1
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Okamura T, Tsukamoto K, Arai H, Fujioka Y, Ishigaki Y, Koba S, Ohmura H, Shoji T, Yokote K, Yoshida H, Yoshida M, Deguchi J, Dobashi K, Fujiyoshi A, Hamaguchi H, Hara M, Harada-Shiba M, Hirata T, Iida M, Ikeda Y, Ishibashi S, Kanda H, Kihara S, Kitagawa K, Kodama S, Koseki M, Maezawa Y, Masuda D, Miida T, Miyamoto Y, Nishimura R, Node K, Noguchi M, Ohishi M, Saito I, Sawada S, Sone H, Takemoto M, Wakatsuki A, Yanai H. Japan Atherosclerosis Society (JAS) Guidelines for Prevention of Atherosclerotic Cardiovascular Diseases 2022. J Atheroscler Thromb 2024; 31:641-853. [PMID: 38123343 DOI: 10.5551/jat.gl2022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2023] Open
Affiliation(s)
- Tomonori Okamura
- Preventive Medicine and Public Health, Keio University School of Medicine
| | | | | | - Yoshio Fujioka
- Faculty of Nutrition, Division of Clinical Nutrition, Kobe Gakuin University
| | - Yasushi Ishigaki
- Division of Diabetes, Metabolism and Endocrinology, Department of Internal Medicine, Iwate Medical University
| | - Shinji Koba
- Division of Cardiology, Department of Medicine, Showa University School of Medicine
| | - Hirotoshi Ohmura
- Department of Cardiovascular Biology and Medicine, Juntendo University Graduate School of Medicine
| | - Tetsuo Shoji
- Department of Vascular Medicine, Osaka Metropolitan University Graduate school of Medicine
| | - Koutaro Yokote
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Hiroshi Yoshida
- Department of Laboratory Medicine, The Jikei University Kashiwa Hospital
| | | | - Juno Deguchi
- Department of Vascular Surgery, Saitama Medical Center, Saitama Medical University
| | - Kazushige Dobashi
- Department of Pediatrics, School of Medicine, University of Yamanashi
| | | | | | - Masumi Hara
- Department of Internal Medicine, Mizonokuchi Hospital, Teikyo University School of Medicine
| | - Mariko Harada-Shiba
- Cardiovascular Center, Osaka Medical and Pharmaceutical University
- Department of Molecular Pathogenesis, National Cerebral and Cardiovascular Center Research Institute
| | - Takumi Hirata
- Institute for Clinical and Translational Science, Nara Medical University
| | - Mami Iida
- Department of Internal Medicine and Cardiology, Gifu Prefectural General Medical Center
| | - Yoshiyuki Ikeda
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Shun Ishibashi
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Jichi Medical University, School of Medicine
- Current affiliation: Ishibashi Diabetes and Endocrine Clinic
| | - Hideyuki Kanda
- Department of Public Health, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University
| | - Shinji Kihara
- Medical Laboratory Science and Technology, Division of Health Sciences, Osaka University graduate School of medicine
| | - Kazuo Kitagawa
- Department of Neurology, Tokyo Women's Medical University Hospital
| | - Satoru Kodama
- Department of Prevention of Noncommunicable Diseases and Promotion of Health Checkup, Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Masahiro Koseki
- Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine
| | - Yoshiro Maezawa
- Department of Endocrinology, Hematology and Gerontology, Chiba University Graduate School of Medicine
| | - Daisaku Masuda
- Department of Cardiology, Center for Innovative Medicine and Therapeutics, Dementia Care Center, Doctor's Support Center, Health Care Center, Rinku General Medical Center
| | - Takashi Miida
- Department of Clinical Laboratory Medicine, Juntendo University Graduate School of Medicine
| | | | - Rimei Nishimura
- Department of Diabetes, Metabolism and Endocrinology, The Jikei University School of Medicine
| | - Koichi Node
- Department of Cardiovascular Medicine, Saga University
| | - Midori Noguchi
- Division of Public Health, Department of Social Medicine, Graduate School of Medicine, Osaka University
| | - Mitsuru Ohishi
- Department of Cardiovascular Medicine and Hypertension, Graduate School of Medical and Dental Sciences, Kagoshima University
| | - Isao Saito
- Department of Public Health and Epidemiology, Faculty of Medicine, Oita University
| | - Shojiro Sawada
- Division of Metabolism and Diabetes, Faculty of Medicine, Tohoku Medical and Pharmaceutical University
| | - Hirohito Sone
- Department of Hematology, Endocrinology and Metabolism, Niigata University Faculty of Medicine
| | - Minoru Takemoto
- Department of Diabetes, Metabolism and Endocrinology, International University of Health and Welfare
| | | | - Hidekatsu Yanai
- Department of Diabetes, Endocrinology and Metabolism, National Center for Global Health and Medicine Kohnodai Hospital
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2
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Khan A, Turchin MC, Patki A, Srinivasasainagendra V, Shang N, Nadukuru R, Jones AC, Malolepsza E, Dikilitas O, Kullo IJ, Schaid DJ, Karlson E, Ge T, Meigs JB, Smoller JW, Lange C, Crosslin DR, Jarvik GP, Bhatraju PK, Hellwege JN, Chandler P, Torvik LR, Fedotov A, Liu C, Kachulis C, Lennon N, Abul-Husn NS, Cho JH, Ionita-Laza I, Gharavi AG, Chung WK, Hripcsak G, Weng C, Nadkarni G, Irvin MR, Tiwari HK, Kenny EE, Limdi NA, Kiryluk K. Genome-wide polygenic score to predict chronic kidney disease across ancestries. Nat Med 2022; 28:1412-1420. [PMID: 35710995 PMCID: PMC9329233 DOI: 10.1038/s41591-022-01869-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2021] [Accepted: 05/11/2022] [Indexed: 01/03/2023]
Abstract
