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Ko S, Anzai A, Liu X, Kinouchi K, Yamanoi K, Torimitsu T, Ichihara G, Kitakata H, Shirakawa K, Katsumata Y, Endo J, Hayashi K, Yoshida M, Nishimori K, Tanaka KF, Onaka T, Sano M, Ieda M. Social Bonds Retain Oxytocin-Mediated Brain-Liver Axis to Retard Atherosclerosis. Circ Res 2025; 136:78-90. [PMID: 39601150 DOI: 10.1161/circresaha.124.324638] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 11/04/2024] [Accepted: 11/11/2024] [Indexed: 11/29/2024]
Abstract
BACKGROUNDS Social interaction with others is essential to life. Although social isolation and loneliness have been implicated as increased risks of cardiometabolic and cardiovascular diseases and all-cause mortality, the cellular and molecular mechanisms by which social connection maintains cardiometabolic and cardiovascular health remain largely unresolved. METHODS To investigate how social connection protects against cardiometabolic and cardiovascular diseases, atherosclerosis-prone, high-fat diet-fed Apoe-/- mouse siblings were randomly assigned to either individual or grouped housing for 12 weeks. Histological, flow cytometric, biochemical, gene, and protein analyses were performed to assess atherosclerotic lesions, systemic metabolism, inflammation, and stress response. The effects of oxytocin on hepatocytes and subsequent cardiometabolic and cardiovascular function were investigated by in vivo and in vitro approaches. RESULTS Apoe-/- mice housed individually developed larger vulnerable atherosclerotic lesions by disrupted lipid metabolism compared with those of mice in regular group housing, irrespective of body weight, eating behavior, feeding conditions, sympathetic nervous activity, glucocorticoid response, or systemic inflammation. Mechanistically, the chronic isolation reduced the hypothalamic production of oxytocin, which controls bile acid production and LPL (lipoprotein lipase) activity through the peripheral OXTR (oxytocin receptor) in hepatocytes, whose downstream targets include Cyp7a1, Angptl4, and Angptl8. While hepatocyte-specific OXTR-null mice and mice receiving adeno-associated virus targeting OXTR on hepatocytes led to severe dyslipidemia and aggravated atherosclerosis, oral oxytocin supplementation to socially isolated mice, but not to hepatocyte-specific OXTR conditional knockout mice, improved lipid profiles and retarded atherosclerosis development. CONCLUSIONS These results identify a novel brain-liver axis that links sociality to hepatic lipid metabolism, thus proposing a potential therapeutic strategy for loneliness-associated atherosclerosis progression.
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Affiliation(s)
- Seien Ko
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Atsushi Anzai
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Xueyuan Liu
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Kenichiro Kinouchi
- Department of Endocrinology, Metabolism, and Nephrology (K.K., T.T., K.H.), Keio University School of Medicine, Tokyo, Japan
| | - Kazuhiro Yamanoi
- Department of Pathology (K.Y.), Keio University School of Medicine, Tokyo, Japan
| | - Takuto Torimitsu
- Department of Endocrinology, Metabolism, and Nephrology (K.K., T.T., K.H.), Keio University School of Medicine, Tokyo, Japan
| | - Genki Ichihara
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Hiroki Kitakata
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Kohsuke Shirakawa
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Yoshinori Katsumata
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Jin Endo
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
| | - Kaori Hayashi
- Department of Endocrinology, Metabolism, and Nephrology (K.K., T.T., K.H.), Keio University School of Medicine, Tokyo, Japan
| | - Masahide Yoshida
- Division of Brain and Neurophysiology, Department of Physiology, Jichi Medical University, Tochigi, Japan (M.Y., T.O.)
| | - Katsuhiko Nishimori
- Department of Obesity and Internal Inflammation, Fukushima Medical University, Japan (K.N.)
| | - Kenji F Tanaka
- Division of Brain Sciences, Institute for Advanced Medical Research (K.F.T.), Keio University School of Medicine, Tokyo, Japan
| | - Tatsushi Onaka
- Division of Brain and Neurophysiology, Department of Physiology, Jichi Medical University, Tochigi, Japan (M.Y., T.O.)
| | - Motoaki Sano
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
- Department of Medicine and Clinical Science, Yamaguchi University Graduate School of Medicine, Japan (M.S.)
