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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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Zheng L, Zhang C, Bu S, Guo W, Li T, Xu Y, Liu Y, Yuan C, Feng C, Zong G, Zhu J, Xing M, Geng X. The Causal Effect of Serum Lipid Levels Mediated by Neuregulin 4 on the Risk of Four Atherosclerosis Subtypes: Evidence from Mendelian Randomization Analysis. Vasc Health Risk Manag 2024; 20:351-357. [PMID: 39104661 PMCID: PMC11299727 DOI: 10.2147/vhrm.s459075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Accepted: 07/20/2024] [Indexed: 08/07/2024] Open
Abstract
Background Neuregulin 4 (NRG4) was known to be associated with serum lipid levels and atherosclerosis. However, it is unknown whether the role of NRG4 in lipid homeostasis is causal to atherosclerosis and whether the effect is beneficial across different atherosclerosis subtypes. Methods We investigated the causal role of the levels of serum low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol, and triglycerides regulated by NRG4 in subtypes of atherosclerosis through two sample Mendelian randomization. Aggregated genome-wide association study (GWAS) summary data for serum lipid level of 1.32 million individuals with European ancestry were obtained from the Global Lipids Genetics Consortium. GWAS summary data for four atherosclerosis subtypes (peripheral, coronary, cerebral and the other atherosclerosis) were obtained from FinnGen Consortium. Generalized inverse-variance-weighted Mendelian randomization and several sensitivity analyses were used to obtain the causal estimates. Results A 1-SD genetically elevated LDL-C level mediated by NRG4 was validated to be nominally associated with the risk of peripheral atherosclerosis (log (odds ratio)= 4.14, 95% confidence interval 0.11 to 8.17, P = 0.04), and the other associations were not significant or could not be validated by sensitivity analyses. Conclusion LDL-C lowering mediated by NRG4 is likely to prevent peripheral atherosclerosis.
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Affiliation(s)
- Longyi Zheng
- Department of Endocrinology, Changhai Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Chengjing Zhang
- Department of Nutrition, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, People’s Republic of China
| | - Shichang Bu
- Department of Endocrinology, Changhai Hospital, Naval Medical University, Shanghai, People’s Republic of China
| | - Wencheng Guo
- Department of General Surgery and Vascular Surgery, Huashan Hospital, Fudan University, Shanghai, People’s Republic of China
| | - Tongtong Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Ying Xu
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
| | - Yunan Liu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Caimei Yuan
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Chengwu Feng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Jingwen Zhu
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, People’s Republic of China
| | - Maoying Xing
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
| | - Xin Geng
- National Center for Liver Cancer, Naval Medical University, Shanghai, People’s Republic of China
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Brown PA. Genes Differentially Expressed Across Major Arteries Are Enriched in Endothelial Dysfunction-Related Gene Sets: Implications for Relative Inter-artery Atherosclerosis Risk. Bioinform Biol Insights 2024; 18:11779322241251563. [PMID: 38765020 PMCID: PMC11100403 DOI: 10.1177/11779322241251563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 04/13/2024] [Indexed: 05/21/2024] Open
Abstract
Atherosclerosis differs across major arteries. Although the biological basis is not fully understood, limited evidence of genetic differences has been documented. This study, therefore, was aimed to identify differentially expressed genes between clinically relevant major arteries and investigate their enrichment in endothelial dysfunction-related gene sets. A bioinformatic analysis of publicly available gene-level read counts for coronary, aortic, and tibial arteries was performed. Differential gene expression was conducted with DeSeq2 at a false discovery rate of 0.05. Differentially expressed genes were then subjected to over-representation analysis and active-subnetwork-oriented enrichment analysis, both at a false discovery rate of 0.005. Enriched terms common to both analyses were categorized for each contrast into immunity/inflammation-, membrane biology-, lipid metabolism-, and coagulation-related terms, and the top differentially expressed genes validated against Swiss Institute of Bioinformatics' Bgee database. There was mostly upregulation of differentially expressed genes for the coronary/tibial and aorta/tibial contrasts, but milder changes for the coronary/aorta contrast. Transcriptomic differences between coronary or aortic versus tibial samples largely involved immunity/inflammation-, membrane biology-, lipid metabolism-, and coagulation-related genes, suggesting potential to modulate endothelial dysfunction and atherosclerosis. These results imply atheroprone coronary and aortic environments compared with tibial artery tissue, which may explain observed relative inter-artery atherosclerosis risk.
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Affiliation(s)
- Paul A Brown
- Department of Basic Medical Sciences, Faculty of Medical Sciences Teaching and Research Complex, The University of the West Indies, Kingston, Jamaica
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4
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El-Sayed K, Youssef AR, Hay NMA, Osman AM. LDL-receptor gene polymorphism as a predictor of coronary artery disease: an Egyptian pilot study: relation to lipid profile and angiographic findings. Egypt Heart J 2024; 76:1. [PMID: 38165587 PMCID: PMC10761650 DOI: 10.1186/s43044-023-00430-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Accepted: 12/15/2023] [Indexed: 01/04/2024] Open
Abstract
BACKGROUND Coronary artery disease (CAD) is the main cause of death in Egypt. Many LDL-R gene locus single nucleotide polymorphisms (SNP) are found to be associated with the risk of CAD. This research aimed to assess the allelic and genotypic frequencies of rs1122608 SNP and their association with the extent of vessel affection and lipid profile in a population of Egyptians.100 CAD patients and 100 healthy controls of Egyptians were included. PCR-RFLP was used to genotype rs1122608 SNPs. RESULTS Significantly higher proportion of 'T' allele among patient (risk allele). This association is of low strength (ϕ lies between 0.1 and 0.3). A participant with 'T' allele has 1.95 times higher odds to exhibit CAD versus a participant with 'G' allele. Significantly higher proportion of 'T/T' genotype among cases versus control (risk genotype). This association is of low strength (Cramer's V lies between 0.1 and 0.3). A participant with 'T/T' genotype has 4.5 times higher odds to exhibit CAD versus a participant with 'G/G'. Gensini score showed no significant association with rs1122608 genotypes (p = 0.863). CONCLUSIONS The mutant GT and TT genotypes and minor T allele of rs1122608 were positively correlated with CAD and considered as independent risk factors for CAD.
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Affiliation(s)
- Kefaya El-Sayed
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, 35516, Egypt
| | - Amany R Youssef
- Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, 35516, Egypt.
| | | | - Adel M Osman
- Cardiology Department, Faculty of Medicine, Mansoura University, Mansoura, Egypt
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5
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Hasbani NR, Westerman KE, Kwak SH, Chen H, Li X, Di Corpo D, Wessel J, Bis JC, Sarnowski C, Wu P, Bielak LF, Guo X, Heard-Costa N, Kinney GL, Mahaney MC, Montasser ME, Palmer ND, Raffield LM, Terry JG, Yanek LR, Bon J, Bowden DW, Brody JA, Duggirala R, Jacobs DR, Kalyani RR, Lange LA, Mitchell BD, Smith JA, Taylor KD, Carson AP, Curran JE, Fornage M, Freedman BI, Gabriel S, Gibbs RA, Gupta N, Kardia SLR, Kral BG, Momin Z, Newman AB, Post WS, Viaud-Martinez KA, Young KA, Becker LC, Bertoni AG, Blangero J, Carr JJ, Pratte K, Psaty BM, Rich SS, Wu JC, Malhotra R, Peyser PA, Morrison AC, Vasan RS, Lin X, Rotter JI, Meigs JB, Manning AK, de Vries PS. Type 2 Diabetes Modifies the Association of CAD Genomic Risk Variants With Subclinical Atherosclerosis. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2023; 16:e004176. [PMID: 38014529 PMCID: PMC10843644 DOI: 10.1161/circgen.123.004176] [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: 04/07/2023] [Accepted: 09/29/2023] [Indexed: 11/29/2023]
Abstract
BACKGROUND Individuals with type 2 diabetes (T2D) have an increased risk of coronary artery disease (CAD), but questions remain about the underlying pathology. Identifying which CAD loci are modified by T2D in the development of subclinical atherosclerosis (coronary artery calcification [CAC], carotid intima-media thickness, or carotid plaque) may improve our understanding of the mechanisms leading to the increased CAD in T2D. METHODS We compared the common and rare variant associations of known CAD loci from the literature on CAC, carotid intima-media thickness, and carotid plaque in up to 29 670 participants, including up to 24 157 normoglycemic controls and 5513 T2D cases leveraging whole-genome sequencing data from the Trans-Omics for Precision Medicine program. We included first-order T2D interaction terms in each model to determine whether CAD loci were modified by T2D. The genetic main and interaction effects were assessed using a joint test to determine whether a CAD variant, or gene-based rare variant set, was associated with the respective subclinical atherosclerosis measures and then further determined whether these loci had a significant interaction test. RESULTS Using a Bonferroni-corrected significance threshold of P<1.6×10-4, we identified 3 genes (ATP1B1, ARVCF, and LIPG) associated with CAC and 2 genes (ABCG8 and EIF2B2) associated with carotid intima-media thickness and carotid plaque, respectively, through gene-based rare variant set analysis. Both ATP1B1 and ARVCF also had significantly different associations for CAC in T2D cases versus controls. No significant interaction tests were identified through the candidate single-variant analysis. CONCLUSIONS These results highlight T2D as an important modifier of rare variant associations in CAD loci with CAC.
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Affiliation(s)
- Natalie R Hasbani
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Kenneth E Westerman
- Department of Medicine, Clinical and Translation Epidemiology Unit (K.E.W., A.K.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University Hospital, South Korea (S.H.K.)
| | - Han Chen
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
- School of Biomedical Informatics, Center for Precision Health (H.C.), The University of Texas Health Science Center at Houston
| | - Xihao Li
- Department of Biostatistics, Harvard T.H. Chan School of Public Health (X. Li, X. Lin), Boston University School of Public Health, MA
| | - Daniel Di Corpo
- Department of Biostatistics (D.D., P.W.), Boston University School of Public Health, MA
| | - Jennifer Wessel
- Department of Epidemiology, Fairbanks School of Public Health, Indianapolis, IN (J.W.)
| | - Joshua C Bis
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
| | - Chloè Sarnowski
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Peitao Wu
- Department of Biostatistics (D.D., P.W.), Boston University School of Public Health, MA
| | - Lawrence F Bielak
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Xiuqing Guo
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California Los Angeles Medical Center, Torrance (X.G., K.D.T.)
| | | | - Gregory L Kinney
- Department of Epidemiology, University of Colorado School of Public Health, Aurora (G.L.K., K.A.Y.)
| | - Michael C Mahaney
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - May E Montasser
- Department of Medicine, Division of Endocrinology Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore (M.E.M., B.D.M.)
| | - Nicholette D Palmer
- Department of Biochemistry (N.D.P., D.W.B.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Laura M Raffield
- Department of Genetics, University of North Carolina at Chapel Hill (L.M.R.)
| | - James G Terry
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN (J.G.T., J.J.C.)
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Jessica Bon
- Department of Medicine, Division of Pulmonary Allergy and Critical Care Medicine, University of Pittsburgh Medical Center, PA (J. Bon)
| | - Donald W Bowden
- Department of Biochemistry (N.D.P., D.W.B.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Jennifer A Brody
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
| | - Ravindranath Duggirala
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, McAllen (R.D.)
| | | | - Rita R Kalyani
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Leslie A Lange
- Division of Biomedical Informatics and Personalized Medicine, School of Medicine University of Colorado, Aurora (L.A.L.)
| | - Braxton D Mitchell
- Department of Medicine, Division of Endocrinology Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore (M.E.M., B.D.M.)
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, MD (B.D.M.)
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor (J.A.S.)
| | - Kent D Taylor
- Department of Pediatrics, The Institute for Translational Genomics and Population Sciences, The Lundquist Institute for Biomedical Innovation at Harbor-University of California Los Angeles Medical Center, Torrance (X.G., K.D.T.)
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson (A.P.C.)
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - Myriam Fornage
- Institute of Molecular Medicine (M.F.), The University of Texas Health Science Center at Houston
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology (B.I.F.), Wake Forest School of Medicine, Winston-Salem, NC
| | - Stacey Gabriel
- Genomics Platform (S.G., N.G.), Broad Institute, Cambridge
| | - Richard A Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX (R.A.G., Z.M.)
| | - Namrata Gupta
- Genomics Platform (S.G., N.G.), Broad Institute, Cambridge
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
| | - Brian G Kral
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Zeineen Momin
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX (R.A.G., Z.M.)
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh School of Public Health, PA (A.B.N.)
| | - Wendy S Post
- Division of Cardiology, Johns Hopkins Medicine, Baltimore, MD (W.S.P.)
| | | | - Kendra A Young
- Department of Epidemiology, University of Colorado School of Public Health, Aurora (G.L.K., K.A.Y.)
| | - Lewis C Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., R.R.K., B.G.K., L.C.B.)
| | - Alain G Bertoni
- Epidemiology and Prevention, Wake Forest University School of Medicine, Winston-Salem, NC (A.G.B.)
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville (M.C.M., J.E.C., J. Blangero)
| | - John J Carr
- Department of Radiology, Vanderbilt Translational and Clinical Cardiovascular Research Center, Vanderbilt University Medical Center, Nashville, TN (J.G.T., J.J.C.)
| | - Katherine Pratte
- Department of Biostatistics, National Jewish Health, Denver, CO (K.P.)
| | - Bruce M Psaty
- Department of Medicine, Cardiovascular Health Research Unit (J.C.B., J.A.B., B.M.P.), University of Washington, Seattle
- Department of Epidemiology (B.M.P.), University of Washington, Seattle
- Department of Health Systems and Population Health (B.M.P.), University of Washington, Seattle
| | | | - Joseph C Wu
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville (J.C.W.)
- Department of Medicine, Division of Cardiovascular Medicine, Stanford Cardiovascular Institute, Stanford University School of Medicine (J.C.W.), Stanford University, CA
| | - Rajeev Malhotra
- Division of Cardiology (R.M.), Massachusetts General Hospital, Boston
- Department of Radiology Molecular Imaging Program at Stanford (R.M.), Stanford University, CA
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor (L.F.B., J.A.S., S.L.R.K., P.A.P.)
| | - Alanna C Morrison
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
| | - Ramachandran S Vasan
- Framingham Heart Study, MA (N.H.-C., R.S.V.)
- Department of Quantitative and Qualitative Health Sciences, University of Texas Health San Antonio School of Public Health (R.S.V.)
| | - Xihong Lin
- Department of Biostatistics, Harvard T.H. Chan School of Public Health (X. Li, X. Lin), Boston University School of Public Health, MA
| | | | - James B Meigs
- Division of General Internal Medicine (J.B.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Alisa K Manning
- Department of Medicine, Clinical and Translation Epidemiology Unit (K.E.W., A.K.M.), Massachusetts General Hospital, Boston
- Programs in Metabolism and Medical and Population Genetics (K.E.W., J.B.M., A.K.M.), Broad Institute, Cambridge
- Department of Medicine, Harvard Medical School, Boston, MA (K.E.W., J.B.M., A.K.M.)
| | - Paul S de Vries
- Department of Epidemiology Human Genetics and Environmental Sciences, Human Genetics Center, The University of Texas Health Science Center at Houston School of Public Health (N.R.H., H.C., C.S., A.C.M., P.S.d.V.)
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Zhang Q, Wu G, Zhang X, Wang S, Wang Y. A two-sample Mendelian randomization study of atherosclerosis and dementia. iScience 2023; 26:108325. [PMID: 38026222 PMCID: PMC10654222 DOI: 10.1016/j.isci.2023.108325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/20/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
The causality between atherosclerosis and dementia remains unclear. This study aimed to explore the causal effect of atherosclerosis related indicators on dementia risk based on two-sample Mendelian randomization (MR) using summary statistics of genome-wide association studies (GWASs). The inverse variance weighted (IVW) method was performed as the main analysis, supplemented by different sensitivity analyses. Suggestive evidence indicated that peripheral arterial disease (PAD) (odds ratio (OR): 0.864, 95% confidence interval (CI): 0.797-0.937), coronary atherosclerosis (CoAS) (OR: 0.927, 95% CI: 0.860-0.998) and atherosclerosis, excluding cerebral, coronary, and PAD (ATHSCLE) (OR: 0.812, 95% CI: 0.725-0.909) were inversely associated with the risk of AD. The sensitivity analysis confirmed a suggestive reverse effect of ATHSCLE on the risk of frontotemporal dementia (FTD) (OR, 0.812, 95% CI, 0.725-0.909). Findings provide suggestive evidence that PAD, CoAS, and ATHSCLE might be associated with the risk of AD or FTD, which requires further exploration in larger samples.