Chronic kidney disease (CKD) is a common complex condition associated with high morbidity and mortality. Polygenic prediction could enhance CKD screening and prevention; however, this approach has not been optimized for ancestrally diverse populations. By combining APOL1 risk genotypes with genome-wide association studies (GWAS) of kidney function, we designed, optimized and validated a genome-wide polygenic score (GPS) for CKD. The new GPS was tested in 15 independent cohorts, including 3 cohorts of European ancestry (n = 97,050), 6 cohorts of African ancestry (n = 14,544), 4 cohorts of Asian ancestry (n = 8,625) and 2 admixed Latinx cohorts (n = 3,625). We demonstrated score transferability with reproducible performance across all tested cohorts. The top 2% of the GPS was associated with nearly threefold increased risk of CKD across ancestries. In African ancestry cohorts, the APOL1 risk genotype and polygenic component of the GPS had additive effects on the risk of CKD.
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Affiliation(s)
- Atlas Khan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Michael C Turchin
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Amit Patki
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Vinodh Srinivasasainagendra
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ning Shang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Rajiv Nadukuru
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Alana C Jones
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | - Ozan Dikilitas
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Daniel J Schaid
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Elizabeth Karlson
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Tian Ge
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - James B Meigs
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
| | - Jordan W Smoller
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Christoph Lange
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - David R Crosslin
- Division of Biomedical Informatics and Genomics, John W. Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Gail P Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA, USA
| | - Pavan K Bhatraju
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Jacklyn N Hellwege
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Paulette Chandler
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Laura Rasmussen Torvik
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alex Fedotov
- Irving Institute for Clinical and Translational Research, Columbia University, New York, NY, USA
| | - Cong Liu
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | | | - Niall Lennon
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Noura S Abul-Husn
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Judy H Cho
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | | | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Wendy K Chung
- Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - George Hripcsak
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Girish Nadkarni
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Hemant K Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Genomic Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of General Internal Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Nita A Limdi
- Department of Neurology, School of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.
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3
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Neumann JT, Riaz M, Bakshi A, Polekhina G, Thao LTP, Nelson MR, Woods RL, Abraham G, Inouye M, Reid CM, Tonkin AM, McNeil J, Lacaze P. Prognostic Value of a Polygenic Risk Score for Coronary Heart Disease in Individuals Aged 70 Years and Older. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2022; 15:e003429. [PMID: 34949098 PMCID: PMC8847323 DOI: 10.1161/circgen.121.003429] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
BACKGROUND The use of a polygenic risk score (PRS) to improve risk prediction of coronary heart disease (CHD) events has been demonstrated to have clinical utility in the general adult population. However, the prognostic value of a PRS for CHD has not been examined specifically in older populations of individuals aged ≥70 years, who comprise a distinct high-risk subgroup. The objective of this study was to evaluate the predictive value of a PRS for incident CHD events in a prospective cohort of older individuals without a history of cardiovascular events. METHODS We used data from 12 792 genotyped, healthy older individuals enrolled into the ASPREE trial (Aspirin in Reducing Events in the Elderly), a randomized double-blind placebo-controlled clinical trial investigating the effect of daily 100 mg aspirin on disability-free survival. Participants had no previous history of diagnosed atherothrombotic cardiovascular events, dementia, or persistent physical disability at enrollment. We calculated a PRS (meta-genomic risk score) consisting of 1.7 million genetic variants. The primary outcome was a composite of incident myocardial infarction or CHD death over 5 years. RESULTS At baseline, the median population age was 73.9 years, and 54.9% were female. In total, 254 incident CHD events occurred. When the PRS was added to conventional risk factors, it was independently associated with CHD (hazard ratio, 1.24 [95% CI, 1.08-1.42], P=0.002). The area under the curve of the conventional model was 70.53 (95% CI, 67.00-74.06), and after inclusion of the PRS increased to 71.78 (95% CI, 68.32-75.24, P=0.019), demonstrating improved prediction. Reclassification was also improved, as the continuous net reclassification index after adding PRS to the conventional model was 0.25 (95% CI, 0.15-0.28). CONCLUSION A PRS for CHD performs well in older people and improves prediction over conventional cardiovascular risk factors. Our study provides evidence that genomic risk prediction for CHD has clinical utility in individuals aged 70 years and older. Registration: URL: https://www.clinicaltrials.gov; Unique identifier: NCT01038583.
