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Chaiter Y, Fink DL, Machluf Y. Vascular medicine in the 21 st century: Embracing comprehensive vasculature evaluation and multidisciplinary treatment. World J Clin Cases 2024; 12:6032-6044. [DOI: 10.12998/wjcc.v12.i27.6032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 06/25/2024] [Accepted: 07/10/2024] [Indexed: 07/29/2024] Open
Abstract
The field of vascular medicine has undergone a profound transformation in the 21st century, transforming our approach to assessment and treatment. Atherosclerosis, a complex inflammatory disease that affects medium and large arteries, presents a major challenge for researchers and healthcare professionals. This condition, characterized by arterial plaque formation and narrowing, poses substantial challenges to vascular health at individual, national, and global scales. Its repercussions are far-reaching, with clinical outcomes including ischemic heart disease, ischemic stroke, and peripheral arterial disease—conditions with escalating global prevalence. Early detection of vascular changes caused by atherosclerosis is crucial in preventing these conditions, reducing morbidity, and averting mortality. This article underscored the imperative of adopting a holistic approach to grappling with the intricacies, trajectories, and ramifications of atherosclerosis. It stresses the need for a thorough evaluation of the vasculature and the implementation of a multidisciplinary treatment approach. By considering the entire vascular system, healthcare providers can explore avenues for prevention, early detection, and effective management of this condition, ultimately leading to improved patient outcomes. We discussed current practices and proposed new directions made possible by emerging diagnostic modalities and treatment strategies. Additionally, we considered healthcare expenditure, resource allocation, and the transformative potential of new innovative treatments and technologies.
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Affiliation(s)
- Yoram Chaiter
- The Israeli Center for Emerging Technologies in Hospitals and Hospital-Based Health Technology Assessment, Shamir (Assaf Harofeh) Medical Center, Zerifin 7030100, Israel
| | - Daniel Lyon Fink
- Department of Pediatric Cardiology Unit, HaEmek Medical Center, Afula 1834111, Israel
| | - Yossy Machluf
- Shamir Research Institute, University of Haifa, Kazerin 1290000, Israel
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Long P, Si J, Zhu Z, Jiang Y, Wang Y, Jiang Q, Li W, Xu X, You Y, Qu M, Wang H, Mo T, Liu K, Jiang J, Wang Q, Yu C, Guo Y, Millwood IY, Walters RG, He X, Yuan Y, Wang H, Zhang X, He M, Guo H, Chen Z, Li L, Lv J, Wang C, Wu T. Genome-wide DNA methylation profiling in blood reveals epigenetic signature of incident acute coronary syndrome. Nat Commun 2024; 15:7431. [PMID: 39198424 PMCID: PMC11358540 DOI: 10.1038/s41467-024-51751-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 08/14/2024] [Indexed: 09/01/2024] Open
Abstract
DNA methylation (DNAm) has been implicated in acute coronary syndrome (ACS), but the causality remains unclear in cross-sectional studies. Here, we conduct a prospective epigenome-wide association study of incident ACS in two Chinese cohorts (discovery: 751 nested case-control pairs; replication: 476 nested case-control pairs). We identified and validated 26 differentially methylated positions (DMPs, false discovery rate [FDR] <0.05), including three mapped to known cardiovascular disease genes (PRKCZ, PRDM16, EHBP1L1) and four with causal evidence from Mendelian randomization (PRKCZ, TRIM27, EMC2, EHBP1L1). Two hypomethylated DMPs were negatively correlated with the expression in blood of their mapped genes (PIGG and EHBP1L1), which were further found to overexpress in leukocytes and/or atheroma plaques. Finally, our DMPs could substantially improve the prediction of ACS over traditional risk factors and polygenic scores. These findings demonstrate the importance of DNAm in the pathogenesis of ACS and highlight DNAm as potential predictive biomarkers and treatment targets.
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Affiliation(s)
- Pinpin Long
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiahui Si
- National Institute of Health Data Science at Peking University, Peking University, Beijing, China
| | - Ziwei Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yi Jiang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yufei Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qin Jiang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wending Li
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xuedan Xu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yutong You
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Minghan Qu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huihui Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tingting Mo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Kang Liu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jing Jiang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Qiuhong Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Yu Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Iona Y Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Robin G Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Ximiao He
- Department of Physiology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yu Yuan
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Hao Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Meian He
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huan Guo
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
- Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China.
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
| | - Chaolong Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
| | - Tangchun Wu
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
- Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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Skovgaard AC, Mohammadnejad A, Beck HC, Tan Q, Soerensen M. Multi-omics association study of DNA methylation and gene expression levels and diagnoses of cardiovascular diseases in Danish Twins. Clin Epigenetics 2024; 16:117. [PMID: 39187864 PMCID: PMC11348607 DOI: 10.1186/s13148-024-01727-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 08/11/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Cardiovascular diseases (CVDs) are major causes of mortality and morbidity worldwide; yet the understanding of their molecular basis is incomplete. Multi-omics studies have significant potential to uncover these mechanisms, but such studies are challenged by genetic and environmental confounding-a problem that can be effectively reduced by investigating intrapair differences in twins. Here, we linked data on all diagnoses of the circulatory system from the nationwide Danish Patient Registry (spanning 1977-2022) to a study population of 835 twins holding genome-wide DNA methylation and gene expression data. CVD diagnoses were divided into prevalent or incident cases (i.e., occurring before or after blood sample collection (2007-2011)). The diagnoses were classified into four groups: cerebrovascular diseases, coronary artery disease (CAD), arterial and other cardiovascular diseases (AOCDs), and diseases of the veins and lymphatic system. Statistical analyses were performed by linear (prevalent cases) or cox (incident cases) regression analyses at both the individual-level and twin pair-level. Significant genes (p < 0.05) in both types of biological data and at both levels were inspected by bioinformatic analyses, including gene set enrichment analysis and interaction network analysis. RESULTS In general, more genes were found for prevalent than for incident cases, and bioinformatic analyses primarily found pathways of the immune system, signal transduction and diseases for prevalent cases, and pathways of cell-cell communication, metabolisms of proteins and RNA, gene expression, and chromatin organization groups for incident cases. This potentially reflects biology related to response to CVD (prevalent cases) and mechanisms related to regulation and development of disease (incident cases). Of specific genes, Myosin 1E was found to be central for CAD, and DEAD-Box Helicase 5 for AOCD. These genes were observed in both the prevalent and the incident analyses, potentially reflecting that their DNA methylation and gene transcription levels change both because of disease (prevalent cases) and prior disease (incident cases). CONCLUSION We present novel biomarkers for CVD by performing multi-omics analysis in twins, hereby lowering the confounding due to shared genetics and early life environment-a study design that is surprisingly rare in the field of CVD, and where additional studies are highly needed.
