clinical and Translational Research Center of Shanghai First Maternity and Infant HospitalShanghai Key Laboratory of Signaling and Disease ResearchCollaborative Innovation Center for Brain ScienceSchool of Life Sciences and TechnologyTongji UniversityShanghaiChina
- Tsingtao Advanced Research InstituteTongji UniversityQingdaoChina
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56
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Leptin alters energy intake and fat mass but not energy expenditure in lean subjects. Nat Commun 2020; 11:5145. [PMID: 33051459 PMCID: PMC7553922 DOI: 10.1038/s41467-020-18885-9] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Accepted: 09/18/2020] [Indexed: 12/21/2022] Open
Abstract
Based on studies in mice, leptin was expected to decrease body weight in obese individuals. However, the majority of the obese are hyperleptinemic and do not respond to leptin treatment, suggesting the presence of leptin tolerance and questioning the role of leptin as regulator of energy balance in humans. We thus performed detailed novel measurements and analyses of samples and data from our clinical trials biobank to investigate leptin effects on mechanisms of weight regulation in lean normo- and mildly hypo-leptinemic individuals without genetic disorders. We demonstrate that short-term leptin administration alters food intake during refeeding after fasting, whereas long-term leptin treatment reduces fat mass and body weight, and transiently alters circulating free fatty acids in lean mildly hypoleptinemic individuals. Leptin levels before treatment initiation and leptin dose do not predict the observed weight loss in lean individuals suggesting a saturable effect of leptin. In contrast to data from animal studies, leptin treatment does not affect energy expenditure, lipid utilization, SNS activity, heart rate, blood pressure or lean body mass. Leptin treatment is effective to reduce body weight in animal models, but patients with obesity and associated hyperleptinemia do not respond well to leptin therapy. Here the authors report a retrospective analysis of four clinical trials in normo- and mildly hypoleptinemic individuals and show that leptin therapy alters food intake in the short term and reduces weight and fat mass in the long term without effects on energy expenditure.
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57
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Ekberg NR, Falhammar H, Näslund E, Brismar K. Predictors of normalized HbA1c after gastric bypass surgery in subjects with abnormal glucose levels, a 2-year follow-up study. Sci Rep 2020; 10:15127. [PMID: 32934313 PMCID: PMC7492212 DOI: 10.1038/s41598-020-72141-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 08/24/2020] [Indexed: 12/18/2022] Open
Abstract
Clinical biomarkers can predict normalization of HbA1c after Roux-en-Y gastric bypass (RYGB) surgery, but it is unclear which are the most predictive.The aim of this study was to compare biomarkers for insulin sensitivity and other clinical parameters in the prediction of normalization of HbA1c after RYGB surgery. This study included 99 (23 men) obese subjects (BMI > 35 kg/m2) undergoing a laparoscopic RYGB. Clinical and biochemical examinations were performed pre-operatively and up to 2 years after surgery. Pre-operatively, normal fasting glucose levels were found in 25 individuals (NG), prediabetes in 46 and type 2 diabetes (T2DM) in 28. At baseline IGF-I (SD), IGFBP-1 and adiponectin levels were low while leptin was high. Weight loss was observed in all three groups, most in the prediabetes group. After 2 years HbA1c was decreased in prediabetes and T2DM. In all three groups insulin, HOMA-IR, lipids and blood pressure improved, IGFBP-1 and adiponectin increased and leptin decreased. IGF-I (SD) increased only in T2DM. In those with prediabetes or T2DM (n = 74), HbA1c at 2 years correlated to baseline BMI (r = -0.27, p = 0.028), age (r = 0.43, p < 0.001), HbA1c (r = 0.37, p = 0.001) and IGFBP-1 (r = 0.25, p = 0.038), and was normalized in 45/74 (61%) at 1 year and in 36 subjects (49%) at 2 years. These responders were younger, had higher BMI, larger waist circumference, lower HbA1c and lower IGFBP-1 levels at baseline. In a multiple regression model age (negative, p = 0.021) and waist circumference (positive, p = 0.047) were the only predictors for normalized HbA1c. RYGB normalized HbA1c in 49% at two years follow-up, which was predicted by low baseline IGFBP-1 level, a marker of hepatic insulin sensitivty and insulin secretion. However,. younger age and larger waist circumference were the only predictors of normalized HbA1c in multivariate analysis.
