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Meena D, Huang J, Zare M, Hasbani NR, Romuald BOUAP, Mustafa R, van der Laan SW, Xu H, Terry JG, Bis JC, Jain D, Palmer ND, Heard-Costa N, Min YI, Guo X, Yao J, Taylor KD, Tan J, Peralta J, Pereira AC, Khan A, Choudhury A, Newman AB, Xiang AH, Hingorani A, Freedman BI, O’Donnell CJ, Giambartolomei C, Herrington DM, Jacobs DR, Klarin D, Wang FF, Heiss G, Doddapaneni H, Hodis HN, Broome J, Wilson JG, Brandenburg JT, Blangero J, Krieger JE, Smith JD, Viaud-Martinez KA, Ryan KA, Lange LA, Montasser ME, Mahaney MC, Mokry M, Fornage M, Munroe P, Gibbs RA, Tracy RP, Kim RW, Damrauer SM, Rich SS, Hsueh WA, Chen YDI, Morrison AC, Mitchell BD, Carr JJ, Psaty BM, Bowden DW, Vasan RS, Correa A, Post WS, Goodarzi MO, Raffel LJ, Curran JE, Ramsay M, Rotter JI, Elliott P, Franceschini N, de Vries PS, Tzoulaki I, Dehghan A. Genome-wide association study and multi-ancestry meta-analysis identify common variants associated with carotid artery intima-media thickness. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.04.11.25325582. [PMID: 40321265 PMCID: PMC12047956 DOI: 10.1101/2025.04.11.25325582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/12/2025]
Abstract
Carotid artery intima-media thickness (cIMT) is a measurement of subclinical atherosclerosis that predicts future cardiovascular events, including stroke and myocardial infarction. Genome-wide association studies (GWAS) have identified only a fraction of the genetic variants associated with cIMT. We performed the largest GWAS for cIMT involving up to 131,000 individuals. For the first time, we meta-analysed a diverse range of ancestries including populations with African, Asian (Chinese), Brazilian, European, and Hispanic ancestries. Our study identified 59 independent loci (53 loci from the multi-ancestry single variant analysis of which 19 are novel, P<5×10-8; 6 novel in gene-based analysis from single variant analysis, P=2.6×10-6, 2 novel in meta-regression) associated with cIMT. Gene-based, tissue-expression and gene-set enrichment analyses revealed novel genes of potential interest and highlighted significant relationships between vascular tissues (aorta, coronary and tibial arteries) and genetic associations. We found that circulatory levels of seven proteins, including ACAN, BCAM, DUT, ERI1, APOE, FN1, and GLRX were potentially causally associated with cIMT levels. We found a strong genome-wide correlation between cIMT and various cardiometabolic, smoking phenotypes, and lipid traits. Using Mendelian randomisation, our analyses provide robust evidence for causal associations between cIMT and several clinically relevant traits, including lipids, blood pressure, and waist circumference. Our study extends our genetic knowledge of atherosclerosis and highlights potential causal relations between risk factors, atherosclerosis and clinical diagnoses.
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Affiliation(s)
- Devendra Meena
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
| | - Jian Huang
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
| | - Marjan Zare
- Maternal-fetal medicine Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Natalie R. Hasbani
- 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, TX, USA
| | - BOUA Palwendé Romuald
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, CNRST, Burkina Faso
| | - Rima Mustafa
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
| | - Sander W van der Laan
- Central Diagnostics Laboratory, Division Laboratories, Pharmacy, and Biomedical genetics, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - James G. Terry
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Deepti Jain
- Genetic Analysis Center, Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nancy Heard-Costa
- Boston University School of Medicine, Boston, MA, USA
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
| | - Yuan-I Min
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - 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, USA
| | - 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, USA
| | - 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, USA
| | - Jingyi Tan
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Juan Peralta
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Alexandre C. Pereira
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of S√£o Paulo, S√£o Paulo, Brazil
| | - Alyna Khan
- Genetic Analysis Center, Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ananyo Choudhury
- Division of Human Genetics at the National Health Laboratory Service, University of the Witwatersrand, Johannesburg, South Africa
| | - Anne B. Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Anny H. Xiang
- Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA USA
| | - Aroon Hingorani
- Institute of Cardiovascular Science, Faculty of Population Health, University College London, London, United Kingdom
| | - Barry I. Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Christopher J. O’Donnell
- VA Boston Healthcare System, West Roxbury VA Medical Center, Cardiology Section, Boston, MA, USA
| | - Claudia Giambartolomei
- Department of Pathology and Laboratory Medicine, University of California (UCLA), Los Angeles, Los Angeles, CA, USA
| | - David M. Herrington
- Department of Internal Medicine, Section of Cardiovascular Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - David R. Jacobs
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Derek Klarin
- VA Palo Alto Healthcare System, Palo Alto, CA
- Department of Surgery, Stanford University Medical Center, Stanford, CA
| | - Fei Fei Wang
- Genetic Analysis Center, Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Gerardo Heiss
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | | | - Howard N. Hodis
- Department of Preventive Medicine, Department of Medicine, Atherosclerosis Research Unit, Keck School of Medicine, University of Southern California, Los Angeles, CA USA
| | - Jai Broome
- Genetic Analysis Center, Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - James G. Wilson
- Division of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Jean-Tristan Brandenburg
- Division of Human Genetics at the National Health Laboratory Service, University of the Witwatersrand, Johannesburg, South Africa
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Jose E Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of S√£o Paulo, S√£o Paulo, Brazil
| | - Josh D. Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Northwest Genomics Center, University of Washington, Seattle, WA, USA
| | | | - Kathleen A. Ryan
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Leslie A. Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - May E. Montasser
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michael C. Mahaney
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Michal Mokry
- Laboratory of Experimental Cardiology, Department of Cardiology, University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Myriam Fornage
- Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patricia Munroe
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, Charterhouse Square, London, UK
- NIHR Barts Biomedical Research Centre, Queen Mary University of London, Charterhouse Square, London, UK
| | - Richard A. Gibbs
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Russell P. Tracy
- Department of Pathology and Laboratory Medicine, Robert Larner, M.D. College of Medicine, University of Vermont, Burlington, VT, USA
| | | | - Scott M. Damrauer
- Division of Vascular Surgery, Hospital of the University of Pennsylvania, Philadelphia, PA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Willa A. Hsueh
- Department of Internal Medicine, The Ohio State University Wexner Medical Center, Columbus, OH USA
| | - 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, USA
| | | | - 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, TX, USA
| | - Braxton D. Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - John Jeffrey Carr
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Systems and Population Health, University of Washington, Seattle, WA, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ramachandran S. Vasan
- National Heart, Lung, and Blood Institute’s Framingham Heart Study, Framingham, MA, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Adolfo Correa
- Jackson Heart Study, Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Wendy S. Post
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Mark O. Goodarzi
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Cedars-Sinai Medical Center, Los Angeles, CA USA
| | - Leslie J. Raffel
- Division of Genetic and Genomic Medicine, Department of Pediatrics, University of California, Irvine, CA USA
| | - Joanne E. Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Michele Ramsay
- Division of Human Genetics at the National Health Laboratory Service, University of the Witwatersrand, Johannesburg, South Africa
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Paul Elliott
- MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK
- UK Dementia Research Institute, Imperial College London, London UK
- National Institute for Health Research Imperial College Biomedical Research Centre, Imperial College London, London, UK
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - 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, TX, USA
| | - Ioanna Tzoulaki
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
- British Heart Foundation Centre of Excellence, Imperial College London, London, UK
- Department of Hygiene and Epidemiology, University of Ioannina, Ioannina, Greece
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, Imperial College London School of Public Health, London, UK
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Li Y, Wang S, Liu L, Cai H, Huang Y, Gao M, Zhang X, Wu Q, Qiu G. (Apo)Lipoprotein Profiling with Multi-Omics Analysis Identified Medium-HDL-Targeting PSRC1 with Therapeutic Potential for Coronary Artery Disease. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2025; 12:e2413491. [PMID: 39985383 PMCID: PMC12005818 DOI: 10.1002/advs.202413491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Revised: 02/05/2025] [Indexed: 02/24/2025]
Abstract
Identification of (apo)lipoprotein subclasses causally underpinning atherosclerosis may lead to identification of novel drug targets for treatment of atherosclerotic cardiovascular disease (ASCVD). In this study, observational and genetic associations between (apo)lipoprotein profile and carotid intima-media thickness-assessed atherosclerosis, and risks of coronary artery disease (CAD) and ischemic stroke (IS) are assessed, using data from the UK Biobank study, with further exploration of potential drug target for these two ASCVD subtypes through multi-omics analysis integrating genetic, transcriptomic, and proteomic data. Cholesteryl ester content in medium high-density lipoprotein causally protective of atherosclerosis is identified, plus a target gene, PSRC1, with therapeutic potential for CAD, but not IS, supported by consistent evidence from multi-omics layers of data, which also reveals that such therapeutic potential may be through downregulation of circulating proteins including TRP1, GRNs, and Pla2g12b, and upregulation of Neo1. The results provide strong evidence as well as mechanistic clues of PSRC1's therapeutic potential for CAD.