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Affiliation(s)
- Asmus Cosmos Skovgaard
- The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark.
| | - Afsaneh Mohammadnejad
- The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark
| | - Hans Christian Beck
- Center for Individualized Medicine in Arterial Diseases, Department of Biochemistry, Odense University Hospital, J.B. Winsloews Vej 4, 5000, Odense C, Denmark
| | - Qihua Tan
- The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark
| | - Mette Soerensen
- The Danish Twin Registry and the Research Unit for Epidemiology, Biostatistics and Biodemography, Department of Public Health, University of Southern Denmark, Campusvej 55, 5230, Odense M, Denmark
- Department of Clinical Genetics, Odense University Hospital, J.B. Winsloews Vej 4, 5000, Odense C, Denmark
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Gao H, Li J, Ma Q, Zhang Q, Li M, Hu X. Causal Associations of DNA Methylation and Cardiovascular Disease: A Two-Sample Mendelian Randomization Study. Glob Heart 2024; 19:48. [PMID: 38765775 PMCID: PMC11100526 DOI: 10.5334/gh.1324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 04/16/2024] [Indexed: 05/22/2024] Open
Abstract
Background There is growing evidence that concentrations of DNA methylation are associated with cardiovascular disease; however, it is unclear whether this association reflects a causal relationship. Methods We utilized a two-sample Mendelian randomization (MR) approach to investigate whether DNA methylation can affect the risk of developing cardiovascular disease in human life. We primarily performed the inverse variance weighted (IVW) method to analyze the causal effect of DNA methylation on multiple cardiovascular diseases. Additionally, to ensure the robustness of our findings, we conducted several sensitivity analyses using alternative methodologies. These analysis methods included maximum likelihood, MR-Egger regression, weighted median method, and weighted model methods. Results Inverse variance weighted estimates suggested that an SD increase in DNA methylation Hannum age acceleration exposure increased the risk of cardiac arrhythmias (OR = 1.03, 95% CI 1.00-1.05, p = 0.0290) and atrial fibrillation (OR = 1.03, 95% CI 1.00-1.05, p = 0.0022). We also found that an SD increase in DNA methylation PhenoAge acceleration exposure increased the risk of heart failure (OR = 1.01, 95% CI 1.00-1.03, p = 0.0362). Exposure to DNA methylation-estimated granulocyte proportions was found to increase the risk of hypertension (OR = 1.00, 95% CI 1.00-1.0001, p = 0.0291). Exposure to DNA methylation-estimated plasminogen activator inhibitor-1 levels was found to increase the risk of heart failure (OR = 1.00, 95% CI 1.00-1.00, p = 0.0215). Conclusion This study reveals a causal relationship between DNA methylation and CVD. Exposed to high levels of DNA methylation Hannum age acceleration inhabitants with an increased risk of cardiac arrhythmias and atrial fibrillation. DNA methylation PhenoAge acceleration levels exposure levels were positively associated with the increased risk of developing heart failure. This has important implications for the prevention of cardiovascular diseases.
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Affiliation(s)
- Hui Gao
- Department of Cardiovascular Medicine, The First People’s Hospital of Shangqiu, Shangqiu 476000, China
- Graduate School, Dalian Medical University, Dalian, 116044, China
| | - Jiahai Li
- Department of Cardiovascular Medicine, The First People’s Hospital of Qinzhou, Qinzhou 535000, China
| | - Qiaoli Ma
- Department of Cardiovascular Medicine, Central Hospital of Zibo, Zibo 255000, China
| | - Qinghui Zhang
- Department of Hypertension, Henan Provincial People’s Hospital, Zhengzhou 450000, China
| | - Man Li
- Department of Cardiovascular Medicine, The First People’s Hospital of Shangqiu, Shangqiu 476000, China
| | - Xiaoliang Hu
- Department of Cardiovascular Medicine, The First People’s Hospital of Shangqiu, Shangqiu 476000, China
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Long Y, Mao C, Liu S, Tao Y, Xiao D. Epigenetic modifications in obesity-associated diseases. MedComm (Beijing) 2024; 5:e496. [PMID: 38405061 PMCID: PMC10893559 DOI: 10.1002/mco2.496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Revised: 01/29/2024] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
The global prevalence of obesity has reached epidemic levels, significantly elevating the susceptibility to various cardiometabolic conditions and certain types of cancer. In addition to causing metabolic abnormalities such as insulin resistance (IR), elevated blood glucose and lipids, and ectopic fat deposition, obesity can also damage pancreatic islet cells, endothelial cells, and cardiomyocytes through chronic inflammation, and even promote the development of a microenvironment conducive to cancer initiation. Improper dietary habits and lack of physical exercise are important behavioral factors that increase the risk of obesity, which can affect gene expression through epigenetic modifications. Epigenetic alterations can occur in early stage of obesity, some of which are reversible, while others persist over time and lead to obesity-related complications. Therefore, the dynamic adjustability of epigenetic modifications can be leveraged to reverse the development of obesity-associated diseases through behavioral interventions, drugs, and bariatric surgery. This review provides a comprehensive summary of the impact of epigenetic regulation on the initiation and development of obesity-associated cancers, type 2 diabetes, and cardiovascular diseases, establishing a theoretical basis for prevention, diagnosis, and treatment of these conditions.
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Affiliation(s)
- Yiqian Long
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
| | - Chao Mao
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
| | - Shuang Liu
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric DisordersXiangya HospitalCentral South UniversityChangshaHunanChina
| | - Yongguang Tao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
- NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute and School of Basic MedicineCentral South UniversityChangshaChina
- Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Department of Thoracic SurgerySecond Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Desheng Xiao
- Department of Pathology, Xiangya HospitalCentral South UniversityChangshaHunanChina
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Department of Pathology, School of Basic MedicineCentral South UniversityChangshaHunanChina
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Jiang EX, Domingo-Relloso A, Abuawad A, Haack K, Tellez-Plaza M, Fallin MD, Umans JG, Best LG, Zhang Y, Kupsco A, Belsky DW, Cole SA, Navas-Acien A. Arsenic Exposure and Epigenetic Aging: The Association with Cardiovascular Disease and All-Cause Mortality in the Strong Heart Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:127016. [PMID: 38133959 PMCID: PMC10743589 DOI: 10.1289/ehp11981] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/29/2023] [Accepted: 11/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND Inorganic arsenic (As) may increase the risk of cardiovascular disease (CVD) and all-cause mortality through accelerated aging, which can be estimated using epigenetic-based measures. OBJECTIVES We evaluated three DNA methylation-based aging measures (PhenoAge, GrimAge, DunedinPACE) (epigenetic aging measures) as potential mediators of the previously reported association of As exposure with CVD incidence, CVD mortality, and all-cause mortality in the Strong Heart Study (SHS), an epidemiological cohort of American Indian adults. METHODS Blood DNA methylation and urinary As levels were measured in 2,323 SHS participants (41.5% men, mean age of 55 years old). PhenoAge and GrimAge values were calculated using a residual-based method. We tested the association of urinary As with epigenetic aging measures using linear regression, the association of epigenetic aging measures with the three health outcomes using additive hazards models, and the mediation of As-related CVD incidence, CVD mortality, and all-cause mortality by epigenetic aging measures using the product of coefficients method. RESULTS SHS participants with higher vs. lower urinary As levels had similar PhenoAge age, older GrimAge age, and faster DunedinPACE. An interquartile range increase in urinary As was associated with higher of PhenoAge age acceleration [mean difference ( 95 % confidence interval ) = 0.48 (0.17, 0.80) years], GrimAge age acceleration [0.80 (0.60, 1.00) years], and DunedinPACE [0.011 (0.005, 0.018)], after adjusting for age, sex, center location, genetic components, smoking status, and body mass index. Of the 347 incident CVD events per 100,000 person-years associated with a doubling in As exposure, 21.3% (9.1, 57.1) and 22.6% (9.5, 56.9), were attributable to differences in GrimAge and DunedinPACE, respectively. DISCUSSION Arsenic exposure was associated with older GrimAge and faster DunedinPACE measures of biological age. Furthermore, accelerated biological aging measured from DNA methylation accounted for a relevant fraction of As-associated risk for CVD, CVD mortality, and all-cause mortality in the SHS, supporting the role of As in accelerated aging. Research of the biological underpinnings can contribute to a better understanding of the role of aging in arsenic-related disease. https://doi.org/10.1289/EHP11981.