| | - Masaki Ieda
- Department of Cardiology (S.K., A.A., X.L., G.I., H.K., K.S., Y.K., J.E., M.S., M.I.), Keio University School of Medicine, Tokyo, Japan
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Gugliucci A. Angiopoietin-like Proteins and Lipoprotein Lipase: The Waltz Partners That Govern Triglyceride-Rich Lipoprotein Metabolism? Impact on Atherogenesis, Dietary Interventions, and Emerging Therapies. J Clin Med 2024; 13:5229. [PMID: 39274442 PMCID: PMC11396212 DOI: 10.3390/jcm13175229] [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: 08/22/2024] [Revised: 08/28/2024] [Accepted: 08/29/2024] [Indexed: 09/16/2024] Open
Abstract
Over 50% of patients who take statins are still at risk of developing atherosclerotic cardiovascular disease (ASCVD) and do not achieve their goal LDL-C levels. This residual risk is largely dependent on triglyceride-rich lipoproteins (TRL) and their remnants. In essence, remnant cholesterol-rich chylomicron (CM) and very-low-density lipoprotein (VLDL) particles play a role in atherogenesis. These remnants increase when lipoprotein lipase (LPL) activity is inhibited. ApoCIII has been thoroughly studied as a chief inhibitor and therapeutic options to curb its effect are available. On top of apoCIII regulation of LPL activity, there is a more precise control of LPL in various tissues, which makes it easier to physiologically divide the TRL burden according to the body's requirements. In general, oxidative tissues such as skeletal and cardiac muscle preferentially take up lipids during fasting. Conversely, LPL activity in adipocytes increases significantly after feeding, while its activity in oxidative tissues decreases concurrently. This perspective addresses the recent improvements in our understanding of circadian LPL regulations and their therapeutic implications. Three major tissue-specific lipolysis regulators have been identified: ANGPTL3, ANGPTL4, and ANGPTL8. Briefly, during the postprandial phase, liver ANGPTL8 acts on ANGPTL3 (which is released continuously from the liver) to inhibit LPL in the heart and muscle through an endocrine mechanism. On the other hand, when fasting, ANGPTL4, which is released by adipocytes, inhibits lipoprotein lipase in adipose tissue in a paracrine manner. ANGPTL3 inhibitors may play a therapeutic role in the treatment of hypertriglyceridemia. Several approaches are under development. We look forward to future studies to clarify (a) the nature of hormonal and nutritional factors that determine ANGPTL3, 4, and 8 activities, along with what long-term impacts may be expected if their regulation is impaired pharmacologically; (b) the understanding of the quantitative hierarchy and interaction of the regulatory actions of apoCIII, apoAV, and ANGPTL on LPL activity; (c) strategies for the safe and proper treatment of postprandial lipemia; and (d) the effect of fructose restriction on ANGPTL3, ANGPTL4, and ANGPTL8.
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Affiliation(s)
- Alejandro Gugliucci
- Glycation, Oxidation and Disease Laboratory, Touro University California, Vallejo, CA 94592, USA
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Pharmacogenetics of Cardiovascular Prevention in Diabetes: From Precision Medicine to Identification of Novel Targets. J Pers Med 2022; 12:jpm12091402. [PMID: 36143187 PMCID: PMC9504677 DOI: 10.3390/jpm12091402] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 01/02/2023] Open
Abstract
Pharmacogenetics—a branch of precision medicine—holds the promise of becoming a novel tool to reduce the social and healthcare burdens of cardiovascular disease (CVD) and coronary artery disease (CAD) in diabetes. The improvement in cardiovascular risk stratification resulting from adding genetic characteristics to clinical data has moved from the modest results obtained with genetic risk scores based on few genetic variants, to the progressively better performances of polygenic risk scores based on hundreds to millions of variants (CAD-PGRS). Similarly, over the past few years, the number of studies investigating the use of CAD-PGRS to identify different responses to cardio-preventive treatment has progressively increased, yielding striking results for lipid-lowering drugs such as proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors and statins. The use of CAD-PGRS to stratify patients based on their likely response to diabetes-specific interventions has been less successful, but promising results have been obtained with regard to specific genetic variants modulating the effects of interventions such as intensive glycemic control and fenofibrate. The finding of diabetes-specific CAD-loci, such as GLUL, has also led to the identification of promising new targets that might hopefully result in the development of specific therapies to reduce CVD burden in patients with diabetes. As reported in consensus statements from international diabetes societies, some of these pharmacogenetic approaches are expected to be introduced in clinical practice over the next decade. For this to happen, in addition to continuing to improve and validate these tools, it will be necessary to educate physicians and patients about the opportunities and limits of pharmacogenetics, as summarized in this review.
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Hübenthal M, Löscher BS, Erdmann J, Franke A, Gola D, König IR, Emmert H. Current Developments of Clinical Sequencing and the Clinical Utility of Polygenic Risk Scores in Inflammatory Diseases. Front Immunol 2021; 11:577677. [PMID: 33633722 PMCID: PMC7901950 DOI: 10.3389/fimmu.2020.577677] [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: 06/29/2020] [Accepted: 12/10/2020] [Indexed: 12/03/2022] Open
Abstract
In this mini-review, we highlight selected research by the Deutsche Forschungsgemeinschaft (DFG) Cluster of Excellence “Precision Medicine in Chronic Inflammation” focusing on clinical sequencing and the clinical utility of polygenic risk scores as well as its implication on precision medicine in the field of the inflammatory diseases inflammatory bowel disease, atopic dermatitis and coronary artery disease. Additionally, we highlight current developments and discuss challenges to be faced in the future. Exemplary, we point to residual challenges in detecting disease-relevant variants resulting from difficulties in the interpretation of candidate variants and their potential interactions. While polygenic risk scores represent promising tools for the stratification of patient groups, currently, polygenic risk scores are not accurate enough for clinical setting. Precision medicine, incorporating additional data from genomics, transcriptomics and proteomics experiments, may enable the identification of distinct disease pathogeneses. In the future, data-intensive biomedical innovation will hopefully lead to improved patient stratification for personalized medicine.