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Affiliation(s)
- Yingmei Li
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | - Sihan Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | - Ling Liu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | - Hao Cai
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | - Yacan Huang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | - Mingjing Gao
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
| | | | - Qingqing Wu
- Department of CardiologyZhongnan Hospital of Wuhan UniversityWuhan430062China
- Institute of Myocardial Injury and RepairWuhan UniversityWuhan430062China
| | - Gaokun Qiu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating)School of Public HealthTongji Medical CollegeHuazhong University of Science and TechnologyWuhan430030China
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Daudali H, Anderson J, Bailey MES, Fradera A, Niedzwiedz CL, Lyall D, Lyall LMM, Strawbridge RJ. Genetic variation in circadian regulator gene BMAL1 in psychiatric, psychological and cardiometabolic traits: a trans-ancestry UK Biobank study. BMJ MENTAL HEALTH 2024; 27:e301267. [PMID: 39667926 PMCID: PMC11647332 DOI: 10.1136/bmjment-2024-301267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Accepted: 10/30/2024] [Indexed: 12/14/2024]
Abstract
BACKGROUND The link between cardiometabolic disease and mental illness has been well established but remains incompletely explained. One hypothesis suggests that circadian rhythm dysregulation links cardiometabolic disease and mental illnesses. BMAL1 is a circadian rhythm regulatory gene. Human genetic studies have implicated BMAL1 in depression, schizophrenia, bipolar disorder as well as body mass index, blood pressure and lipid levels. OBJECTIVE We investigated the BMAL1 locus genetic variants for associations with both cardiometabolic and mental illness. METHODS Genetic and phenotypic data from UK Biobank (~500 000 participants) of White British, African-Caribbean, South Asian, white European and Multiple ancestries were used. Regression analyses using Plink 1.09 was used to identify significant associations, with Bonferroni multiple testing correction. Multiple ancestry meta-analyses using METAL software was used to investigate trans-ancestry consistency in genetic effects. FINDINGS We identified associations for body mass index, anhedonia, diastolic and systolic blood pressure, waist-hip ratio, major depressive disorder, neuroticism and risk-taking. Meta-analyses indicated that there are ancestry-wide and ancestry-specific effects on cardiometabolic, mental illness and related traits. CONCLUSIONS Our results suggest that the associations for mental illness (and related traits) and those for cardiometabolic traits are distinct rather than shared and that these associations were consistent across ancestry groups. CLINICAL IMPLICATIONS Further investigation into the tissue-specific roles of BMAL1 is required to fully understand the clinical impact of these findings.
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Affiliation(s)
| | | | | | | | | | | | | | - Rona J Strawbridge
- University of Glasgow, Glasgow, UK
- Department of Medicine, Karolinska Institute, Stockholm, Sweden
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Omarov M, Zhang L, Jorshery SD, Malik R, Das B, Bellomo TR, Mansmann U, Menten MJ, Natarajan P, Dichgans M, Raghu VK, Anderson CD, Georgakis MK. Deep Learning-Based Detection of Carotid Plaques Informs Cardiovascular Risk Prediction and Reveals Genetic Drivers of Atherosclerosis. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.10.17.24315675. [PMID: 39484270 PMCID: PMC11527046 DOI: 10.1101/2024.10.17.24315675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/03/2024]
Abstract
Atherosclerotic cardiovascular disease, the leading cause of global mortality, is driven by lipid accumulation and plaque formation within arterial walls. Carotid plaques, detectable via ultrasound, are a well-established marker of subclinical atherosclerosis. In this study, we trained a deep learning model to detect plaques in 177,757 carotid ultrasound images from 19,499 UK Biobank (UKB) participants (aged 47-83 years) to assess the prevalence, risk factors, prognostic significance, and genetic architecture of carotid atherosclerosis in a large population-based cohort. The model demonstrated high performance metrics with accuracy, sensitivity, specificity, and positive predictive value of 89.3%, 89.5%, 89.2%, and 82.9%, respectively, identifying carotid plaques in 45% of the population. Plaque presence and count were significantly associated with future cardiovascular events over a median follow-up period of up to 7 years, leading to improved risk reclassification beyond established clinical prediction models. A genome-wide association study (GWAS) meta-analysis of carotid plaques (29,790 cases, 36,847 controls) uncovered two novel genomic loci (p < 5×10-8) with downstream analyses implicating lipoprotein(a) and interleukin-6 signaling, both targets of investigational drugs in advanced clinical development. Observational and Mendelian randomization analyses showed associations between smoking, low-density-lipoprotein (LDL) cholesterol, and high blood pressure and the odds of carotid plaque presence. Our study underscores the potential of carotid plaque assessment for improving cardiovascular risk prediction, provides novel insights into the genetic basis of subclinical atherosclerosis, and offers a valuable resource for advancing atherosclerosis research at the population scale.
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Affiliation(s)
- Murad Omarov
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Lanyue Zhang
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Saman Doroodgar Jorshery
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Rainer Malik
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Barnali Das
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
| | - Tiffany R. Bellomo
- Division of Vascular and Endovascular Surgery, Massachusetts General Hospital, Boston, MA, USA
| | - Ulrich Mansmann
- Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, LMU Munich, Munich, Germany
| | - Martin J. Menten
- BioMedIA, Department of Computing, Imperial College London, London, United Kingdom
- Institute for AI in Healthcare and Medicine, School of Computation, Information and Technology, Technical University of Munich, Munich, Germany
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
- Cardiovascular Disease Initiative, Broad Institute of Harvard and MIT, Cambridge, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
- German Center for Neurodegenerative Diseases, (DZNE, Munich), Munich, Germany
- German Centre for Cardiovascular Research (DZHK, Munich), Munich, Germany
| | - Vineet K. Raghu
- Cardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Christopher D. Anderson
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- McCance Center for Brain Health, Massachusetts General Hospital, Boston, MA, USA
- Department of Neurology, Brigham and Women’s Hospital, Boston, MA, USA
| | - Marios K. Georgakis
- Institute for Stroke and Dementia Research, LMU University Hospital, LMU Munich, Munich, Germany
- Program in Medical and Population Genetics and Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
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5
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Huang L, Li Y, Xu X, Chen W, Zhang Z, Sun L, Gao X. Longitudinal association between accelerometer-derived rest-activity rhythm and atherosclerotic cardiovascular disease. Sleep Med 2024; 121:8-14. [PMID: 38901303 DOI: 10.1016/j.sleep.2024.06.004] [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: 04/09/2024] [Revised: 06/04/2024] [Accepted: 06/06/2024] [Indexed: 06/22/2024]
Abstract
OBJECTIVE Rest-activity rhythm is an essential behavior for human health. However, the association between rest-activity rhythm and atherosclerotic cardiovascular disease (ASCVD) risk remains unclear. Therefore, this study aimed to elucidate the association. METHODS This study included 87,039 participants from the UK Biobank who had 7-day accelerometry data and were free of ASCVD at baseline. Relative amplitude was calculated as the difference between the most active continuous 10-h period (M10) and the least active continuous 5-h period (L5) in 24 h, and lower relative amplitude indicated the disruption of rest-activity rhythm. Cox proportional hazard model was used to examine the association of relative amplitude with ASCVD. Further, the linear association between relative amplitude and arterial stiffness measurements, including arterial stiffness index (ASI) and carotid intima-media thickness (cIMT), was examined. RESULTS During a mean follow-up period of 6.80 ± 1.10 years, 2798 ASCVD cases were identified. A dose-response relationship was observed between relative amplitude and ASCVD risk (P for trend<0.001). The adjusted hazard ratio, for the highest vs the lowest quintile of relative amplitude, was 1.54 (95 % confidence interval: 1.31, 1.79). Further, we found significant association of lower relative amplitude with ASI and cIMT. The onset timing of M10 at ≤06:00, 09:00, 10:00, or ≥11:00, as opposed to the reference time of 07:00, was associated with higher ASCVD risk. CONCLUSIONS Low rest-activity rhythm amplitude was associated with a higher risk of ASCVD. Rest-activity rhythm amplitude may provide a method to identify individuals at risk of ASCVD in public health and clinical practice.
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Affiliation(s)
- Lili Huang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Yaqi Li
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Xinming Xu
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Wei Chen
- Department of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Zhicheng Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China
| | - Liang Sun
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
| | - Xiang Gao
- Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
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Seyedhoseinpour A, Barzin M, Mahdavi M, Valizadeh M, Azizi F, Hosseinpanah F. Association between BMI trajectories from childhood to early adulthood and the carotid intima-media thickness in early adulthood: Tehran lipid and glucose study. BMC Public Health 2023; 23:2233. [PMID: 37957617 PMCID: PMC10641964 DOI: 10.1186/s12889-023-17184-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2023] [Accepted: 11/08/2023] [Indexed: 11/15/2023] Open
Abstract
BACKGROUND AND AIMS Childhood and adolescence overweight/obesity is an important predictor of obesity and increased long-term cardiometabolic abnormalities in adulthood. In this study, we aimed to investigate the association of body mass index (BMI) and waist circumference (WC) trajectories among children and adolescents with adulthood carotid intima-media thickness (cIMT) as a determinant of subclinical atherosclerosis. METHODS In this prospective cohort study, 1265 participants aged 3 to 18 were followed up for 18 years. By using Latent Class Growth Analysis, three groups of BMI and WC trajectory were defined; low stable, moderate-increasing, and high-increasing. Linear and logistic regression analysis were used to investigate the association of each lifetime BMI and WC trajectory group with cIMT. RESULTS Although the high-increasing BMI trajectory group was significantly associated with higher cIMT (ß=0.0464, P < 0.001), moderate-increase was not (ß=0.0096, P = 0.102); in reference to the low-stable BMI trajectory group. Among WC trajectory groups, both moderate- (ß=0.0177, P = 0.006) and high-increasing (ß=0.0533, P < 0.001), in reference to the low-stable group, were significantly associated with higher cIMT. The results did not change after adjustment for baseline BMI. The ORs of high-increasing BMI, moderate-increasing WC, and high-increasing WC trajectories were 3.24, 1.92, and 3.29, respectively for high cIMT. CONCLUSION Our study resulted that a high-increasing trajectory of childhood BMI and moderate- and high-increasing trajectories of childhood WC are associated with higher cIMT and higher risk of high-cIMT. Regular monitoring and screening of BMI and WC trajectory from childhood may improve identifying individuals with high risks of cardiovascular disease, more accurately.