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Affiliation(s)
- Enoch X. Jiang
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Arce Domingo-Relloso
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
- Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Ahlam Abuawad
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Maria Tellez-Plaza
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Instituto de Salud Carlos III, Madrid, Spain
| | - M. Danielle Fallin
- Department of Mental Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Jason G. Umans
- MedStar Health Research Institute, Washington, DC, USA
- Center for Clinical and Translational Sciences, Georgetown/Howard Universities, Washington, DC, USA
| | - Lyle G. Best
- Missouri Breaks Industries Research, Eagle Butte, South Dakota, USA
| | - Ying Zhang
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, USA
| | - Allison Kupsco
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - Daniel W. Belsky
- Department of Epidemiology, Columbia University, New York, USA
- Butler Columbia Aging Center, Columbia University, New York, USA
| | - Shelley A. Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, Texas, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
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Mietus-Snyder M, Perak AM, Cheng S, Hayman LL, Haynes N, Meikle PJ, Shah SH, Suglia SF. Next Generation, Modifiable Cardiometabolic Biomarkers: Mitochondrial Adaptation and Metabolic Resilience: A Scientific Statement From the American Heart Association. Circulation 2023; 148:1827-1845. [PMID: 37902008 DOI: 10.1161/cir.0000000000001185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/31/2023]
Abstract
Cardiometabolic risk is increasing in prevalence across the life span with disproportionate ramifications for youth at socioeconomic disadvantage. Established risk factors and associated disease progression are harder to reverse as they become entrenched over time; if current trends are unchecked, the consequences for individual and societal wellness will become untenable. Interrelated root causes of ectopic adiposity and insulin resistance are understood but identified late in the trajectory of systemic metabolic dysregulation when traditional cardiometabolic risk factors cross current diagnostic thresholds of disease. Thus, children at cardiometabolic risk are often exposed to suboptimal metabolism over years before they present with clinical symptoms, at which point life-long reliance on pharmacotherapy may only mitigate but not reverse the risk. Leading-edge indicators are needed to detect the earliest departure from healthy metabolism, so that targeted, primordial, and primary prevention of cardiometabolic risk is possible. Better understanding of biomarkers that reflect the earliest transitions to dysmetabolism, beginning in utero, ideally biomarkers that are also mechanistic/causal and modifiable, is critically needed. This scientific statement explores emerging biomarkers of cardiometabolic risk across rapidly evolving and interrelated "omic" fields of research (the epigenome, microbiome, metabolome, lipidome, and inflammasome). Connections in each domain to mitochondrial function are identified that may mediate the favorable responses of each of the omic biomarkers featured to a heart-healthy lifestyle, notably to nutritional interventions. Fuller implementation of evidence-based nutrition must address environmental and socioeconomic disparities that can either facilitate or impede response to therapy.
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Yang B, Ma K, Xiang R, Yang G, Luo Y, Wu F, Mao M. Uric acid and evaluate the coronary vascular stenosis gensini score correlation research and in gender differences. BMC Cardiovasc Disord 2023; 23:546. [PMID: 37940848 PMCID: PMC10634079 DOI: 10.1186/s12872-023-03581-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/26/2023] [Indexed: 11/10/2023] Open
Abstract
BACKGROUND AND AIMS Recent studies have shown that the negative effect of uric acid (UA) on coronary arteries determines the severity of atherosclerotic disease. This study aims to explore the relationship between serum UA level and Gensini score, which reflects the severity of coronary artery disease. METHODS A total of 860 patients with suspected coronary heart disease who were admitted to hospital due to angina pectoris or myocardial ischemia related symptoms and received coronary angiography were selected. Based on the findings of the angiography, they were categorized into two groups: the coronary heart disease (CHD) group (n = 625) and the control group (n = 235). The uric acid levels and other clinical data were compared between these groups. Additionally, the prevalence of coronary heart disease and Gensini score were compared between the groups, considering gender-specific quartiles of uric acid levels. The clinical baseline data were analyzed using appropriate statistical methods, and multivariate logistic regression analysis was conducted to identify independent risk factors for coronary heart disease. RESULTS Of 860 patients (mean age, 63.97 ± 11.87 years), 528 were men (mean age, 62.06 ± 11.5 years) and 332 were women (mean age, 66.99 ± 10.11 years). The proportion of smoking, diabetes, hypertension, and hyperlipidemia in the coronary heart disease group was higher than that in the control group (P < 0.05). HbA1C, Gensini score, BMI, TG and hsCRP in the coronary heart disease group were higher than those in the control group (P < 0.05), and HDL-C was lower than that in the control group (P < 0.05). There were no significant differences in age, heart rate, Cr, TC and LDL-C between the two groups (P > 0.05).Multivariate logistic regression analysis showed that age, hypertension, hsCRP and SUA levels increased the risk of coronary heart disease, and the difference was statistically significant(OR = 1.034,95%CI 1.016-1.052, P = 0.001; OR = 1.469,95%CI 1.007-2.142, P = 0.046;OR = 1.064,95%CI 1.026-1.105, P = 0.001; OR = 1.011,95%CI 1.008-1.014, P < 0.001). CONCLUSION Serum uric acid is positively correlated with Gensini score in patients with coronary heart disease, which is an independent factor for evaluating the degree of coronary artery stenosis and has a predictive effect.
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Affiliation(s)
- Bao Yang
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Kanghua Ma
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Rui Xiang
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Guoli Yang
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Yue Luo
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Fan Wu
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China
| | - Min Mao
- Department of Cardiology, The First Affiliated Hospital of Chongqing Medical University, Yuzhong, Chongqing, 400010, China.
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9
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Sakkers TR, Mokry M, Civelek M, Erdmann J, Pasterkamp G, Diez Benavente E, den Ruijter HM. Sex differences in the genetic and molecular mechanisms of coronary artery disease. Atherosclerosis 2023; 384:117279. [PMID: 37805337 DOI: 10.1016/j.atherosclerosis.2023.117279] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 05/09/2023] [Accepted: 09/01/2023] [Indexed: 10/09/2023]
Abstract
Sex differences in coronary artery disease (CAD) presentation, risk factors and prognosis have been widely studied. Similarly, studies on atherosclerosis have shown prominent sex differences in plaque biology. Our understanding of the underlying genetic and molecular mechanisms that drive these differences remains fragmented and largely understudied. Through reviewing genetic and epigenetic studies, we identified more than 40 sex-differential candidate genes (13 within known CAD loci) that may explain, at least in part, sex differences in vascular remodeling, lipid metabolism and endothelial dysfunction. Studies with transcriptomic and single-cell RNA sequencing data from atherosclerotic plaques highlight potential sex differences in smooth muscle cell and endothelial cell biology. Especially, phenotypic switching of smooth muscle cells seems to play a crucial role in female atherosclerosis. This matches the known sex differences in atherosclerotic phenotypes, with men being more prone to lipid-rich plaques, while women are more likely to develop fibrous plaques with endothelial dysfunction. To unravel the complex mechanisms that drive sex differences in CAD, increased statistical power and adjustments to study designs and analysis strategies are required. This entails increasing inclusion rates of women, performing well-defined sex-stratified analyses and the integration of multi-omics data.
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Affiliation(s)
- Tim R Sakkers
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Michal Mokry
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands; Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Mete Civelek
- Center for Public Health Genomics, University of Virginia, 1335 Lee St, Charlottesville, VA, 22908, USA; Department of Biomedical Engineering, University of Virginia, 351 McCormick Road, Charlottesville, VA, 22904, USA
| | - Jeanette Erdmann
- Institute for Cardiogenetics, University of Lübeck, Ratzeburger Allee 160, 23562, Lübeck, Germany
| | - Gerard Pasterkamp
- Central Diagnostic Laboratory, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Ernest Diez Benavente
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands
| | - Hester M den Ruijter
- Laboratory of Experimental Cardiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3508, GA, Utrecht, the Netherlands.