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Affiliation(s)
- Matthias Hübenthal
- Department of Dermatology, Quincke Research Center, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Britt-Sabina Löscher
- Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Lübeck, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts University of Kiel and University Hospital Schleswig-Holstein, Kiel, Germany
| | - Damian Gola
- Institute of Medical Biometry and Statistics, University of Lübeck, Lübeck, Germany
| | - Inke R König
- Institute of Medical Biometry and Statistics, University of Lübeck, Lübeck, Germany
| | - Hila Emmert
- Department of Dermatology, Quincke Research Center, University Hospital Schleswig-Holstein, Kiel, Germany
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5
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Hahn J, Fu YP, Brown MR, Bis JC, de Vries PS, Feitosa MF, Yanek LR, Weiss S, Giulianini F, Smith AV, Guo X, Bartz TM, Becker DM, Becker LC, Boerwinkle E, Brody JA, Chen YDI, Franco OH, Grove M, Harris TB, Hofman A, Hwang SJ, Kral BG, Launer LJ, Markus MRP, Rice KM, Rich SS, Ridker PM, Rivadeneira F, Rotter JI, Sotoodehnia N, Taylor KD, Uitterlinden AG, Völker U, Völzke H, Yao J, Chasman DI, Dörr M, Gudnason V, Mathias RA, Post W, Psaty BM, Dehghan A, O’Donnell CJ, Morrison AC. Genetic loci associated with prevalent and incident myocardial infarction and coronary heart disease in the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium. PLoS One 2020; 15:e0230035. [PMID: 33186364 PMCID: PMC7665790 DOI: 10.1371/journal.pone.0230035] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Accepted: 10/26/2020] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Genome-wide association studies have identified multiple genomic loci associated with coronary artery disease, but most are common variants in non-coding regions that provide limited information on causal genes and etiology of the disease. To overcome the limited scope that common variants provide, we focused our investigation on low-frequency and rare sequence variations primarily residing in coding regions of the genome. METHODS AND RESULTS Using samples of individuals of European ancestry from ten cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, both cross-sectional and prospective analyses were conducted to examine associations between genetic variants and myocardial infarction (MI), coronary heart disease (CHD), and all-cause mortality following these events. For prevalent events, a total of 27,349 participants of European ancestry, including 1831 prevalent MI cases and 2518 prevalent CHD cases were used. For incident cases, a total of 55,736 participants of European ancestry were included (3,031 incident MI cases and 5,425 incident CHD cases). There were 1,860 all-cause deaths among the 3,751 MI and CHD cases from six cohorts that contributed to the analysis of all-cause mortality. Single variant and gene-based analyses were performed separately in each cohort and then meta-analyzed for each outcome. A low-frequency intronic variant (rs988583) in PLCL1 was significantly associated with prevalent MI (OR = 1.80, 95% confidence interval: 1.43, 2.27; P = 7.12 × 10-7). We conducted gene-based burden tests for genes with a cumulative minor allele count (cMAC) ≥ 5 and variants with minor allele frequency (MAF) < 5%. TMPRSS5 and LDLRAD1 were significantly associated with prevalent MI and CHD, respectively, and RC3H2 and ANGPTL4 were significantly associated with incident MI and CHD, respectively. No loci were significantly associated with all-cause mortality following a MI or CHD event. CONCLUSION This study identified one known locus (ANGPTL4) and four new loci (PLCL1, RC3H2, TMPRSS5, and LDLRAD1) associated with cardiovascular disease risk that warrant further investigation.
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Affiliation(s)
- Julie Hahn
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Yi-Ping Fu
- Office of Biostatistics Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, United States of America
- Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts, United States of America
| | - Michael R. Brown
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Paul S. de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, Missouri, United States of America
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, The University Medicine and Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Albert Vernon Smith
- Icelandic Heart Association, Kovapvogur, Iceland
- Faculty of Medicine, University of Iceland, Reykajvik, Iceland
| | - 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, California, United States of America
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Biostatistics, The University of Washington, Seattle, Washington, United States of America
| | - Diane M. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, United States of America
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - 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, California, United States of America
| | - Oscar H. Franco
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Megan Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
| | - Tamara B. Harris
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, United States of America
| | - Albert Hofman
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Shih-Jen Hwang
- Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts, United States of America
| | - Brian G. Kral
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Lenore J. Launer
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Marcello R. P. Markus
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B - Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, The University Medicine Greifswald, Greifswald, Germany
| | - Kenneth M. Rice
- Department of Biostatistics, The University of Washington, Seattle, Washington, United States of America
| | - Stephen S. Rich
- Department of Medicine and Epidemiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Paul M. Ridker
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - 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, California, United States of America
| | - Nona Sotoodehnia
- Division of Cardiology, Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - 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, California, United States of America
| | - André G. Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, The University Medicine and Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Henry Völzke
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - 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, California, United States of America
| | - Daniel I. Chasman
- Division of Preventive Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B - Cardiology, Pneumology, Infectious Diseases, Intensive Care Medicine, The University Medicine Greifswald, Greifswald, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kovapvogur, Iceland
- Faculty of Medicine, University of Iceland, Reykajvik, Iceland
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Wendy Post
- Department of Medicine and Epidemiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, United States of America