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Affiliation(s)
- Amirhosein Seyedhoseinpour
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Mahdavi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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7
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Sakkers TR, Mokry M, Civelek M, Erdmann J, Pasterkamp G, Diez Benavente E, den Ruijter HM. Sex differences in the genetic and molecular mechanisms of coronary artery disease. Atherosclerosis 2023; 384:117279. [PMID: 37805337 DOI: 10.1016/j.atherosclerosis.2023.117279] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/09/2023] [Accepted: 09/01/2023] [Indexed: 10/09/2023]
Abstract
Sex differences in coronary artery disease (CAD) presentation, risk factors and prognosis have been widely studied. Similarly, studies on atherosclerosis have shown prominent sex differences in plaque biology. Our understanding of the underlying genetic and molecular mechanisms that drive these differences remains fragmented and largely understudied. Through reviewing genetic and epigenetic studies, we identified more than 40 sex-differential candidate genes (13 within known CAD loci) that may explain, at least in part, sex differences in vascular remodeling, lipid metabolism and endothelial dysfunction. Studies with transcriptomic and single-cell RNA sequencing data from atherosclerotic plaques highlight potential sex differences in smooth muscle cell and endothelial cell biology. Especially, phenotypic switching of smooth muscle cells seems to play a crucial role in female atherosclerosis. This matches the known sex differences in atherosclerotic phenotypes, with men being more prone to lipid-rich plaques, while women are more likely to develop fibrous plaques with endothelial dysfunction. To unravel the complex mechanisms that drive sex differences in CAD, increased statistical power and adjustments to study designs and analysis strategies are required. This entails increasing inclusion rates of women, performing well-defined sex-stratified analyses and the integration of multi-omics data.
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Affiliation(s)
- Tim R Sakkers
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Michal Mokry
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands; Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Mete Civelek
- Center for Public Health Genomics, University of Virginia, 1335 Lee St, Charlottesville, VA, 22908, USA; Department of Biomedical Engineering, University of Virginia, 351 McCormick Road, Charlottesville, VA, 22904, USA
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Gerard Pasterkamp
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Ernest Diez Benavente
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands.
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8
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Roeters van Lennep JE, Tokgözoğlu LS, Badimon L, Dumanski SM, Gulati M, Hess CN, Holven KB, Kavousi M, Kayıkçıoğlu M, Lutgens E, Michos ED, Prescott E, Stock JK, Tybjaerg-Hansen A, Wermer MJH, Benn M. Women, lipids, and atherosclerotic cardiovascular disease: a call to action from the European Atherosclerosis Society. Eur Heart J 2023; 44:4157-4173. [PMID: 37611089 PMCID: PMC10576616 DOI: 10.1093/eurheartj/ehad472] [Citation(s) in RCA: 64] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 08/25/2023] Open
Abstract
Cardiovascular disease is the leading cause of death in women and men globally, with most due to atherosclerotic cardiovascular disease (ASCVD). Despite progress during the last 30 years, ASCVD mortality is now increasing, with the fastest relative increase in middle-aged women. Missed or delayed diagnosis and undertreatment do not fully explain this burden of disease. Sex-specific factors, such as hypertensive disorders of pregnancy, premature menopause (especially primary ovarian insufficiency), and polycystic ovary syndrome are also relevant, with good evidence that these are associated with greater cardiovascular risk. This position statement from the European Atherosclerosis Society focuses on these factors, as well as sex-specific effects on lipids, including lipoprotein(a), over the life course in women which impact ASCVD risk. Women are also disproportionately impacted (in relative terms) by diabetes, chronic kidney disease, and auto-immune inflammatory disease. All these effects are compounded by sociocultural components related to gender. This panel stresses the need to identify and treat modifiable cardiovascular risk factors earlier in women, especially for those at risk due to sex-specific conditions, to reduce the unacceptably high burden of ASCVD in women.
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Affiliation(s)
- Jeanine E Roeters van Lennep
- Department of Internal Medicine, Cardiovascular Institute, Erasmus Medical Center, Dr. Molewaterplein 40, 3015 GD Rotterdam, The Netherlands
| | - Lale S Tokgözoğlu
- Department of Cardiology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Lina Badimon
- Cardiovascular Science Program-ICCC, IR-Hospital de la Santa Creu I Santa Pau, Ciber CV, Autonomous University of Barcelona, Barcelona, Spain
| | - Sandra M Dumanski
- Department of Medicine, Cumming School of Medicine, University of Calgary, Libin Cardiovascular Institute, and O’Brien Institute for Public Health, Calgary, Canada
| | - Martha Gulati
- Barbra Streisand Women’s Heart Center, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, USA
| | - Connie N Hess
- Division of Cardiology, Department of Medicine, University of Colorado School of Medicine, Aurora and CPC Clinical Research Aurora, CO, USA
| | - Kirsten B Holven
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, and National Advisory Unit on Familial Hypercholesterolemia, Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Meral Kayıkçıoğlu
- Department of Cardiology, Faculty of Medicine, Ege University, Izmir, Turkey
| | - Esther Lutgens
- Cardiovascular Medicine and Immunology, Mayo Clinic, Rochester, MN, USA
| | - Erin D Michos
- Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Eva Prescott
- Department of Cardiology, Bispebjerg University Hospital, Bispebjerg Bakke 23, 2400 Copenhagen, Denmark
| | - Jane K Stock
- European Atherosclerosis Society, Mässans Gata 10, SE-412 51 Gothenburg, Sweden
| | - Anne Tybjaerg-Hansen
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte Hospital, and Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology at University Medical Center Groningen, Groningen, The Netherlands
| | - Marianne Benn
- Department of Clinical Biochemistry, Copenhagen University Hospital-Rigshospitalet, The Copenhagen General Population Study, Copenhagen University Hospital-Herlev and Gentofte Hospital, and Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
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9
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Maitusong B, Laguzzi F, Strawbridge RJ, Baldassarre D, Veglia F, Humphries SE, Savonen K, Kurl S, Pirro M, Smit AJ, Giral P, Silveira A, Tremoli E, Hamsten A, de Faire U, Gigante B, Leander K. Cross-Sectional Gene-Smoking Interaction Analysis in Relation to Subclinical Atherosclerosis-Results From the IMPROVE Study. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:236-247. [PMID: 37021583 PMCID: PMC10284137 DOI: 10.1161/circgen.122.003710] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 01/29/2023] [Indexed: 04/07/2023]
Abstract
BACKGROUND Smoking is associated with carotid intima-media thickness (C-IMT). However, knowledge about how genetics may influence this association is limited. We aimed to perform nonhypothesis driven gene-smoking interaction analyses to identify potential genetic variants, among those included in immune and metabolic platforms, that may modify the effect of smoking on carotid intima-media thickness. METHODS We used baseline data from 1551 men and 1700 women, aged 55 to 79, included in a European multi-center study. Carotid intima-media thickness maximum, the maximum of values measured at different locations of the carotid tree, was dichotomized with cut point values ≥75, respectively. Genetic data were retrieved through use of the Illumina Cardio-Metabo- and Immuno- Chips. Gene-smoking interactions were evaluated through calculations of Synergy index (S). After adjustments for multiple testing, P values of <2.4×10-7 for S were considered significant. The models were adjusted for age, sex, education, physical activity, type of diet, and population stratification. RESULTS Our screening of 207 586 SNPs available for analysis, resulted in the identification of 47 significant gene-smoking synergistic interactions in relation to carotid intima-media thickness maximum. Among the significant SNPs, 28 were in protein coding genes, 2 in noncoding RNA and the remaining 17 in intergenic regions. CONCLUSIONS Through nonhypothesis-driven analyses of gene-smoking interactions, several significant results were observed. These may stimulate further research on the role of specific genes in the process that determines the effect of smoking habits on the development of carotid atherosclerosis.
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Affiliation(s)
- Buamina Maitusong
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, China (B.M.)
| | - Federica Laguzzi
- Unit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Rona J. Strawbridge
- Cardiovascular Medicine Unit, Department of Medicine Solna (R.J.S., B.G.), Karolinska Institutet, Stockholm, Sweden
- Mental Health & Wellbeing, Institute of Mental Health & Wellbeing, University of Glasgow (R.J.S.)
- Health Data Research, United Kingdom (R.J.S.)
| | - Damiano Baldassarre
- Department of Medical Biotechnology & Translational Medicine, Università degli Studi di Milano (D.B.)
- Centro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.)
| | - Fabrizio Veglia
- Centro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.)
| | - Steve E. Humphries
- Cardiovascular Genetics, Institute Cardiovascular Science, University College London, United Kingdom (S.E.H.)
| | - Kai Savonen
- Foundation for Research in Health Exercise & Nutrition, Kuopio & Research Institute of Exercise Medicine, Kuopio, Finland (K.S.)