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10
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Di Pietrantonio N, Cappellacci I, Mandatori D, Baldassarre MPA, Pandolfi A, Pipino C. Role of Epigenetics and Metabolomics in Predicting Endothelial Dysfunction in Type 2 Diabetes. Adv Biol (Weinh) 2023; 7:e2300172. [PMID: 37616517 DOI: 10.1002/adbi.202300172] [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: 05/04/2023] [Revised: 06/15/2023] [Indexed: 08/26/2023]
Abstract
Type 2 diabetes (T2D) is a worldwide health problem and cardiovascular disease (CVD) is a leading cause of morbidity and mortality in T2D patients, making the prevention of CVD onset a major priority. It is therefore crucial to optimize diagnosis and treatment to reduce this burden. Endothelial dysfunction is one of the most important prognostic factors for CVD progression, thus novel approaches to identify the early phase of endothelial dysfunction may lead to specific preventive measures to reduce the occurrence of CVD. Nowadays, multiomics approaches have provided unprecedented opportunities to stratify T2D patients into endotypes, improve therapeutic treatment and outcome and amend the survival prediction. Among omics strategies, epigenetics and metabolomics are gaining increasing interest. Recently, a dynamic correlation between metabolic pathways and gene expression through chromatin remodeling, such as DNA methylation, has emerged, indicating new perspectives on the regulatory networks impacting cellular processes. Thus, a better understanding of epigenetic-metabolite relationships can provide insight into the physiological processes altered early in the endothelium that ultimately head to disease development. Here, recent studies on epigenetics and metabolomics related to CVD prevention potentially useful to identify disease biomarkers, as well as new therapies hopefully targeting the early phase of endothelial dysfunction are highlighted.
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Affiliation(s)
- Nadia Di Pietrantonio
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Ilaria Cappellacci
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Domitilla Mandatori
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Maria Pompea Antonia Baldassarre
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Department of Medicine and Aging Sciences, "G. d'Annunzio" University Chieti-Pescara, Chieti, 66100, Italy
| | - Assunta Pandolfi
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
| | - Caterina Pipino
- Department of Medical, Oral and Biotechnological Sciences, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
- Center for Advanced Studies and Technology-CAST, "G. d'Annunzio" University of Chieti-Pescara, Chieti, 66100, Italy
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11
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Broyles D, Philibert R. Precision epigenetics provides a scalable pathway for improving coronary heart disease care globally. Epigenomics 2023; 15:805-818. [PMID: 37702023 DOI: 10.2217/epi-2023-0233] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/14/2023] Open
Abstract
Coronary heart disease (CHD) is the world's leading cause of death. Up to 90% of all CHD deaths are preventable, but effective prevention of this mortality requires more scalable, precise methods for assessing CHD status and monitoring treatment response. Unfortunately, current diagnostic methods have barriers to implementation, particularly in rural areas and lower-income countries. This gap may be bridged by highly scalable advances in DNA methylation testing methods and artificial intelligence. Herein, we review prior studies of CHD related to methylation alone and in combination with other biovariables. We compare these new methods with established methods for diagnosing CHD. Finally, we outline pathways through which methylation-based testing methods may allow the democratization of improved methods for assessing CHD globally.
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Affiliation(s)
- Damon Broyles
- Mercy Technology Services, St. Louis, MO 63127, USA
- Mercy Precision Medicine, Chesterfield, MO 63017, USA
| | - Robert Philibert
- Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA
- Cardio Diagnostics Inc, Chicago, IL 60642, USA
- Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA
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12
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Colicino E, Fiorito G. DNA methylation-based biomarkers for cardiometabolic-related traits and their importance for risk stratification. CURRENT OPINION IN EPIDEMIOLOGY AND PUBLIC HEALTH 2023; 2:25-31. [PMID: 38601732 PMCID: PMC11003758 DOI: 10.1097/pxh.0000000000000020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Recent findings The prevalence of cardiometabolic syndrome in adults is increasing worldwide, highlighting the importance of biomarkers for individuals' classification based on their health status. Although cardiometabolic risk scores and diagnostic criteria have been developed aggregating adverse health effects of individual conditions on the overall syndrome, none of them has gained unanimous acceptance. Therefore, novel molecular biomarkers have been developed to better understand the risk, onset and progression of both individual conditions and the overall cardiometabolic syndrome. Summary Consistent associations between whole blood DNA methylation (DNAm) levels at several single genomic (i.e. CpG) sites and both individual and aggregated cardiometabolic conditions supported the creation of second-generation DNAm-based cardiometabolic-related biomarkers. These biomarkers linearly combine individual DNAm levels from key CpG sites, selected by a two-step machine learning procedures. They can be used, even retrospectively, in populations with extant whole blood DNAm levels and without observed cardiometabolic phenotypes. Purpose of review Here we offer an overview of the second-generation DNAm-based cardiometabolic biomarkers, discussing methodological advancements and implications on the interpretation and generalizability of the findings. We finally emphasize the contribution of DNAm-based biomarkers for risk stratification beyond traditional factors and discuss limitations and future directions of the field.
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Affiliation(s)
- Elena Colicino
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
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13
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Vancheri C, Morini E, Prandi FR, Barillà F, Romeo F, Novelli G, Amati F. Downregulation of Circulating Hsa-miR-200c-3p Correlates with Dyslipidemia in Patients with Stable Coronary Artery Disease. Int J Mol Sci 2023; 24:ijms24021112. [PMID: 36674633 PMCID: PMC9865013 DOI: 10.3390/ijms24021112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2022] [Revised: 12/19/2022] [Accepted: 01/01/2023] [Indexed: 01/11/2023] Open
Abstract
Coronary heart disease (CHD), one of the leading causes of disability and death worldwide, is a multifactorial disease whose early diagnosis is demanding. Thus, biomarkers predicting the occurrence of this pathology are of great importance from a clinical and therapeutic standpoint. By means of a pilot study on peripheral blood cells (PBMCs) of subjects with no coronary lesions (CTR; n = 2) and patients with stable CAD (CAD; n = 2), we revealed 61 differentially methylated regions (DMRs) (18 promoter regions, 24 genes and 19 CpG islands) and 14.997 differentially methylated single CpG sites (DMCs) in CAD patients. MiRNA-seq results displayed a peculiar miRNAs profile in CAD patients with 18 upregulated and 32 downregulated miRNAs (FC ≥ ±1.5, p ≤ 0.05). An integrated analysis of genome-wide DNA methylation and miRNA-seq results indicated a significant downregulation of hsa-miR-200c-3p (FCCAD = −2.97, p ≤ 0.05) associated to the hypermethylation of two sites (genomic coordinates: chr12:7073122-7073122 and chr12:7072599-7072599) located intragenic to the miR-200c/141 genomic locus (encoding hsa-miR-200c-3p) (p-value = 0.009) in CAD patients. We extended the hsa-miR-200c-3p expression study in a larger cohort (CAD = 72, CTR = 24), confirming its reduced expression level in CAD patients (FCCAD = −2; p = 0.02). However, when we analyzed the methylation status of the two CpG sites in the same cohort, we failed to identify significant differences. A ROC curve analysis showed good performance of hsa-miR-200c-3p expression level (AUC = 0.65; p = 0.02) in distinguishing CAD from CTR. Moreover, we found a significant positive correlation between hsa-miR-200c-3p expression and creatinine clearance (R2 = 0.212, p < 0.005, Pearson r = 0.461) in CAD patients. Finally, a phenotypic correlation performed in the CAD group revealed lower hsa-miR-200c-3p expression levels in CAD patients affected by dyslipidemia (+DLP, n = 58) (p < 0.01). These results indicate hsa-miR-200c-3p as potential epi-biomarker for the diagnosis and clinical progression of CAD and highlight the importance of deeper studies on the expression of this miRNA to understand its functional role in coronary artery disease development.