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Affiliation(s)
- Qiaoyun Zhang
- Department of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- School of Public Health, Capital Medical University, Beijing, China
| | - Guangheng Wu
- School of Public Health, Capital Medical University, Beijing, China
| | - Xiaoyu Zhang
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China
| | - Sheng Wang
- Department of Anesthesiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Youxin Wang
- School of Public Health, North China University of Science and Technology, Tangshan, China
- Beijing Key Laboratory of Clinical Epidemiology, Beijing, China
- Centre for Precision Health, Edith Cowan University, Joondalup, WA, Australia
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7
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Smith MC, O'Loughlin J, Karageorgiou V, Casanova F, Williams GKR, Hilton M, Tyrrell J. The genetics of falling susceptibility and identification of causal risk factors. Sci Rep 2023; 13:19493. [PMID: 37945700 PMCID: PMC10636011 DOI: 10.1038/s41598-023-44566-w] [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: 08/03/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023] Open
Abstract
Falls represent a huge health and economic burden. Whilst many factors are associated with fall risk (e.g. obesity and physical inactivity) there is limited evidence for the causal role of these risk factors. Here, we used hospital and general practitioner records in UK Biobank, deriving a balance specific fall phenotype in 20,789 cases and 180,658 controls, performed a Genome Wide Association Study (GWAS) and used Mendelian Randomisation (MR) to test causal pathways. GWAS indicated a small but significant SNP-based heritability (4.4%), identifying one variant (rs429358) in APOE at genome-wide significance (P < 5e-8). MR provided evidence for a causal role of higher BMI on higher fall risk even in the absence of adverse metabolic consequences. Depression and neuroticism predicted higher risk of falling, whilst higher hand grip strength and physical activity were protective. Our findings suggest promoting lower BMI, higher physical activity as well as psychological health is likely to reduce falls.
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Affiliation(s)
- Matt C Smith
- Genetics of Complex Traits, College of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Jessica O'Loughlin
- Genetics of Complex Traits, College of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Vasileios Karageorgiou
- Genetics of Complex Traits, College of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Francesco Casanova
- Genetics of Complex Traits, College of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Genevieve K R Williams
- Public Health and Sports Sciences Department, University of Exeter Medical School, Exeter, UK
| | - Malcolm Hilton
- Clinical and Biomedical Science, University of Exeter Medical School, Exeter, UK
| | - Jessica Tyrrell
- Genetics of Complex Traits, College of Biomedical and Clinical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
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Ahmadi A, Ghaderian M, Nourmohammadi H, Sabri MR, Dehghan B, Mahdavi C. Comparison of CIMT and FMD in the Brachial Artery between Children with Acyanotic Congenital Heart Disease and Healthy Controls: A Case-Control Study. J Tehran Heart Cent 2023; 18:256-260. [PMID: 38680641 PMCID: PMC11053238 DOI: 10.18502/jthc.v18i4.14824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 06/26/2023] [Indexed: 05/01/2024] Open
Abstract
Background Congenital heart disease (CHD), a developmental abnormality of the heart and vessels, is encountered in the pediatric age group frequently. Brachial artery flow-mediated dilation (FMD) and carotid intima-media thickness (CIMT) are indicators of subclinical cardiovascular disease and are used as surrogate measures of subclinical atherosclerosis. The present study aimed to compare CIMT and FMD between children with acyanotic congenital heart disease (ACHD) and healthy controls. Methods A case-control study on 50 children with ACHD and 43 healthy individuals was done in Isfahan, Iran, between 2021 and 2022. The case group was selected via non-random sampling, and healthy controls were recruited from the relatives of the patients. A checklist, including age, sex, body mass index, and blood pressure, was filled out for all the participants. Then, FMD and CIMT were measured with brachial and carotid artery ultrasonography. Results Fifty children with ACHD and 43 healthy individuals (controls) under 18 years old participated in this study. Of these, 44 (47.3%) were girls and 49 (52.7%) were boys. The mean FMD was significantly higher in the ACHD group than in the control group (0.084±0.027 vs 0.076±0.042; P=0.021; 95% CI, 007 to 0.122;). CIMT was significantly higher in the ACHD group than in the control group (0.39±0.12 vs 0.34±0.1; P=0.037; 95% CI, 0.009 to 0.102;). However, systolic and diastolic blood pressure did not show differences between the groups. Conclusion Based on our results, CIMT and FMD assessment may help detect early changes in peripheral vessels associated with atherosclerosis in the future in ACHD. Further studies are needed to confirm our findings.
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Affiliation(s)
- Alireza Ahmadi
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mehdi Ghaderian
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Hajar Nourmohammadi
- Department of Pediatrics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mohammad Reza Sabri
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Bahar Dehghan
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Chehreh Mahdavi
- Pediatric Cardiovascular Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran
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Costo-Muriel C, Calderón-García JF, Rico-Martín S, Galán-González J, Escudero-Sánchez G, Sánchez-Bacaicoa C, Rodríguez-Velasco FJ, Santano-Mogena E, Fonseca C, Muñoz-Torrero JFS. Relationship between the novel and traditional anthropometric indices and subclinical atherosclerosis evaluated by carotid intima-media thickness (c-IMT). Front Nutr 2023; 10:1170450. [PMID: 37457970 PMCID: PMC10348712 DOI: 10.3389/fnut.2023.1170450] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 06/12/2023] [Indexed: 07/18/2023] Open
Abstract
Introduction Over the last few years, novel anthropometric indices have been developed as an alternative to body mass index (BMI) and other traditional anthropometric measurements to enhance the estimate of fat proportion and its relationship to a future cardiovascular event. The purpose of this study was to investigate the association of carotid intima-media thickness (c-IMT) estimated by Doppler ultrasound with current anthropometric indices (traditional and novel). Methods A cross-sectional study was conducted on a total of 789 Spanish patients. Traditional (BMI, WHR, and WHtR) and new (WWI, AVI, ABSI, BRI, BAI, CUN-BAE, and CI) anthropometric indices were determined, and carotid Doppler ultrasound was performed to evaluate c-IMT (≥0.90 mm). Results Most of the anthropometric indices analyzed were significantly higher among patients with pathological c-IMT, except for BMI, BAI, and CUN-BAE. In multiple linear regression analysis, c-IMT was positively related to ABSI, AVI, BRI, CI, and WWI but not to CUN-BAE, BAI, or traditional anthropometric indices. Similarly, in univariate analysis, all indices were associated with a c-IMT of ≥0.90 mm (p < 0.05), except BMI, BAI, and CUN-BAE; however, only ABSI (adjusted OR: 1.61; 95% CI: 1.08-2.40; p = 0.017), CI (adjusted OR: 1.73; 95% CI: 1.15-2.60; p = 0.008), and WWI (adjusted OR: 1.74; 95% CI: 1.14-2.64; p = 0.009) were significantly associated in multivariate analysis. Finally, CI, ABSI, and WWI provided the largest AUC, and BMI and CUN-BAE showed the lowest AUC. Conclusion ABSI, CI, and WWI were positively associated with pathological c-IMT (≥0.90 mm), independent of other confounders.
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Affiliation(s)
- Clara Costo-Muriel
- Department of Internal Medicine, Hospital Comarcal de la Axarquía, Málaga, Spain
| | - Julián F. Calderón-García
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - Sergio Rico-Martín
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | | | | | | | | | - Esperanza Santano-Mogena
- Department of Nursing, Nursing and Occupational Therapy College, University of Extremadura, Cáceres, Spain
| | - César Fonseca
- Department of Nursing, University of Évora, Evora, Portugal
- Department of Nursing, Comprehensive Health Research Centre (CHRC), Evora, Portugal
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10
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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] [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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11
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Zhao W, Mori H, Tomiga Y, Tanaka K, Perveen R, Mine K, Inadomi C, Yoshioka W, Kubotsu Y, Isoda H, Kuwashiro T, Oeda S, Akiyama T, Zhao Y, Ozaki I, Nagafuchi S, Kawaguchi A, Aishima S, Anzai K, Takahashi H. HSPA8 Single-Nucleotide Polymorphism Is Associated with Serum HSC70 Concentration and Carotid Artery Atherosclerosis in Nonalcoholic Fatty Liver Disease. Genes (Basel) 2022; 13:genes13071265. [PMID: 35886046 PMCID: PMC9323248 DOI: 10.3390/genes13071265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Revised: 07/01/2022] [Accepted: 07/14/2022] [Indexed: 11/29/2022] Open
Abstract
There is an association between nonalcoholic fatty liver disease (NAFLD) and atherosclerosis, but the genetic risk of atherosclerosis in NAFLD remains unclear. Here, a single-nucleotide polymorphism (SNP) of the heat shock 70 kDa protein 8 (HSPA8) gene was analyzed in 123 NAFLD patients who had been diagnosed using a liver biopsy, and the NAFLD phenotype including the maximum intima–media thickness (Max-IMT) of the carotid artery was investigated. Patients with the minor allele (A/G or G/G) of rs2236659 showed a lower serum heat shock cognate 71 kDa protein concentration than those with the major A/A allele. Compared with the patients with the major allele, those with the minor allele showed a higher prevalence of hypertension and higher Max-IMT in men. No significant associations between the HSPA8 genotype and hepatic pathological findings were identified. In decision-tree analysis, age, sex, liver fibrosis, and HSPA8 genotype were individually associated with severe carotid artery atherosclerosis (Max-IMT ≥ 1.5 mm). Noncirrhotic men aged ≥ 65 years were most significantly affected by the minor allele of HSPA8. To predict the risk of atherosclerosis and cardiovascular disease, HSPA8 SNP genotyping might be useful, particularly for older male NAFLD patients.
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Affiliation(s)
- Wenli Zhao
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
- Liver Center, Saga University Hospital Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.I.); (S.O.)
| | - Hitoe Mori
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Yuki Tomiga
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Kenichi Tanaka
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Rasheda Perveen
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Keiichiro Mine
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
- Division of Mucosal Immunology, Research Center for Systems Immunology, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
| | - Chika Inadomi
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Wataru Yoshioka
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Yoshihito Kubotsu
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Hiroshi Isoda
- Liver Center, Saga University Hospital Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.I.); (S.O.)
| | - Takuya Kuwashiro
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Satoshi Oeda
- Liver Center, Saga University Hospital Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.I.); (S.O.)
| | - Takumi Akiyama
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Ye Zhao
- Innovative Institute of Chinese Medicine and Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250014, China;
| | - Iwata Ozaki
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
- Health Administration Centre, Saga Medical School, Saga University, Saga 849-8501, Japan
| | - Seiho Nagafuchi
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Atsushi Kawaguchi
- Education and Research Center for Community Medicine, Faculty of Medicine, Saga University, Saga 849-8501, Japan;
| | - Shinichi Aishima
- Department of Pathology and Microbiology, Faculty of Medicine, Saga University, Saga 849-8501, Japan;
| | - Keizo Anzai
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
| | - Hirokazu Takahashi
- Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (W.Z.); (H.M.); (Y.T.); (K.T.); (R.P.); (K.M.); (C.I.); (W.Y.); (Y.K.); (T.K.); (T.A.); (I.O.); (S.N.); (K.A.)
- Liver Center, Saga University Hospital Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.I.); (S.O.)
- Correspondence:
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12
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Large-Scale Multi-Omics Studies Provide New Insights into Blood Pressure Regulation. Int J Mol Sci 2022; 23:ijms23147557. [PMID: 35886906 PMCID: PMC9323755 DOI: 10.3390/ijms23147557] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 06/27/2022] [Accepted: 06/29/2022] [Indexed: 12/04/2022] Open
Abstract
Recent genome-wide association studies uncovered part of blood pressure’s heritability. However, there is still a vast gap between genetics and biology that needs to be bridged. Here, we followed up blood pressure genome-wide summary statistics of over 750,000 individuals, leveraging comprehensive epigenomic and transcriptomic data from blood with a follow-up in cardiovascular tissues to prioritise likely causal genes and underlying blood pressure mechanisms. We first prioritised genes based on coding consequences, multilayer molecular associations, blood pressure-associated expression levels, and coregulation evidence. Next, we followed up the prioritised genes in multilayer studies of genomics, epigenomics, and transcriptomics, functional enrichment, and their potential suitability as drug targets. Our analyses yielded 1880 likely causal genes for blood pressure, tens of which are targets of the available licensed drugs. We identified 34 novel genes for blood pressure, supported by more than one source of biological evidence. Twenty-eight (82%) of these new genes were successfully replicated by transcriptome-wide association analyses in a large independent cohort (n = ~220,000). We also found a substantial mediating role for epigenetic regulation of the prioritised genes. Our results provide new insights into genetic regulation of blood pressure in terms of likely causal genes and involved biological pathways offering opportunities for future translation into clinical practice.
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Qaddoumi M, Hebbar P, Abu-Farha M, Al Somaly A, Melhem M, Al-Kayal F, AlKhairi I, Cherian P, Alanbaei M, Al-Mulla F, Abubaker J, Thanaraj TA. GALNT2 rs4846914 SNP Is Associated with Obesity, Atherogenic Lipid Traits, and ANGPTL3 Plasma Level. Genes (Basel) 2022; 13:genes13071201. [PMID: 35885984 PMCID: PMC9316564 DOI: 10.3390/genes13071201] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/29/2022] [Accepted: 06/29/2022] [Indexed: 02/05/2023] Open
Abstract
N-Acetylgalactosaminyltransferase 2 (GALNT2) is associated with serum lipid levels, insulin resistance, and adipogenesis. Additionally, angiopoietin-like (ANGPTL) proteins have emerged as regulators of lipoprotein lipase and lipid metabolism. In this study, we evaluated the association between GALNT2 rs4846914 variant, known for its association with lipid levels in European cohorts, with plasma levels of ANGPTL proteins, apolipoproteins, lipids, and obesity traits in individuals of Arab ethnicity. GALNT2 rs4846914 was genotyped in a cohort of 278 Arab individuals from Kuwait. Plasma levels of ANGPTL3 and ANGPTL8 were measured by ELISA and apolipoproteins by Luminex multiplexing assay. Allele-based association tests were performed with Bonferroni-corrected p-value thresholds. The GALNT2 rs4846914_G allele was associated with increased ANGPTL3 (p-values ≤ 0.05) but not with ANGPTL8 plasma levels. The allele was associated significantly with higher BMI and weight (p-values < 0.003), increased ApoC1 levels (p-values ≤ 0.006), and reduced HDL levels (p-values ≤ 0.05). Individuals carrying the GG genotype showed significantly decreased HDL and increased BMI, WC, ApoC1, and TG. Interactions exist between (AG+GG) genotypes and measures of percentage body fat, ApoA1A, ApoC1, and ApoB48-mediated HDL levels. GALNT2 is confirmed further as a potential link connecting lipid metabolism and obesity and has the potential to be a drug target for treating obesity and dyslipidemia.
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Affiliation(s)
- Mohammad Qaddoumi
- Pharmacology and Therapeutics Department, Faculty of Pharmacy, Kuwait University, Kuwait City 13110, Kuwait; (M.Q.); (A.A.S.)
| | - Prashantha Hebbar
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman 15462, Kuwait;
| | - Mohamed Abu-Farha
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (M.A.-F.); (I.A.); (P.C.)
| | - Aseelah Al Somaly
- Pharmacology and Therapeutics Department, Faculty of Pharmacy, Kuwait University, Kuwait City 13110, Kuwait; (M.Q.); (A.A.S.)
| | - Motasem Melhem
- Special Services Facility, Dasman Diabetes Institute, Dasman 15462, Kuwait;
| | - Fadi Al-Kayal
- Advanced Genomic Technologies Laboratory, McGill University, Montreal, QC H3A 0G4, Canada;
| | - Irina AlKhairi
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (M.A.-F.); (I.A.); (P.C.)
| | - Preethi Cherian
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (M.A.-F.); (I.A.); (P.C.)
| | - Muath Alanbaei
- Department of Medicine, Faculty of Medicine, Kuwait University, Kuwait City 13110, Kuwait;
| | - Fahd Al-Mulla
- Research Division, Dasman Diabetes Institute, Dasman 15462, Kuwait
- Correspondence: (F.A.-M.); (J.A.); (T.A.T.)
| | - Jehad Abubaker
- Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Dasman 15462, Kuwait; (M.A.-F.); (I.A.); (P.C.)