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Affiliation(s)
- Johannes T. Neumann
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia;,Department of Cardiology, University Heart & Vascular Centre, Hamburg, Hamburg, Germany;,German Centre for Cardiovascular Research (DZHK), Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
| | - Moeen Riaz
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Andrew Bakshi
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Galina Polekhina
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Le T. P. Thao
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Mark R. Nelson
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia;,Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Robyn L. Woods
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Gad Abraham
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | - Michael Inouye
- Cambridge Baker Systems Genomics Initiative, Baker Heart and Diabetes Institute, Melbourne, VIC, Australia;,Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Christopher M. Reid
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia;,School of Public Health, Curtin University, Perth, WA, Australia
| | - Andrew M. Tonkin
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - John McNeil
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Paul Lacaze
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
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4
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Muse ED, Chen SF, Torkamani A. Monogenic and Polygenic Models of Coronary Artery Disease. Curr Cardiol Rep 2021; 23:107. [PMID: 34196841 DOI: 10.1007/s11886-021-01540-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/17/2021] [Indexed: 12/14/2022]
Abstract
PURPOSE OF THE REVIEW Coronary artery disease (CAD) is a common disease globally attributable to the interplay of complex genetic and lifestyle factors. Here, we review how genomic sequencing advances have broadened the fundamental understanding of the monogenic and polygenic contributions to CAD and how these insights can be utilized, in part by creating polygenic risk estimates, for improved disease risk stratification at the individual patient level. RECENT FINDINGS Initial studies linking premature CAD with rare familial cases of elevated blood lipids highlighted high-risk monogenic contributions, predominantly presenting as familial hypercholesterolemia (FH). More commonly CAD genetic risk is a function of multiple, higher frequency variants each imparting lower magnitude of risk, which can be combined to form polygenic risk scores (PRS) conveying significant risk to individuals at the extremes. However, gaps remain in clinical validation of PRSs, most notably in non-European populations. With improved and more broadly utilized genomic sequencing technologies, the genetic underpinnings of coronary artery disease are being unraveled. As a result, polygenic risk estimation is poised to become a widely used and powerful tool in the clinical setting. While the use of PRSs to augment current clinical risk stratification for optimization of cardiovascular disease risk by lifestyle change or therapeutic targeting is promising, we await adequately powered, prospective studies, demonstrating the clinical utility of polygenic risk estimation in practice.
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Affiliation(s)
- Evan D Muse
- Scripps Research Translational Institute, Scripps Research, 3344 N Torrey Pines Court, Suite 300, La Jolla, CA, 92037, USA.,Division of Cardiovascular Diseases, Scripps Clinic, La Jolla, CA, 92037, USA
| | - Shang-Fu Chen
- Scripps Research Translational Institute, Scripps Research, 3344 N Torrey Pines Court, Suite 300, La Jolla, CA, 92037, USA
| | - Ali Torkamani
- Scripps Research Translational Institute, Scripps Research, 3344 N Torrey Pines Court, Suite 300, La Jolla, CA, 92037, USA.