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Affiliation(s)
- Chiara Vancheri
- Unit of Medical Genetics, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | - Elena Morini
- Unit of Medical Genetics, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
| | | | - Francesco Barillà
- Unit of Cardiology, University Hospital “Tor Vergata”, 00133 Rome, Italy
| | - Francesco Romeo
- Unit of Cardiology, University Hospital “Tor Vergata”, 00133 Rome, Italy
- Faculty of Medicine, Unicamillus-Saint Camillus International University of Health and Medical Sciences, 00131 Rome, Italy
| | - Giuseppe Novelli
- Unit of Medical Genetics, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
- Neuromed IRCCS Institute, 86077 Pozzilli, Italy
- Department of Pharmacology, School of Medicine, University of Nevada, Reno, NV 89557, USA
| | - Francesca Amati
- Unit of Medical Genetics, Department of Biomedicine and Prevention, University of Rome “Tor Vergata”, 00133 Rome, Italy
- Correspondence:
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14
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Coppedè F, Franzago M, Giardina E, Nigro CL, Matullo G, Moltrasio C, Nacmias B, Pileggi S, Sirchia SM, Stoccoro A, Storlazzi CT, Stuppia L, Tricarico R, Merla G. A perspective on diet, epigenetics and complex diseases: where is the field headed next? Epigenomics 2022; 14:1281-1304. [DOI: 10.2217/epi-2022-0239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Dietary factors can regulate epigenetic processes during life, modulating the intracellular pools of metabolites necessary for epigenetic reactions and regulating the activity of epigenetic enzymes. Their effects are strong during the prenatal life, when epigenetic patterns are written, allowing organogenesis. However, interactions between diet and the epigenome continue throughout life and likely contribute to the onset and progression of various complex diseases. Here, we review the contribution of dietary factors to the epigenetic changes observed in complex diseases and suggest future steps to better address this issue, focusing on neurobehavioral, neuropsychiatric and neurodegenerative disorders, cardiovascular diseases, obesity and Type 2 diabetes, cancer and inflammatory skin diseases.
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Affiliation(s)
- Fabio Coppedè
- Department of Translational Research & of New Surgical & Medical Technologies, University of Pisa, Pisa, 56126, Italy
| | - Marica Franzago
- Department of Medicine & Aging, School of Medicine & Health Sciences, “G. d'Annunzio” University of Chieti–Pescara, Chieti, 66100, Italy
- Center for Advanced Studies & Technology, “G. d'Annunzio” University of Chieti–Pescara, Chieti, 66100, Italy
| | - Emiliano Giardina
- Genomic Medicine Laboratory UILDM, IRCCS Fondazione Santa Lucia, Rome, 00179, Italy
- Department of Biomedicine & Prevention, Tor Vergata University of Rome, Rome, 00133, Italy
| | | | - Giuseppe Matullo
- Department of Medical Sciences, University of Turin, Turin, 10126, Italy
| | - Chiara Moltrasio
- Dermatology Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, Milan, 20122, Italy
- Department of Medical Surgical & Health Sciences, University of Trieste, Trieste, 34137, Italy
| | - Benedetta Nacmias
- Department of Neuroscience, Psychology, Drug Research & Child Health, University of Florence, Florence, 50139, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, 50143, Italy
| | - Silvana Pileggi
- Department of Health Sciences, Medical Genetics, University of Milan, Milan, 20142, Italy
| | - Silvia Maria Sirchia
- Department of Health Sciences, Medical Genetics, University of Milan, Milan, 20142, Italy
| | - Andrea Stoccoro
- Department of Translational Research & of New Surgical & Medical Technologies, University of Pisa, Pisa, 56126, Italy
| | | | - Liborio Stuppia
- Center for Advanced Studies & Technology, “G. d'Annunzio” University of Chieti–Pescara, Chieti, 66100, Italy
- Department of Psychological, Health & Territorial Sciences, School of Medicine & Health Sciences, “G. d'Annunzio” University of Chieti–Pescara, Chieti, 66100, Italy
| | - Rossella Tricarico
- Department of Biology & Biotechnology, University of Pavia, Pavia, 27100, Italy
| | - Giuseppe Merla
- Laboratory of Regulatory & Functional Genomics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Foggia, 71013, Italy
- Department of Molecular Medicine & Medical Biotechnology, University of Naples Federico II, Naples, 80131, Italy
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15
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Zhang X, Ammous F, Lin L, Ratliff SM, Ware EB, Faul JD, Zhao W, Kardia SLR, Smith JA. The Interplay of Epigenetic, Genetic, and Traditional Risk Factors on Blood Pressure: Findings from the Health and Retirement Study. Genes (Basel) 2022; 13:1959. [PMID: 36360196 PMCID: PMC9689874 DOI: 10.3390/genes13111959] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 10/11/2022] [Accepted: 10/19/2022] [Indexed: 01/21/2023] Open
Abstract
The epigenome likely interacts with traditional and genetic risk factors to influence blood pressure. We evaluated whether 13 previously reported DNA methylation sites (CpGs) are associated with systolic (SBP) or diastolic (DBP) blood pressure, both individually and aggregated into methylation risk scores (MRS), in 3070 participants (including 437 African ancestry (AA) and 2021 European ancestry (EA), mean age = 70.5 years) from the Health and Retirement Study. Nine CpGs were at least nominally associated with SBP and/or DBP after adjusting for traditional hypertension risk factors (p < 0.05). MRSSBP was positively associated with SBP in the full sample (β = 1.7 mmHg per 1 standard deviation in MRSSBP; p = 2.7 × 10-5) and in EA (β = 1.6; p = 0.001), and MRSDBP with DBP in the full sample (β = 1.1; p = 1.8 × 10-6), EA (β = 1.1; p = 7.2 × 10-5), and AA (β = 1.4; p = 0.03). The MRS and BP-genetic risk scores were independently associated with blood pressure in EA. The effects of both MRSs were weaker with increased age (pinteraction < 0.01), and the effect of MRSDBP was higher among individuals with at least some college education (pinteraction = 0.02). In AA, increasing MRSSBP was associated with higher SBP in females only (pinteraction = 0.01). Our work shows that MRS is a potential biomarker of blood pressure that may be modified by traditional hypertension risk factors.
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Affiliation(s)
- Xinman Zhang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Lisha Lin
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Erin B. Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Jessica D. Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI 48104, USA
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16
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RNA modifications in aging-associated cardiovascular diseases. Aging (Albany NY) 2022; 14:8110-8136. [PMID: 36178367 PMCID: PMC9596201 DOI: 10.18632/aging.204311] [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: 05/07/2022] [Accepted: 09/17/2022] [Indexed: 11/25/2022]
Abstract
Cardiovascular disease (CVD) is a leading cause of morbidity and mortality worldwide that bears an enormous healthcare burden and aging is a major contributing factor to CVDs. Functional gene expression network during aging is regulated by mRNAs transcriptionally and by non-coding RNAs epi-transcriptionally. RNA modifications alter the stability and function of both mRNAs and non-coding RNAs and are involved in differentiation, development, and diseases. Here we review major chemical RNA modifications on mRNAs and non-coding RNAs, including N6-adenosine methylation, N1-adenosine methylation, 5-methylcytidine, pseudouridylation, 2′ -O-ribose-methylation, and N7-methylguanosine, in the aging process with an emphasis on cardiovascular aging. We also summarize the currently available methods to detect RNA modifications and the bioinformatic tools to study RNA modifications. More importantly, we discussed the specific implication of the RNA modifications on mRNAs and non-coding RNAs in the pathogenesis of aging-associated CVDs, including atherosclerosis, hypertension, coronary heart diseases, congestive heart failure, atrial fibrillation, peripheral artery disease, venous insufficiency, and stroke.