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Affiliation(s)
- Neda Rajamand Ekberg
- Centrum of Diabetes, Stockholm, Sweden.,Department of Molecular Medicine and Surgery, D02:04, Karolinska Institutet, 171 76, Stockholm, Sweden
| | - Henrik Falhammar
- Department of Molecular Medicine and Surgery, D02:04, Karolinska Institutet, 171 76, Stockholm, Sweden. .,Department of Endocrinology, Metabolism and Diabetes, Karolinska University Hospital, Stockholm, Sweden.
| | - Erik Näslund
- Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, Stockholm, Sweden
| | - Kerstin Brismar
- Department of Molecular Medicine and Surgery, D02:04, Karolinska Institutet, 171 76, Stockholm, Sweden
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58
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Asai A, Nagao M, Hayakawa K, Miyazawa T, Sugihara H, Oikawa S. Leptin production capacity determines food intake and susceptibility to obesity-induced diabetes in Oikawa-Nagao Diabetes-Prone and Diabetes-Resistant mice. Diabetologia 2020; 63:1836-1846. [PMID: 32561946 DOI: 10.1007/s00125-020-05191-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/29/2019] [Accepted: 04/10/2020] [Indexed: 10/24/2022]
Abstract
AIMS/HYPOTHESIS Obesity caused by overeating plays a pivotal role in the development of type 2 diabetes. However, it remains poorly understood how individual meal size differences are determined before the development of obesity. Here, we investigated the underlying mechanisms in determining spontaneous food intake in newly established Oikawa-Nagao Diabetes-Prone (ON-DP) and Diabetes-Resistant (ON-DR) mice. METHODS Food intake and metabolic phenotypes of ON-DP and ON-DR mice under high-fat-diet feeding were compared from 5 weeks to 10 weeks of age. Differences in leptin status at 5 weeks of age were assessed between the two mouse lines. Adipose tissue explant culture was also performed to evaluate leptin production capacity in vitro. RESULTS ON-DP mice showed spontaneous overfeeding compared with ON-DR mice. Excessive body weight gain and fat accumulation in ON-DP mice were completely suppressed to the levels seen in ON-DR mice by pair-feeding with ON-DR mice. Deterioration of glucose tolerance in ON-DP mice was also ameliorated under the pair-feeding conditions. While no differences were seen in body weight and adipose tissue mass when comparing the two mouse lines at 5 weeks of age, the ON-DP mice had lower plasma leptin concentrations and adipose tissue leptin gene expression levels. In accordance with peripheral leptin status, ON-DP mice displayed lower anorexigenic leptin signalling in the hypothalamic arcuate nucleus when compared with ON-DR mice without apparent leptin resistance. Explant culture studies revealed that ON-DP mice had lower leptin production capacity in adipose tissue. ON-DP mice also displayed higher DNA methylation levels in the leptin gene promoter region of adipocytes when compared with ON-DR mice. CONCLUSIONS/INTERPRETATION The results suggest that heritable lower leptin production capacity plays a critical role in overfeeding-induced obesity and subsequent deterioration of glucose tolerance in ON-DP mice. Leptin production capacity in adipocytes, especially before the development of obesity, may have diagnostic potential for predicting individual risk of obesity caused by overeating and future onset of type 2 diabetes. Graphical abstract.
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Affiliation(s)
- Akira Asai
- Department of Endocrinology, Diabetes and Metabolism, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan.
- Food and Health Science Research Unit, Graduate School of Agricultural Science, Tohoku University, 468-1 Aramaki Aza Aoba, Aoba-ku, Sendai, 980-8572, Japan.
| | - Mototsugu Nagao
- Department of Endocrinology, Diabetes and Metabolism, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Koji Hayakawa
- Department of Toxicology, Faculty of Veterinary Medicine, Okayama University of Science, Imabari, Ehime, Japan
| | - Teruo Miyazawa
- Food and Health Science Research Unit, Graduate School of Agricultural Science, Tohoku University, 468-1 Aramaki Aza Aoba, Aoba-ku, Sendai, 980-8572, Japan
| | - Hitoshi Sugihara
- Department of Endocrinology, Diabetes and Metabolism, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
| | - Shinichi Oikawa
- Department of Endocrinology, Diabetes and Metabolism, Graduate School of Medicine, Nippon Medical School, Tokyo, Japan
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59
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Squillaro T, Peluso G, Galderisi U, Di Bernardo G. Long non-coding RNAs in regulation of adipogenesis and adipose tissue function. eLife 2020; 9:59053. [PMID: 32730204 PMCID: PMC7392603 DOI: 10.7554/elife.59053] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 07/23/2020] [Indexed: 12/12/2022] Open
Abstract
Complex interaction between genetics, epigenetics, environment, and nutrition affect the physiological activities of adipose tissues and their dysfunctions, which lead to several metabolic diseases including obesity or type 2 diabetes. Here, adipogenesis appears to be a process characterized by an intricate network that involves many transcription factors and long noncoding RNAs (lncRNAs) that regulate gene expression. LncRNAs are being investigated to determine their contribution to adipose tissue development and function. LncRNAs possess multiple cellular functions, and they regulate chromatin remodeling, along with transcriptional and post-transcriptional events; in this way, they affect gene expression. New investigations have demonstrated the pivotal role of these molecules in modulating white and brown/beige adipogenic tissue development and activity. This review aims to provide an update on the role of lncRNAs in adipogenesis and adipose tissue function to promote identification of new drug targets for treating obesity and related metabolic diseases.