- Department of Clinical Physiology & Nuclear Medicine, Kuopio University Hospital (K.S.)
| | - Sudhir Kurl
- Institute of Public Health & Clinical Nutrition, University of Eastern Finland, Kuopio (S.K.)
| | - Matteo Pirro
- Unit of Internal Medicine, Angiology & Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Italy (M.P.)
| | - Andries J. Smit
- Department of Medicine, University Medical Center Groningen, the Netherlands (A.J.S.)
| | - Philippe Giral
- Unités de Prévention Cardiovasculaire, Assistance Publique-Hôpitaux de Paris, Service Endocrinologie-Métabolisme, Groupe Hospitalier Pitié-Salpétrière, France (P.G.)
| | - Angela Silveira
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet & Karolinska Hospital, Stockholm, Sweden (A.S., A.H.)
| | - Elena Tremoli
- Centro Cardiologico Monzino, IRCCS, Milan, Italy (D.B., F.V., E.T.)
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet & Karolinska Hospital, Stockholm, Sweden (A.S., A.H.)
| | - Ulf de Faire
- Unit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna (R.J.S., B.G.), Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Unit of Cardiovascular & Nutritional Epidemiology, Institute of Environmental Medicine (F.L., U.d.F., K.L.), Karolinska Institutet, Stockholm, Sweden
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10
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Kim HJ, Cheng P, Travisano S, Weldy C, Monteiro JP, Kundu R, Nguyen T, Sharma D, Shi H, Lin Y, Liu B, Haldar S, Jackson S, Quertermous T. Molecular mechanisms of coronary artery disease risk at the PDGFD locus. Nat Commun 2023; 14:847. [PMID: 36792607 PMCID: PMC9932166 DOI: 10.1038/s41467-023-36518-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 02/03/2023] [Indexed: 02/17/2023] Open
Abstract
Genome wide association studies for coronary artery disease (CAD) have identified a risk locus at 11q22.3. Here, we verify with mechanistic studies that rs2019090 and PDGFD represent the functional variant and gene at this locus. Further, FOXC1/C2 transcription factor binding at rs2019090 is shown to promote PDGFD transcription through the CAD promoting allele. With single cell transcriptomic and histology studies with Pdgfd knockdown in an SMC lineage tracing male atherosclerosis mouse model we find that Pdgfd promotes expansion, migration, and transition of SMC lineage cells to the chondromyocyte phenotype. Pdgfd also increases adventitial fibroblast and pericyte expression of chemokines and leukocyte adhesion molecules, which is linked to plaque macrophage recruitment. Despite these changes there is no effect of Pdgfd deletion on overall plaque burden. These findings suggest that PDGFD mediates CAD risk by promoting deleterious phenotypic changes in SMC, along with an inflammatory response that is primarily focused in the adventitia.
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Affiliation(s)
- Hyun-Jung Kim
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Paul Cheng
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Stanislao Travisano
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Chad Weldy
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - João P Monteiro
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Ramendra Kundu
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Trieu Nguyen
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Disha Sharma
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Huitong Shi
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA
| | - Yi Lin
- Research Center for Intelligent Computing Platforms, Zhejiang Laboratory, Hangzhou, 311121, China
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, 117543, Singapore
- Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Boxiang Liu
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore, 117543, Singapore
- Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Saptarsi Haldar
- Amgen Inc., 1120 Veterans Blvd, South San Francisco, CA, 94080, USA
| | - Simon Jackson
- Amgen Inc., 1120 Veterans Blvd, South San Francisco, CA, 94080, USA
| | - Thomas Quertermous
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA, 94305, USA.
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11
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Cao L, Liu D, Karhunen V, Ren Y, Ye D, Gao J, Gill D, Wang M. Circulating macrophage colony-stimulating factor levels and stroke: A Mendelian randomization study. J Stroke Cerebrovasc Dis 2023; 32:107050. [PMID: 36780760 DOI: 10.1016/j.jstrokecerebrovasdis.2023.107050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 01/30/2023] [Accepted: 02/03/2023] [Indexed: 02/13/2023] Open
Abstract
OBJECTIVES Colony-stimulating factor 1 (CSF1), also known as macrophage colony-stimulating factor, has been shown to be associated with risk of ischemic stroke in conventional epidemiological study. We performed a Mendelian randomization analysis to evaluate the effects of genetically predicted circulating CSF1 levels on stroke and carotid intima-media thickness (cIMT). METHODS Genetic variants robustly associated with CSF1 levels, located in the vicinity of the CSF1 gene (cis), were used as instruments for CSF1 levels. Genetic association estimates for ischemic stroke and its subtypes, intra-cerebral hemorrhage (ICH), and cIMT were obtained from MEGASTROKE (60,341 cases and 454,450 controls), ISGC (1,545 cases and 1,481 controls), and UK Biobank (22,179 individuals), respectively. RESULTS Genetically predicted higher CSF1 levels was significantly associated with a higher risk of any ischemic stroke, large artery stroke (LAS) and cardioembolic stroke (CES), but not with small vessel stroke (SVS) and ICH. The odds ratios (ORs) per genetically predicted one standard deviation (SD) increase in circulating CSF1 levels were 1.11 (95% CI 1.04-1.17) for any ischemic stroke, 1.23 (95% CI 1.07-1.42) for LAS, 1.18 (95% CI 1.05-1.33) for CES, 1.07 (95% CI 0.94-1.21) for SVS, and 1.15 (95% CI 0.73-1.83) for ICH. Similarly, we also found that genetically predicted higher CSF1 levels were associated with higher cIMT, as a measure of subclinical atherosclerosis (cIMT, β 0.016, 95% CI, 0.004-0.029). CONCLUSIONS This study provides evidence that genetically predicted higher CSF1 levels was associated with higher risk of any ischemic stroke, LAS, and CES. Whether targeting CSF1 or its receptors can reduce the risk of ischemic stroke needs further study.
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Affiliation(s)
- Liping Cao
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Dandan Liu
- Department of Integrated Traditional Chinese and Western Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Ville Karhunen
- Research Unit of Mathematical Sciences, University of Oulu, Oulu, Finland; Center for Life Course Health Research, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Yi Ren
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Dan Ye
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China
| | - Jie Gao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, St Mary's Hospital, Imperial College London, London, United Kingdom
| | - Mengmeng Wang
- Department of Neurology, The Third Affiliated Hospital of Soochow University, Changzhou, China.
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12
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Kim HJ, Cheng P, Travisano S, Weldy C, Monteiro JP, Kundu R, Nguyen T, Sharma D, Shi H, Lin Y, Liu B, Haldar S, Jackson S, Quertermous T. Molecular mechanisms of coronary artery disease risk at the PDGFD locus. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.26.525789. [PMID: 36747745 PMCID: PMC9900883 DOI: 10.1101/2023.01.26.525789] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
Platelet derived growth factor (PDGF) signaling has been extensively studied in the context of vascular disease, but the genetics of this pathway remain to be established. Genome wide association studies (GWAS) for coronary artery disease (CAD) have identified a risk locus at 11q22.3, and we have verified with fine mapping approaches that the regulatory variant rs2019090 and PDGFD represent the functional variant and putative functional gene. Further, FOXC1/C2 transcription factor (TF) binding at rs2019090 was found to promote PDGFD transcription through the CAD promoting allele. Employing a constitutive Pdgfd knockout allele along with SMC lineage tracing in a male atherosclerosis mouse model we mapped single cell transcriptomic, cell state, and lesion anatomical changes associated with gene loss. These studies revealed that Pdgfd promotes expansion, migration, and transition of SMC lineage cells to the chondromyocyte phenotype and vascular calcification. This is in contrast to protective CAD genes TCF21, ZEB2, and SMAD3 which we have shown to promote the fibroblast-like cell transition or perturb the pattern or extent of transition to the chondromyocyte phenotype. Further, Pdgfd expressing fibroblasts and pericytes exhibited greater expression of chemokines and leukocyte adhesion molecules, consistent with observed increased macrophage recruitment to the plaque. Despite these changes there was no effect of Pdgfd deletion on SMC contribution to the fibrous cap or overall lesion burden. These findings suggest that PDGFD mediates CAD risk through promoting SMC expansion and migration, in conjunction with deleterious phenotypic changes, and through promoting an inflammatory response that is primarily focused in the adventitia where it contributes to leukocyte trafficking to the diseased vessel wall.