- Department of Epidemiology, The University of Washington, Seattle, Washington, United States of America
- Department of Health Services, The University of Washington, Seattle, Washington, United States of America
- Kaiser Permanente Research Institute, Seattle, Washington, United States of America
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom
| | - Christopher J. O’Donnell
- Framingham Heart Study, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, Massachusetts, United States of America
- Harvard Medical School, Boston, Massachusetts, United States of America
- VA Boston Healthcare System, Veteran’s Affair, Boston, Massachusetts, United States of America
- Cardiovascular Medicine Division, Brigham and Women’s Hospital, Boston, Massachusetts, United States of America
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America
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6
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Morieri ML, Shah HS, Sjaarda J, Lenzini PA, Campbell H, Motsinger-Reif AA, Gao H, Lovato L, Prudente S, Pandolfi A, Pezzolesi MG, Sigal RJ, Paré G, Marcovina SM, Rotroff DM, Patorno E, Mercuri L, Trischitta V, Chew EY, Kraft P, Buse JB, Wagner MJ, Cresci S, Gerstein HC, Ginsberg HN, Mychaleckyj JC, Doria A. PPARA Polymorphism Influences the Cardiovascular Benefit of Fenofibrate in Type 2 Diabetes: Findings From ACCORD-Lipid. Diabetes 2020; 69:771-783. [PMID: 31974142 PMCID: PMC7085251 DOI: 10.2337/db19-0973] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 01/21/2020] [Indexed: 02/06/2023]
Abstract
The cardiovascular benefits of fibrates have been shown to be heterogeneous and to depend on the presence of atherogenic dyslipidemia. We investigated whether genetic variability in the PPARA gene, coding for the pharmacological target of fibrates (PPAR-α), could be used to improve the selection of patients with type 2 diabetes who may derive cardiovascular benefit from addition of this treatment to statins. We identified a common variant at the PPARA locus (rs6008845, C/T) displaying a study-wide significant influence on the effect of fenofibrate on major cardiovascular events (MACE) among 3,065 self-reported white subjects treated with simvastatin and randomized to fenofibrate or placebo in the ACCORD-Lipid trial. T/T homozygotes (36% of participants) experienced a 51% MACE reduction in response to fenofibrate (hazard ratio 0.49; 95% CI 0.34-0.72), whereas no benefit was observed for other genotypes (P interaction = 3.7 × 10-4). The rs6008845-by-fenofibrate interaction on MACE was replicated in African Americans from ACCORD (N = 585, P = 0.02) and in external cohorts (ACCORD-BP, ORIGIN, and TRIUMPH, total N = 3059, P = 0.005). Remarkably, rs6008845 T/T homozygotes experienced a cardiovascular benefit from fibrate even in the absence of atherogenic dyslipidemia. Among these individuals, but not among carriers of other genotypes, fenofibrate treatment was associated with lower circulating levels of CCL11-a proinflammatory and atherogenic chemokine also known as eotaxin (P for rs6008845-by-fenofibrate interaction = 0.003). The GTEx data set revealed regulatory functions of rs6008845 on PPARA expression in many tissues. In summary, we have found a common PPARA regulatory variant that influences the cardiovascular effects of fenofibrate and that could be used to identify patients with type 2 diabetes who would derive benefit from fenofibrate treatment, in addition to those with atherogenic dyslipidemia.
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Affiliation(s)
- Mario Luca Morieri
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Medicine, University of Padova, Padova, Italy
| | - Hetal S Shah
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jennifer Sjaarda
- McMaster University and Population Health Research Institute, Hamilton, Ontario, Canada
| | - Petra A Lenzini
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Hannah Campbell
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
- Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Alison A Motsinger-Reif
- Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, NC
| | - He Gao
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Laura Lovato
- Wake Forest School of Medicine, Winston Salem, NC
| | - Sabrina Prudente
- Research Unit of Metabolic and Cardiovascular Diseases, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Assunta Pandolfi
- Department of Medical, Oral and Biotechnological Sciences, University "G. d'Annunzio," Chieti, Italy
| | - Marcus G Pezzolesi
- Division of Nephrology and Hypertension and Diabetes and Metabolism Center, University of Utah, Salt Lake City, UT
| | - Ronald J Sigal
- Departments of Medicine, Cardiac Sciences, and Community Health Sciences, Cumming School of Medicine, Faculties of Medicine and Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Guillaume Paré
- McMaster University and Population Health Research Institute, Hamilton, Ontario, Canada
| | - Santica M Marcovina
- Department of Medicine, University of Washington, and Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA
| | - Daniel M Rotroff
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Elisabetta Patorno
- Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Luana Mercuri
- Research Unit of Metabolic and Cardiovascular Diseases, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Vincenzo Trischitta
- Research Unit of Metabolic and Cardiovascular Diseases, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- Department of Experimental Medicine, "Sapienza" University, Rome, Italy
| | - Emily Y Chew
- Division of Epidemiology and Clinical Applications, National Eye Institute, National Institutes of Health, Bethesda, MD
| | - Peter Kraft
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - John B Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Michael J Wagner
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Sharon Cresci
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
- Department of Medicine, Washington University School of Medicine, St. Louis, MO
| | - Hertzel C Gerstein
- McMaster University and Population Health Research Institute, Hamilton, Ontario, Canada
| | - Henry N Ginsberg
- Irving Institute for Clinical and Translational Research, Vagelos College of Physicians and Surgeons, Columbia University, New York, NY
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Alessandro Doria
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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7
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Abstract
Dyslipidemia is one of the major cardiovascular risk factors, but beyond statin treatment-which represents the cornerstone of therapy-a relevant practical uncertainty regards the use of fibrate derivatives. In the lack of successful results from the main cardiovascular trials, guidelines recommend the use of peroxisome proliferator-activated receptor agonists in selected cases, i.e. patients with true atherogenic dyslipidemia. However, recent observations indicate that fenofibrate treatment may provide a reliable complementary support against residual cardiovascular risk. We therefore summarize current evidence on fenofibrate, seeking to provide an updated interpretation of recent studies in the field.