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Affiliation(s)
- Tiziana Squillaro
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, University of Campania Luigi Vanvitelli, Naples, Italy
| | | | - Umberto Galderisi
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Giovanni Di Bernardo
- Department of Experimental Medicine, Biotechnology, and Molecular Biology Section, University of Campania Luigi Vanvitelli, Naples, Italy
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60
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Diels S, Vanden Berghe W, Van Hul W. Insights into the multifactorial causation of obesity by integrated genetic and epigenetic analysis. Obes Rev 2020; 21:e13019. [PMID: 32170999 DOI: 10.1111/obr.13019] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 02/24/2020] [Accepted: 03/04/2020] [Indexed: 12/11/2022]
Abstract
Obesity is a highly heritable multifactorial disease that places an enormous burden on human health. Its increasing prevalence and the concomitant-reduced life expectancy has intensified the search for new analytical methods that can reduce the knowledge gap between genetic susceptibility and functional consequences of the disease pathology. Although the influence of genetics and epigenetics has been studied independently in the past, there is increasing evidence that genetic variants interact with environmental factors through epigenetic regulation. This suggests that a combined analysis of genetic and epigenetic variation may be more effective in characterizing the obesity phenotype. To date, limited genome-wide integrative analyses have been performed. In this review, we provide an overview of the latest findings, advantages, and challenges and discuss future perspectives.
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Affiliation(s)
- Sara Diels
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
| | - Wim Vanden Berghe
- Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Wim Van Hul
- Department of Medical Genetics, University of Antwerp, Antwerp, Belgium
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61
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The lncRNA RP11-142A22.4 promotes adipogenesis by sponging miR-587 to modulate Wnt5β expression. Cell Death Dis 2020; 11:475. [PMID: 32561739 PMCID: PMC7305230 DOI: 10.1038/s41419-020-2550-9] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 12/11/2022]
Abstract
Emerging evidence suggests that long noncoding RNAs (lncRNAs) play essential roles in the regulation of gene expression. However, the functional contributions of lncRNAs to adipogenesis remain largely unexplored. In this study, we investigated global changes in the expression patterns of lncRNAs in visceral adipose tissue and identified RP11-142A22.4 as a significantly upregulated lncRNA. In isolated preadipocytes, knockdown of RP11-142A22.4 inhibited differentiation and reduced C/EBP-α and PPAR-γ expression. Investigations of the underlying mechanisms revealed that RP11-142A22.4 contains a functional miR-587 binding site. Mutation of the binding sites for RP11-142A22.4 in miR-587 abolished the interaction, as indicated by a luciferase reporter assay. Furthermore, RP11-142A22.4 affected the expression of miR-587 and its target gene Wnt5β. Overexpression of miR-587 blocked the inhibitory effect of RP11-142A22.4 on preadipocyte differentiation. Moreover, the downregulation of miR-587 restored preadipocyte differentiation upon inhibition by RP11-142A22.4 silencing. Our results suggest that RP11-142A22.4 can control adipocyte differentiation via the miR-587/Wnt5β signaling pathway and serve as a potential target for obesity treatments.
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62
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Genetic variation, adipokines, and cardiometabolic disease. Curr Opin Pharmacol 2020; 52:33-39. [PMID: 32480034 DOI: 10.1016/j.coph.2020.04.006] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/21/2020] [Accepted: 04/22/2020] [Indexed: 11/24/2022]
Abstract
Adipokines are adipocyte-secreted cell signalling proteins that travel to distant target organs and tissues, where they regulate a variety of biological actions implicated in cardiometabolic health. In the past decade, genome-wide association studies have identified multiple genetic variants associated with circulating levels of adipokines, providing new instruments for examining the role of adipokines in cardiometabolic pathologies. Currently, there is limited genetic evidence of causal relationships between adipokines and cardiometabolic disease, which is consistent with findings from randomized clinical trials that have thus far shown limited success for adipokine-based treatments in improving cardiometabolic health. Incorporating human genetic data in early phases of target selection is essential for enhancing the success of adipokine-based therapies for cardiometabolic disease.