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Affiliation(s)
- Hyun-Jung Kim
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Paul Cheng
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Stanislao Travisano
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Chad Weldy
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - João P. Monteiro
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Ramendra Kundu
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Trieu Nguyen
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Disha Sharma
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Huitong Shi
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
| | - Yi Lin
- Research Center for Intelligent Computing Platforms, Zhejiang Laboratory, China 311121
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 117543
- Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228
| | - Boxiang Liu
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore 117543
- Department of Biomedical Informatics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228
| | - Saptarsi Haldar
- Amgen Inc., 1120 Veterans Blvd, South San Francisco, CA 94080
| | - Simon Jackson
- Amgen Inc., 1120 Veterans Blvd, South San Francisco, CA 94080
| | - Thomas Quertermous
- Division of Cardiovascular Medicine, 300 Pasteur Drive, Falk CVRC, Stanford, CA; 94305
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13
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Schoepf IC, Thorball CW, Kovari H, Ledergerber B, Buechel RR, Calmy A, Weber R, Kaufmann PA, Nkoulou R, Schwenke JM, Braun DL, Fellay J, Tarr PE. Polygenic Risk Scores for Prediction of Subclinical Coronary Artery Disease in Persons With Human Immunodeficiency Virus (HIV): The Swiss HIV Cohort Study. Clin Infect Dis 2023; 76:48-56. [PMID: 36097729 DOI: 10.1093/cid/ciac758] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 08/16/2022] [Accepted: 09/08/2022] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND In people with human immunodeficiency virus (HIV) (PWH), individual polygenic risk scores (PRSs) are associated with coronary artery disease (CAD) events. Whether PRSs are associated with subclinical CAD is unknown. METHODS In Swiss HIV Cohort Study participants of European descent, we defined subclinical CAD as presence of soft, mixed, or high-risk plaque (SMHRP) on coronary computed tomography (CT) angiography, or as participants in the top tertile of the study population's coronary artery calcium (CAC) score, using noncontrast CT. We obtained univariable and multivariable odds ratios (ORs) for subclinical CAD endpoints based on nongenetic risk factors, and validated genome-wide PRSs built from single nucleotide polymorphisms associated with CAD, carotid intima-media thickness (IMT), or longevity in the general population. RESULTS We included 345 genotyped participants (median age, 53 years; 89% male; 96% suppressed HIV RNA); 172 and 127 participants had SMHRP and CAC, respectively. CAD-associated PRS and IMT-associated PRS were associated with SMHRP and CAC (all P < .01), but longevity PRS was not. Participants with unfavorable CAD-PRS (top quintile) had an adjusted SMHRP OR = 2.58 (95% confidence interval [CI], 1.18-5.67), and a CAC OR = 3.95 (95% CI, 1.45-10.77) vs. bottom quintile. Unfavorable nongenetic risk (top vs. bottom quintile) was associated with adjusted SMHRP OR = 24.01 (95% CI, 9.75-59.11), and a CAC-OR = 65.07 (95% CI, 18.48-229.15). Area under the receiver operating characteristic curve increased when we added CAD-PRS to nongenetic risk factors (SMHRP: 0.75 and 0.78, respectively; CAC: 0.80 and 0.83, respectively). CONCLUSIONS In Swiss PWH, subclinical CAD is independently associated with an individual CAD-associated PRS. Combining nongenetic and genetic cardiovascular risk factors provided the most powerful subclinical CAD prediction.
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Affiliation(s)
- Isabella C Schoepf
- Department of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.,Hepatology, Department for Visceral Surgery and Medicine, Bern University Hospital, University of Bern, Bern, Switzerland.,University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Christian W Thorball
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Helen Kovari
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Bruno Ledergerber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ronny R Buechel
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Alexandra Calmy
- Division of Infectious Disease, Geneva University Hospital, Geneva, Switzerland
| | - Rainer Weber
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Philipp A Kaufmann
- Department of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - René Nkoulou
- Division of Cardiology, University Hospital Geneva, University of Geneva, Geneva, Switzerland
| | - Johannes M Schwenke
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
| | - Dominique L Braun
- Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.,School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Philip E Tarr
- University Department of Medicine and Infectious Diseases Service, Kantonsspital Baselland, University of Basel, Bruderholz, Switzerland
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14
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Velásquez IM, Malarstig A, Baldassarre D, Borne Y, de Faire U, Engström G, Eriksson P, Giral P, Humphries SE, Kurl S, Leander K, Lind L, Lindén A, Orsini N, Pirro M, Silveira A, Smit AJ, Tremoli E, Veglia F, Strawbridge RJ, Gigante B. Causal analysis of plasma IL-8 on carotid intima media thickness, a measure of subclinical atherosclerosis. Curr Res Transl Med 2023; 71:103374. [PMID: 36493747 DOI: 10.1016/j.retram.2022.103374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Revised: 11/21/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND We investigated the causality of IL-8 on carotid intima-media thickness (c-IMT), a measure of sub-clinical atherosclerosis. METHODS The IMPROVE is a multicenter European study (n = 3,711). The association of plasma IL-8 with c-IMT (mm) was estimated by quantile regression. Genotyping was performed using the Illumina CardioMetabo and Immuno chips. Replication was attempted in three independent studies and a meta-analysis was performed using a random model. RESULTS In IMPROVE, each unit increase in plasma IL-8 was associated with an increase in median c-IMT measures (all p<0·03) in multivariable analyses. Linear regression identified rs117518778 and rs8057084 as associated with IL-8 levels and with measures of c-IMT. The two SNPs were combined in an IL-8-increasing genetic risk that showed causality of IL-8 on c-IMT in IMPROVE and in the UK Biobank (n = 22,179). The effect of IL-8 on c-IMT measures was confirmed in PIVUS (n = 1,016) and MDCCC (n = 6,103). The association of rs8057084 with c-IMT was confirmed in PIVUS and UK Biobank with a pooled estimate effect (β) of -0·006 with 95%CI (-0·008- -0·003). CONCLUSION Our results indicate that genetic variants associated with plasma IL-8 also associate with c-IMT. However, we cannot infer causality of this association, as these variants lie outside of the IL8 locus.
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Affiliation(s)
- Ilais Moreno Velásquez
- Gorgas Memorial Institute for Health Studies, Panama City, Panama; Max Delbrück Center for Molecular Medicine in the Helmholtz-Association, Molecular Epidemiology Research Group, Berlin, Germany
| | - Anders Malarstig
- Division of Cardiovascular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Emerging Science and Innovation, Pfizer Worldwide Research, Development and Medical, Stockholm, Sweden
| | - Damiano Baldassarre
- Department of Medical Biotechnology and Translational Medicine, Università di Milano, Milan, Italy; Centro Cardiologico Monzino, IRCCS, Milan, Italy
| | - Yan Borne
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Ulf de Faire
- Cardiovascular and Nutritional Epidemiology Unit, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Gunnar Engström
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Per Eriksson
- Division of Cardiovascular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital Solna, Stockholm, Sweden
| | - Philippe Giral
- Sorbonne Université, INSERM UMR1166, Cardiovascular prevention unit, AP-HP, Groupe Hôpitalier Pitié-Salpetriere, Paris, France
| | - Steve E Humphries
- Cardiovascular Genetics, Institute Cardiovascular Science, University College London, United Kingdom
| | - Sudhir Kurl
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Karin Leander
- Cardiovascular and Nutritional Epidemiology Unit, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Lars Lind
- Department of Medical Sciences, Clinical Epidemiology, Uppsala University, Uppsala, Sweden
| | - Anders Lindén
- Unit for Lung and Airway Research, Institute of Environmental Medicine, Stockholm, Sweden; Karolinska Severe COPD Center, Department of Respiratory Medicine and Allergy, Karolinska University Hospital, Stockholm, Sweden
| | - Nicola Orsini
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Matteo Pirro
- Internal Medicine, Angiology and Arteriosclerosis Diseases, Department of Medicine, University of Perugia, Perugia, Italy
| | - Angela Silveira
- Division of Cardiovascular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Karolinska University Hospital Solna, Stockholm, Sweden
| | - Andries J Smit
- Department of Medicine, University Medical Center Groningen, Groningen & Isala Clinics Zwolle, Department of Medicine, the Netherlands
| | | | - Fabrizio Veglia
- Centro Cardiologico Monzino, IRCCS, Milan, Italy; Maria Cecilia Hospital, Cotignola, RA, Italy
| | - Rona J Strawbridge
- Division of Cardiovascular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Institute of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom; Health Data Research, United Kingdom
| | - Bruna Gigante
- Division of Cardiovascular Medicine, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden; Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd University Hospital, Stockholm, Sweden.
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15
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He J, Lin H, Ding Y, Liu X, Xu K, Chen X, Shen W, Zhou S, Wang M, Xia J, He N. Genome-wide associated variants of subclinical atherosclerosis among young people with HIV and gene-environment interactions. J Transl Med 2022; 20:609. [PMID: 36539828 PMCID: PMC9764595 DOI: 10.1186/s12967-022-03817-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 12/08/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Genome-wide association studies (GWAS) have identified some variants associated with subclinical atherosclerosis (SCA) in general population but lacking sufficient validation. Besides traditional risk factors, whether and how would genetic variants associate with SCA among people with HIV (PWH) remains to be elucidated. METHOD A large original GWAS and gene-environment interaction analysis of SCA were conducted among Chinese PWH (n = 2850) and age/sex-matched HIV-negative controls (n = 5410). Subgroup analyses by age and functional annotations of variants were also performed. RESULTS Different from HIV-negative counterparts, host genome had a greater impact on young PWH rather than the elders: one genome-wide significant variant (rs77741796, P = 2.20 × 10-9) and eight suggestively significant variants (P < 1 × 10-6) were identified to be specifically associated with SCA among PWH younger than 45 years. Seven genomic loci and 15 genes were mapped to play a potential role on SCA among young PWH, which were enriched in the biological processes of atrial cardiac muscle cell membrane repolarization and molecular function of protein kinase A subunit binding. Furthermore, genome-wide interaction analyses revealed significant HIV-gene interactions overall as well as gene-environment interactions with alcohol consumption, tobacco use and obesity among PWH. The identified gene-environment interaction on SCA among PWH might be useful for discovering high-risk individuals for the prevention of SCA, particularly among those with tobacco use and alcohol consumption. CONCLUSION The present study provides new clues for the genetic contribution of SCA among young PWH and is the starting point of precision intervention targeting HIV-related atherosclerosis.