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8
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Dharmaraj T, Guan Y, Liu J, Badens C, Gaborit B, Wilson KL. Rare BANF1 Alleles and Relatively Frequent EMD Alleles Including 'Healthy Lipid' Emerin p.D149H in the ExAC Cohort. Front Cell Dev Biol 2019; 7:48. [PMID: 31024910 PMCID: PMC6459885 DOI: 10.3389/fcell.2019.00048] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Accepted: 03/19/2019] [Indexed: 01/05/2023] Open
Abstract
Emerin (EMD) and barrier to autointegration factor 1 (BANF1) each bind A-type lamins (LMNA) as fundamental components of nuclear lamina structure. Mutations in LMNA, EMD and BANF1 are genetically linked to many tissue-specific disorders including Emery-Dreifuss muscular dystrophy and cardiomyopathy (LMNA, EMD), lipodystrophy, insulin resistance and type 2 diabetes (LMNA) and progeria (LMNA, BANF1). To explore human genetic variation in these genes, we analyzed EMD and BANF1 alleles in the Exome Aggregation Consortium (ExAC) cohort of 60,706 unrelated individuals. We identified 13 rare heterozygous BANF1 missense variants (p.T2S, p.H7Y, p.D9N, p.S22R, p.G25E, p.D55N, p.D57Y, p.L63P, p.N70T, p.K72R, p.R75W, p.R75Q, p.G79R), and one homozygous variant (p.D9H). Several variants are known (p.G25E) or predicted (e.g., p.D9H, p.D9N, p.L63P) to perturb BANF1 and warrant further study. Analysis of EMD revealed two previously identified variants associated with adult-onset cardiomyopathy (p.K37del, p.E35K) and one deemed 'benign' in an Emery-Dreifuss patient (p.D149H). Interestingly p.D149H was the most frequent emerin variant in ExAC, identified in 58 individuals (overall allele frequency 0.06645%), of whom 55 were East Asian (allele frequency 0.8297%). Furthermore, p.D149H associated with four 'healthy' traits: reduced triglycerides (-0.336; p = 0.0368), reduced waist circumference (-0.321; p = 0.0486), reduced cholesterol (-0.572; p = 0.000346) and reduced LDL cholesterol (-0.599; p = 0.000272). These traits are distinct from LMNA-associated metabolic disorders and provide the first insight that emerin influences metabolism. We also identified one novel in-frame deletion (p.F39del) and 62 novel emerin missense variants, many of which were relatively frequent and potentially disruptive including p.N91S and p.S143F (∼0.041% and ∼0.034% of non-Finnish Europeans, respectively), p.G156S (∼0.39% of Africans), p.R204G (∼0.18% of Latinx), p.R207P (∼0.08% of South Asians) and p.R221L (∼0.15% of Latinx). Many novel BANF1 variants are predicted to disrupt dimerization or binding to DNA, histones, emerin or A-type lamins. Many novel emerin variants are predicted to disrupt emerin filament dynamics or binding to BANF1, HDAC3, A-type lamins or other partners. These new human variants provide a foundational resource for future studies to test the molecular mechanisms of BANF1 and emerin function, and to understand the link between emerin variant p.D149H and a 'healthy' lipid profile.
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Affiliation(s)
- Tejas Dharmaraj
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Youchen Guan
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Julie Liu
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | | | | | - Katherine L Wilson
- Department of Cell Biology, Johns Hopkins University School of Medicine, Baltimore, MD, United States
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9
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Abstract
The past decade has witnessed an exponential increase in our ability to search the genome for genetic factors predisposing to cardiovascular disease (CVD) and in particular coronary heart disease (CHD). Identifying these genes could lead to the development of innovative strategies to prevent the cardiovascular complications of diabetes by allowing us to 1) create predictive algorithms for the identification of patients at especially high risk of CVD so that these individuals can undergo preventive interventions early in the natural history of the disease; 2) discover as yet unknown disease pathways linking diabetes to atherosclerosis, which can be used as targets for the development of new CVD-preventing drugs specifically directed at subjects with diabetes; and 3) devise personalized programs increasing the cost-effectiveness of preventive interventions by tailoring them to the genetic background of each patient. Substantial progress has been made in each of these three areas as exemplified by the recent development of a CHD genetic risk score improving CHD prediction among subjects with type 2 diabetes, the discovery of a diabetes-specific CHD locus on 1q25 pointing to glutamine synthase (GLUL) and the γ-glutamyl cycle as key regulators of CHD risk in diabetes, and the identification of two genetic loci allowing the selection of patients with type 2 diabetes who may especially benefit from intensive glycemic control. Translating these discoveries into clinical practice will not be without challenges, but the potential rewards, from the perspective of public health as well as that of persons with diabetes, make this goal worth pursuing.