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63
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Yuan L, Xu ZY, Ruan SM, Mo S, Qin JJ, Cheng XD. Long non-coding RNAs towards precision medicine in gastric cancer: early diagnosis, treatment, and drug resistance. Mol Cancer 2020; 19:96. [PMID: 32460771 PMCID: PMC7251695 DOI: 10.1186/s12943-020-01219-0] [Citation(s) in RCA: 198] [Impact Index Per Article: 49.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 05/21/2020] [Indexed: 02/07/2023] Open
Abstract
Gastric cancer is a deadly disease and remains the third leading cause of cancer-related death worldwide. The 5-year overall survival rate of patients with early-stage localized gastric cancer is more than 60%, whereas that of patients with distant metastasis is less than 5%. Surgical resection is the best option for early-stage gastric cancer, while chemotherapy is mainly used in the middle and advanced stages of this disease, despite the frequently reported treatment failure due to chemotherapy resistance. Therefore, there is an unmet medical need for identifying new biomarkers for the early diagnosis and proper management of patients, to achieve the best response to treatment. Long non-coding RNAs (lncRNAs) in body fluids have attracted widespread attention as biomarkers for early screening, diagnosis, treatment, prognosis, and responses to drugs due to the high specificity and sensitivity. In the present review, we focus on the clinical potential of lncRNAs as biomarkers in liquid biopsies in the diagnosis and prognosis of gastric cancer. We also comprehensively discuss the roles of lncRNAs and their molecular mechanisms in gastric cancer chemoresistance as well as their potential as therapeutic targets for gastric cancer precision medicine.
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Affiliation(s)
- Li Yuan
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006 China
| | - Zhi-Yuan Xu
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Banshan Road 1#, Gongshu District, Hangzhou, 310022 China
| | - Shan-Ming Ruan
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006 China
| | - Shaowei Mo
- The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, 310006 China
| | - Jiang-Jiang Qin
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Banshan Road 1#, Gongshu District, Hangzhou, 310022 China
- College of Pharmaceutical Sciences, Zhejiang Chinese Medical University, 548 Binwen Road, Binjiang District, Hangzhou, 310053 China
| | - Xiang-Dong Cheng
- Institute of Cancer and Basic Medicine, Chinese Academy of Sciences, Cancer Hospital of the University of Chinese Academy of Sciences, Zhejiang Cancer Hospital, Banshan Road 1#, Gongshu District, Hangzhou, 310022 China
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64
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Münzberg H, Singh P, Heymsfield SB, Yu S, Morrison CD. Recent advances in understanding the role of leptin in energy homeostasis. F1000Res 2020; 9. [PMID: 32518627 PMCID: PMC7255681 DOI: 10.12688/f1000research.24260.1] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/19/2020] [Indexed: 01/04/2023] Open
Abstract
The hormone leptin plays a critical role in energy homeostasis, although our overall understanding of acutely changing leptin levels still needs improvement. Several developments allow a fresh look at recent and early data on leptin action. This review highlights select recent publications that are relevant for understanding the role played by dynamic changes in circulating leptin levels. We further discuss the relevance for our current understanding of leptin signaling in central neuronal feeding and energy expenditure circuits and highlight cohesive and discrepant findings that need to be addressed in future studies to understand how leptin couples with physiological adaptations of food intake and energy expenditure.
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Affiliation(s)
- Heike Münzberg
- Pennington Biomedical Research Center, Louisiana State University System, Louisiana, USA
| | - Prachi Singh
- Pennington Biomedical Research Center, Louisiana State University System, Louisiana, USA
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University System, Louisiana, USA
| | - Sangho Yu
- Pennington Biomedical Research Center, Louisiana State University System, Louisiana, USA
| | - Christopher D Morrison
- Pennington Biomedical Research Center, Louisiana State University System, Louisiana, USA
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65
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Sun X, Harris EN. New aspects of hepatic endothelial cells in physiology and nonalcoholic fatty liver disease. Am J Physiol Cell Physiol 2020; 318:C1200-C1213. [PMID: 32374676 DOI: 10.1152/ajpcell.00062.2020] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
The liver is the central metabolic hub for carbohydrate, lipid, and protein metabolism. It is composed of four major types of cells, including hepatocytes, endothelial cells (ECs), Kupffer cells, and stellate cells. Hepatic ECs are highly heterogeneous in both mice and humans, representing the second largest population of cells in liver. The majority of them line hepatic sinusoids known as liver sinusoidal ECs (LSECs). The structure and biology of LSECs and their roles in physiology and liver disease were reviewed recently. Here, we do not give a comprehensive review of LSEC structure, function, or pathophysiology. Instead, we focus on the recent progress in LSEC research and other hepatic ECs in physiology and nonalcoholic fatty liver disease and other hepatic fibrosis-related conditions. We discuss several current areas of interest, including capillarization, scavenger function, autophagy, cellular senescence, paracrine effects, and mechanotransduction. In addition, we summarize the strengths and weaknesses of evidence for the potential role of endothelial-to-mesenchymal transition in liver fibrosis.