- Correspondence: (F.A.-M.); (J.A.); (T.A.T.)
| | - Thangavel Alphonse Thanaraj
- Department of Genetics and Bioinformatics, Dasman Diabetes Institute, Dasman 15462, Kuwait;
- Correspondence: (F.A.-M.); (J.A.); (T.A.T.)
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14
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A Review of Vascular Traits and Assessment Techniques, and Their Heritability. Artery Res 2022. [DOI: 10.1007/s44200-022-00016-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
Abstract
AbstractVarious tools are available to assess atherosclerosis, arterial stiffening, and endothelial function. They offer utility in the assessment of hypertensive phenotypes, in cardiovascular risk prediction, and as surrogate endpoints in clinical trials. We explore the relative influence of participant genetics, with reference to large-scale genomic studies, population-based cohorts, and candidate gene studies. We find heritability estimates highest for carotid intima-media thickness (CIMT 35–65%), followed by pulse wave velocity as a measure of arterial stiffness (26–43%), and flow mediated dilatation as a surrogate for endothelial function (14–39%); data were lacking for peripheral artery tonometry. We furthermore examine genes and polymorphisms relevant to each technique. We conclude that CIMT and pulse wave velocity dominate the existing evidence base, with fewer published genomic linkages for measures of endothelial function. We finally make recommendations regarding planning and reporting of data relating to vascular assessment techniques, particularly when genomic data are also available, to facilitate integration of these tools into cardiovascular disease research.
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15
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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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16
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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: 3.5] [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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17
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Wei W, Xuan X, Zhu J, Chen T, Fang Y, Ding J, Ji D, Zhou G, Tang B, He X. EDNRA Gene rs1878406 Polymorphism is Associated With Susceptibility to Large Artery Atherosclerotic Stroke. Front Genet 2022; 12:783074. [PMID: 35047010 PMCID: PMC8763384 DOI: 10.3389/fgene.2021.783074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 11/22/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: We performed this study to investigate whether the EDNRA gene rs1878406 C > T polymorphism is associated with risk of large artery atherosclerosis (LAA) stroke in the Chinese Han population. Methods: Genotyping of rs1878406 was performed in 1,112 LAA stroke patients and 1,192 healthy controls. Multivariate logistic regression analyses were applied to assess the effect of the rs1878406 C > T polymorphism on susceptibility to LAA stroke. Results: A significant increase of LAA stroke risk was found in the recessive model (TT vs. CC/TC, OR = 1.74, 95% CI = 1.23-2.48, p = 0.002) and co-dominant model (TC vs. CC, OR = 1.06, 95% CI = 0.89-1.27, TT vs. CC, OR = 1.79, 95% CI = 1.25-2.55, p = 0.006). However, the interaction between age and genotypes of rs1878406 was not statistically significant, and no significant interactive effect was observed between the rs1878406 C > T polymorphism and sex (p > 0.05). Conclusion: The rs1878406 C > T polymorphism is associated with increased risk of LAA stroke in the Chinese Han population.
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Affiliation(s)
- Wan Wei
- Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xianjun Xuan
- Department of Neurology, Hangzhou Ninth People's Hospital, Hangzhou, China
| | - Jiahui Zhu
- Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Tianwen Chen
- Department of Neurology, Hangzhou Ninth People's Hospital, Hangzhou, China
| | - Yudan Fang
- Department of Neurology, Hangzhou Ninth People's Hospital, Hangzhou, China
| | - Jiao Ding
- Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Danfei Ji
- Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Guoyi Zhou
- Fourth Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China
| | - Bo Tang
- Department of Neurology, Hangzhou Ninth People's Hospital, Hangzhou, China
| | - Xudong He
- Sir Run Xuedong Shaw Hospital, Hangzhou, China
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18
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Dueker ND, Beecham A, Wang L, Dong C, Sacco RL, Blanton SH, Rundek T. Rare variants in previously identified linkage regions associated with carotid plaque in Dominican Republic families. PLoS One 2022; 17:e0250799. [PMID: 35020748 PMCID: PMC8754284 DOI: 10.1371/journal.pone.0250799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Accepted: 04/13/2021] [Indexed: 11/18/2022] Open
Abstract
Carotid plaque is a subclinical measure of atherosclerosis. We have previously shown measures of carotid plaque to be heritable in a sample of 100 Dominican families and found evidence for linkage and association of common variants (CVs) on 7q36, 11p15, 14q32 and 15q23 with plaque presence. Our current study aimed to refine these regions further and identify rare variants (RVs) influencing plaque presence. Therefore, we performed targeted sequencing of the one LOD unit down region on 7q36, 11p15, 14q32 and 15q23 in 12 Dominican families with evidence for linkage to plaque presence. Gene-based RV analyses were performed using the Sequence Association Test for familial data (F-SKAT) under two filtering algorithms; 1. all exonic RVs and 2. non-synonymous RVs. Replication analyses were performed using a sample of 22 Dominican families and 556 unrelated Dominicans with Exome Array data. To identify additional non-synonymous RVs influencing plaque, we looked for co-segregation of RVs with plaque in each of the sequenced families. Our most strongly associated gene with evidence for replication was AMPD3 which showed suggestive association with plaque presence in the sequenced families (exonic RV p = 0.003, nonsynonymous RV p = 0.005) and replication families (exonic RV p = 0.04, nonsynonymous RV p = 0.02). Examination of the sequenced family pedigrees revealed two missense variants on chromosome 11 which co-segregated with plaque presence in one of our families; rs61751342 (located in DENND2B), and rs61760882 (located in RNF141). The rs61751342 missense variant is an eQTL for SCUBE2 in the atrial appendage. Notably, SCUBE2 encodes a protein which interacts with vascular endothelial growth factor (VEGF) receptor 2 to regulate VEGF-induced angiogenesis, thus providing biologic plausibility for this gene in atherosclerosis. In conclusion, using targeted sequencing of previously-identified linkage regions, we have identified suggestive evidence for the role of RVs in carotid plaque pathogenesis.
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MESH Headings
- AMP Deaminase/genetics
- Adaptor Proteins, Signal Transducing/genetics
- Adult
- Aged
- Calcium-Binding Proteins/genetics
- Chromosomes, Human, Pair 11/genetics
- Chromosomes, Human, Pair 14/genetics
- Chromosomes, Human, Pair 15/genetics
- Chromosomes, Human, Pair 7/genetics
- DNA-Binding Proteins/genetics
- Dominican Republic
- Genetic Linkage
- Genotype
- Humans
- Middle Aged
- Pedigree
- Plaque, Atherosclerotic/genetics
- Plaque, Atherosclerotic/pathology
- Polymorphism, Genetic
- Quantitative Trait Loci
- Transcription Factors/genetics
- Tumor Suppressor Proteins/genetics
- Vascular Endothelial Growth Factor Receptor-2/genetics
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Affiliation(s)
- Nicole D. Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
| | - Chuanhui Dong
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
| | - Ralph L. Sacco
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, United States of America
| | - Susan H. Blanton
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL, United States of America
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL, United States of America
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL, United States of America
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL, United States of America
- * E-mail:
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19
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Elorbany R, Popp JM, Rhodes K, Strober BJ, Barr K, Qi G, Gilad Y, Battle A. Single-cell sequencing reveals lineage-specific dynamic genetic regulation of gene expression during human cardiomyocyte differentiation. PLoS Genet 2022; 18:e1009666. [PMID: 35061661 PMCID: PMC8809621 DOI: 10.1371/journal.pgen.1009666] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 02/02/2022] [Accepted: 12/21/2021] [Indexed: 12/13/2022] Open
Abstract
Dynamic and temporally specific gene regulatory changes may underlie unexplained genetic associations with complex disease. During a dynamic process such as cellular differentiation, the overall cell type composition of a tissue (or an in vitro culture) and the gene regulatory profile of each cell can both experience significant changes over time. To identify these dynamic effects in high resolution, we collected single-cell RNA-sequencing data over a differentiation time course from induced pluripotent stem cells to cardiomyocytes, sampled at 7 unique time points in 19 human cell lines. We employed a flexible approach to map dynamic eQTLs whose effects vary significantly over the course of bifurcating differentiation trajectories, including many whose effects are specific to one of these two lineages. Our study design allowed us to distinguish true dynamic eQTLs affecting a specific cell lineage from expression changes driven by potentially non-genetic differences between cell lines such as cell composition. Additionally, we used the cell type profiles learned from single-cell data to deconvolve and re-analyze data from matched bulk RNA-seq samples. Using this approach, we were able to identify a large number of novel dynamic eQTLs in single cell data while also attributing dynamic effects in bulk to a particular lineage. Overall, we found that using single cell data to uncover dynamic eQTLs can provide new insight into the gene regulatory changes that occur among heterogeneous cell types during cardiomyocyte differentiation.
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Affiliation(s)
- Reem Elorbany
- Interdisciplinary Scientist Training Program, University of Chicago, Chicago, Illinois, United States of America
| | - Joshua M. Popp
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Katherine Rhodes
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Benjamin J. Strober
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Kenneth Barr
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
| | - Guanghao Qi
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Yoav Gilad
- Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America
- Department of Medicine, University of Chicago, Chicago, Illinois, United States of America
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Computer Science, Johns Hopkins University, Baltimore, Maryland, United States of America
- Department of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
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20
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Kononov S, Mal G, Azarova I, Klyosova E, Bykanova M, Churnosov M, Polonikov A. Pharmacogenetic loci for rosuvastatin are associated with intima-media thickness change and coronary artery disease risk. Pharmacogenomics 2021; 23:15-34. [PMID: 34905955 DOI: 10.2217/pgs-2021-0097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: Polymorphisms at LPA, LDLR, APOE, APOC1, MYLIP and ABCG2 are attractive targets for assessment of their impact on lipid-lowering therapy with rosuvastatin. The present study investigated whether polymorphisms at these genes are associated with the risk of coronary artery disease (CAD) development, and reduction of atherogenic lipids and carotid intima-media thickness (CIMT) in CAD patients, taking rosuvastatin. Materials & methods: 190 CAD patients and 1697 subjects were enrolled in pharmacogenetic and genetic association study, respectively. SNP genotyping was done using the MassARRAY-4 system. Results: MYLIP rs6924995, rs3757354, APOC1 rs445925, LDLR rs6511720, APOE rs7412, ABCG2 rs2199936, rs1481012 variants were significantly associated with CAD susceptibility (p = 0.016, 0.0003, <0.0001, <0.0001, 0.013, 0.016, 0.0035, respectively), as well as with CIMT regression (except ABCG2 variants; p = 0.05, 0.039, 0.039, 0.016, 0.0065), and changes in plasma lipids during rosuvastatin therapy. Conclusion: The studied polymorphisms possess pleiotropic effects on plasma lipids and CIMT, CAD susceptibility, and determine lipid-lowering response to rosuvastatin.
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Affiliation(s)
- Stanislav Kononov
- Department of Internal Medicine N 2, Kursk State Medical University, 14 Pirogova St., Kursk 305035, Russian Federation
| | - Galina Mal
- Department of Pharmacology, Kursk State Medical University, 3 Karl Marx St., Kursk 305041, Russian Federation
| | - Iuliia Azarova
- Department of Biological Chemistry, Kursk State Medical University, 3 Karl Marx St., Kursk 305041, Russian Federation.,Laboratory of Biochemical Genetics & Metabolomics, Research Institute for Genetic & Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya St., Kursk 305041,, Russian Federation
| | - Elena Klyosova
- Laboratory of Biochemical Genetics & Metabolomics, Research Institute for Genetic & Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya St., Kursk 305041,, Russian Federation.,Department of Biology, Medical Genetics & Ecology, Kursk State Medical University, 3 Karl Marx St., Kursk 305041, Russian Federation
| | - Marina Bykanova
- Department of Biology, Medical Genetics & Ecology, Kursk State Medical University, 3 Karl Marx St., Kursk 305041, Russian Federation.,Laboratory of Genomic Research, Research Institute for Genetic & Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya St., Kursk 305041, Russian Federation
| | - Mikhail Churnosov
- Department of Medical Biological Disciplines, Belgorod State University, 85 Pobeda St., Belgorod 308015, Russian Federation
| | - Alexey Polonikov
- Department of Biology, Medical Genetics & Ecology, Kursk State Medical University, 3 Karl Marx St., Kursk 305041, Russian Federation.,Laboratory of Statistical Genetics & Bioinformatics, Research Institute for Genetic & Molecular Epidemiology, Kursk State Medical University, 18 Yamskaya St., Kursk 305041, Russian Federation
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21
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Claussnitzer M, Susztak K. Gaining insight into metabolic diseases from human genetic discoveries. Trends Genet 2021; 37:1081-1094. [PMID: 34315631 PMCID: PMC8578350 DOI: 10.1016/j.tig.2021.07.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Revised: 06/29/2021] [Accepted: 07/05/2021] [Indexed: 12/30/2022]
Abstract
Human large-scale genetic association studies have identified sequence variations at thousands of genetic risk loci that are more common in patients with diverse metabolic disease compared with healthy controls. While these genetic associations have been replicated in multiple large cohorts and sometimes can explain up to 50% of heritability, the molecular and cellular mechanisms affected by common genetic variation associated with metabolic disease remains mostly unknown. A variety of new genome-wide data types, in conjunction with novel biostatistical and computational analytical methodologies and foundational experimental technologies, are paving the way for a principled approach to systematic variant-to-function (V2F) studies for metabolic diseases, turning associated regions into causal variants, cell types and states of action, effector genes, and cellular and physiological mechanisms. Identification of new target genes and cellular programs for metabolic risk loci will improve mechanistic understanding of disease biology and identification of novel therapeutic strategies.
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Affiliation(s)
- Melina Claussnitzer
- Beth Israel Deaconess Medical Center, The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania, Philadelphia, PA 19104, USA.
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22
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Hanscombe KB, Persyn E, Traylor M, Glanville KP, Hamer M, Coleman JRI, Lewis CM. The genetic case for cardiorespiratory fitness as a clinical vital sign and the routine prescription of physical activity in healthcare. Genome Med 2021; 13:180. [PMID: 34753499 PMCID: PMC8579601 DOI: 10.1186/s13073-021-00994-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 10/19/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Cardiorespiratory fitness (CRF) and physical activity (PA) are well-established predictors of morbidity and all-cause mortality. However, CRF is not routinely measured and PA not routinely prescribed as part of standard healthcare. The American Heart Association (AHA) recently presented a scientific case for the inclusion of CRF as a clinical vital sign based on epidemiological and clinical observation. Here, we leverage genetic data in the UK Biobank (UKB) to strengthen the case for CRF as a vital sign and make a case for the prescription of PA. METHODS We derived two CRF measures from the heart rate data collected during a submaximal cycle ramp test: CRF-vo2max, an estimate of the participants' maximum volume of oxygen uptake, per kilogram of body weight, per minute; and CRF-slope, an estimate of the rate of increase of heart rate during exercise. Average PA over a 7-day period was derived from a wrist-worn activity tracker. After quality control, 70,783 participants had data on the two derived CRF measures, and 89,683 had PA data. We performed genome-wide association study (GWAS) analyses by sex, and post-GWAS techniques to understand genetic architecture of the traits and prioritise functional genes for follow-up. RESULTS We found strong evidence that genetic variants associated with CRF and PA influenced genetic expression in a relatively small set of genes in the heart, artery, lung, skeletal muscle and adipose tissue. These functionally relevant genes were enriched among genes known to be associated with coronary artery disease (CAD), type 2 diabetes (T2D) and Alzheimer's disease (three of the top 10 causes of death in high-income countries) as well as Parkinson's disease, pulmonary fibrosis, and blood pressure, heart rate, and respiratory phenotypes. Genetic variation associated with lower CRF and PA was also correlated with several disease risk factors (including greater body mass index, body fat and multiple obesity phenotypes); a typical T2D profile (including higher insulin resistance, higher fasting glucose, impaired beta-cell function, hyperglycaemia, hypertriglyceridemia); increased risk for CAD and T2D; and a shorter lifespan. CONCLUSIONS Genetics supports three decades of evidence for the inclusion of CRF as a clinical vital sign. Given the genetic, clinical and epidemiological evidence linking CRF and PA to increased morbidity and mortality, regular measurement of CRF as a marker of health and routine prescription of PA could be a prudent strategy to support public health.