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Affiliation(s)
- Alessandro Doria
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
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10
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Bailetti D, Bertoccini L, Mancina RM, Barchetta I, Capoccia D, Cossu E, Pujia A, Lenzi A, Leonetti F, Cavallo MG, Romeo S, Baroni MG. ANGPTL4 gene E40K variation protects against obesity-associated dyslipidemia in participants with obesity. Obes Sci Pract 2019; 5:83-90. [PMID: 30820332 PMCID: PMC6381304 DOI: 10.1002/osp4.311] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 11/05/2018] [Accepted: 11/08/2018] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVE ANGPTL4 inhibits lipoprotein lipase in adipose tissue, regulating plasma triglycerides levels. In persons with obesity plasma ANGPTL4 levels have been positively correlated with body fat mass, TG levels and low HDL. A loss-of-function E40K mutation in ANGPTL4 prevents LPL inhibition, resulting in lower TGs and higher HDLc in the general population. Since obesity determines metabolic alterations and consequently is a major risk factor for cardiovascular disease, the aim was to explore if obesity-related metabolic abnormalities are modified by the ANGPTL4-E40K mutation. METHODS ANGPTL4-E40K was screened in 1206 Italian participants, of which 863 (71.5%) with obesity. All subjects without diabetes underwent OGTT with calculation of indices of insulin-sensitivity. RESULTS Participants with obesity carrying the E40K variant had significantly lower TG (p = 0.001) and higher HDLc levels (p = 0.024). Also in the whole population low TGs and high HDLc were confirmed in E40K carriers. In the obese subpopulation it was observed that almost all E40K carriers were within the lowest quartile of TGs (p = 1.1 × 10-9). E40K had no substantial effect of on glucose metabolism. Finally, none of the obese E40K carriers had T2D, and together with the favourable lipid profile, they resemble a metabolically healthy obese (MHO) phenotype, compared to 38% of E40E wild-type obese that had diabetes and/or dyslipidaemia (p = 0.0106). CONCLUSIONS In participants with obesity the ANGPTL4-E40K variant protects against dyslipidemia. The phenotype of obese E40K carriers is that of a patient with obesity without metabolic alterations, similar to the phenotype described as metabolic healthy obesity.
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Affiliation(s)
- D. Bailetti
- Department of Experimental MedicineSapienza University of RomeItaly
| | - L. Bertoccini
- Department of Experimental MedicineSapienza University of RomeItaly
| | - R. M. Mancina
- Department of Molecular and Clinical MedicineUniversity of GothenburgSweden
| | - I. Barchetta
- Department of Experimental MedicineSapienza University of RomeItaly
| | - D. Capoccia
- Department of Experimental MedicineSapienza University of RomeItaly
| | - E. Cossu
- Department of Medical Sciences and Public HealthUniversity of CagliariItaly
| | - A. Pujia
- Department of Medical and Surgical Science, Nutrition UnitUniversity Magna Graecia of CatanzaroItaly
| | - A. Lenzi
- Department of Experimental MedicineSapienza University of RomeItaly
| | - F. Leonetti
- Department of Experimental MedicineSapienza University of RomeItaly
| | - M. G. Cavallo
- Department of Experimental MedicineSapienza University of RomeItaly
| | - S. Romeo
- Department of Molecular and Clinical MedicineUniversity of GothenburgSweden
- Department of Medical and Surgical Science, Nutrition UnitUniversity Magna Graecia of CatanzaroItaly
| | - M. G. Baroni
- Department of Experimental MedicineSapienza University of RomeItaly
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11
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Zhang X, Cheng M, Tong F, Su X. Association between RAGE variants and the susceptibility to atherosclerotic lesions in Chinese Han population. Exp Ther Med 2019; 17:2019-2030. [PMID: 30783474 PMCID: PMC6364181 DOI: 10.3892/etm.2019.7163] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 09/09/2018] [Indexed: 12/14/2022] Open
Abstract
Receptor for advanced glycation end products (RAGE) is a major proinflammatory receptor and its role in atherosclerosis has only been emphasized recently. Increasing evidence has demonstrated an association between RAGE and the susceptibility to atherosclerosis development. Therefore, the role of RAGE in atherogenesis and the possible impact of genetic variations in RAGE on the atherosclerotic process in subjects with coronary artery disease (CAD) was investigated in the present study. The RAGE expression in carotid specimens was analyzed by immunohistochemistry and sequence variations of the RAGE gene selected from the Hapmap database were also screened. The plasma levels of S100 calcium binding protein B (S100B) were determined by ELISA. Immunohistochemical staining of tissue samples demonstrated an increased RAGE expression in atherosclerotic carotid plaques compared with that in normal arteries. Furthermore, compared with the corresponding wild-type genotype, the rs2269422 single-nucleotide polymorphism of RAGE was associated with the susceptibility of patients with CAD to atherosclerosis. Furthermore, reverse transcription polymerase chain reaction and western blot analyses indicated increased coronary artery RAGE mRNA levels and protein expression, respectively, in CAD patients vs. control subjects. Furthermore, the plasma levels of S100B in CAD patients that were carriers of the AA/AT genotype of the rs2269422 variant of RAGE was increased compared with that in TT genotype carriers; as this was also identified in control subjects, it may not be CAD-specific. The RAGE rs2269422 variant is therefore significantly associated with an increased occurrence of CAD in the present Han Chinese population. Thus, RAGE variants significantly impact the risk of CAD in Han Chinese subjects.