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Affiliation(s)
- Xinghui Sun
- Department of Biochemistry, University of Nebraska-Lincoln, Beadle Center, Lincoln, Nebraska.,Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, Nebraska.,Nebraska Center for the Prevention of Obesity Diseases through Dietary Molecules, University of Nebraska-Lincoln, Lincoln, Nebraska
| | - Edward N Harris
- Department of Biochemistry, University of Nebraska-Lincoln, Beadle Center, Lincoln, Nebraska.,Nebraska Center for Integrated Biomolecular Communication, University of Nebraska-Lincoln, Lincoln, Nebraska.,Fred & Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska
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66
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Abstract
Long non-coding RNAs (lncRNAs) represent a major fraction of the transcriptome in multicellular organisms. Although a handful of well-studied lncRNAs are broadly recognized as biologically meaningful, the fraction of such transcripts out of the entire collection of lncRNAs remains a subject of vigorous debate. Here we review the evidence for and against biological functionalities of lncRNAs and attempt to arrive at potential modes of lncRNA functionality that would reconcile the contradictory conclusions. Finally, we discuss different strategies of phenotypic analyses that could be used to investigate such modes of lncRNA functionality.
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Affiliation(s)
- Fan Gao
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China
| | - Ye Cai
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China
| | - Philipp Kapranov
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China.
| | - Dongyang Xu
- Institute of Genomics, School of Biomedical Sciences, Huaqiao University, 201 Pan-Chinese S & T Building, 668 Jimei Road, Xiamen, 361021, China.
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67
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Du X, Liu L, Li Q, Zhang L, Pan Z, Li Q. NORFA, long intergenic noncoding RNA, maintains sow fertility by inhibiting granulosa cell death. Commun Biol 2020; 3:131. [PMID: 32188888 PMCID: PMC7080823 DOI: 10.1038/s42003-020-0864-x] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 02/27/2020] [Indexed: 02/07/2023] Open
Abstract
Long intergenic non-coding RNAs (lincRNAs) have been proved to be involved in regulating female reproduction. However, to what extent lincRNAs are involved in ovarian functions and fertility is incompletely understood. Here we show that a lincRNA, NORFA is involved in granulosa cell apoptosis, follicular atresia and sow fertility. We found that NORFA was down-regulated during follicular atresia, and inhibited granulosa cell apoptosis. NORFA directly interacted with miR-126 and thereby preventing it from binding to TGFBR2 3'-UTR. miR-126 enhanced granulosa cell apoptosis by attenuating NORFA-induced TGF-β signaling pathway. Importantly, a breed-specific 19-bp duplication was detected in NORFA promoter, which proved association with sow fertility through enhancing transcription activity of NORFA by recruiting transcription factor NFIX. In summary, our findings identified a candidate lincRNA for sow prolificacy, and provided insights into the mechanism of follicular atresia and female fertility.
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Affiliation(s)
- Xing Du
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China
| | - Lu Liu
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China
| | - Qiqi Li
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China
| | - Lifan Zhang
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China
| | - Zengxiang Pan
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China
| | - Qifa Li
- College of Animal Science and Technology, Nanjing Agricultural University, 210095, Nanjing, China.
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Zachurzok A, Ranke MB, Flehmig B, Jakubek-Kipa K, Marcinkiewicz K, Mazur A, Petriczko E, Pridzun L, von Schnurbein J, Walczak M, Malecka-Tendera E, Wabitsch M, Brandt S. Relative leptin deficiency in children with severe early-onset obesity (SEOO) - results of the Early-onset Obesity and Leptin - German-Polish Study (EOL-GPS). J Pediatr Endocrinol Metab 2020; 33:255-263. [PMID: 31927523 DOI: 10.1515/jpem-2019-0469] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 11/18/2019] [Indexed: 01/13/2023]
Abstract
Background Severe early-onset obesity (SEOO) in children is a common feature of monogenic obesity. Gene defects of the leptin-melanocortin pathway can be analysed biochemically and genetically. The aim of this study was to search for children with leptin deficiency or biologically inactive leptin in a cohort of children with SEOO and to study associations between leptin parameters and anthropometric data. Methods The cohort included n = 50 children with SEOO (22 boys) who were recruited at one of four study centres (Germany: Ulm; Poland: Katowice, Szczecin, Rzeszow) between October 2015 and October 2017. Weight (kg) and height (m) were measured, Tanner stage was obtained and a fasting serum blood sample was taken. Serum levels of total leptin (LEP, ng/mL), biologically active leptin (bioLEP, ng/mL) and soluble leptin receptor (sLEPR, ng/mL) were measured. The body mass index (BMI [kg/m2]), BMI z-score (World Health Organization [WHO]), quotient of bioLEP/LEP and leptin-standard deviation score (LEP-SDS) (Tanner stage, BMI and sex-adjusted) were calculated. Results We did not find any child with leptin deficiency or biologically inactive leptin in our cohort. The serum LEP and bioLEP levels were strongly correlated with age (r = 0.50, p < 0.05) and BMI (r = 0.70; p < 0.0001). Girls had higher LEP and bioLEP levels (49.7 ± 35.9 vs. 37.1 ± 25.5 ng/mL, p > 0.05) as well as lower LEP-SDS than boys (-1.77 ± 2.61 vs. -1.40 ± 2.60, p > 0.05). sLEPR levels were negatively correlated with BMI values (r = -0.44; p < 0.05), LEP (r = -0.39; p < 0.05) and bioLEP levels (r = -0.37; p < 0.05). Interestingly, there was a strong inverse relationship between LEP-SDS and BMI (r = -0.72, p < 0.001). Conclusions In this cohort with SEOO, we identified no new cases of children with leptin deficiency or bioinactive leptin. A strong negative correlation between the LEP-SDS and BMI values could be interpreted as relative leptin deficiency in children with SEOO. In case this hypothesis can be confirmed, these children would benefit from a substitution therapy with methionyl human leptin (metreleptin™).