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Affiliation(s)
- Ken B Hanscombe
- Department of Medical & Molecular Genetics, King's College London, London, UK. .,Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK.
| | - Elodie Persyn
- Department of Medical & Molecular Genetics, King's College London, London, UK
| | | | - Kylie P Glanville
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Mark Hamer
- Institute of Sport Exercise & Health, Division of Surgery and Interventional Science, University College London, London, UK
| | - Jonathan R I Coleman
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Cathryn M Lewis
- Department of Medical & Molecular Genetics, King's College London, London, UK.,Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
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23
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Portilla-Fernández E, Hwang SJ, Wilson R, Maddock J, Hill WD, Teumer A, Mishra PP, Brody JA, Joehanes R, Ligthart S, Ghanbari M, Kavousi M, Roks AJM, Danser AHJ, Levy D, Peters A, Ghasemi S, Schminke U, Dörr M, Grabe HJ, Lehtimäki T, Kähönen M, Hurme MA, Bartz TM, Sotoodehnia N, Bis JC, Thiery J, Koenig W, Ong KK, Bell JT, Meisinger C, Wardlaw JM, Starr JM, Seissler J, Then C, Rathmann W, Ikram MA, Psaty BM, Raitakari OT, Völzke H, Deary IJ, Wong A, Waldenberger M, O'Donnell CJ, Dehghan A. Meta-analysis of epigenome-wide association studies of carotid intima-media thickness. Eur J Epidemiol 2021; 36:1143-1155. [PMID: 34091768 PMCID: PMC8629903 DOI: 10.1007/s10654-021-00759-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 04/26/2021] [Indexed: 12/21/2022]
Abstract
Common carotid intima-media thickness (cIMT) is an index of subclinical atherosclerosis that is associated with ischemic stroke and coronary artery disease (CAD). We undertook a cross-sectional epigenome-wide association study (EWAS) of measures of cIMT in 6400 individuals. Mendelian randomization analysis was applied to investigate the potential causal role of DNA methylation in the link between atherosclerotic cardiovascular risk factors and cIMT or clinical cardiovascular disease. The CpG site cg05575921 was associated with cIMT (beta = -0.0264, p value = 3.5 × 10-8) in the discovery panel and was replicated in replication panel (beta = -0.07, p value = 0.005). This CpG is located at chr5:81649347 in the intron 3 of the aryl hydrocarbon receptor repressor gene (AHRR). Our results indicate that DNA methylation at cg05575921 might be in the pathway between smoking, cIMT and stroke. Moreover, in a region-based analysis, 34 differentially methylated regions (DMRs) were identified of which a DMR upstream of ALOX12 showed the strongest association with cIMT (p value = 1.4 × 10-13). In conclusion, our study suggests that DNA methylation may play a role in the link between cardiovascular risk factors, cIMT and clinical cardiovascular disease.
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Affiliation(s)
- Eliana Portilla-Fernández
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Internal Medicine, Division of Vascular Medicine and Pharmacology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jane Maddock
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Alexander Teumer
- Intitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Griefswald, Greifswald, Germany
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Anton J M Roks
- Department of Internal Medicine, Division of Vascular Medicine and Pharmacology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - A H Jan Danser
- Department of Internal Medicine, Division of Vascular Medicine and Pharmacology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daniel Levy
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Sahar Ghasemi
- Intitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Griefswald, Greifswald, Germany
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald, Greifswald, Germany
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), Partner Site Griefswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joachim Thiery
- Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital, Leipzig, Leipzig, Germany
| | - Wolfgang Koenig
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Munich, Germany
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Ken K Ong
- MRC Epidemiology Unit and Department of Paediatrics, Wellcome Trust-MRC Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Christine Meisinger
- Independent Research Group, Clinical Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
- Ludwig-Maximilians-Universität München, UNIKA-T, Augsburg, Germany
| | - Joanna M Wardlaw
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
| | - Jochen Seissler
- Diabetes Zentrum, Medizinische Klinik und Poliklinik IV - Campus Innenstadt, Klinikum Der Ludwig-Maximilians-Universität München, Munich, Germany
- Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
| | - Cornelia Then
- Diabetes Zentrum, Medizinische Klinik und Poliklinik IV - Campus Innenstadt, Klinikum Der Ludwig-Maximilians-Universität München, Munich, Germany
- Clinical Cooperation Group Diabetes, Ludwig-Maximilians-Universität München and Helmholtz Zentrum München, Munich, Germany
| | - Wolfgang Rathmann
- German Center for Diabetes Research, Neuherberg, Germany
- Institute of Biometrics and Epidemiology, German Diabetes Center, Leibniz Institute at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - 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 Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Olli T Raitakari
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Henry Völzke
- Intitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Griefswald, Greifswald, Germany
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK
- Department of Psychology, University of Edinburgh, Edinburgh, UK
| | - Andrew Wong
- MRC Unit for Lifelong Health and Ageing at UCL, Institute of Cardiovascular Science, University College London, London, UK
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- German Center for Diabetes Research, Neuherberg, Germany
| | - Christopher J O'Donnell
- Cardiology Section and Center for Population Genomics, VA Boston Healthcare System, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.
- Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, Room 157, Norfolk Place, St Mary's Campus, London, UK.
- UK Dementia Research Institute at Imperial College London, London, UK.
- MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
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24
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Lu Y, Dimitrov L, Chen SH, Bielak LF, Bis JC, Feitosa MF, Lu L, Kavousi M, Raffield LM, Smith AV, Wang L, Weiss S, Yao J, Zhu J, Gudmundsson EF, Gudmundsdottir V, Bos D, Ghanbari M, Ikram MA, Hwang SJ, Taylor KD, Budoff MJ, Gíslason GK, O’Donnell CJ, An P, Franceschini N, Freedman BI, Fu YP, Guo X, Heiss G, Kardia SL, Wilson JG, Langefeld CD, Schminke U, Uitterlinden AG, Lange LA, Peyser PA, Gudnason VG, Psaty BM, Rotter JI, Bowden DW, Ng MCY. Multiethnic Genome-Wide Association Study of Subclinical Atherosclerosis in Individuals With Type 2 Diabetes. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2021; 14:e003258. [PMID: 34241534 PMCID: PMC8435075 DOI: 10.1161/circgen.120.003258] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 06/20/2021] [Indexed: 11/16/2022]
Abstract
BACKGROUND Coronary artery calcification (CAC) and carotid artery intima-media thickness (cIMT) are measures of subclinical atherosclerosis in asymptomatic individuals and strong risk factors for cardiovascular disease. Type 2 diabetes (T2D) is an independent cardiovascular disease risk factor that accelerates atherosclerosis. METHODS We performed meta-analyses of genome-wide association studies in up to 2500 T2D individuals of European ancestry (EA) and 1590 T2D individuals of African ancestry with or without exclusion of prevalent cardiovascular disease, for CAC measured by cardiac computed tomography, and 3608 individuals of EA and 838 individuals of African ancestry with T2D for cIMT measured by ultrasonography within the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium. RESULTS We replicated 2 loci (rs9369640 and rs9349379 near PHACTR1 and rs10757278 near CDKN2B) for CAC and one locus for cIMT (rs7412 and rs445925 near APOE-APOC1) that were previously reported in the general EA populations. We identified one novel CAC locus (rs8000449 near CSNK1A1L/LINC00547/POSTN at 13q13.3) at P=2.0×10-8 in EA. No additional loci were identified with the meta-analyses of EA and African ancestry. The expression quantitative trait loci analysis with nearby expressed genes derived from arterial wall and metabolic tissues from the Genotype-Tissue Expression project pinpoints POSTN, encoding a matricellular protein involved in bone formation and bone matrix organization, as the potential candidate gene at this locus. In addition, we found significant associations (P<3.1×10-4) for 3 previously reported coronary artery disease loci for these subclinical atherosclerotic phenotypes (rs2891168 near CDKN2B-AS1 and rs11170820 near FLJ12825 for CAC, and rs7412 near APOE for cIMT). CONCLUSIONS Our results provide potential biological mechanisms that could link CAC and cIMT to increased cardiovascular disease risk in individuals with T2D.
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Affiliation(s)
- Yingchang Lu
- Vanderbilt Genetic Institute, Division of Genetic Medicine,
Vanderbilt University Medical Center, Nashville, TN
| | - Latchezar Dimitrov
- Center for Precision Medicine, Wake Forest School of
Medicine, Winston-Salem, NC
| | - Shyh-Huei Chen
- Department of Biostatistics & Data Science, Wake Forest
School of Medicine, Winston-Salem, NC
| | - Lawrence F. Bielak
- Department of Epidemiology, School of Public Health,
University of Michigan, Ann Arbor, MI
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Departments of
Medicine, Epidemiology & Health Services, University of Washington, Seattle,
WA
| | - Mary F. Feitosa
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, Farrell Learning Center, St Louis,
MO
| | - Lingyi Lu
- Department of Biostatistics & Data Science, Wake Forest
School of Medicine, Winston-Salem, NC
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Centre,
Rotterdam, the Netherlands
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina,
Chapel Hill, NC
| | - Albert V. Smith
- Faculty of Medicine, University of Iceland, Reykjavik &
Icelandic Heart Association, Kopavogur, Iceland & Department of Biostatistics,
School of Public Health, University of Michigan, Ann Arbor, MI
| | - Lihua Wang
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, Farrell Learning Center, St Louis,
MO
| | - Stefan Weiss
- Interfaculty Institute for Genetics and Functional
Genomics, Department of Functional Genomics, University of Greifswald &
University Medicine Greifswald, Greifswald & DZHK (German Centre for
Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Jie Yao
- The Institute for Translational Genomics and Population
Sciences & Department of Pediatrics, The Lundquist Institute for Biomedical
Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Jiaxi Zhu
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, Farrell Learning Center, St Louis,
MO
| | - Elias F. Gudmundsson
- Faculty of Medicine, University of Iceland, Reykjavik
& Icelandic Heart Association, Kopavogur, Iceland
| | - Valborg Gudmundsdottir
- Faculty of Medicine, University of Iceland, Reykjavik
& Icelandic Heart Association, Kopavogur, Iceland
| | - Daniel Bos
- Department of Epidemiology, Erasmus Medical Centre &
Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center
Rotterdam, Rotterdam, the Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Centre,
Rotterdam, the Netherlands
| | - M. Arfan Ikram
- Department of Epidemiology, Erasmus Medical Centre,
Rotterdam, the Netherlands
| | - Shih-Jen Hwang
- The Population Sciences Branch, Division of Intramural
Research, National Heart, Lung and Blood Institute, National Institutes of Health,
Bethesda, MD & The Framingham Heart Study, National Heart, Lung and Blood
Institute, National Institutes of Health, Framingham, MA
| | - 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
| | - Matthew J. Budoff
- Division of Cardiology, Lundquist Institute at
Harbor-UCLA Medical Center, Torrance, CA
| | - Gauti K. Gíslason
- Faculty of Medicine, University of Iceland, Reykjavik
& Icelandic Heart Association, Kopavogur, Iceland
| | - Christopher J. O’Donnell
- VA Boston Healthcare System & Department of Medicine,
Brigham Women’s Hospital & Department of Medicine, Harvard Medical
School, Boston, MA
| | - Ping An
- Division of Statistical Genomics, Department of Genetics,
Washington University School of Medicine, Farrell Learning Center, St Louis,
MO
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina,
Chapel Hill, NC
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of
Medicine, Winston-Salem, NC
| | - Yi-Ping Fu
- The Framingham Heart Study, National Heart, Lung and
Blood Institute, National Institutes of Health, Framingham, MA & Office of
Biostatistics Research, National Heart, Lung, and Blood Institute, National
Institutes of Health, Bethesda, MD
| | - 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
| | - Gerardo Heiss
- Department of Epidemiology, University of North Carolina,
Chapel Hill, NC
| | - Sharon L.R. Kardia
- Department of Epidemiology, School of Public Health,
University of Michigan, Ann Arbor, MI
| | - James G. Wilson
- Department of Physiology and Biophysics, University of
Mississippi Medical Center, Jackson, MS & Department of Cardiology, Beth Israel
Deaconess Medical Center, Boston, MA
| | - Carl D. Langefeld
- Center for Precision Medicine & Department of
Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem,
NC
| | - Ulf Schminke
- Department of Neurology, University Medicine Greifswald,
Greifswald, Germany
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus Medical Centre &
Department of Internal Medicine, Erasmus MC University Medical Center Rotterdam,
Rotterdam, the Netherlands
| | - Leslie A. Lange
- Division of Biomedical Informatics and Personalized
Medicine, School of Medicine, University of Colorado, Anschutz Medical Campus,
Aurora, CO
| | - Patricia A. Peyser
- Department of Epidemiology, School of Public Health,
University of Michigan, Ann Arbor, MI
| | - Vilmundur G. Gudnason
- Faculty of Medicine, University of Iceland, Reykjavik
& Icelandic Heart Association, Kopavogur, Iceland
| | - Bruce M. Psaty
- Departments of Epidemiology & Health Services,
University of Washington, Seattle, WA
| | - 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
| | - Donald W. Bowden
- Center for Precision Medicine & Department of
Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Maggie CY Ng
- Vanderbilt Genetic Institute, Division of Genetic
Medicine, Vanderbilt University Medical Center, Nashville, TN & Center for
Precision Medicine, Wake Forest School of Medicine, Winston-Salem, NC
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25
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Polygenic Risk Scores to Identify CVD Risk and Tailor Therapy: Hope or Hype? Curr Atheroscler Rep 2021; 23:47. [PMID: 34181090 DOI: 10.1007/s11883-021-00950-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/16/2021] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The purpose of this review is to understand the conceptual basis and implications of polygenic risk scores (PRS) in assessing risk of future coronary artery disease (CAD). RECENT FINDINGS Genetic information from the USA and beyond has been pooled together to create population-based biobanks, composed of millions of genotyped individuals, which have helped further our understanding of the relationship between single nucleotide polymorphisms (SNPs) and CAD. Contemporary PRS composed of millions of SNPs now serve as the gold standard and have been evaluated in several cohort studies to predict risk of CAD and potentially help guide pharmacotherapy. The development of PRS has enhanced our understanding of the relationship between genes and disease, thereby facilitating CAD risk prediction. While certain constraints currently limit their utility in clinical practice, further refinement of this tool will enable clinicians to more fully understand genetic risk and improve preventive care.
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26
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Alloza I, Salegi A, Mena J, Navarro RT, Martin C, Aspichueta P, Salazar LM, Carpio JU, Cagigal PDLH, Vega R, Triviño JC, Freijo MDM, Vandenbroeck K. BIRC6 Is Associated with Vulnerability of Carotid Atherosclerotic Plaque. Int J Mol Sci 2020; 21:ijms21249387. [PMID: 33317170 PMCID: PMC7763522 DOI: 10.3390/ijms21249387] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/04/2020] [Accepted: 12/08/2020] [Indexed: 11/16/2022] Open
Abstract
Carotid atherosclerotic plaque rupture can lead to cerebrovascular accident (CVA). By comparing RNA-Seq data from vascular smooth muscle cells (VSMC) extracted from carotid atheroma surgically excised from a group of asymptomatic and symptomatic subjects, we identified more than 700 genomic variants associated with symptomatology (p < 0.05). From these, twelve single nucleotide polymorphisms (SNPs) were selected for further validation. Comparing genotypes of a hospital-based cohort of asymptomatic with symptomatic patients, an exonic SNP in the BIRC6 (BRUCE/Apollon) gene, rs35286811, emerged as significantly associated with CVA symptomatology (p = 0.002; OR = 2.24). Moreover, BIRC6 mRNA levels were significantly higher in symptomatic than asymptomatic subjects upon measurement by qPCR in excised carotid atherosclerotic tissue (p < 0.0001), and significantly higher in carriers of the rs35286811 risk allele (p < 0.0001). rs35286811 is a proxy of a GWAS SNP reported to be associated with red cell distribution width (RDW); RDW was increased in symptomatic patients (p < 0.03), but was not influenced by the rs35286811 genotype in our cohort. BIRC6 is a negative regulator of both apoptosis and autophagy. This work introduces BIRC6 as a novel genetic risk factor for stroke, and identifies autophagy as a genetically regulated mechanism of carotid plaque vulnerability.
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Affiliation(s)
- Iraide Alloza
- Inflammation & Biomarkers Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (I.A.); (A.S.); (J.M.); (R.T.N.)
- Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Andrea Salegi
- Inflammation & Biomarkers Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (I.A.); (A.S.); (J.M.); (R.T.N.)
- Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Jorge Mena
- Inflammation & Biomarkers Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (I.A.); (A.S.); (J.M.); (R.T.N.)
- Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - Raquel Tulloch Navarro
- Inflammation & Biomarkers Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (I.A.); (A.S.); (J.M.); (R.T.N.)
- Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
| | - César Martin
- Biofisika Institute (UPV/EHU, CSIC), 48940 Leioa, Spain;
| | - Patricia Aspichueta
- Department of Physiology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain;
- Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain
| | - Lucía Martínez Salazar
- Department of Laboratory Medicine, Osakidetza, Bilbao-Basurto IHO, Basurto University Hospital, 48013 Bilbao, Spain; (L.M.S.); (J.U.C.); (P.D.-l.-H.C.)
| | - Jon Uriarte Carpio
- Department of Laboratory Medicine, Osakidetza, Bilbao-Basurto IHO, Basurto University Hospital, 48013 Bilbao, Spain; (L.M.S.); (J.U.C.); (P.D.-l.-H.C.)
| | - Patricia De-la-Hera Cagigal
- Department of Laboratory Medicine, Osakidetza, Bilbao-Basurto IHO, Basurto University Hospital, 48013 Bilbao, Spain; (L.M.S.); (J.U.C.); (P.D.-l.-H.C.)
| | - Reyes Vega
- Neurovascular Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (R.V.); (M.d.M.F.)
| | | | - Maria del Mar Freijo
- Neurovascular Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (R.V.); (M.d.M.F.)
| | - Koen Vandenbroeck
- Inflammation & Biomarkers Group, Biocruces Bizkaia Health Research Institute, 48903 Barakaldo, Spain; (I.A.); (A.S.); (J.M.); (R.T.N.)
- Department of Biochemistry and Molecular Biology, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain
- Ikerbasque, Basque Foundation for Science, 48013 Bilbao, Spain
- Correspondence:
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Regional Variation in Genetic Control of Atherosclerosis in Hyperlipidemic Mice. G3-GENES GENOMES GENETICS 2020; 10:4679-4689. [PMID: 33109727 PMCID: PMC7718748 DOI: 10.1534/g3.120.401856] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Atherosclerosis is a polygenic disorder that often affects multiple arteries. Carotid arteries are common sites for evaluating subclinical atherosclerosis, and aortic root is the standard site for quantifying atherosclerosis in mice. We compared genetic control of atherosclerosis between the two sites in the same cohort derived from two phenotypically divergent Apoe-null (Apoe -/-) mouse strains. Female F2 mice were generated from C57BL/6 (B6) and C3H/He (C3H) Apoe -/- mice and fed 12 weeks of Western diet. Atherosclerotic lesions in carotid bifurcation and aortic root and plasma levels of fasting lipids and glucose were measured. 153 genetic markers across the genome were typed. All F2 mice developed aortic atherosclerosis, while 1/5 formed no or little carotid lesions. Genome-wide scans revealed 3 significant loci on chromosome (Chr) 1, Chr15, 6 suggestive loci for aortic atherosclerosis, 2 significant loci on Chr6, Chr12, and 6 suggestive loci for carotid atherosclerosis. Only 2 loci for aortic lesions showed colocalization with loci for carotid lesions. Carotid lesion sizes were moderately correlated with aortic lesion sizes (r = 0.303; P = 4.6E-6), but they showed slight or no association with plasma HDL, non-HDL cholesterol, triglyceride, or glucose levels among F2 mice. Bioinformatics analyses prioritized Cryge as a likely causal gene for Ath30, Cdh6 and Dnah5 as causal genes for Ath22 Our data demonstrate vascular site-specific effects of genetic factors on atherosclerosis in the same animals and highlight the need to extend studies of atherosclerosis to sites beyond aortas of mice.
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Atherosclerosis in Different Vascular Locations Unbiasedly Approached with Mouse Genetics. Genes (Basel) 2020; 11:genes11121427. [PMID: 33260687 PMCID: PMC7760563 DOI: 10.3390/genes11121427] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 11/24/2020] [Accepted: 11/26/2020] [Indexed: 01/01/2023] Open
Abstract
Atherosclerosis in different vascular locations leads to distinct clinical consequences, such as ischemic stroke and myocardial infarction. Genome-wide association studies in humans revealed that genetic loci responsible for carotid plaque and coronary artery disease were not overlapping, suggesting that distinct genetic pathways might be involved for each location. While elevated plasma cholesterol is a common risk factor, plaque development in different vascular beds is influenced by hemodynamics and intrinsic vascular integrity. Despite the limitation of species differences, mouse models provide platforms for unbiased genetic approaches. Mouse strain differences also indicate that susceptibility to atherosclerosis varies, depending on vascular locations, and that the location specificity is genetically controlled. Quantitative trait loci analyses in mice suggested candidate genes, including Mertk and Stab2, although how each gene affects the location-specific atherosclerosis needs further elucidation. Another unbiased approach of single-cell transcriptome analyses revealed the presence of a small subpopulation of vascular smooth muscle cells (VSMCs), which are “hyper-responsive” to inflammatory stimuli. These cells are likely the previously-reported Sca1+ progenitor cells, which can differentiate into multiple lineages in plaques. Further spatiotemporal analyses of the progenitor cells are necessary, since their distribution pattern might be associated with the location-dependent plaque development.
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29
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Palmer MR, Kim DS, Crosslin DR, Stanaway IB, Rosenthal EA, Carrell DS, Cronkite DJ, Gordon A, Du X, Li YK, Williams MS, Weng C, Feng Q, Li R, Pendergrass SA, Hakonarson H, Fasel D, Sohn S, Sleiman P, Handelman SK, Speliotes E, Kullo IJ, Larson EB, Jarvik GP. Loci identified by a genome-wide association study of carotid artery stenosis in the eMERGE network. Genet Epidemiol 2020; 45:4-15. [PMID: 32964493 PMCID: PMC7891640 DOI: 10.1002/gepi.22360] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/29/2020] [Accepted: 08/11/2020] [Indexed: 12/21/2022]
Abstract
Carotid artery atherosclerotic disease (CAAD) is a risk factor for stroke. We used a genome-wide association (GWAS) approach to discover genetic variants associated with CAAD in participants in the electronic Medical Records and Genomics (eMERGE) Network. We identified adult CAAD cases with unilateral or bilateral carotid artery stenosis and controls without evidence of stenosis from electronic health records at eight eMERGE sites. We performed GWAS with a model adjusting for age, sex, study site, and genetic principal components of ancestry. In eMERGE we found 1793 CAAD cases and 17,958 controls. Two loci reached genome-wide significance, on chr6 in LPA (rs10455872, odds ratio [OR] (95% confidence interval [CI]) = 1.50 (1.30-1.73), p = 2.1 × 10-8 ) and on chr7, an intergenic single nucleotide variant (SNV; rs6952610, OR (95% CI) = 1.25 (1.16-1.36), p = 4.3 × 10-8 ). The chr7 association remained significant in the presence of the LPA SNV as a covariate. The LPA SNV was also associated with coronary heart disease (CHD; 4199 cases and 11,679 controls) in this study (OR (95% CI) = 1.27 (1.13-1.43), p = 5 × 10-5 ) but the chr7 SNV was not (OR (95% CI) = 1.03 (0.97-1.09), p = .37). Both variants replicated in UK Biobank. Elevated lipoprotein(a) concentrations ([Lp(a)]) and LPA variants associated with elevated [Lp(a)] have previously been associated with CAAD and CHD, including rs10455872. With electronic health record phenotypes in eMERGE and UKB, we replicated a previously known association and identified a novel locus associated with CAAD.
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Affiliation(s)
- Melody R Palmer
- Division of Medical Genetics, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Daniel S Kim
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - David R Crosslin
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Ian B Stanaway
- Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Elisabeth A Rosenthal
- Division of Medical Genetics, School of Medicine, University of Washington, Seattle, Washington, USA
| | - David S Carrell
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - David J Cronkite
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
| | - Adam Gordon
- Center for Genetic Medicine, Northwestern University, Chicago, Illinois, USA
| | - Xiaomeng Du
- Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Yatong K Li
- Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
| | - Marc S Williams
- Genomic Medicine Institute, Geisinger, Danville, Pennsylvania, USA
| | - Chunhua Weng
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | - Qiping Feng
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Rongling Li
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, Maryland, USA
| | | | - Hakon Hakonarson
- Department of Pediatrics, The Center for Applied Genomics, Children's Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - David Fasel
- Department of Biomedical Informatics, Columbia University, New York, New York, USA
| | | | - Patrick Sleiman
- Department of Pediatrics, The Children's Hospital of Philadelphia, The Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Samuel K Handelman
- Division of Gastroenterology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Elizabeth Speliotes
- Division of Gastroenterology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
| | - Iftikhar J Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Eric B Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, Washington, USA
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- The electronic Medical Records and GEnomics Network, NHGRI, NIH, Bethesda, Maryland, USA
| | - Gail P Jarvik
- Division of Medical Genetics, School of Medicine, University of Washington, Seattle, Washington, USA
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Dueker ND, Doliner B, Gardener H, Dong C, Beecham A, Della-Morte D, Sacco RL, Blanton SH, Wang L, Rundek T. Extreme Phenotype Approach Suggests Taste Transduction Pathway for Carotid Plaque in a Multi-Ethnic Cohort. Stroke 2020; 51:2761-2769. [PMID: 32811377 PMCID: PMC7483772 DOI: 10.1161/strokeaha.120.028979] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 06/11/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Carotid plaque is a heritable trait and a strong predictor of vascular events. Several loci have been identified for carotid plaque, however, studies in minority populations are lacking. Within a multi-ethnic cohort, we have identified individuals with extreme total carotid plaque area (TCPA), that is, higher or lower TCPA than expected based on traditional vascular risk factors (age, sex, smoking, diabetes mellitus, hypertension, etc). We hypothesized that these individuals are enriched with genetic variants accounting for the plaque burden that cannot be explained by traditional vascular risk factors. Herein, we sought to identify the genetic basis for TCPA using the multi-ethnic cohort. METHODS Three hundred forty participants (170 from each extreme group) from 3 race/ethnic groups (53% Hispanic, 29% non-Hispanic Black, and 18% non-Hispanic White) were genotyped using a genome-wide single-nucleotide polymorphism (SNP) array and imputed using 1000Genome data. SNP-based analyses using logistic regression and gene-based analyses using VEGAS2 were performed within each race/ethnic group and then meta-analyzed. Genes with P<0.001 were included in an overrepresentation enrichment pathway analysis using WebGestalt. Promising findings were tested for association with ischemic stroke using the MEGASTROKE Consortium data set. RESULTS No SNP or gene reached genome-wide significance. In the pathway analysis, GO:0050913 (sensory perception of bitter taste) gene set was significantly enriched (P=4.5×10-6, false discovery rate=0.04), which was confirmed in MEGASTROKE (P=0.01). Within the GO:0050913 gene set, 3 genes were associated with extreme TCPA in our study (P<0.001): TAS2R20, TAS2R50, and ITPR3. In TAS2R50, rs1376251 is the top SNP and has been associated with myocardial infarction by others. In ITPR3, a SNP with high regulatory potential (rs3818527, RegulomeScore=1f), and ITPR3 itself were among the top SNP-based and gene-based results and showed consistent evidence for association in all ethnic groups (P<0.05). CONCLUSIONS Extreme TCPA analysis identified new candidate genes for carotid plaque in understudied populations.
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Affiliation(s)
- Nicole D. Dueker
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - Brett Doliner
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - Hannah Gardener
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Chuanhui Dong
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Ashley Beecham
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
| | - David Della-Morte
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
- Department of Systems Medicine, School of Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Ralph L. Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
- Department of Public Health Sciences, Miller School of Medicine, University of Miami, Miami, FL USA
| | - Susan H. Blanton
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
| | - Liyong Wang
- John P. Hussman Institute for Human Genomics, University of Miami, Miami, FL USA
- Dr. John T. Macdonald Foundation Department of Human Genetics, University of Miami, Miami, FL USA
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, Miami, FL USA
- Evelyn F. McKnight Brain Institute, Department of Neurology, University of Miami, Miami, FL USA
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Pott J, Beutner F, Horn K, Kirsten H, Olischer K, Wirkner K, Loeffler M, Scholz M. Genome-wide analysis of carotid plaque burden suggests a role of IL5 in men. PLoS One 2020; 15:e0233728. [PMID: 32469969 PMCID: PMC7259763 DOI: 10.1371/journal.pone.0233728] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Accepted: 05/11/2020] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND Carotid artery plaque is an established marker of subclinical atherosclerosis with pronounced sex-dimorphism. Here, we aimed to identify genetic variants associated with carotid plaque burden (CPB) and to examine potential sex-specific genetic effects on plaque sizes. METHODS AND RESULTS We defined six operationalizations of CPB considering plaques in common carotid arteries, carotid bulb, and internal carotid arteries. We performed sex-specific genome-wide association analyses for all traits in the LIFE-Adult cohort (n = 727 men and n = 550 women) and tested significantly associated loci for sex-specific effects. In order to identify causal genes, we analyzed candidate gene expression data for correlation with CPB traits and corresponding sex-specific effects. Further, we tested if previously reported SNP associations with CAD and plaque prevalence are also associated with CBP. We found seven loci with suggestive significance for CPB (p<3.33x10-7), explaining together between 6 and 13% of the CPB variance. Sex-specific analysis showed a genome-wide significant hit for men at 5q31.1 (rs201629990, β = -0.401, p = 5.22x10-9), which was not associated in women (β = -0.127, p = 0.093) with a significant difference in effect size (p = 0.008). Analyses of gene expression data suggested IL5 as the most plausible candidate, as it reflected the same sex-specific association with CPBs (p = 0.037). Known plaque prevalence or CAD loci showed no enrichment in the association with CPB. CONCLUSIONS We showed that CPB is a complementary trait in analyzing genetics of subclinical atherosclerosis. We detected a novel locus for plaque size in men only suggesting a role of IL5. Several estrogen response elements in this locus point towards a functional explanation of the observed sex-specific effect.
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Affiliation(s)
- Janne Pott
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Leipzig University Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
| | - Frank Beutner
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Heart Center Leipzig, Leipzig, Germany
| | - Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Holger Kirsten
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Kay Olischer
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Kerstin Wirkner
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
| | - Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig, Leipzig, Germany
- LIFE Research Center for Civilization Diseases, University of Leipzig, Leipzig, Germany
- Leipzig University Medical Center, IFB Adiposity Diseases, University of Leipzig, Leipzig, Germany
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Mohammadzadeh V, Mehrpour M, Ghoreishi A, Kamali K, Zamani B. The association between serum 25-hydroxyvitamin D level and subclinical atherosclerosis in healthy population. CURRENT JOURNAL OF NEUROLOGY 2020; 19:53-58. [PMID: 38011463 PMCID: PMC7874889 DOI: 10.18502/cjn.v19i2.4941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2019] [Accepted: 02/05/2020] [Indexed: 11/29/2023]
Abstract
Background: Subclinical atherosclerosis is the asymptomatic phase of carotid atherosclerosis, and its early diagnosis is important to prevent cerebrovascular diseases. Although the vitamin D plays a role in the structure of vessels, the association between the serum level of vitamin D and subclinical atherosclerosis has not been well-studied. We aimed to investigate the association between serum vitamin D level and carotid artery intima-media thickness (CIMT) in Iranian population. Methods: One hundred individuals with the age range from 20 to 50 years with no history of cardiovascular risk factors were selected for the analysis. Measurements of serum 25-hydroxyvitamin D3 [25(OH) D3] concentration and CIMT were made. Confounding factors such as diabetes, hypertension (HTN), smoking, alcohol, tobacco, dyslipidemia, cardiovascular disease (CVD), high body mass index (BMI), history of drug intake especially calcium, vitamin D, statins, and anti-hypertensive drugs were considered and then excluded from our study. Results: The mean serum vitamin D level was 15.55 ± 0.42 ng/ml, whereas in the increased intima-media thickness (IMT), it was 12.50 ± 9.50 ng/ml. 55% of the subjects were diagnosed with subclinical atherosclerosis (IMT ≥ 0.75 mm). Mean IMT was 0.74 ± 0.12 mm; however, it was higher (0.86 ± 0.30) in severe vitamin D deficiency group. The analysis showed an association between serum 25(OH) D3 level and CIMT (P = 0.002). 44% of those participants with subclinical atherosclerosis had also a severe vitamin D deficiency, while only 13% of normal people had a severe vitamin D deficiency. Also, a correlation was observed between severe vitamin D deficiency and the presence of plaque or higher IMT. Conclusion: Serum 25(OH) D3 level was inversely correlated with CIMT in our investigated subjects with no cardiovascular risk factor.