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17
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Xu C, Sun D, Wei C, Chang H. Bioinformatic analysis and experimental validation identified DNA methylation–Related biomarkers and immune-cell infiltration of atherosclerosis. Front Genet 2022; 13:989459. [PMID: 36159969 PMCID: PMC9493181 DOI: 10.3389/fgene.2022.989459] [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: 07/08/2022] [Accepted: 07/25/2022] [Indexed: 11/13/2022] Open
Abstract
Background: DNA methylation is an important form of epigenetic regulation and is closely related to atherosclerosis (AS). The purpose of this study was to identify DNA methylation–related biomarkers and explore the immune-infiltrate characteristics of AS based on methylation data.Methods: DNA methylation data of 15 atherosclerotic and paired healthy tissues were obtained from Gene Expression Omnibus database. Differential methylation positions (DMPs) and differential methylation regions (DMRs) were screened by the ChAMP R package. The methylation levels of DMPs located on CpG islands of gene promoter regions were averaged. The limma R package was used to screen differentially methylated genes in the CpG islands of the promoter regions. The diagnostic values of the methylation levels were evaluated using the pROC R package. The EpiDISH algorithm was applied to quantify the infiltration levels of seven types of immune cells. Subsequently, three pairs of clinical specimens of coronary atherosclerosis with Stary’s pathological stage III were collected, and the methylation levels were detected by the methylation-specific PCR (MS-PCR) assay. Western blot was performed to detect the protein expression levels of monocyte markers.Results: A total of 110, 695 DMPs, and 918 DMRs were screened in the whole genome. Also, six genes with significant methylation differences in the CpG islands of the promoter regions were identified, including 49 DMPs. In total, three genes (GRIK2, HOXA2, and HOXA3) had delta beta greater than 0.2. The infiltration level of monocytes was significantly upregulated in AS tissues. MS-PCR assay confirmed the methylation status of the aforementioned three genes in AS samples. The Western blot results showed that the expression levels of the monocyte marker CD14 and M1-type macrophage marker CD86 were significantly increased in AS while M2-type macrophage marker protein CD206 was significantly decreased.Conclusion: This study identified potential DNA methylation–related biomarkers and revealed the role of monocytes in early AS.
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Affiliation(s)
- Congjian Xu
- Department of Cardiology, Shengli Oilfield Central Hospital, Dongying, Shandong, China
| | - Di Sun
- Department of Cardiology, Shengli Oilfield Central Hospital, Dongying, Shandong, China
| | - Changmin Wei
- Department of Cardiology, Shengli Oilfield Central Hospital, Dongying, Shandong, China
- *Correspondence: Changmin Wei, ; Hao Chang,
| | - Hao Chang
- Hanyu Biomed Center Beijing, Beijing, China
- *Correspondence: Changmin Wei, ; Hao Chang,
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Shi W, Tang S, Fang J, Cao Y, Chen C, Li T, Gao X, Shi X. Epigenetic age stratifies the risk of blood pressure elevation related to short-term PM 2.5 exposure in older adults. ENVIRONMENTAL RESEARCH 2022; 212:113507. [PMID: 35636465 DOI: 10.1016/j.envres.2022.113507] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 05/14/2022] [Accepted: 05/17/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Exposure to fine particulate matter (PM2.5) is a prominent risk factor for cardiovascular aging in older adults and causes mild syndromes or other comorbidities in otherwise healthy older adults. Accordingly, a precise tool for PM2.5 exposure risk stratification is urgently needed. We aimed to address this need by comparing the performances of seven types of epigenetic age and chronological age to classify the effects of short-term PM2.5 exposure on blood pressure (BP), a typical clinical surrogate marker of cardiovascular aging. METHODS We conducted a panel study of the Chinese healthy adults aged 60-69 years through five monthly visits. Personal PM2.5 exposures were measured using wearable monitoring devices for three consecutive days, and DNA methylation was determined by the Illumina MethylationEPIC BeadChip using blood samples collected at each visit. Systolic BP, diastolic BP, mean arterial pressure and pulse pressure were measured by the electronic BP monitor. Linear mixed models with interaction terms between PM2.5 and different ages were used to assess their potential usefulness for stratification. RESULTS DNAmPhenoAge, Skin & blood clock, DNAmGrimAge acceleration, and DunedinPoAm had significant modifying effects on the relationship between PM2.5 and BP. For instance, a 10-μg/m3 increase in the 72-h moving mean PM2.5 was significantly associated with 0.30% (95% CI: 0.10%, 0.51%) and -0.07% (95% CI: -0.32%, 0.18%) increases in systolic BP at higher and lower DNAmPhenoAge acceleration, respectively. Joint models further revealed that using a combination of epigenetic ages could more precisely stratify the effect of PM2.5 on BP. CONCLUSIONS Our research indicates that epigenetic age may be a useful tool for evaluating the effect of short-term PM2.5 exposure on cardiovascular aging status.
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Affiliation(s)
- Wanying Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yaqiang Cao
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Chen Chen
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tiantian Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xu Gao
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China.
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China; Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China.
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Zhang Y, Jia Z, Zhou Q, Zhang Y, Li D, Qi Y, Xu F. A bibliometric analysis of DNA methylation in cardiovascular diseases from 2001 to 2021. Medicine (Baltimore) 2022; 101:e30029. [PMID: 35984203 PMCID: PMC9388003 DOI: 10.1097/md.0000000000030029] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND DNA methylation is a dynamically reversible form of epigenetics. Dynamic regulation plays an important role in cardiovascular diseases (CVDs). However, there have been few bibliometric studies in this field. We aimed to visualize the research results and hotspots of DNA methylation in CVDs using a bibliometric analysis to provide a scientific direction for future research. METHODS Publications related to DNA methylation in CVDs from January 1, 2001, to September 15, 2021, were searched and confirmed from the Web of Science Core Collection. CiteSpace 5.7 and VOSviewer 1.6.15 were used for bibliometric and knowledge-map analyses. RESULTS A total of 2617 publications were included in 912 academic journals by 15,584 authors from 963 institutions from 85 countries/regions. Among them, the United States of America, China, and England were the top 3 countries contributing to the field of DNA methylation. Harvard University, Columbia University, and University of Cambridge were the top 3 contributing institutions in terms of publications and were closely linked. PLoS One was the most published and co-cited journal. Baccarelli Andrea A published the most content, while Barker DJP had the highest frequency of co-citations. The keyword cluster focused on the mechanism, methyl-containing substance, exposure/risk factor, and biomarker. In terms of research hotspots, references with strong bursts, which are still ongoing, recently included "epigenetic clock" (2017-2021), "obesity, smoking, aging, and DNA methylation" (2017-2021), and "biomarker and epigenome-wide association study" (2019-2021). CONCLUSIONS We used bibliometric and visual methods to identify research hotspots and trends in DNA methylation in CVDs. Epigenetic clocks, biomarkers, environmental exposure, and lifestyle may become the focus and frontier of future research.
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Affiliation(s)
- Yan Zhang
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zijun Jia
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Qingbing Zhou
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ying Zhang
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Dandan Li
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yifei Qi
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Fengqin Xu
- Department of Cardiovascular, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: Fengqin Xu, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China (e-mail: )
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Zhu L, Zhu C, Wang J, Yang R, Zhao X. The association between DNA methylation of 6p21.33 and AHRR in blood and coronary heart disease in Chinese population. BMC Cardiovasc Disord 2022; 22:370. [PMID: 35964014 PMCID: PMC9375073 DOI: 10.1186/s12872-022-02766-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 07/13/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Early detection could significantly improve the prognosis of coronary heart disease (CHD). In-invitro diagnostic technique may provide a solution when sufficient biomarkers could be identified. Pertinent associations between blood-based aberrant DNA methylation and smoking, the pathogenesis of atherosclerosis, and CHD have been robustly demonstrated and replicated, but that studies in Chinese populations are rare. The blood-based methylation of aryl-hydrocarbon receptor repressor (AHRR) cg05575921 and 6p21.33 cg06126421 has been associated with cardiovascular mortality in Caucasians. Here, we aim to investigate whether the AHRR and 6p21.33 methylation in the blood is associated with CHD in the Chinese population. METHODS In this case-control study, 180 CHD patients recruited at their first registration in our study center, and 184 controls randomly selected from the people who participated in the annual health examination were enrolled. Methylation intensities of 19 CpG sites, including AHRR cg05575921, 6p21.33 cg06126421, and their flanking CpG sites, were quantified by mass spectrometry. The association between methylation intensities and CHD was estimated by logistic regression analyses adjusted for covariant. RESULTS Compared to the controls, lower methylation of 6p21.33_CpG_4.5/cg06126421 was independently associated with increased odds of being a CHD patient (OR per - 10% methylation = 1.42 after adjustment for age, gender, and batch effect; p = 0.032 by multiple testing corrections). No association between blood-based AHRR methylation and CHD was found. CONCLUSIONS 6p21.33 methylation exhibits a significant association with CHD. The combination of 6p21.33 methylation and conventional risk factors might be an intermediate step towards the early detection of CHD.