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Affiliation(s)
- Jiayu He
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
| | - Haijiang Lin
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang China
| | - Yingying Ding
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China
| | - Xing Liu
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China
| | - Kelin Xu
- grid.8547.e0000 0001 0125 2443Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Xiaoxiao Chen
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang China
| | - Weiwei Shen
- Taizhou City Center for Disease Control and Prevention, Taizhou, Zhejiang China
| | - Sujuan Zhou
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
| | - Miaochen Wang
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China
| | - Jingjing Xia
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China
| | - Na He
- grid.8547.e0000 0001 0125 2443Department of Epidemiology, School of Public Health, and Key Laboratory of Public Health Safety of Ministry of Education, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Yi-Wu Research Institute, Fudan University, Shanghai, China ,grid.8547.e0000 0001 0125 2443Shanghai Institute of Infectious Diseases and Biosecurity, Fudan University, Shanghai, China
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16
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Regional and demographic variations of Carotid artery Intima and Media Thickness (CIMT): A Systematic review and meta-analysis. PLoS One 2022; 17:e0268716. [PMID: 35819948 PMCID: PMC9275715 DOI: 10.1371/journal.pone.0268716] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Accepted: 05/05/2022] [Indexed: 11/19/2022] Open
Abstract
Background and objective
Carotid artery intima media thickness (CIMT) is a strong predictor of Coronary Heart Disease (CHD) and independent phenotype of early atherosclerosis. The global variation of CIMT and its demographic association is yet unclear. We evaluated regional variations of CIMT based on WHO regions and assessed the differences by age and sex.
Methods
A systematic search was conducted on studies published between 1980 January up to December 2020. PubMed, Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase data bases were used for searching. Supplementary searches were conducted on the Web of Science and Google Scholar. Grey literature was searched in “Open Grey” website. The two major criteria used were “adults” and “carotid intima media”. The search strategy for PubMed was created first and then adapted for the Oxford Medicine Online, EBSCO, Taylor & Francis, Oxford University Press and Embase databases. Covidence software (Veritas Health Innovation, Melbourne, Australia; http://www.covidence.org) was used to manage the study selection process. Meta-analyses were done using the random-effects model. An I2 ≥ 50% or p< 0:05 were considered to indicate significant heterogeneity.
Results
Of 2847 potential articles, 46 eligible articles were included in the review contributing data for 49 381 individuals (mean age: 55.6 years, male: 55.8%). The pooled mean CIMT for the non-CHD group was 0.65mm (95%CI: 0.62–0.69). There was a significant difference in the mean CIMT between regions (p = 0.04). Countries in the African (0.72mm), American (0.71mm) and European (0.71mm) regions had a higher pooled mean CIMT compared to those in the South East Asian (0.62mm), West Pacific (0.60mm) and Eastern Mediterranean (0.60mm) regions. Males had a higher pooled mean CIMT of 0.06mm than females in the non CHD group (p = 0.001); there were also regional differences. The CHD group had a significantly higher mean CIMT than the non-CHD group (difference = 0.23mm, p = 0.001) with regional variations. Carotid artery segment-specific-CIMT variations are present in this population. Older persons and those having CHD group had significantly thicker CIMTs.
Conclusions
CIMT varies according to region, age, sex and whether a person having CHD. There are significant regional differences of mean CIMT between CHD and non-CHD groups. Segment specific CIMT variations exist among regions. There is an association between CHD and CIMT values.
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17
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Yeung MW, Wang S, van de Vegte YJ, Borisov O, van Setten J, Snieder H, Verweij N, Said MA, van der Harst P. Twenty-Five Novel Loci for Carotid Intima-Media Thickness: A Genome-Wide Association Study in >45 000 Individuals and Meta-Analysis of >100 000 Individuals. Arterioscler Thromb Vasc Biol 2022; 42:484-501. [PMID: 34852643 PMCID: PMC8939707 DOI: 10.1161/atvbaha.121.317007] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Accepted: 11/22/2021] [Indexed: 01/06/2023]
Abstract
OBJECTIVE Carotid artery intima-media thickness (cIMT) is a widely accepted marker of subclinical atherosclerosis. Twenty susceptibility loci for cIMT were previously identified and the identification of additional susceptibility loci furthers our knowledge on the genetic architecture underlying atherosclerosis. APPROACH AND RESULTS We performed 3 genome-wide association studies in 45 185 participants from the UK Biobank study who underwent cIMT measurements and had data on minimum, mean, and maximum thickness. We replicated 15 known loci and identified 20 novel loci associated with cIMT at P<5×10-8. Seven novel loci (ZNF385D, ADAMTS9, EDNRA, HAND2, MYOCD, ITCH/EDEM2/MMP24, and MRTFA) were identified in all 3 phenotypes. An additional new locus (LOXL1) was identified in the meta-analysis of the 3 phenotypes. Sex interaction analysis revealed sex differences in 7 loci including a novel locus (SYNE3) in males. Meta-analysis of UK Biobank data with a previous meta-analysis led to identification of three novel loci (APOB, FIP1L1, and LOXL4). Transcriptome-wide association analyses implicated additional genes ARHGAP42, NDRG4, and KANK2. Gene set analysis showed an enrichment in extracellular organization and the PDGF (platelet-derived growth factor) signaling pathway. We found positive genetic correlations of cIMT with coronary artery disease rg=0.21 (P=1.4×10-7), peripheral artery disease rg=0.45 (P=5.3×10-5), and systolic blood pressure rg=0.30 (P=4.0×10-18). A negative genetic correlation between average of maximum cIMT and high-density lipoprotein was found rg=-0.12 (P=7.0×10-4). CONCLUSIONS Genome-wide association meta-analyses in >100 000 individuals identified 25 novel loci associated with cIMT providing insights into genes and tissue-specific regulatory mechanisms of proatherosclerotic processes. We found evidence for shared biological mechanisms with cardiovascular diseases.
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Affiliation(s)
- Ming Wai Yeung
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Siqi Wang
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
- Department of Epidemiology (S.W., H.S.), University of Groningen, University Medical Center Groningen, the Netherlands
- Division of Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, the Netherlands (M.W.Y., J.v.S., P.v.d.H.)
| | - Yordi J. van de Vegte
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Oleg Borisov
- Institute for Genomic Statistics and Bioinformatics, University Hospital Bonn, Germany (O.B.)
| | - Jessica van Setten
- Department of Epidemiology (S.W., H.S.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Harold Snieder
- Department of Epidemiology (S.W., H.S.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Niek Verweij
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - M. Abdullah Said
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
| | - Pim van der Harst
- Department of Cardiology (M.W.Y., S.W., Y.J.v.d.V., N.V., M.A.S., P.v.d.H.), University of Groningen, University Medical Center Groningen, the Netherlands
- Division of Heart & Lungs, Department of Cardiology, University Medical Center Utrecht, University of Utrecht, the Netherlands (M.W.Y., J.v.S., P.v.d.H.)
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18
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Castaneda AB, Petty LE, Scholz M, Jansen R, Weiss S, Zhang X, Schramm K, Beutner F, Kirsten H, Schminke U, Hwang SJ, Marzi C, Dhana K, Seldenrijk A, Krohn K, Homuth G, Wolf P, Peters MJ, Dörr M, Peters A, van Meurs JBJ, Uitterlinden AG, Kavousi M, Levy D, Herder C, van Grootheest G, Waldenberger M, Meisinger C, Rathmann W, Thiery J, Polak J, Koenig W, Seissler J, Bis JC, Franceshini N, Giambartolomei C, Hofman A, Franco OH, Penninx BWJH, Prokisch H, Völzke H, Loeffler M, O'Donnell CJ, Below JE, Dehghan A, de Vries PS. Associations of carotid intima media thickness with gene expression in whole blood and genetically predicted gene expression across 48 tissues. Hum Mol Genet 2022; 31:1171-1182. [PMID: 34788810 PMCID: PMC8976428 DOI: 10.1093/hmg/ddab236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 06/11/2021] [Accepted: 08/11/2021] [Indexed: 11/13/2022] Open
Abstract
Carotid intima media thickness (cIMT) is a biomarker of subclinical atherosclerosis and a predictor of future cardiovascular events. Identifying associations between gene expression levels and cIMT may provide insight to atherosclerosis etiology. Here, we use two approaches to identify associations between mRNA levels and cIMT: differential gene expression analysis in whole blood and S-PrediXcan. We used microarrays to measure genome-wide whole blood mRNA levels of 5647 European individuals from four studies. We examined the association of mRNA levels with cIMT adjusted for various potential confounders. Significant associations were tested for replication in three studies totaling 3943 participants. Next, we applied S-PrediXcan to summary statistics from a cIMT genome-wide association study (GWAS) of 71 128 individuals to estimate the association between genetically determined mRNA levels and cIMT and replicated these analyses using S-PrediXcan on an independent GWAS on cIMT that included 22 179 individuals from the UK Biobank. mRNA levels of TNFAIP3, CEBPD and METRNL were inversely associated with cIMT, but these associations were not significant in the replication analysis. S-PrediXcan identified associations between cIMT and genetically determined mRNA levels for 36 genes, of which six were significant in the replication analysis, including TLN2, which had not been previously reported for cIMT. There was weak correlation between our results using differential gene expression analysis and S-PrediXcan. Differential expression analysis and S-PrediXcan represent complementary approaches for the discovery of associations between phenotypes and gene expression. Using these approaches, we prioritize TNFAIP3, CEBPD, METRNL and TLN2 as new candidate genes whose differential expression might modulate cIMT.