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Affiliation(s)
- Vida Mohammadzadeh
- Department of Neurology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
- Vali-e Asr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Masoud Mehrpour
- Department of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Abdoreza Ghoreishi
- Department of Neurology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
- Vali-e Asr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Koorosh Kamali
- Department of Public Health, School of Public Health, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Babak Zamani
- Department of Neurology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
- Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
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Tschiderer L, Klingenschmid G, Seekircher L, Willeit P. Carotid intima-media thickness predicts carotid plaque development: Meta-analysis of seven studies involving 9341 participants. Eur J Clin Invest 2020; 50:e13217. [PMID: 32112400 PMCID: PMC7187327 DOI: 10.1111/eci.13217] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2019] [Revised: 02/19/2020] [Accepted: 02/26/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND Carotid intima-media thickness and carotid plaque are well-established imaging markers used to capture different stages of the atherosclerotic disease process. We aimed to quantify to which extent carotid intima-media thickness predicts incidence of first-ever carotid plaque. MATERIALS AND METHODS Two independent reviewers conducted a comprehensive literature search of PubMed and Web of Science. To be eligible for inclusion, prospective studies were required to involve participants free of carotid plaque at baseline and report on the association of baseline carotid intima-media thickness with development of first-ever carotid plaque. Study-specific relative risks and 95% confidence intervals were collected and pooled using random-effects meta-analysis. RESULTS We identified seven relevant prospective studies involving a total of 9341 participants. Individuals were recruited between 1987 and 2012, average age at baseline was 54 years, and 63% were female. Studies reported on 1288 incident first-ever carotid plaques, occurring over an average maximum follow-up of 8.7 years. When individuals in the top fourth of baseline carotid intima-media thickness distribution were compared with those in the bottom fourth, the pooled relative risk for incidence of first-ever carotid plaque was 1.78 (95% confidence interval: 1.53-2.07, P < .001, I2 = 2.8%). The strength of association was not modified by mean baseline age, proportion of female participants, length of follow-up, year of baseline, and geographical location of the studies. CONCLUSIONS In general population studies, elevated baseline carotid intima-media thickness is associated with incidence of carotid plaque in individuals free of carotid plaque at baseline.
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Affiliation(s)
- Lena Tschiderer
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Lisa Seekircher
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Peter Willeit
- Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.,Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
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Nail AN, Smith JJ, Peterson ML, Spear BT. Evolutionary Analysis of the Zinc Finger and Homeoboxes Family of Proteins Identifies Multiple Conserved Domains and a Common Early Chordate Ancestor. Genome Biol Evol 2020; 12:174-184. [PMID: 32125369 PMCID: PMC7144352 DOI: 10.1093/gbe/evaa039] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/27/2020] [Indexed: 12/26/2022] Open
Abstract
The Zinc Fingers and Homeoboxes (Zhx) proteins, Zhx1, Zhx2, and Zhx3, comprise a small family of proteins containing two amino-terminal C2–H2 zinc fingers and four or five carboxy-terminal homeodomains. These multiple homeodomains make Zhx proteins unusual because the majority of homeodomain-containing proteins contain a single homeodomain. Studies in cultured cells and mice suggest that Zhx proteins can function as positive or negative transcriptional regulators. Zhx2 regulates numerous hepatic genes, and all three Zhx proteins have been implicated in different cancers. Because Zhx proteins contain multiple predicted homeodomains, are associated with interesting physiological traits, and seem to be only present in the vertebrate lineage, we investigated the evolutionary history of this small family by comparing Zhx homologs from a wide range of chordates. This analysis indicates that the zinc finger motifs and homeodomains are highly similar among all Zhx proteins and also identifies additional Zhx-specific conserved regions, including a 13 amino acid amino-terminal motif that is nearly identical among all gnathostome Zhx proteins. We found single Zhx proteins in the sea lamprey (Petromyzon marinus) and in the nonvertebrate chordates sea squirt (Ciona intestinalis) and lancelet (Branchiostoma floridae); these Zhx proteins are most similar to gnathostome Zhx3. Based on our analyses, we propose that a duplication of the primordial Zhx gene gave rise to Zhx3 and the precursor to Zhx1 and Zhx2. A subsequent tandem duplication of this precursor generated Zhx1 and Zhx2 found in gnathostomes.
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Affiliation(s)
- Alexandra N Nail
- Department of Microbiology, Immunology and Molecular Genetics, University of Kentucky
| | - Jeramiah J Smith
- Department of Biology, University of Kentucky.,Markey Cancer Center, University of Kentucky
| | - Martha L Peterson
- Department of Microbiology, Immunology and Molecular Genetics, University of Kentucky.,Markey Cancer Center, University of Kentucky
| | - Brett T Spear
- Department of Microbiology, Immunology and Molecular Genetics, University of Kentucky.,Markey Cancer Center, University of Kentucky
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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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Strawbridge RJ, Ward J, Bailey ME, Cullen B, Ferguson A, Graham N, Johnston KJ, Lyall LM, Pearsall R, Pell J, Shaw RJ, Tank R, Lyall DM, Smith DJ. Carotid Intima-Media Thickness: Novel Loci, Sex-Specific Effects, and Genetic Correlations With Obesity and Glucometabolic Traits in UK Biobank. Arterioscler Thromb Vasc Biol 2020; 40:446-461. [PMID: 31801372 PMCID: PMC6975521 DOI: 10.1161/atvbaha.119.313226] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Accepted: 11/21/2019] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Atherosclerosis is the underlying cause of most cardiovascular disease, but mechanisms underlying atherosclerosis are incompletely understood. Ultrasound measurement of the carotid intima-media thickness (cIMT) can be used to measure vascular remodeling, which is indicative of atherosclerosis. Genome-wide association studies have identified many genetic loci associated with cIMT, but heterogeneity of measurements collected by many small cohorts have been a major limitation in these efforts. Here, we conducted genome-wide association analyses in UKB (UK Biobank; N=22 179), the largest single study with consistent cIMT measurements. Approach and Results: We used BOLT-LMM software to run linear regression of cIMT in UKB, adjusted for age, sex, and genotyping chip. In white British participants, we identified 5 novel loci associated with cIMT and replicated most previously reported loci. In the first sex-specific analyses of cIMT, we identified a locus on chromosome 5, associated with cIMT in women only and highlight VCAN as a good candidate gene at this locus. Genetic correlations with body mass index and glucometabolic traits were also observed. Two loci influenced risk of ischemic heart disease. CONCLUSIONS These findings replicate previously reported associations, highlight novel biology, and provide new directions for investigating the sex differences observed in cardiovascular disease presentation and progression.
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Affiliation(s)
- Rona J. Strawbridge
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Joey Ward
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Mark E.S. Bailey
- School of Life Sciences, College of Medical, Veterinary and Life Sciences (M.E.S.B., K.J.A.J.), University of Glasgow, United Kingdom
| | - Breda Cullen
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Amy Ferguson
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Nicholas Graham
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Keira J.A. Johnston
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
- School of Life Sciences, College of Medical, Veterinary and Life Sciences (M.E.S.B., K.J.A.J.), University of Glasgow, United Kingdom
- Division of Psychiatry, College of Medicine, University of Edinburgh, United Kingdom (K.J.A.J.)
| | - Laura M. Lyall
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Robert Pearsall
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Jill Pell
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Richard J. Shaw
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
- Health Data Research United Kingdom (R.J.S.)
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden (R.J.S.)
| | - Rachana Tank
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Donald M. Lyall
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
| | - Daniel J. Smith
- From the Institute of Health and Wellbeing (R.J.S., J.W., B.C., A.F., N.G., K.J.A.J., L.M.L., R.P., J.P., R.J.S., R.T., D.M.L., D.J.S.), University of Glasgow, United Kingdom
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Genetic Variants Associated with Chronic Kidney Disease in a Spanish Population. Sci Rep 2020; 10:144. [PMID: 31924810 PMCID: PMC6954113 DOI: 10.1038/s41598-019-56695-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2019] [Accepted: 12/11/2019] [Indexed: 12/12/2022] Open
Abstract
Chronic kidney disease (CKD) patients have many affected physiological pathways. Variations in the genes regulating these pathways might affect the incidence and predisposition to this disease. A total of 722 Spanish adults, including 548 patients and 174 controls, were genotyped to better understand the effects of genetic risk loci on the susceptibility to CKD. We analyzed 38 single nucleotide polymorphisms (SNPs) in candidate genes associated with the inflammatory response (interleukins IL-1A, IL-4, IL-6, IL-10, TNF-α, ICAM-1), fibrogenesis (TGFB1), homocysteine synthesis (MTHFR), DNA repair (OGG1, MUTYH, XRCC1, ERCC2, ERCC4), renin-angiotensin-aldosterone system (CYP11B2, AGT), phase-II metabolism (GSTP1, GSTO1, GSTO2), antioxidant capacity (SOD1, SOD2, CAT, GPX1, GPX3, GPX4), and some other genes previously reported to be associated with CKD (GLO1, SLC7A9, SHROOM3, UMOD, VEGFA, MGP, KL). The results showed associations of GPX1, GSTO1, GSTO2, UMOD, and MGP with CKD. Additionally, associations with CKD related pathologies, such as hypertension (GPX4, CYP11B2, ERCC4), cardiovascular disease, diabetes and cancer predisposition (ERCC2) were also observed. Different genes showed association with biochemical parameters characteristic for CKD, such as creatinine (GPX1, GSTO1, GSTO2, KL, MGP), glomerular filtration rate (GPX1, GSTO1, KL, ICAM-1, MGP), hemoglobin (ERCC2, SHROOM3), resistance index erythropoietin (SOD2, VEGFA, MTHFR, KL), albumin (SOD1, GSTO2, ERCC2, SOD2), phosphorus (IL-4, ERCC4 SOD1, GPX4, GPX1), parathyroid hormone (IL-1A, IL-6, SHROOM3, UMOD, ICAM-1), C-reactive protein (SOD2, TGFB1,GSTP1, XRCC1), and ferritin (SOD2, GSTP1, SLC7A9, GPX4). To our knowledge, this is the second comprehensive study carried out in Spanish patients linking genetic polymorphisms and CKD.
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38
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Kuipers AL, Wojczynski MK, Barinas-Mitchell E, Minster RL, Wang L, Feitosa MF, Kulminski A, Thyagarajan B, Lee JH, Province MA, Newman AB, Zmuda JM. Genome-wide linkage analysis of carotid artery traits in exceptionally long-lived families. Atherosclerosis 2019; 291:19-26. [PMID: 31634740 DOI: 10.1016/j.atherosclerosis.2019.10.008] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 10/03/2019] [Accepted: 10/09/2019] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIMS Atherosclerosis develops with age and is partially controlled by genetics. Research to date has identified common variants with small effects on atherosclerosis related traits. We aimed to use family-based genome-wide linkage analysis to identify chromosomal regions potentially harboring rare variants with larger effects for atherosclerosis related traits. METHODS Participants included 2205 individuals from the Long Life Family Study (LLFS), which recruited families with exceptional longevity from Boston, New York, Pittsburgh, and Denmark. Participants underwent B-mode ultrasonography of the carotid arteries to measure intima-media thickness (IMT), inter-adventitial diameter (IAD), and plaque presence and severity. We conducted residual heritability and genome-wide linkage analyses adjusted for age, age2, sex, and field center using pedigree-based maximum-likelihood methods in SOLAR. RESULTS All carotid traits were significantly heritable with a range of 0.68 for IAD to 0.38 for IMT. We identified three chromosomal regions with linkage to IAD (3q13; max LOD 5.3), plaque severity (17q22-q23, max LOD 3.2), and plaque presence (17q24, max LOD 3.1). No common allelic variants within these linkage peaks were associated with the carotid artery traits. CONCLUSIONS We identified three chromosomal regions with evidence of linkage to carotid artery diameter and atherosclerotic plaque in exceptionally long-lived families. Since common allelic variants within our linkage peaks did not account for our findings, future follow-up resequencing of these regions in LLFS families should help advance our understanding of atherosclerosis, CVD, and healthy vascular aging.
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Affiliation(s)
- Allison L Kuipers
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
| | - Mary K Wojczynski
- Department of Genetics, Washington University in St Louis, St. Louis, MO, USA
| | | | - Ryan L Minster
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
| | - Lihua Wang
- Department of Genetics, Washington University in St Louis, St. Louis, MO, USA
| | - Mary F Feitosa
- Department of Genetics, Washington University in St Louis, St. Louis, MO, USA
| | | | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Joseph H Lee
- Sergievsky Center, Taub Institute, Departments of Epidemiology and Neurology, Columbia University, New York, NY, USA
| | - Michael A Province
- Department of Genetics, Washington University in St Louis, St. Louis, MO, USA
| | - Anne B Newman
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA
| | - Joseph M Zmuda
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA; Department of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA
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van der Laan SW, Siemelink MA, Haitjema S, Foroughi Asl H, Perisic L, Mokry M, van Setten J, Malik R, Dichgans M, Worrall BB, Samani NJ, Schunkert H, Erdmann J, Hedin U, Paulsson-Berne G, Björkegrenn JLM, de Borst GJ, Asselbergs FW, den Ruijter FW, de Bakker PIW, Pasterkamp G. Genetic Susceptibility Loci for Cardiovascular Disease and Their Impact on Atherosclerotic Plaques. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2019; 11:e002115. [PMID: 30354329 PMCID: PMC7664607 DOI: 10.1161/circgen.118.002115] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Supplemental Digital Content is available in the text. Background: Atherosclerosis is a chronic inflammatory disease in part caused by lipid uptake in the vascular wall, but the exact underlying mechanisms leading to acute myocardial infarction and stroke remain poorly understood. Large consortia identified genetic susceptibility loci that associate with large artery ischemic stroke and coronary artery disease. However, deciphering their underlying mechanisms are challenging. Histological studies identified destabilizing characteristics in human atherosclerotic plaques that associate with clinical outcome. To what extent established susceptibility loci for large artery ischemic stroke and coronary artery disease relate to plaque characteristics is thus far unknown but may point to novel mechanisms. Methods: We studied the associations of 61 established cardiovascular risk loci with 7 histological plaque characteristics assessed in 1443 carotid plaque specimens from the Athero-Express Biobank Study. We also assessed if the genotyped cardiovascular risk loci impact the tissue-specific gene expression in 2 independent biobanks, Biobank of Karolinska Endarterectomy and Stockholm Atherosclerosis Gene Expression. Results: A total of 21 established risk variants (out of 61) nominally associated to a plaque characteristic. One variant (rs12539895, risk allele A) at 7q22 associated to a reduction of intraplaque fat, P=5.09×10−6 after correction for multiple testing. We further characterized this 7q22 Locus and show tissue-specific effects of rs12539895 on HBP1 expression in plaques and COG5 expression in whole blood and provide data from public resources showing an association with decreased LDL (low-density lipoprotein) and increase HDL (high-density lipoprotein) in the blood. Conclusions: Our study supports the view that cardiovascular susceptibility loci may exert their effect by influencing the atherosclerotic plaque characteristics.