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Affiliation(s)
- Xiaolin Zhang
- Department of Cardiology, Shenyang Military General Hospital, Shenyang, Liaoning 110840, P.R. China
| | - Minghui Cheng
- Department of Cardiology, Shenyang Military General Hospital, Shenyang, Liaoning 110840, P.R. China
| | - Fangnian Tong
- Department of Cardiology, Shenyang Military General Hospital, Shenyang, Liaoning 110840, P.R. China
| | - Xue Su
- Department of Cardiology, Shenyang Military General Hospital, Shenyang, Liaoning 110840, P.R. China
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12
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Morieri ML, Gao H, Pigeyre M, Shah HS, Sjaarda J, Mendonca C, Hastings T, Buranasupkajorn P, Motsinger-Reif AA, Rotroff DM, Sigal RJ, Marcovina SM, Kraft P, Buse JB, Wagner MJ, Gerstein HC, Mychaleckyj JC, Parè G, Doria A. Genetic Tools for Coronary Risk Assessment in Type 2 Diabetes: A Cohort Study From the ACCORD Clinical Trial. Diabetes Care 2018; 41:2404-2413. [PMID: 30262460 PMCID: PMC6196830 DOI: 10.2337/dc18-0709] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2018] [Accepted: 07/28/2018] [Indexed: 02/06/2023]
Abstract
OBJECTIVE We evaluated whether the increasing number of genetic loci for coronary artery disease (CAD) identified in the general population could be used to predict the risk of major CAD events (MCE) among participants with type 2 diabetes at high cardiovascular risk. RESEARCH DESIGN AND METHODS A weighted genetic risk score (GRS) derived from 204 variants representative of all the 160 CAD loci identified in the general population as of December 2017 was calculated in 5,360 and 1,931 white participants in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) and Outcome Reduction With Initial Glargine Intervention (ORIGIN) studies, respectively. The association between GRS and MCE (combining fatal CAD events, nonfatal myocardial infarction, and unstable angina) was assessed by Cox proportional hazards regression. RESULTS The GRS was associated with MCE risk in both ACCORD and ORIGIN (hazard ratio [HR] per SD 1.27, 95% CI 1.18-1.37, P = 4 × 10-10, and HR per SD 1.35, 95% CI 1.16-1.58, P = 2 × 10-4, respectively). This association was independent from interventions tested in the trials and persisted, though attenuated, after adjustment for classic cardiovascular risk predictors. Adding the GRS to clinical predictors improved incident MCE risk classification (relative integrated discrimination improvement +8%, P = 7 × 10-4). The performance of this GRS was superior to that of GRS based on the smaller number of CAD loci available in previous years. CONCLUSIONS When combined into a GRS, CAD loci identified in the general population are associated with CAD also in type 2 diabetes. This GRS provides a significant improvement in the ability to correctly predict future MCE, which may increase further with the discovery of new CAD loci.
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Affiliation(s)
- Mario Luca Morieri
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - He Gao
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Marie Pigeyre
- Department of Pathology and Molecular Medicine and Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Hetal S Shah
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jennifer Sjaarda
- Department of Pathology and Molecular Medicine and Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Christine Mendonca
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
| | - Timothy Hastings
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
| | - Patinut Buranasupkajorn
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Alison A Motsinger-Reif
- Bioinformatics Research Center and Department of Statistics, North Carolina State University, Raleigh, NC
| | - Daniel M Rotroff
- Bioinformatics Research Center and Department of Statistics, North Carolina State University, Raleigh, NC
| | - Ronald J Sigal
- Departments of Medicine, Cardiac Sciences, and Community Health Sciences, Cumming School of Medicine, and Faculties of Medicine and Kinesiology, University of Calgary, Calgary, Alberta, Canada
| | - Santica M Marcovina
- Department of Medicine, University of Washington, and Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA
| | - Peter Kraft
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - John B Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Michael J Wagner
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Hertzel C Gerstein
- Department of Medicine and Population Health Research Institute, McMaster University and Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Guillaume Parè
- Department of Pathology and Molecular Medicine and Population Health Research Institute, McMaster University, Hamilton, Ontario, Canada
| | - Alessandro Doria
- Section on Genetics and Epidemiology, Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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13
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Yang Q, Yin RX, Cao XL, Huang F, Zhou YJ, Chen WX. ANGPTL4 variants and their haplotypes are associated with serum lipid levels, the risk of coronary artery disease and ischemic stroke and atorvastatin cholesterol-lowering responses. Nutr Metab (Lond) 2018; 15:70. [PMID: 30323852 PMCID: PMC6173870 DOI: 10.1186/s12986-018-0308-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2018] [Accepted: 09/26/2018] [Indexed: 12/20/2022] Open
Abstract
Background This study aimed to assess the association between the angiopoietin-like protein 4 gene (ANGPTL4) single nucleotide polymorphisms (SNPs) and serum lipid levels, the risk of coronary artery disease (CAD) and ischemic stroke (IS), and response to atorvastatin therapy in a Southern Chinese Han population. Methods Genotypes of the ANGPTL4 rs4076317, rs7255436, rs1044250 and rs2967605 SNPs in 1,654 unrelated subjects (CAD, 568; IS, 537; and controls, 549) were determined by the Snapshot technology. Another group of 724 hyperlipidemic patients was selected and treated with atorvastatin calcium tablet 20 mg/day for 8 weeks. Results The rs2967605 CT/TT genotypes were associated with a decreased risk of CAD (adjusted OR = 0.68, 95% CI = 0.47-0.99, P = 0.043 for CT/TT vs. CC) and IS (adjusted OR = 0.55, 95% CI = 0.38-0.80, P = 0.020 for CT/TT vs. CC). There was no significant association between the four SNPs and angiographic severity of CAD. The subjects with the rs4076317 CG/CC genotypes in controls had higher total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C) levels than the subjects with the GG genotype (P < 0.001; a P < 0.0018 was regarded statistically significant by the Bonferroni correction). The subjects with rs4076317CG/GG genotypes had lower TC and LDL-C levels than the subjects with CC genotype after atorvastatin treatment (P < 0.001). Conclusions The observed associations suggest that the ANGPTL4 variants have a potential role on serum lipid levels and atherosclerosis-related diseases in the Chinese Han population, especially the ANGPTL4 rs4076317 and rs2967605 SNPs.