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Affiliation(s)
- Liya Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Chao Zhu
- Department of Cardiology, Beijing Friendship Hospital, Capital Medical University, 95 Yong'an Road, West District, Beijing, 100050, China
| | - Jinxin Wang
- Department of Cardiology, The Second Medical Centre, Chinese PLA General Hospital, Beijing, 100853, China
| | - Rongxi Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Xiaojing Zhao
- Military Translational Medicine Lab, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, 100853, China. .,Beijing Key Laboratory of Chronic Heart Failure Precision Medicine, Medical Innovation Research Division, Chinese PLA General Hospital, Beijing, 100853, China.
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Helicobacter pylori infection and DNMT3a polymorphism are associated with the presence of premature coronary artery disease and subclinical atherosclerosis. Data from the GEA Mexican Study. Microb Pathog 2022; 170:105719. [PMID: 35961487 DOI: 10.1016/j.micpath.2022.105719] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/07/2022] [Accepted: 08/04/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND The association between H. pylori infection and coronary artery disease (CAD) is well-known. Alterations in DNA methylation in CAD have been reported, which can be induced by H. pylori through the DNA demethylases (DNMTs). The objective was to analyze the association and interaction of H. pylori infection and DMNT3a gene polymorphisms with premature CAD (pCAD) and subclinical atherosclerosis (SA). METHODS The study included 561 patients with pCAD, 318 subjects with SA, and 599 healthy controls. Antibodies against H. pylori and DNMT3a rs13420827, rs752208, and rs1550117 polymorphisms were determined. RESULTS The pCAD group presented the highest seroprevalence of H. pylori infection (87.7%) compared to the SA (74.5%, p = 1 × 10-6) and the control group (63.1%, p = 7 × 10-23). A significant association was observed between H. pylori infection and pCAD (OR = 2.729, p = 1.0 × 10-6). The rs13420827 polymorphism was associated with a high risk of H. pylori infection in the whole population (padditive = 0.009, pdominant = 0.018, and pcodominant2 = 0.013) and in individuals with SA (padditive = 0.003, pdominant = 0.020, precessive = 0.013, and pcodominant2 = 0.005). The coexistence of H. pylori infection and the rs13420827GG genotype increases the risk of pCAD (pinteraction = 1.1 × 10-5). CONCLUSIONS According to the model adjusted for more confounding variables, H. pylori infection was associated with almost three times the risk of developing pCAD. The rs13420827G allele was associated with an increased risk of H. pylori infection in the whole population and in individuals with SA. Individuals in whom H. pylori infection and the rs13420827GG genotype coexist are at increased risk of pCAD.
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Lin CY, Lee HL, Chen CW, Wang C, Sung FC, Su TC. Global DNA methylation mediates the association between serum perfluorooctane sulfonate and carotid intima-media thickness in young and middle-aged Taiwanese populations. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2022; 241:113782. [PMID: 35753273 DOI: 10.1016/j.ecoenv.2022.113782] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 06/14/2022] [Accepted: 06/15/2022] [Indexed: 06/15/2023]
Abstract
PURPOSE Perfluoroalkyl and polyfluoroalkyl substances (PFAS) are a group of synthetic chemicals used in the manufacture of many everyday products. Previous reports have shown PFAS exposure may contribute to cardiovascular diseases (CVD). Recent studies have also identified a critical role for DNA methylation, a model of epigenetic regulation, in the pathogenesis of CVD. Additionally, PFAS has been shown to affect DNA methylation. Our previous study reported the positive association between serum perfluorooctane sulfonate (PFOS) levels and mean carotid intima-media thickness (CIMT), a biomarker of arteriosclerosis, in a cohort composed of adolescent and young adult Taiwanese. However, the contribution of DNA methylation in the mechanism of PFOS-induced arteriosclerosis has never been explored in previous literature. APPROACH AND RESULTS In this cross-sectional study, we included 1425 young and middle-aged Taiwanese individuals (12-63 years) to investigate the correlation between serum PFOS levels, 5mdC/dG (a global DNA methylation marker) and the mean CIMT. We showed that the positive association between serum PFOS levels, 5mdC/dG, and mean CIMT. The regression coefficients of mean CIMT with a one-unit increase in ln-PFOS concentration were higher when the levels of 5mdC/dG were above the 50th percentile in the multiple regression analysis. In the structural equation model (SEM), the results showed that serum PFOS levels were directly correlated with mean CIMT and indirectly correlated with CIMT through 5mdC/dG. CONCLUSIONS Our results showed that PFOS exposure has direct associations on arteriosclerosis and indirect direct associations on arteriosclerosis through DNA methylation. The results suggest that DNA methylation might regulate the relationship between PFOS and arteriosclerosis in the study subjects. Additional works are required to understand the causal inference between PFOS, DNA methylation, and arteriosclerosis.
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Affiliation(s)
- Chien-Yu Lin
- Department of Internal Medicine, En Chu Kong Hospital, New Taipei City 237, Taiwan; School of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan; Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Hui-Ling Lee
- Department of Chemistry, Fu Jen Catholic University, New Taipei City 242, Taiwan
| | - Ching-Way Chen
- Department of Cardiology, National Taiwan University Hospital Yunlin Branch, Taiwan
| | - Chikang Wang
- Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Fung-Chang Sung
- Department of Health Services Administration, China Medical University College of Public Health, Taichung 404, Taiwan; Department of Food Nutrition and Health Biotechnology, Asia University, Taichung 413, Taiwan
| | - Ta-Chen Su
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei 100, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei 100, Taiwan.
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23
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Domingo-Relloso A, Makhani K, Riffo-Campos AL, Tellez-Plaza M, Klein KO, Subedi P, Zhao J, Moon KA, Bozack AK, Haack K, Goessler W, Umans JG, Best LG, Zhang Y, Herreros-Martinez M, Glabonjat RA, Schilling K, Galvez-Fernandez M, Kent JW, Sanchez TR, Taylor KD, Craig Johnson W, Durda P, Tracy RP, Rotter JI, Rich SS, Berg DVD, Kasela S, Lappalainen T, Vasan RS, Joehanes R, Howard BV, Levy D, Lohman K, Liu Y, Daniele Fallin M, Cole SA, Mann KK, Navas-Acien A. Arsenic Exposure, Blood DNA Methylation, and Cardiovascular Disease. Circ Res 2022; 131:e51-e69. [PMID: 35658476 PMCID: PMC10203287 DOI: 10.1161/circresaha.122.320991] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 05/18/2022] [Indexed: 02/03/2023]
Abstract
BACKGROUND Epigenetic dysregulation has been proposed as a key mechanism for arsenic-related cardiovascular disease (CVD). We evaluated differentially methylated positions (DMPs) as potential mediators on the association between arsenic and CVD. METHODS Blood DNA methylation was measured in 2321 participants (mean age 56.2, 58.6% women) of the Strong Heart Study, a prospective cohort of American Indians. Urinary arsenic species were measured using high-performance liquid chromatography coupled to inductively coupled plasma mass spectrometry. We identified DMPs that are potential mediators between arsenic and CVD. In a cross-species analysis, we compared those DMPs with differential liver DNA methylation following early-life arsenic exposure in the apoE knockout (apoE-/-) mouse model of atherosclerosis. RESULTS A total of 20 and 13 DMPs were potential mediators for CVD incidence and mortality, respectively, several of them annotated to genes related to diabetes. Eleven of these DMPs were similarly associated with incident CVD in 3 diverse prospective cohorts (Framingham Heart Study, Women's Health Initiative, and Multi-Ethnic Study of Atherosclerosis). In the mouse model, differentially methylated regions in 20 of those genes and DMPs in 10 genes were associated with arsenic. CONCLUSIONS Differential DNA methylation might be part of the biological link between arsenic and CVD. The gene functions suggest that diabetes might represent a relevant mechanism for arsenic-related cardiovascular risk in populations with a high burden of diabetes.