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Affiliation(s)
- Sander W van der Laan
- Laboratory of Experimental Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (S.W.v.d.L., M.A.S., S.H., H.M.d.R., G.P.)
| | - Marten A Siemelink
- Laboratory of Experimental Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (S.W.v.d.L., M.A.S., S.H., H.M.d.R., G.P.).,Department of Clinical Genetics, University Medical Center Utrecht, University Utrecht, The Netherlands (M.A.S.)
| | - Saskia Haitjema
- Laboratory of Experimental Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (S.W.v.d.L., M.A.S., S.H., H.M.d.R., G.P.)
| | - Hassan Foroughi Asl
- Cardiovascular Genomics Group, Division of Vascular Biology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden (H.F.A.)
| | - Ljubica Perisic
- Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden (L.P., U.H.)
| | - Michal Mokry
- Department of Pediatrics, Wilhelmina Children's Hospital, University Medical Center Utrecht, University Utrecht, The Netherlands (M.M.).,Regenerative Medicine Center Utrecht, University Medical Center Utrecht, University Utrecht, The Netherlands (M.M.)
| | - Jessica van Setten
- Department of Cardiology, Division of Heart & Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (F.W.A., J.v.S.)
| | - Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany (R.M., M.D.)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-University (LMU) Munich, Munich, Germany (R.M., M.D.).,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany (M.D.)
| | - Bradford B Worrall
- Departments of Neurology and Public Health Sciences, University of Virginia, Charlottesville (B.B.W.)
| | | | - Nilesh J Samani
- Department of Cardiovascular Sciences, University of Leicester (N.J.S.).,NIHR Leicester Biomedical Research Unit Centre, BHF Cardiovascular Research Centre, Glenfield Hospital, Leicester, United Kingdom (N.J.S.)
| | - Heribert Schunkert
- Deutsches Herzzentrum München, Klinik an der TU München, Munich Heart Alliance (DZHK), Germany (H.S., J.E.)
| | - Jeanette Erdmann
- Deutsches Herzzentrum München, Klinik an der TU München, Munich Heart Alliance (DZHK), Germany (H.S., J.E.)
| | - Ulf Hedin
- Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden (L.P., U.H.)
| | - Gabrielle Paulsson-Berne
- Unit of Cardiovascular Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden (G.P.-B.)
| | - Johan L M Björkegrenn
- CMM, Karolinska Institutet, Stockholm, Sweden. Department of Genetics & Genomic Sciences, Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York (J.L.M.B.).,Integrated Cardio Metabolic Centre, Department of Medicine, Karolinska Institutet, Karolinska Universitetssjukhuset, Huddinge, Sweden (J.L.M.B.).,Clinical Gene Networks AB, Stockholm,Sweden (J.L.M.B.)
| | - Gert J de Borst
- Division of Surgical Specialties, Department of Surgery, University Medical Center Utrecht, University Utrecht, The Netherlands (G.J.d.B.)
| | - Folkert W Asselbergs
- Department of Cardiology, Division of Heart & Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (F.W.A., J.v.S.).,Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, University Utrecht, The Netherlands (P.I.W.d.B.).,Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, The Netherlands (P.I.W.d.B.).,Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, University Utrecht, The Netherlands (G.P.).,Durrer Center for Cardiogenetic Research, Netherlands Heart Institute, Utrecht (F.W.A.).,Institute of Cardiovascular Science, Faculty of Population Health Sciences, University College London, London, United Kingdom (F.W.A.).,Institute of Health Informatics, University College London, London, United Kingdom (F.W.A.)
| | - Folkert W den Ruijter
- Department of Cardiology, Division of Heart & Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (F.W.A., J.v.S.)
| | - Paul I W de Bakker
- Department of Medical Genetics, Center for Molecular Medicine, University Medical Center Utrecht, University Utrecht, The Netherlands (P.I.W.d.B.).,Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, University Utrecht, The Netherlands (P.I.W.d.B.)
| | - Gerard Pasterkamp
- Laboratory of Experimental Cardiology, Division Heart and Lungs, University Medical Center Utrecht, University Utrecht, The Netherlands (S.W.v.d.L., M.A.S., S.H., H.M.d.R., G.P.).,Department of Clinical Genetics, University Medical Center Utrecht, University Utrecht, The Netherlands (M.A.S.).,Laboratory of Clinical Chemistry and Hematology, Division Laboratories and Pharmacy, University Medical Center Utrecht, University Utrecht, The Netherlands (G.P.)
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Targeted sequencing of linkage region in Dominican families implicates PRIMA1 and the SPATA7-PTPN21-ZC3H14-EML5-TTC8 locus in carotid-intima media thickness and atherosclerotic events. Sci Rep 2019; 9:11621. [PMID: 31406157 PMCID: PMC6691113 DOI: 10.1038/s41598-019-48186-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2018] [Accepted: 07/29/2019] [Indexed: 11/22/2022] Open
Abstract
Carotid intima-media thickness (cIMT) is a subclinical marker for atherosclerosis. Previously, we reported a quantitative trait locus (QTL) for total cIMT on chromosome 14q and identified PRiMA1, FOXN3 and CCDC88C as candidate genes using a common variants (CVs)-based approach. Herein, we further evaluated the genetic contribution of the QTL to cIMT by resequencing. We sequenced all exons within the QTL and genomic regions of PRiMA1, FOXN3 and CCDC88C in Dominican families with evidence for linkage to the QTL. Unrelated Dominicans from the Northern Manhattan Study (NOMAS) were used for validation. Single-variant-based and gene-based analyses were performed for CVs and rare variants (RVs). The strongest evidence for association with CVs was found in PRiMA1 (p = 8.2 × 10−5 in families, p = 0.01 in NOMAS at rs12587586), and in the five-gene cluster SPATA7-PTPN21-ZC3H14-EML5-TTC8 locus (p = 1.3 × 10−4 in families, p = 0.01 in NOMAS at rs2274736). No evidence for association with RVs was found in PRiMA1. The top marker from previous study in PRiMA1 (rs7152362) was associated with fewer atherosclerotic events (OR = 0.67; p = 0.02 in NOMAS) and smaller cIMT (β = −0.58, p = 2.8 × 10−4 in Family). Within the five-gene cluster, evidence for association was found for exonic RVs (p = 0.02 in families, p = 0.28 in NOMAS), which was enriched among RVs with higher functional potentials (p = 0.05 in NOMAS for RVs in the top functional tertile). In summary, targeted resequencing provided validation and novel insights into the genetic architecture of cIMT, suggesting stronger effects for RVs with higher functional potentials. Furthermore, our data support the clinical relevance of CVs associated with subclinical atherosclerosis.
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Wu Y, Zhang F, Li X, Hou W, Zhang S, Feng Y, Lu R, Ding Y, Sun L. Systematic analysis of lncRNA expression profiles and atherosclerosis-associated lncRNA-mRNA network revealing functional lncRNAs in carotid atherosclerotic rabbit models. Funct Integr Genomics 2019; 20:103-115. [PMID: 31392586 DOI: 10.1007/s10142-019-00705-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2018] [Revised: 07/22/2019] [Accepted: 07/24/2019] [Indexed: 02/07/2023]
Abstract
Atherosclerosis, a multifactorial and chronic immune inflammatory disorder, is the main cause of multiple cardiovascular diseases. Researchers recently reported that lncRNAs may exert important functions in the progression of atherosclerosis (AS). Some studies found that lncRNAs can act as ceRNAs to communicate with each other by the competition of common miRNA response elements. However, lncRNA-associated ceRNA network in terms of atherosclerosis is limited. In present study, we pioneered to construct and systematically analyze the lncRNA-mRNA network and reveal its potential roles in carotid atherosclerotic rabbit models. Atherosclerosis was induced in rabbits (n = 3) carotid arteries via a high-fat diet and balloon injury, while age-matched rabbits (n = 3) were treated with normal chow as controls. RNA-seq analysis was conducted on rabbits carotid arteries (n = 6) with or without plaque formation. Based on the ceRNA mechanism, a ternary interaction network including lncRNA, mRNA, and miRNA was generated and an AS-related lncRNA-mRNA network (ASLMN) was extracted. Furthermore, we analyzed the properties of ASLMN and discovered that six lncRNAs (MSTRG.10603.16, 5258.4, 12799.3, 5352.1, 12022.1, and 12250.4) were highly related to AS through topological analysis. GO and KEGG enrichment analysis indicated that lncRNA MSTRG.5258.4 may downregulate inducible co-stimulator to perform a downregulated role in AS through T cell receptor signaling pathway and downregulate THBS1 to conduct a upregulated function in AS through ECM-receptor interaction pathway. Finally, our results elucidated the important function of lncRNAs in the origination and progression of AS. We provided an ASLMN of atherosclerosis development in carotid arteries of rabbits and probable targets which may lay the foundation for future research of clinical applications.
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Affiliation(s)
- Yingnan Wu
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Feng Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Xiaoying Li
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Wenying Hou
- Department of Ultrasound, Xuanwu Hospital Capital Medical University, Beijing, China
| | - Shuang Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yanan Feng
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Rui Lu
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yu Ding
- Department of Bioinformatics, Harbin Medical University, Harbin, China
| | - Litao Sun
- Department of Ultrasound, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
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Malik R, Dichgans M. Challenges and opportunities in stroke genetics. Cardiovasc Res 2019; 114:1226-1240. [PMID: 29554300 DOI: 10.1093/cvr/cvy068] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2017] [Accepted: 03/14/2018] [Indexed: 12/13/2022] Open
Abstract
Stroke, ischaemic stroke and subtypes of ischaemic stroke display substantial heritability. When compared with related vascular conditions, the number of established risk loci reaching genome-wide significance for association with stroke is still in the lower range, particularly for aetiological stroke subtypes such as large artery atherosclerotic stroke or small vessel stroke. Nevertheless, for individual loci substantial progress has been made in determining the specific mechanisms mediating stroke risk. In this review, we present a roadmap for functional follow-up of common risk variants associated with stroke. First, we discuss in silico strategies for characterizing signals in non-coding regions and highlight databases providing information on quantitative trait loci for mRNA and protein expression, as well as methylation, focussing on those with presumed relevance for stroke. Next, we discuss experimental strategies for following up on non-coding risk variants and regions such as massively parallel reporter assays, proteome-wide association studies, and chromatin conformation capture (3C) assays. These and other approaches are relevant for gaining insight into the specific variants and mechanisms mediating genetic stroke risk. Finally, we discuss how genetic findings could influence clinical practice by adding to diagnostic algorithms and eventually improve treatment options for stroke.
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Affiliation(s)
- Rainer Malik
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität (LMU) München, Feodor-Lynen-Straße 17, Munich, Germany
| | - Martin Dichgans
- Institute for Stroke and Dementia Research (ISD), University Hospital, Ludwig-Maximilians-Universität (LMU) München, Feodor-Lynen-Straße 17, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Straße 17, Munich, Germany
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Clinkenbeard EL, Turpin C, Jiang J, Peterson ML, Spear BT. Liver size and lipid content differences between BALB/c and BALB/cJ mice on a high-fat diet are due, in part, to Zhx2. Mamm Genome 2019; 30:226-236. [PMID: 31321500 DOI: 10.1007/s00335-019-09811-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 07/09/2019] [Indexed: 11/26/2022]
Abstract
BALB/cJ mice exhibit considerable phenotypic differences with other BALB/c substrains. Some of these traits involve the liver, including persistent postnatal expression of genes that are normally expressed only in the fetal liver and reduced expression of major urinary proteins. These traits are due to a mutation that dramatically reduces expression of the gene encoding the transcription factor Zinc fingers and homeoboxes 2 (Zhx2). BALB/cJ mice also exhibit reduced serum lipid levels and resistance to atherosclerosis compared to other mouse strains when placed on a high-fat diet. This trait is also due, at least in part, to the Zhx2 mutation. Microarray analysis identified many genes affecting lipid homeostasis, including Lipoprotein lipase, that are dysregulated in BALB/cJ liver. This led us to investigate whether hepatic lipid levels would be different between BALB/cJ and BALB/c mice when placed on a normal chow or a high-fat chow diet. On the high-fat chow, BALB/cJ mice had increased weight gain, increased liver:body weight ratio, elevated hepatic lipid accumulation and markers of liver damage when compared to BALB/c mice. These traits in BALB/cJ mice were only partially reversed by a hepatocyte-specific Zhx2 transgene. These data indicate that Zhx2 reduces liver lipid levels and is hepatoprotective in mice on a high-fat diet, but the partial rescue by the Zhx2 transgene suggests a contribution by both parenchymal and non-parenchymal cells. A model to account for the cardiovascular and liver phenotype in mice with reduced Zhx2 levels is provided.
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Affiliation(s)
- Erica L Clinkenbeard
- Department of Microbiology, Immunology & Molecular Genetics, University of Kentucky College of Medicine, Lexington, KY, 40536, USA
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA
| | - Courtney Turpin
- Department of Pharmacology & Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, 40536, USA
| | - Jieyun Jiang
- Department of Microbiology, Immunology & Molecular Genetics, University of Kentucky College of Medicine, Lexington, KY, 40536, USA
| | - Martha L Peterson
- Department of Microbiology, Immunology & Molecular Genetics, University of Kentucky College of Medicine, Lexington, KY, 40536, USA
- Markey Cancer Center, University of Kentucky College of Medicine, Lexington, KY, 40536, USA
| | - Brett T Spear
- Department of Microbiology, Immunology & Molecular Genetics, University of Kentucky College of Medicine, Lexington, KY, 40536, USA.
- Markey Cancer Center, University of Kentucky College of Medicine, Lexington, KY, 40536, USA.
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44
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Traylor M, Anderson CD, Rutten-Jacobs LCA, Falcone GJ, Comeau ME, Ay H, Sudlow CLM, Xu H, Mitchell BD, Cole JW, Rexrode K, Jimenez-Conde J, Schmidt R, Grewal RP, Sacco R, Ribases M, Rundek T, Rosand J, Dichgans M, Lee JM, Langefeld CD, Kittner SJ, Markus HS, Woo D, Malik R. Subtype Specificity of Genetic Loci Associated With Stroke in 16 664 Cases and 32 792 Controls. CIRCULATION-GENOMIC AND PRECISION MEDICINE 2019; 12:e002338. [PMID: 31306060 DOI: 10.1161/circgen.118.002338] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Genome-wide association studies have identified multiple loci associated with stroke. However, the specific stroke subtypes affected, and whether loci influence both ischemic and hemorrhagic stroke, remains unknown. For loci associated with stroke, we aimed to infer the combination of stroke subtypes likely to be affected, and in doing so assess the extent to which such loci have homogeneous effects across stroke subtypes. METHODS We performed Bayesian multinomial regression in 16 664 stroke cases and 32 792 controls of European ancestry to determine the most likely combination of stroke subtypes affected for loci with published genome-wide stroke associations, using model selection. Cases were subtyped under 2 commonly used stroke classification systems, TOAST (Trial of Org 10172 Acute Stroke Treatment) and causative classification of stroke. All individuals had genotypes imputed to the Haplotype Reference Consortium 1.1 Panel. RESULTS Sixteen loci were considered for analysis. Seven loci influenced both hemorrhagic and ischemic stroke, 3 of which influenced ischemic and hemorrhagic subtypes under both TOAST and causative classification of stroke. Under causative classification of stroke, 4 loci influenced both small vessel stroke and intracerebral hemorrhage. An EDNRA locus demonstrated opposing effects on ischemic and hemorrhagic stroke. No loci were predicted to influence all stroke subtypes in the same direction, and only one locus (12q24) was predicted to influence all ischemic stroke subtypes. CONCLUSIONS Heterogeneity in the influence of stroke-associated loci on stroke subtypes is pervasive, reflecting differing causal pathways. However, overlap exists between hemorrhagic and ischemic stroke, which may reflect shared pathobiology predisposing to small vessel arteriopathy. Stroke is a complex, heterogeneous disorder requiring tailored analytic strategies to decipher genetic mechanisms.