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Affiliation(s)
- Agnieszka Zachurzok
- Department of Pediatrics and Pediatric Endocrinology, Medical University of Silesia, School of Medicine in Katowice, Katowice, Poland
| | | | | | | | - Katarzyna Marcinkiewicz
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Disorders and Cardiology of Developmental Age, Pomeranian Medical University, Szczecin, Poland
| | - Artur Mazur
- University of Rzeszow, Department of Pediatrics, Rzeszow, Poland
| | - Elzbieta Petriczko
- Department of Pediatrics, Endocrinology, Diabetology, Metabolic Disorders and Cardiology of Developmental Age, Pomeranian Medical University, Szczecin, Poland
| | | | - Julia von Schnurbein
- Center for Rare Endocrine Diseases, Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, Ulm, Germany
| | - Mieczyslaw Walczak
- Pomeranian Medical University, Department of Pediatrics, Endocrinology and Diabetes, Szczecin, Poland
| | - Ewa Malecka-Tendera
- Department of Pediatrics and Pediatric Endocrinology, Medical University of Silesia, School of Medicine in Katowice, Katowice, Poland
| | - Martin Wabitsch
- Center for Rare Endocrine Diseases, Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, Ulm, Germany
| | - Stephanie Brandt
- Center for Rare Endocrine Diseases, Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, Ulm, Germany
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69
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Peng L, Liu F, Yang J, Liu X, Meng Y, Deng X, Peng C, Tian G, Zhou L. Probing lncRNA-Protein Interactions: Data Repositories, Models, and Algorithms. Front Genet 2020; 10:1346. [PMID: 32082358 PMCID: PMC7005249 DOI: 10.3389/fgene.2019.01346] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Accepted: 12/09/2019] [Indexed: 12/31/2022] Open
Abstract
Identifying lncRNA-protein interactions (LPIs) is vital to understanding various key biological processes. Wet experiments found a few LPIs, but experimental methods are costly and time-consuming. Therefore, computational methods are increasingly exploited to capture LPI candidates. We introduced relevant data repositories, focused on two types of LPI prediction models: network-based methods and machine learning-based methods. Machine learning-based methods contain matrix factorization-based techniques and ensemble learning-based techniques. To detect the performance of computational methods, we compared parts of LPI prediction models on Leave-One-Out cross-validation (LOOCV) and fivefold cross-validation. The results show that SFPEL-LPI obtained the best performance of AUC. Although computational models have efficiently unraveled some LPI candidates, there are many limitations involved. We discussed future directions to further boost LPI predictive performance.