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Affiliation(s)
- Andy B Castaneda
- 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, TX, USA
| | - Lauren E Petty
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,LIFE Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.,DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
| | - Xiaoling Zhang
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.,The Framingham Heart Study, Framingham, MA, USA
| | - Katharina Schramm
- Institute of Neurogenomics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, Munich, Germany
| | | | - Holger Kirsten
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,LIFE Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Shih-Jen Hwang
- The Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Carola Marzi
- Institute of Epidemiology, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Klodian Dhana
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Adrie Seldenrijk
- Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Knut Krohn
- Interdisciplinary Center of Clinical Research, University of Leipzig, Leipzig, Germany
| | - Georg Homuth
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Petra Wolf
- Institute of Neurogenomics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Marjolein J Peters
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marcus Dörr
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.,Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Daniel Levy
- The Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD, USA
| | - Christian Herder
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany.,Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | | | - Melanie Waldenberger
- Institute of Epidemiology, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Chair of Epidemiology, Ludwig-Maximilians-Universität München, UNIKA-T Augsburg, Augsburg, Germany
| | - Wolfgang Rathmann
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Joachim Thiery
- LIFE Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany.,Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University of Leipzig, Leipzig, Germany
| | - Joseph Polak
- Tufts University School of Medicine, Boston, MA, USA
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany.,Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany
| | - Jochen Seissler
- Diabetes Center, Diabetes Research Group, Medizinische Klinik und Poliklinik IV, Ludwig-Maximilians-Universität, Munich, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nora Franceshini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | | | | | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Institute of Social and Preventive Medicine, University of Bern, Switzerland
| | - Brenda W J H Penninx
- Department of Psychiatry, VU University Medical Center, Amsterdam, the Netherlands
| | - Holger Prokisch
- Institute of Neurogenomics, Helmholz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Henry Völzke
- DZHK (German Center for Cardiovascular Research), partner site Greifswald, Greifswald, Germany.,Institute of Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany.,LIFE Research Center of Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Christopher J O'Donnell
- The Framingham Heart Study, Framingham, MA, USA.,Cardiology Section, Department of Medicine, Boston Veteran's Administration Healthcare and Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jennifer E Below
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Imperial College London, London, UK.,MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, Norfolk Place, London, UK.,UK Dementia Research Institute at Imperial College London, Burlington Danes Building, Hammersmith Hospital, Du Cane Road, London W12 0NN UK
| | - 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, TX, USA.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
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19
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Boua PR, Brandenburg JT, Choudhury A, Sorgho H, Nonterah EA, Agongo G, Asiki G, Micklesfield L, Choma S, Gómez-Olivé FX, Hazelhurst S, Tinto H, Crowther NJ, Mathew CG, Ramsay M. Genetic associations with carotid intima-media thickness link to atherosclerosis with sex-specific effects in sub-Saharan Africans. Nat Commun 2022; 13:855. [PMID: 35165267 PMCID: PMC8844072 DOI: 10.1038/s41467-022-28276-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 01/13/2022] [Indexed: 12/15/2022] Open
Abstract
Atherosclerosis precedes the onset of clinical manifestations of cardiovascular diseases (CVDs). We used carotid intima-media thickness (cIMT) to investigate genetic susceptibility to atherosclerosis in 7894 unrelated adults (3963 women, 3931 men; 40 to 60 years) resident in four sub-Saharan African countries. cIMT was measured by ultrasound and genotyping was performed on the H3Africa SNP Array. Two new African-specific genome-wide significant loci for mean-max cIMT, SIRPA (p = 4.7E-08), and FBXL17 (p = 2.5E-08), were identified. Sex-stratified analysis revealed associations with one male-specific locus, SNX29 (p = 6.3E-09), and two female-specific loci, LARP6 (p = 2.4E-09) and PROK1 (p = 1.0E-08). We replicate previous cIMT associations with different lead SNPs in linkage disequilibrium with SNPs primarily identified in European populations. Our study find significant enrichment for genes involved in oestrogen response from female-specific signals. The genes identified show biological relevance to atherosclerosis and/or CVDs, sex-differences and transferability of signals from non-African studies.
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Affiliation(s)
- Palwende Romuald Boua
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Centre national de la Recherche scientifique et technologique (CNRST), Nanoro, Burkina Faso.
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
| | - Jean-Tristan Brandenburg
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Ananyo Choudhury
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Hermann Sorgho
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Centre national de la Recherche scientifique et technologique (CNRST), Nanoro, Burkina Faso
| | - Engelbert A Nonterah
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
- Julius Global Health, Julius Centre for Health Sciences and Primary Care, University Medical Centre, Utrecht University, Utrecht, The Netherlands
| | - Godfred Agongo
- Navrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana
- C.K. Tedam University of Technology and Applied Sciences, Navrongo, Ghana
| | - Gershim Asiki
- African Population and Health Research Center, Nairobi, Kenya
| | - Lisa Micklesfield
- MRC/Wits Developmental Pathways for Health Research Unit, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Solomon Choma
- Department of Pathology and Medical Sciences, University of Limpopo, Polokwane, South Africa
| | - Francesc Xavier Gómez-Olivé
- MRC/Wits Rural Public Health and Health Transitions Research Unit (Agincourt), School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Scott Hazelhurst
- School of Electrical and Information Engineering, University of the Witwatersrand, Johannesburg, South Africa
| | - Halidou Tinto
- Clinical Research Unit of Nanoro, Institut de Recherche en Sciences de la Santé, Centre national de la Recherche scientifique et technologique (CNRST), Nanoro, Burkina Faso
| | - Nigel J Crowther
- Department of Chemical Pathology, National Health Laboratory Service, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Christopher G Mathew
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Michèle Ramsay
- Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
- Division of Human Genetics, National Health Laboratory Service and School of Pathology, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
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20
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Khatri G, Singh M, Bika S, Joshi K, Swami N. Carotid intima–Media thickness: An independent risk factor for stroke prediction – A call for revised framingham score system. J ANAT SOC INDIA 2022. [DOI: 10.4103/jasi.jasi_212_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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21
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Li S, Jia Z, Zhang Z, Li Y, Yan M, Yu T. Association Study of Genetic Variants in Calcium Signaling-Related Genes With Cardiovascular Diseases. Front Cell Dev Biol 2021; 9:642141. [PMID: 34912794 PMCID: PMC8666440 DOI: 10.3389/fcell.2021.642141] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 10/01/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Calcium ions (Ca2+) play an essential role in excitation-contraction coupling in the heart. The association between cardiovascular diseases (CVDs) and genetic polymorphisms in key regulators of Ca2+ homeostasis is well established but still inadequately understood. Methods: The associations of 11,274 genetic variants located in nine calcium signaling-related genes with 118 diseases of the circulatory system were explored using a large sample from the United Kingdom Biobank (N = 308,366). The clinical outcomes in electronic health records were mapped to the phecode system. Survival analyses were employed to study the role of variants in CVDs incidence and mortality. Phenome-wide association studies (PheWAS) were performed to investigate the effect of variants on cardiovascular risk factors. Results: The reported association between rs1801253 in β1-adrenergic receptor (ADRB1) and hypertension was successfully replicated, and we additionally found the blood pressure-lowering G allele of this variant was associated with a delayed onset of hypertension and a decreased level of apolipoprotein A. The association of rs4484922 in calsequestrin 2 (CASQ2) with atrial fibrillation/flutter was identified, and this variant also displayed nominal evidence of association with QRS duration and carotid intima-medial thickness. Moreover, our results indicated suggestive associations of rs79613429 in ryanodine receptor 2 (RYR2) with precordial pain. Conclusion: Multiple novel associations established in our study highlight genetic testing as a useful method for CVDs diagnosis and prevention.
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Affiliation(s)
- Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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22
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The relationship between telomere length and putative markers of vascular ageing: A systematic review and meta-analysis. Mech Ageing Dev 2021; 201:111604. [PMID: 34774607 DOI: 10.1016/j.mad.2021.111604] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 11/07/2021] [Accepted: 11/08/2021] [Indexed: 01/07/2023]
Abstract
Accelerated biological aging contributes to the evolution of cardiovascular disease. However, its influence on subclinical organ damage remains unclear. Leukocyte telomere length (LTL) is emerging as a marker of biological cardiovascular aging. We performed a systematic review and meta-analysis to assess the association between LTL and measures of end-organ damage. PubMed, Medline, Embase, Cinahl Plus, ClinicalTrials.gov, and grey literature databases were searched for studies that assessed the association of LTL with arterial pulse wave velocity (aPWV), carotid intima-media thickness (cIMT), left ventricular mass (LVM or LVMI), renal outcomes, coronary artery calcium (CAC) and presence of carotid plaques. In a sample of 7256 patients, we found that cIMT (pooled correlation coefficient (r) = -0.249; 95 %CI -0.37, -0.128) and aPWV (pooled r = -0.194; 95 % CI -0.290, -0.100) inversely correlate with LTL. Compared to aPWV, cIMT had a stronger correlation with LTL. Patients without carotid plaques had longer telomeres than patients with carotid plaques. Quantitative analyses documented LTL association with renal outcomes and CAC, but not with LVM/LVMI. Among measures of end-organ damage, cIMT and aPWV provide the most accurate information on the contribution of biological aging to the process of vascular remodeling/damage.