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Affiliation(s)
- Qian Yang
- 1Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
| | - Rui-Xing Yin
- 1Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
| | - Xiao-Li Cao
- 2Department of Neurology, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
| | - Feng Huang
- 1Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
| | - Yi-Jiang Zhou
- 1Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
| | - Wu-Xian Chen
- 1Department of Cardiology, Institute of Cardiovascular Diseases, the First Affiliated Hospital, Guangxi Medical University, Nanning, 530021 Guangxi People's Republic of China
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14
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Aryal B, Singh AK, Zhang X, Varela L, Rotllan N, Goedeke L, Chaube B, Camporez JP, Vatner DF, Horvath TL, Shulman GI, Suárez Y, Fernández-Hernando C. Absence of ANGPTL4 in adipose tissue improves glucose tolerance and attenuates atherogenesis. JCI Insight 2018; 3:97918. [PMID: 29563332 PMCID: PMC5926923 DOI: 10.1172/jci.insight.97918] [Citation(s) in RCA: 95] [Impact Index Per Article: 13.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2017] [Accepted: 02/14/2018] [Indexed: 12/12/2022] Open
Abstract
Alterations in ectopic lipid deposition and circulating lipids are major risk factors for developing cardiometabolic diseases. Angiopoietin-like protein 4 (ANGPTL4), a protein that inhibits lipoprotein lipase (LPL), controls fatty acid (FA) uptake in adipose and oxidative tissues and regulates circulating triacylglycerol-rich (TAG-rich) lipoproteins. Unfortunately, global depletion of ANGPTL4 results in severe metabolic abnormalities, inflammation, and fibrosis when mice are fed a high-fat diet (HFD), limiting our understanding of the contribution of ANGPTL4 in metabolic disorders. Here, we demonstrate that genetic ablation of ANGPTL4 in adipose tissue (AT) results in enhanced LPL activity, rapid clearance of circulating TAGs, increased AT lipolysis and FA oxidation, and decreased FA synthesis in AT. Most importantly, we found that absence of ANGPTL4 in AT prevents excessive ectopic lipid deposition in the liver and muscle, reducing novel PKC (nPKC) membrane translocation and enhancing insulin signaling. As a result, we observed a remarkable improvement in glucose tolerance in short-term HFD-fed AT-specific Angptl4-KO mice. Finally, lack of ANGPTL4 in AT enhances the clearance of proatherogenic lipoproteins, attenuates inflammation, and reduces atherosclerosis. Together, these findings uncovered an essential role of AT ANGPTL4 in regulating peripheral lipid deposition, influencing whole-body lipid and glucose metabolism and the progression of atherosclerosis.
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Affiliation(s)
- Binod Aryal
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | - Abhishek K. Singh
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | - Xinbo Zhang
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | - Luis Varela
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | - Noemi Rotllan
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | | | - Balkrishna Chaube
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | | | | | - Tamas L. Horvath
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
| | - Gerald I. Shulman
- Department of Internal Medicine
- Department of Cellular and Molecular Physiology, and Howard Hughes Medical Institute, and
| | - Yajaira Suárez
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Carlos Fernández-Hernando
- Vascular Biology and Therapeutics Program
- Integrative Cell Signaling and Neurobiology of Metabolism Program, Department of Comparative Medicine
- Department of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA
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15
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Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing. PLoS One 2017; 12:e0182828. [PMID: 28837672 PMCID: PMC5570368 DOI: 10.1371/journal.pone.0182828] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2017] [Accepted: 07/25/2017] [Indexed: 01/10/2023] Open
Abstract
Although diabetes mellitus (DM) causes cardiomyopathy and exacerbates heart failure, the underlying molecular mechanisms for diabetic cardiomyopathy/heart failure are poorly understood. Insulin2 mutant (Ins2+/-) Akita is a mouse model of T1DM, which manifests cardiac dysfunction. However, molecular changes at cardiac transcriptome level that lead to cardiomyopathy remain unclear. To understand the molecular changes in the heart of diabetic Akita mice, we profiled cardiac transcriptome of Ins2+/- Akita and Ins2+/+ control mice using next generation sequencing (NGS) and microarray, and determined the implications of differentially expressed genes on various heart failure signaling pathways using Ingenuity pathway (IPA) analysis. First, we validated hyperglycemia, increased cardiac fibrosis, and cardiac dysfunction in twelve-week male diabetic Akita. Then, we analyzed the transcriptome levels in the heart. NGS analyses on Akita heart revealed 137 differentially expressed transcripts, where Bone Morphogenic Protein-10 (BMP10) was the most upregulated and hairy and enhancer of split-related (HELT) was the most downregulated gene. Moreover, twelve long non-coding RNAs (lncRNAs) were upregulated. The microarray analyses on Akita heart showed 351 differentially expressed transcripts, where vomeronasal-1 receptor-180 (Vmn1r180) was the most upregulated and WD Repeat Domain 83 Opposite Strand (WDR83OS) was the most downregulated gene. Further, miR-101c and H19 lncRNA were upregulated but Neat1 lncRNA was downregulated in Akita heart. Eleven common genes were upregulated in Akita heart in both NGS and microarray analyses. IPA analyses revealed the role of these differentially expressed genes in key signaling pathways involved in diabetic cardiomyopathy. Our results provide a platform to initiate focused future studies by targeting these genes and/or non-coding RNAs, which are differentially expressed in Akita hearts and are involved in diabetic cardiomyopathy.
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