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Affiliation(s)
- Lihong Peng
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
| | - Fuxing Liu
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
| | - Jialiang Yang
- Department of Sciences, Genesis (Beijing) Co. Ltd., Beijing, China
| | - Xiaojun Liu
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
| | - Yajie Meng
- College of Computer Science and Electronic Engineering, Hunan University, Changsha, China
| | - Xiaojun Deng
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
| | - Cheng Peng
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
| | - Geng Tian
- Department of Sciences, Genesis (Beijing) Co. Ltd., Beijing, China
| | - Liqian Zhou
- School of Computer Science, Hunan University of Technology, Zhuzhou, China
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70
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Chai P, Yu J, Li Y, Shi Y, Fan X, Jia R. High-throughput transcriptional profiling combined with angiogenesis antibody array analysis in an orbital venous malformation cohort. Exp Eye Res 2020; 191:107916. [PMID: 31926133 DOI: 10.1016/j.exer.2020.107916] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Revised: 12/30/2019] [Accepted: 01/02/2020] [Indexed: 12/15/2022]
Abstract
Orbital venous malformations (OVMs) are the most common benign orbital vascular disorders in adults and are characterized as enlarging encapsulated vascular neoplasms. These painless lesions grow slowly and become symptomatic with proptosis or visual disturbance. However, the pathogenic mechanism and diagnostic markers of OVMs remain poorly understood. To identify potential pathways involved in OVM formation, a cDNA microarray analysis was conducted with OVM samples and normal vascular tissues. These data were deposited in the National Omics Data Encyclopedia (NODE) database (accession number: OER033009). These pathway expression data were further confirmed by reverse transcription qPCR (RT-qPCR) in an OVM cohort. To explore the diagnostic markers in OVM, an angiogenesis antibody array was analyzed. The altered factors were further validated by enzyme-linked immunosorbent assay (ELISA) in the OVM cohort. Transcriptome screening revealed upregulated autophagy and VEGF pathways and downregulated Hippo, Wnt, hedgehog and vascular smooth muscle contraction signaling pathways in OVM samples. Furthermore, plasma EGF (p < 0.001) and Leptin (p < 0.01) levels were significantly elevated in OVM patients. Here, for the first time, we revealed the transcriptional background and plasma diagnostic markers in OVM, providing a novel understanding of OVM pathogenesis and facilitating the early diagnosis of OVM.
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Affiliation(s)
- Peiwei Chai
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China
| | - Jie Yu
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China
| | - Yongyun Li
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China
| | - Yingyun Shi
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China
| | - Xianqun Fan
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China.
| | - Renbing Jia
- Department of Ophthalmology, Shanghai Key Laboratory of Orbital Diseases and Ocular Oncology, Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, PR China.
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71
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Ebrahimi R, Toolabi K, Jannat Ali Pour N, Mohassel Azadi S, Bahiraee A, Zamani-Garmsiri F, Emamgholipour S. Adipose tissue gene expression of long non-coding RNAs; MALAT1, TUG1 in obesity: is it associated with metabolic profile and lipid homeostasis-related genes expression? Diabetol Metab Syndr 2020; 12:36. [PMID: 32368256 PMCID: PMC7191796 DOI: 10.1186/s13098-020-00544-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 04/22/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Recent studies point toward the possible regulatory roles of two lncRNAs; metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) and taurine upregulated gene 1 (TUG1) in the pathogenesis of obesity-related disorders and regulation of lipogenesis and adipogenesis. In an attempt to understand the molecules involved in human obesity pathogenesis, we aimed to evaluate the expression of MALAT1 and TUG1 in visceral adipose tissues (VAT) and subcutaneous adipose tissues (SAT) of obese women, as compared to normal-weight women. The mRNA expression of possible target genes including peroxisome proliferator-activated receptor gamma (PPARγ), PPARγ coactivator-1 alpha (PGC1α), sterol regulatory element-binding protein-1c (SREBP-1c), fatty acid synthase (FAS), and acetyl-CoA carboxylase (ACC) which are involved in adipogenesis and lipogenesis were also examined. METHODS This study was conducted on 20 obese [body mass index (BMI) ≥ 30 kg/m 2] female participants and 19 normal-weight (BMI < 25 kg/m 2) female participants. Real-time PCR was performed to investigate the mRNA expression of the above-mentioned genes in VAT and SAT from all participants. RESULTS The results showed lower mRNA levels of TUG1 in both the VAT and SAT of obese women, compared to normal-weight women. Furthermore, TUG1 expression in SAT positively correlated with BMI, waist circumference (WC), hip circumference, HOMA-IR, and insulin levels, eGFR value, creatinine levels, and hs-CRP in all participants independent of age and HOMA-IR. However, VAT mRNA expression of TUG1 had a positive correlation with obesity indices and HOMA-IR and insulin levels in the whole population. Moreover, SAT mRNA level of TUG1 was positively correlated with SAT gene expression of PGC1α, SREBP-1c, FAS, and ACC independent of age and HOMA-IR. Although mRNA expression of MALAT1 did not differ between two groups for any tissue, it was positively correlated with SAT mRNA levels of SREBP-1c, PPARγ, and their targets; FAS and ACC, as well as with VAT mRNA levels of PGC1α. CONCLUSIONS It seems likely that TUG1 with distinct expression pattern in VAT and SAT are involved in the regulation of lipogenic and adipogenic genes and obesity-related parameters. However, more studies are necessary to establish this concept.