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Hosseinpanah F, Seyedhoseinpour A, Barzin M, Mahdavi M, Tasdighi E, Dehghan P, Momeni Moghaddam A, Azizi F, Valizadeh M. Comparison analysis of childhood body mass index cut-offs in predicting adulthood carotid intima media thickness: Tehran lipid and glucose study. BMC Pediatr 2021; 21:494. [PMID: 34742260 PMCID: PMC8571836 DOI: 10.1186/s12887-021-02963-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Accepted: 10/20/2021] [Indexed: 02/02/2023] Open
Abstract
Background The prevalence of obesity among children and adolescences have been increased, which can consequently increase the prevalence of metabolic and cardiovascular diseases later in life. The objective of this study is to compare the ability of different childhood body mass index cut-offs in prediction of carotid intima media thickness (CIMT) as an indicator of subclinical atherosclerosis. Methods Participants were categorized into normal weight, overweight and obesity group, based on world health organization (WHO), center for disease control and prevention (CDC), international obesity task force (IOTF) and local IOTF cut-offs. After 18 years of follow up CIMT was measured. Akaike’s information criterion and relative efficiency were measured in order to compare regression models on the role of obesity on CIMT. Results In this prospective cohort study, 1295 subjects aged 3 to 18 years old were enrolled. The overall prevalence of overweight was 15.4, 11.5, 16.3 and 14.1 along with obesity prevalence of 6.6, 8.5, 7.7 and 5.0% based on WHO, CDC, local IOTF and international IOTF criteria, respectively. CIMT was higher in obese compare to normal groups across all classification criteria. After regression analysis, international IOTF was the best to predict adulthood CIMT, followed by local IOTF and WHO. CDC had the least discriminatory ability. Conclusion Due to the results of this study, IOTF could be a better tool in national and international surveillances of children in order to define overweight and obesity, which can help us to intervene more effectively in reducing the burden of cardiovascular diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s12887-021-02963-y.
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Affiliation(s)
- Farhad Hosseinpanah
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amirhosein Seyedhoseinpour
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Barzin
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Maryam Mahdavi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Erfan Tasdighi
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Pooneh Dehghan
- Imaging Department, Taleghani Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Amin Momeni Moghaddam
- Imaging Department, Taleghani Hospital, Shahid Beheshti University of Medical Science, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Majid Valizadeh
- Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Genetic Variation in the ASTN2 Locus in Cardiovascular, Metabolic and Psychiatric Traits: Evidence for Pleiotropy Rather Than Shared Biology. Genes (Basel) 2021; 12:genes12081194. [PMID: 34440368 PMCID: PMC8391428 DOI: 10.3390/genes12081194] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 07/28/2021] [Accepted: 07/29/2021] [Indexed: 11/24/2022] Open
Abstract
Background: The link between cardiometabolic and psychiatric illness has long been attributed to human behaviour, however recent research highlights shared biological mechanisms. The ASTN2 locus has been previously implicated in psychiatric and cardiometabolic traits, therefore this study aimed to systematically investigate the genetic architecture of ASTN2 in relation to a wide range of relevant traits. Methods: Baseline questionnaire, assessment and genetic data of 402111 unrelated white British ancestry individuals from the UK Biobank was analysed. Genetic association analyses were conducted using PLINK 1.07, assuming an additive genetic model and adjusting for age, sex, genotyping chip, and population structure. Conditional analyses and linkage disequilibrium assessment were used to determine whether cardiometabolic and psychiatric signals were independent. Results: Associations between genetic variants in the ASTN2 locus and blood pressure, total and central obesity, neuroticism, anhedonia and mood instability were identified. All analyses support the independence of the cardiometabolic traits from the psychiatric traits. In silico analyses provide support for the central obesity signal acting through ASTN2, however most of the other signals are likely acting through other genes in the locus. Conclusions: Our systematic analysis demonstrates that ASTN2 has pleiotropic effects on cardiometabolic and psychiatric traits, rather than contributing to shared pathology.
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25
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Laguzzi F, Maitusong B, Strawbridge RJ, Baldassarre D, Veglia F, Humphries SE, Rauramaa R, Kurl S, Smit AJ, Giral P, Silveira A, Tremoli E, Hamsten A, de Faire U, Gigante B, Leander K. Intake of food rich in saturated fat in relation to subclinical atherosclerosis and potential modulating effects from single genetic variants. Sci Rep 2021; 11:7866. [PMID: 33846368 PMCID: PMC8042105 DOI: 10.1038/s41598-021-86324-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 03/08/2021] [Indexed: 11/21/2022] Open
Abstract
The relationship between intake of saturated fats and subclinical atherosclerosis, as well as the possible influence of genetic variants, is poorly understood and investigated. We aimed to investigate this relationship, with a hypothesis that it would be positive, and to explore whether genetics may modulate it, using data from a European cohort including 3,407 participants aged 54-79 at high risk of cardiovascular disease. Subclinical atherosclerosis was assessed by carotid intima-media thickness (C-IMT), measured at baseline and after 30 months. Logistic regression (OR; 95% CI) was employed to assess the association between high intake of food rich in saturated fat (vs. low) and: (1) the mean and the maximum values of C-IMT in the whole carotid artery (C-IMTmean, C-IMTmax), in the bifurcation (Bif-), the common (CC-) and internal (ICA-) carotid arteries at baseline (binary, cut-point ≥ 75th), and (2) C-IMT progression (binary, cut-point > zero). For the genetic-diet interaction analyses, we considered 100,350 genetic variants. We defined interaction as departure from additivity of effects. After age- and sex-adjustment, high intake of saturated fat was associated with increased C-IMTmean (OR:1.27;1.06-1.47), CC-IMTmean (OR:1.22;1.04-1.44) and ICA-IMTmean (OR:1.26;1.07-1.48). However, in multivariate analysis results were no longer significant. No clear associations were observed between high intake of saturated fat and risk of atherosclerotic progression. There was no evidence of interactions between high intake of saturated fat and any of the genetic variants considered, after multiple testing corrections. High intake of saturated fats was not independently associated with subclinical atherosclerosis. Moreover, we did not identify any significant genetic-dietary fat interactions in relation to risk of subclinical atherosclerosis.
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Affiliation(s)
- Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Box 210, 17177, Stockholm, Sweden.
| | - Buamina Maitusong
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Box 210, 17177, Stockholm, Sweden
- Department of Cardiology, First Affiliated Hospital of Xinjiang Medical University, Urumqi, People's Republic of China
| | - Rona J Strawbridge
- Institute of Mental Health and Wellbeing, Mental Health and Wellbeing, University of Glasgow, Glasgow, UK
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Health Data Research United Kingdom, London, UK
| | - Damiano Baldassarre
- Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | | | - Steve E Humphries
- Centre for Cardiovascular Genetics, Institute Cardiovascular Science, University College London, London, UK
| | - Rainer Rauramaa
- Foundation for Research in Health Exercise and Nutrition, Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Sudhir Kurl
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Andries J Smit
- Department of Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Philippe Giral
- Assistance Publique-Hôpitaux de Paris, Service Endocrinologie-Métabolisme, Groupe Hospitalier Pitié-Salpétrière, Unités de Prévention Cardiovasculaire, Paris, France
| | - Angela Silveira
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska Hospital, Stockholm, Sweden
| | | | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet and Karolinska Hospital, Stockholm, Sweden
| | - Ulf de Faire
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Box 210, 17177, Stockholm, Sweden
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, Box 210, 17177, Stockholm, Sweden
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26
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Bell S, Gibson JT, Harshfield EL, Markus HS. Is periodontitis a risk factor for ischaemic stroke, coronary artery disease and subclinical atherosclerosis? A Mendelian randomization study. Atherosclerosis 2020; 313:111-117. [PMID: 33038664 PMCID: PMC7660116 DOI: 10.1016/j.atherosclerosis.2020.09.029] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/08/2020] [Accepted: 09/30/2020] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND AIMS Observational studies have reported an association between periodontitis and cardiovascular disease but whether this association is causal is uncertain. We therefore used Mendelian randomization to test whether periodontitis is causally associated with stroke, coronary artery disease, or subclinical atherosclerosis. METHODS A two-sample Mendelian randomization analysis was carried out using five single nucleotide polymorphisms previously associated with periodontitis in genome-wide association studies. Summary data were drawn from MEGASTROKE and combined with de novo analyses of UK Biobank for stroke and its major subtypes (up to 44,221 cases, 739,957 controls) and CARDIoGRAMplusC4D and UK Biobank for coronary artery disease (122,733 cases, 424,528 controls). We used existing data on carotid intima-media thickness in UK Biobank as a marker of subclinical atherosclerosis (N = 22,179). Causal estimates were obtained using inverse-variance weighted Mendelian randomization. Sensitivity analyses were performed using weighted median and MR-Egger approaches. RESULTS No association was found between periodontitis and any stroke (odds ratio [OR] per doubling in the odds of periodontitis 0.99, 95% confidence interval [CI] 0.97 to 1.02), ischaemic stroke (OR 1.00, 95% CI 0.97 to 1.03) or its major subtypes (p > 0.4), or coronary artery disease (OR 1.01, 95% CI 0.99 to 1.03). Similarly, we found no association for periodontitis and subclinical atherosclerosis (β -0.002, 95% CI -0.004 to 0.001). These results were consistent across a series of sensitivity analyses. CONCLUSIONS These findings provide no robust evidence for a causal relationship between periodontitis and stroke or coronary artery disease. This suggests that associations reported in observational studies may represent confounding.
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Affiliation(s)
- Steven Bell
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK.
| | - Joel T Gibson
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Eric L Harshfield
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, Cambridge, UK
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27
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Guo L, Cornelissen A, Sakamoto A, Finn AV. Making Novel Genetic Associations With Carotid Intima-Media Thickness Using the UK Biobank. Arterioscler Thromb Vasc Biol 2020; 40:297-300. [PMID: 31967906 PMCID: PMC7033653 DOI: 10.1161/atvbaha.119.313784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Affiliation(s)
- Liang Guo
- CVPath Institute, Gaithersburg, Maryland, USA
| | | | | | - Aloke V. Finn
- CVPath Institute, Gaithersburg, Maryland, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
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