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5
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Georgakis MK, van der Laan SW, Asare Y, Mekke JM, Haitjema S, Schoneveld AH, de Jager SCA, Nurmohamed NS, Kroon J, Stroes ESG, de Kleijn DPV, de Borst GJ, Maegdefessel L, Soehnlein O, Pasterkamp G, Dichgans M. Monocyte-Chemoattractant Protein-1 Levels in Human Atherosclerotic Lesions Associate With Plaque Vulnerability. Arterioscler Thromb Vasc Biol 2021; 41:2038-2048. [PMID: 33827260 DOI: 10.1161/atvbaha.121.316091] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Marios K Georgakis
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (M.K.G., Y.A., M.D.)
| | - Sander W van der Laan
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, University of Utrecht, the Netherlands (S.W.v.d.L., S.C.A.d.J.)
| | - Yaw Asare
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (M.K.G., Y.A., M.D.)
| | - Joost M Mekke
- Department of Vascular Surgery, Division of Surgical Specialties (J.M.M., D.P.V.d.K., G.J.d.B.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Saskia Haitjema
- Center Diagnostic Laboratory, Division Laboratories and Pharmacy (S.H., A.H.S., G.P.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Arjan H Schoneveld
- Center Diagnostic Laboratory, Division Laboratories and Pharmacy (S.H., A.H.S., G.P.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Saskia C A de Jager
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, University of Utrecht, the Netherlands (S.W.v.d.L., S.C.A.d.J.)
| | - Nick S Nurmohamed
- Department of Vascular Medicine (N.S.N., E.S.G.S.), Amsterdam University Medical Centers (UMC), University of Amsterdam, the Netherlands.,Department of Cardiology (N.S.N.), Amsterdam University Medical Centers (UMC), University of Amsterdam, the Netherlands
| | - Jeffrey Kroon
- Department of Experimental Vascular Medicine, Amsterdam Cardiovascular Sciences (J.K.), Amsterdam University Medical Centers (UMC), University of Amsterdam, the Netherlands
| | - Erik S G Stroes
- Department of Vascular Medicine (N.S.N., E.S.G.S.), Amsterdam University Medical Centers (UMC), University of Amsterdam, the Netherlands
| | - Dominique P V de Kleijn
- Department of Vascular Surgery, Division of Surgical Specialties (J.M.M., D.P.V.d.K., G.J.d.B.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Gert J de Borst
- Department of Vascular Surgery, Division of Surgical Specialties (J.M.M., D.P.V.d.K., G.J.d.B.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Lars Maegdefessel
- Department for Vascular and Endovascular Surgery, Klinikum Rechts der Isar, Technical University Munich, Germany (L.M.).,German Center for Cardiovascular Research (DZHK partner site), Munich, Germany (L.M.)
| | - Oliver Soehnlein
- Institute for Cardiovascular Prevention, Klinikum LMU Munich, Germany (O.S.).,German Center for Cardiovascular Research, Partner Site Munich Heart Alliance, Munich, Germany (O.S.).,Department of Physiology and Pharmacology, Karolinska Institute, Stockholm, Sweden (O.S.).,Institute for Experimental Pathology (ExPat), Center for Molecular Biology of Inflammation, University of Münster, Germany (O.S.)
| | - Gerard Pasterkamp
- Center Diagnostic Laboratory, Division Laboratories and Pharmacy (S.H., A.H.S., G.P.), University Medical Centre Utrecht, Utrecht University, the Netherlands
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Germany (M.K.G., Y.A., M.D.).,Munich Cluster for Systems Neurology (SyNergy), Germany (M.D.)
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6
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Bellasi A, Di Lullo L, Raggi P. Is peritoneal dialysis superior to hemodialysis as far as cardiovascular risk? Another unsolved dilemma for maintenance dialysis. Atherosclerosis 2020; 307:75-77. [PMID: 32631625 DOI: 10.1016/j.atherosclerosis.2020.06.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Accepted: 06/11/2020] [Indexed: 01/15/2023]
Affiliation(s)
- Antonio Bellasi
- Research, Innovation and Brand Reputation, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Luca Di Lullo
- Department of Nephrology, Parodi Delfino Hospital, Colleferro, Rome, Italy
| | - Paolo Raggi
- Department of Medicine, Division of Cardiology, University of Alberta, Edmonton, Canada.
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7
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Tada H, Takamura M, Kawashiri MA. What is the mechanism of genetic contributions to the development of atherosclerosis? Atherosclerosis 2020; 307:72-74. [PMID: 32451078 DOI: 10.1016/j.atherosclerosis.2020.05.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 05/08/2020] [Indexed: 12/14/2022]
Affiliation(s)
- Hayato Tada
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan.
| | - Masayuki Takamura
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
| | - Masa-Aki Kawashiri
- Department of Cardiovascular Medicine, Kanazawa University Graduate School of Medical Sciences, Kanazawa, Japan
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