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Affiliation(s)
- Reyhane Ebrahimi
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
- Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Karamollah Toolabi
- Department of Surgery, Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Naghmeh Jannat Ali Pour
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Samaneh Mohassel Azadi
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Alireza Bahiraee
- Students’ Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Fahimeh Zamani-Garmsiri
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Solaleh Emamgholipour
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
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Zhao S, Zhu Y, Schultz RD, Li N, He Z, Zhang Z, Caron A, Zhu Q, Sun K, Xiong W, Deng H, Sun J, Deng Y, Kim M, Lee CE, Gordillo R, Liu T, Odle AK, Childs GV, Zhang N, Kusminski CM, Elmquist JK, Williams KW, An Z, Scherer PE. Partial Leptin Reduction as an Insulin Sensitization and Weight Loss Strategy. Cell Metab 2019; 30:706-719.e6. [PMID: 31495688 PMCID: PMC6774814 DOI: 10.1016/j.cmet.2019.08.005] [Citation(s) in RCA: 160] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2019] [Revised: 07/17/2019] [Accepted: 08/07/2019] [Indexed: 12/12/2022]
Abstract
The physiological role of leptin is thought to be a driving force to reduce food intake and increase energy expenditure. However, leptin therapies in the clinic have failed to effectively treat obesity, predominantly due to a phenomenon referred to as leptin resistance. The mechanisms linking obesity and the associated leptin resistance remain largely unclear. With various mouse models and a leptin neutralizing antibody, we demonstrated that hyperleptinemia is a driving force for metabolic disorders. A partial reduction of plasma leptin levels in the context of obesity restores hypothalamic leptin sensitivity and effectively reduces weight gain and enhances insulin sensitivity. These results highlight that a partial reduction in plasma leptin levels leads to improved leptin sensitivity, while pointing to a new avenue for therapeutic interventions in the treatment of obesity and its associated comorbidities.
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Affiliation(s)
- Shangang Zhao
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Yi Zhu
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Robbie D Schultz
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Na Li
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Zhenyan He
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurosurgery and Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Zhuzhen Zhang
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Alexandre Caron
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Qingzhang Zhu
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kai Sun
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Center for Metabolic and Degenerative Diseases, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wei Xiong
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Hui Deng
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jia Sun
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Neurosurgery and Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510282, China
| | - Yingfeng Deng
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Min Kim
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA; Department of Biological Sciences, School of Life Sciences, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Charlotte E Lee
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Ruth Gordillo
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Tiemin Liu
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Angela K Odle
- Neurobiology & Developmental Sciences, College of Medicine, University of Arkansas for Medical Sciences
| | - Gwen V Childs
- Neurobiology & Developmental Sciences, College of Medicine, University of Arkansas for Medical Sciences
| | - Ningyan Zhang
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Christine M Kusminski
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Joel K Elmquist
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Kevin W Williams
- Division of Hypothalamic Research, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Zhiqiang An
- Texas Therapeutics Institute, Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Philipp E Scherer
- Touchstone Diabetes Center, Department of Internal Medicine, The University of Texas Southwestern Medical Center, Dallas, TX, USA.
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Abstract
The discovery of leptin changed the view of adipose tissue from that of a passive vessel that stores fat to that of a dynamic endocrine organ that actively regulates behaviour and metabolism. Secreted by adipose tissue, leptin functions as an afferent signal in a negative feedback loop, acting primarily on neurons in the hypothalamus and regulating feeding and many other functions. The leptin endocrine system serves a critical evolutionary function by maintaining the relative constancy of adipose tissue mass, thereby protecting individuals from the risks associated with being too thin (starvation and infertility) or too obese (predation). In this Review, the biology of leptin is summarized, and a conceptual framework is established for studying the pathogenesis of obesity, which, analogously to diabetes, can result from either leptin hyposecretion or leptin resistance. Herein, these two states are distinguished with the terms 'type 1 obesity' and 'type 2 obesity': type 1 obesity describes a subset of obese individuals with low endogenous plasma leptin levels who respond to leptin therapy, whereas type 2 obesity describes most obese individuals, who are leptin resistant but might respond to leptin therapy in combination with other drugs, such as leptin sensitizers.
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Affiliation(s)
- Jeffrey M Friedman
- Howard Hughes Medical Institute, The Rockefeller University, New York, NY, USA.
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75
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Abstract
Leptin is a key hormone in the homeostatic regulation of body weight. While past research focused mainly on overall leptin actions, a recent study by Dallner et al. (2019) takes a fresh look at the regulatory elements of the leptin gene locus, providing new insights into processes that modulate leptin levels.
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Affiliation(s)
- Heike Münzberg
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA.
| | - Steven B Heymsfield
- Pennington Biomedical Research Center, Louisiana State University System, Baton Rouge, LA, USA
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