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Affiliation(s)
- Matthew Traylor
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge (M.T., H.S.M.).,William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London (M.T.)
| | - Christopher D Anderson
- Center for Genomic Medicine (C.D.A., J.R.), Massachusetts General Hospital, Boston.,J. Philip Kistler Stroke Research Center, Department of Neurology (C.D.A., J.R.), Massachusetts General Hospital, Boston.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology (C.D.A., J.R.), Massachusetts General Hospital, Boston.,Program in Medical and Population Genetics, Broad Inst, Cambridge, MA (C.D.A., J.R.)
| | - Loes C A Rutten-Jacobs
- German Center for Neurodegenerative Diseases, Population Health Sciences, Bonn, Germany (L.C.A.R.-J.)
| | - Guido J Falcone
- Division of Neurocritical Care and Emergency Neurology, Department of Neurology, Yale School of Medicine, New Haven, CT (G.J.F.)
| | - Mary E Comeau
- Department of Biostatistical Sciences, Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (M.E.C., C.D.L.)
| | - Hakan Ay
- Stroke Service (H.A.), Massachusetts General Hospital, Boston.,A.A. Martinos Center for Biomedical Imaging, Department of Radiology (H.A.), Massachusetts General Hospital, Boston
| | - Cathie L M Sudlow
- Center for Clinical Brain Sciences, University of Edinburgh (C.L.M.S.).,Usher Institute of Population Health Sciences and Informatics, Nine Bioquarter, Edinburgh, United Kingdom (C.L.M.S.)
| | - Huichun Xu
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine (H.X., B.D.M.,), University of Maryland School of Medicine
| | - Braxton D Mitchell
- Division of Endocrinology, Diabetes and Nutrition, Department of Medicine (H.X., B.D.M.,), University of Maryland School of Medicine.,Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center (B.D.M.)
| | - John W Cole
- Department of Neurology (S.J.K., J.W.C), University of Maryland School of Medicine.,Department of Neurology, Veterans Affairs Medical Center, Baltimore, MD (J.W.C., S.J.K)
| | - Kathryn Rexrode
- Channing Division of Network Medicine and Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA (K.R.)
| | - Jordi Jimenez-Conde
- Neurovascular Research Unit, Department of Neurology (J.J.-C.), Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Spain.,Program in Inflammation and Cardiovascular Disorders (J.J.-C.), Institut Municipal d'Investigacio´ Medica-Hospital del Mar, Universitat Autonoma de Barcelona, Spain
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Austria (R. Schmidt)
| | - Raji P Grewal
- Neuroscience Institute, Saint Francis Medical Center, School of Health and Medical Sciences, Seton Hall University, South Orange, NJ (R.P.G.)
| | - Ralph Sacco
- Department of Neurology, Miller School of Medicine, University of Miami, FL (R. Sacco, T.R.)
| | - Marta Ribases
- Psychiatric Genetics Unit, Group of Psychiatry, Mental Health and Addiction, Vall d'Hebron Research Institute (VHIR), Universitat Autònoma de Barcelona (M.R.).,Department of Psychiatry, Hospital Universitari Vall d'Hebron (M.R.).,Biomedical Network Research Center on Mental Health (CIBERSAM), Instituto de Salud Carlos III, Barcelona, Spain (M.R.)
| | - Tatjana Rundek
- Department of Neurology, Miller School of Medicine, University of Miami, FL (R. Sacco, T.R.)
| | - Jonathan Rosand
- Center for Genomic Medicine (C.D.A., J.R.), Massachusetts General Hospital, Boston.,J. Philip Kistler Stroke Research Center, Department of Neurology (C.D.A., J.R.), Massachusetts General Hospital, Boston.,Division of Neurocritical Care and Emergency Neurology, Department of Neurology (C.D.A., J.R.), Massachusetts General Hospital, Boston.,Program in Medical and Population Genetics, Broad Inst, Cambridge, MA (C.D.A., J.R.)
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität München (M.D., R.M.).,Munich Cluster for Systems Neurology (SyNergy), Germany (M.D.)
| | - Jin-Moo Lee
- Department of Neurology, Radiology, and Biomedical Engineering, Washington University School of Medicine, St Louis, MO (J.-M.L.)
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, School of Medicine, Wake Forest University, Winston-Salem, NC (M.E.C., C.D.L.)
| | - Steven J Kittner
- Department of Neurology (S.J.K., J.W.C), University of Maryland School of Medicine.,Department of Neurology, Veterans Affairs Medical Center, Baltimore, MD (J.W.C., S.J.K)
| | - Hugh S Markus
- Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge (M.T., H.S.M.)
| | - Daniel Woo
- Department of Neurology and Rehabilitation Medicine and Comprehensive Stroke Center, University of Cincinnati, OH (D.W.)
| | - Rainer Malik
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians-Universität München (M.D., R.M.)
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Yang C, Lu M, Chen W, He Z, Hou X, Feng M, Zhang H, Bo T, Zhou X, Yu Y, Zhang H, Zhao M, Wang L, Yu C, Gao L, Jiang W, Zhang Q, Zhao J. Thyrotropin aggravates atherosclerosis by promoting macrophage inflammation in plaques. J Exp Med 2019; 216:1182-1198. [PMID: 30940720 PMCID: PMC6504213 DOI: 10.1084/jem.20181473] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 01/07/2019] [Accepted: 02/11/2019] [Indexed: 12/31/2022] Open
Abstract
The increased cardiovascular risk in subclinical hypothyroidism has traditionally been attributed to the associated metabolic disorders. This paper, however, revealed that TSH can aggravate atherosclerosis by promoting macrophage inflammation in the plaque, which deepens our understanding of the significance of TSH elevation in subclinical hypothyroidism. Subclinical hypothyroidism is associated with cardiovascular diseases, yet the underlying mechanism remains largely unknown. Herein, in a common population (n = 1,103), TSH level was found to be independently correlated with both carotid plaque prevalence and intima-media thickness. Consistently, TSH receptor ablation in ApoE−/− mice attenuated atherogenesis, accompanied by decreased vascular inflammation and macrophage burden in atherosclerotic plaques. These results were also observed in myeloid-specific Tshr-deficient ApoE−/− mice, which indicated macrophages to be a critical target of the proinflammatory and atherogenic effects of TSH. In vitro experiments further revealed that TSH activated MAPKs (ERK1/2, p38α, and JNK) and IκB/p65 pathways in macrophages and increased inflammatory cytokine production and their recruitment of monocytes. Thus, the present study has elucidated the new mechanisms by which TSH, as an independent risk factor of atherosclerosis, aggravates vascular inflammation and contributes to atherogenesis.
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Affiliation(s)
- Chongbo Yang
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Ming Lu
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Wenbin Chen
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Zhao He
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China.,School of Medicine, Shandong University, Jinan, Shandong, China
| | - Xu Hou
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Mei Feng
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Hongjia Zhang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China
| | - Tao Bo
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Xiaoming Zhou
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Yong Yu
- Department of Sonography, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Haiqing Zhang
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Meng Zhao
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Laicheng Wang
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Chunxiao Yu
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
| | - Ling Gao
- Scientific Center, Shandong Provincial Hospital affiliated to Shandong University, Jinan, Shandong, China
| | - Wenjian Jiang
- Department of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing Institute of Heart, Lung and Blood Vessel Diseases, Beijing Laboratory for Cardiovascular Precision Medicine, Beijing, China
| | - Qunye Zhang
- Key Laboratory of Cardiovascular Remodeling and Function Research, Chinese Ministry of Education and Ministry of Public Health, the State and Shandong Province Joint Key Laboratory of Translational Cardiovascular Medicine, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Jiajun Zhao
- Department of Endocrinology, Shandong Provincial Hospital affiliated to Shandong University, Shandong Key Laboratory of Endocrinology and Lipid Metabolism, Institute of Endocrinology and Metabolism, Shandong Academy of Clinical Medicine, Jinan, Shandong, China
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46
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Wei CJ, Cui P, Li H, Lang WJ, Liu GY, Ma XF. Shared genes between Alzheimer's disease and ischemic stroke. CNS Neurosci Ther 2019; 25:855-864. [PMID: 30859738 PMCID: PMC6630005 DOI: 10.1111/cns.13117] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2018] [Revised: 02/12/2019] [Accepted: 02/13/2019] [Indexed: 02/06/2023] Open
Abstract
Aims Although converging evidence from experimental and epidemiological studies indicates Alzheimer's disease (AD) and ischemic stroke (IS) are related, the genetic basis underlying their links is less well characterized. Traditional SNP‐based genome‐wide association studies (GWAS) have failed to uncover shared susceptibility variants of AD and IS. Therefore, this study was designed to investigate whether pleiotropic genes existed between AD and IS to account for their phenotypic association, although this was not reported in previous studies. Methods Taking advantage of large‐scale GWAS summary statistics of AD (17,008 AD cases and 37,154 controls) and IS (10,307 IS cases and 19,326 controls), we performed gene‐based analysis implemented in VEGAS2 and Fisher's meta‐analysis of the set of overlapped genes of nominal significance in both diseases. Subsequently, gene expression analysis in AD‐ or IS‐associated expression datasets was conducted to explore the transcriptional alterations of pleiotropic genes identified. Results 16 AD‐IS pleiotropic genes surpassed the cutoff for Bonferroni‐corrected significance. Notably, MS4A4A and TREM2, two established AD‐susceptibility genes showed remarkable alterations in the spleens and brains afflicted by IS, respectively. Among the prioritized genes identified by virtue of literature‐based knowledge, most are immune‐relevant genes (EPHA1, MS4A4A, UBE2L3 and TREM2), implicating crucial roles of the immune system in the pathogenesis of AD and IS. Conclusions The observation that AD and IS had shared disease‐associated genes offered mechanistic insights into their common pathogenesis, predominantly involving the immune system. More importantly, our findings have important implications for future research directions, which are encouraged to verify the involvement of these candidates in AD and IS and interpret the exact molecular mechanisms of action.
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Affiliation(s)
- Chang-Juan Wei
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin, China
| | - Pan Cui
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin, China
| | - He Li
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin, China
| | - Wen-Jing Lang
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin, China
| | - Gui-You Liu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, China
| | - Xiao-Feng Ma
- Department of Neurology, Tianjin Medical University General Hospital, Tianjin, China.,Tianjin Neurological Institute, Key Laboratory of Post-neurotrauma Neuro-repair and Regeneration in Central Nervous System, Ministry of Education, Tianjin, China
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47
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Abstract
Vascular dementia (VaD) is a common disorder that encompasses heterogeneous entities, which creates challenges in order to reach a global consensus for diagnostic criteria. While the genetic basis for sporadic VaD remains poorly understood, the identification of causal genes in monogenic forms of VaD sheds light on the pathophysiological mechanisms of VaD. This special report describes progress in genetic research on monogenic and sporadic VaD, as well as on associated phenotypes, such as cerebral small vessel disease, stroke and Alzheimer's disease. Methodological issues (e.g., small-size studies) and strategies to overcome these problems (e.g., collaborative consortiums, endophenotypes) are discussed. Lastly, future perspectives in the field and how such work could benefit patients and clinicians are mentioned.
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Affiliation(s)
- Raquel Manso-Calderón
- Department of Neurology, University Hospital of Salamanca, Salamanca 37007, Spain
- Institute of Biomedical Research of Salamanca (IBSAL), University of Salamanca, Salamanca 37007, Spain
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48
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Chen W, Sinha B, Li Y, Benowitz L, Chen Q, Zhang Z, Patel NJ, Aziz-Sultan AM, Chiocca AE, Wang X. Monogenic, Polygenic, and MicroRNA Markers for Ischemic Stroke. Mol Neurobiol 2019; 56:1330-1343. [PMID: 29948938 PMCID: PMC7358039 DOI: 10.1007/s12035-018-1055-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 03/29/2018] [Indexed: 02/08/2023]
Abstract
Ischemic stroke (IS) is a leading disease with high mortality and disability, as well as with limited therapeutic window. Biomarkers for earlier diagnosis of IS have long been pursued. Family and twin studies confirm that genetic variations play an important role in IS pathogenesis. Besides DNA mutations found previously by genetic linkage analysis for monogenic IS (Mendelian inheritance), recent studies using genome-wide associated study (GWAS) and microRNA expression profiling have resulted in a large number of DNA and microRNA biomarkers in polygenic IS (sporadic IS), especially in different IS subtypes and imaging phenotypes. The present review summarizes genetic markers discovered by clinical studies and discusses their pathogenic molecular mechanisms involved in developmental or regenerative anomalies of blood vessel walls, neuronal apoptosis, excitotoxic death, inflammation, neurogenesis, and angiogenesis. The possible impact of environment on genetics is addressed as well. We also include a perspective on further studies and clinical application of these IS biomarkers.
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Affiliation(s)
- Wu Chen
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
- Department of Clinical Laboratory, Dongfeng Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, China.
| | - Bharati Sinha
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
- Department of Newborn Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Yi Li
- Department of Clinical Laboratory, Dongfeng Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, China
| | - Larry Benowitz
- Department of Neurosurgery, Boston Children's Hospital, F.M. Kirby Neurobiology Center for Life Science, Harvard Medical School, Boston, MA, 02115, USA
| | - Qinhua Chen
- Experimental Center, Dongfeng Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, China
| | - Zhenghong Zhang
- Department of Neurology, Dongfeng Hospital, Hubei University of Medicine, Shiyan, 442008, Hubei, China
| | - Nirav J Patel
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Ali M Aziz-Sultan
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Antonio E Chiocca
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA
| | - Xin Wang
- Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
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49
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Rask-Andersen M, Karlsson T, Ek WE, Johansson Å. Genome-wide association study of body fat distribution identifies adiposity loci and sex-specific genetic effects. Nat Commun 2019; 10:339. [PMID: 30664634 PMCID: PMC6341104 DOI: 10.1038/s41467-018-08000-4] [Citation(s) in RCA: 130] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 12/11/2018] [Indexed: 12/12/2022] Open
Abstract
Body mass and body fat composition are of clinical interest due to their links to cardiovascular- and metabolic diseases. Fat stored in the trunk has been suggested to be more pathogenic compared to fat stored in other compartments. In this study, we perform genome-wide association studies (GWAS) for the proportion of body fat distributed to the arms, legs and trunk estimated from segmental bio-electrical impedance analysis (sBIA) for 362,499 individuals from the UK Biobank. 98 independent associations with body fat distribution are identified, 29 that have not previously been associated with anthropometric traits. A high degree of sex-heterogeneity is observed and the effects of 37 associated variants are stronger in females compared to males. Our findings also implicate that body fat distribution in females involves mesenchyme derived tissues and cell types, female endocrine tissues as well as extracellular matrix maintenance and remodeling. Obesity and the distribution of fat within the body are risk factors for cardiometabolic diseases. Here, Rask-Andersen et al. perform GWAS for bio-electrical impedance measurements in UK Biobank participants and identify 29 novel independent loci for fat distribution and a high degree of sex-heterogeneity.
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Affiliation(s)
- Mathias Rask-Andersen
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 256, 751 05, Uppsala, Sweden.
| | - Torgny Karlsson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 256, 751 05, Uppsala, Sweden
| | - Weronica E Ek
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 256, 751 05, Uppsala, Sweden
| | - Åsa Johansson
- Department of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Box 256, 751 05, Uppsala, Sweden.
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50
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Cardoso CRL, Salles GC, Leite NC, Salles GF. Prognostic impact of carotid intima-media thickness and carotid plaques on the development of micro- and macrovascular complications in individuals with type 2 diabetes: the Rio de Janeiro type 2 diabetes cohort study. Cardiovasc Diabetol 2019; 18:2. [PMID: 30630491 PMCID: PMC6327523 DOI: 10.1186/s12933-019-0809-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/03/2019] [Indexed: 12/18/2022] Open
Abstract
Background The prognostic importance of carotid atherosclerosis in individuals with diabetes is unsettled. We aimed to evaluate the relationships between parameters of carotid atherosclerosis and the future occurrence of micro- and cardiovascular complications in individuals with type 2 diabetes. Methods Ultrasonographic parameters of carotid atherosclerosis, intima-media thickness (CIMT) and plaques, were measured at baseline in 478 participants who were followed-up for a median of 10.8 years. Multivariate Cox analysis was used to examine the associations between carotid parameters and the occurrence of microvascular (retinopathy, renal, and peripheral neuropathy) and cardiovascular complications (total cardiovascular events [CVEs] and cardiovascular mortality), and all-cause mortality. The improvement in risk stratification was assessed by using the C-statistic and the integrated discrimination improvement (IDI) index. Results During follow-up, 116 individuals had a CVE and 115 individuals died (56 from cardiovascular diseases); 131 newly-developed or worsened diabetic retinopathy, 156 achieved the renal composite outcome (94 newly developed microalbuminuria and 78 deteriorated renal function), and 83 newly-developed or worsened peripheral neuropathy. CIMT, either analysed as a continuous or as a categorical variable, and presence of plaques predicted CVEs occurrence and renal outcomes, but not mortality or other microvascular complications. Individuals with an increased CIMT and plaques had a 1.5- to 1.8-fold increased risk of CVEs and a 1.6-fold higher risk of renal outcome. CIMT and plaques modestly improved cardiovascular risk discrimination over classic risk factors, with IDIs ranging from 7.8 to 8.4%; but more markedly improved renal risk discrimination, with IDIs from 14.8 to 18.5%. Conclusions Carotid atherosclerosis parameters predicted cardiovascular and renal outcomes, and improved renal risk stratification. Ultrasonographic carotid imaging may be useful in type 2 diabetes management.
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Affiliation(s)
- Claudia R L Cardoso
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil
| | - Guilherme C Salles
- Civil Engineering Program, COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Nathalie C Leite
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil
| | - Gil F Salles
- Department of Internal Medicine, School of Medicine, University Hospital Clementino Fraga Filho, Universidade Federal do Rio de Janeiro, Rua Rodolpho Rocco, 255, Cidade Universitária, Rio de Janeiro, CEP 21941-913, Brazil.
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