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Affiliation(s)
- Arce Domingo-Relloso
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
- Department of Statistics and Operations Research, University of Valencia, Spain
| | - Kiran Makhani
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Angela L. Riffo-Campos
- Millennium Nucleus on Sociomedicine (SocioMed) and Vicerrectoría Académica, Universidad de La Frontera, Temuco, Chile
- Department of Computer Science, ETSE, University of Valencia, Valencia, Spain
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Kathleen Oros Klein
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
| | - Pooja Subedi
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Katherine A. Moon
- Department of Environmental Health and Engineering, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Anne K. Bozack
- Department of Environmental Health Sciences, School of Public Health, University of California, Berkeley, USA
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Walter Goessler
- Institute of Chemistry - Analytical Chemistry for Health and Environment, University of Graz, Austria
| | | | - Lyle G. Best
- Missouri Breaks Industries and Research Inc., Eagle Butte, SD, USA
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, OK, USA
| | | | - Ronald A. Glabonjat
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Kathrin Schilling
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Marta Galvez-Fernandez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Jack W. Kent
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Tiffany R Sanchez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - W. Craig Johnson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Peter Durda
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Russell P. Tracy
- Department of Pathology Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - David Van Den Berg
- Department of Population and Public Health Sciences, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, USA
| | - Silva Kasela
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Ramachandran S Vasan
- National Heart, Lung, and Blood Institute’s and Boston University’s Framingham Heart Study, Framingham, MA; Sections of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, department of Epidemiology, Boston University Schools of medicine and Public health, Boston, MA, USA
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
- Framingham Heart Study, Framingham, MA
| | | | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
- Framingham Heart Study, Framingham, MA
| | - Kurt Lohman
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Yongmei Liu
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - M Daniele Fallin
- Departments of Mental Health and Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Shelley A. Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Koren K. Mann
- Lady Davis Institute for Medical Research, Jewish General Hospital, Montreal, Quebec, Canada
- Department of Pharmacology and Therapeutics, McGill University, Montreal, Canada
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
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Jiang S, Liu Y, Li Y, Lu C, Venners SA. Associations of Two Common Polymorphisms in MTHFR Gene with Blood Lipids and Therapeutic Efficacy of Simvastatin. Curr Pharm Des 2022; 28:2167-2176. [PMID: 35747958 DOI: 10.2174/1381612828666220623102537] [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: 02/25/2022] [Accepted: 05/04/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND PURPOSE Cardio-cerebrovascular disease is an important public health challenge worldwide, and its complex etiology has not been elucidated fully. The study was to investigate the relationship between two common polymorphisms C677T and A1298C in the methylenetetrahydrofolate reductase (MTHFR) gene, baseline lipids and the lipid-lowering efficacy of simvastatin in a Chinese hyperlipidemic population. METHODS All participants were recruited from Anhui, China. By the extreme sampling method, we selected subjects with low response (n=108) and high response (n=106) based on their adjusted lipid-lowering response to simvastatin administrated for 8 consecutive weeks. Both MTHFR C677T and A1298C loci were genotyped by MALDI-TOF MS platform. Serum triglyceride (TG), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C) levels were measured at baseline and after 8 weeks of oral 20 mg/d tablet of simvastatin. RESULTS Patients with the 677TT genotype had significantly higher baseline TC, HDL-C, and change in HDL-C (ΔHDL-C) levels after treatment than those with 677CC+CT genotypes (β = 0.207, P = 0.045; β = 0.182, P = 0.026; and β = 0.16, P = 0.002, respectively). Patients with 1298AC+CC genotypes had significantly higher baseline LDL-C and change in LDL-C (ΔLDL-C) levels (β = 0.276, P =0.043; β = 0.359, P = 0.025, respectively) than those with 1298AA genotype. We found statistical interactions between the two SNPs in association with baseline HDL-C (P for interaction = 0.034), TC (P for interaction = 0.069), and TG (P for interaction = 0.034). Baseline TC (P = 0.027) and HDL-C (P = 0.046) and change in HDL-C (P = 0.019) were different among those with the MTHFR A-T haplotype compared with A-C. CONCLUSIONS Our major findings suggest that both MTHFR C677T and A1298C polymorphisms could be important genetic determinants of lipid traits and drug efficacy of simvastatin. This will contribute to a better understanding of strategies for personalized medication in Chinese patients with dyslipidemia.
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Affiliation(s)
- Shanqun Jiang
- School of Life Sciences, Anhui University, Hefei, China.,Institute of Physical Science and Information Technology, Anhui University, Hefei, China
| | - Yu Liu
- School of Life Sciences, Anhui University, Hefei, China
| | - Yajie Li
- School of Life Sciences, Anhui University, Hefei, China
| | - Cuiping Lu
- School of Life Sciences, Anhui University, Hefei, China
| | - Scott A Venners
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada
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25
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Yousefi PD, Suderman M, Langdon R, Whitehurst O, Davey Smith G, Relton CL. DNA methylation-based predictors of health: applications and statistical considerations. Nat Rev Genet 2022; 23:369-383. [PMID: 35304597 DOI: 10.1038/s41576-022-00465-w] [Citation(s) in RCA: 69] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/18/2022] [Indexed: 12/12/2022]
Abstract
DNA methylation data have become a valuable source of information for biomarker development, because, unlike static genetic risk estimates, DNA methylation varies dynamically in relation to diverse exogenous and endogenous factors, including environmental risk factors and complex disease pathology. Reliable methods for genome-wide measurement at scale have led to the proliferation of epigenome-wide association studies and subsequently to the development of DNA methylation-based predictors across a wide range of health-related applications, from the identification of risk factors or exposures, such as age and smoking, to early detection of disease or progression in cancer, cardiovascular and neurological disease. This Review evaluates the progress of existing DNA methylation-based predictors, including the contribution of machine learning techniques, and assesses the uptake of key statistical best practices needed to ensure their reliable performance, such as data-driven feature selection, elimination of data leakage in performance estimates and use of generalizable, adequately powered training samples.
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Affiliation(s)
- Paul D Yousefi
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK
| | - Matthew Suderman
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK
| | - Ryan Langdon
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK
| | - Oliver Whitehurst
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK
| | - Caroline L Relton
- Medical Research Council Integrative Epidemiology Unit at the University of Bristol, University of Bristol, Bristol, UK.
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26
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Wang YZ, Zhao W, Ammous F, Song Y, Du J, Shang L, Ratliff SM, Moore K, Kelly KM, Needham BL, Diez Roux AV, Liu Y, Butler KR, Kardia SLR, Mukherjee B, Zhou X, Smith JA. DNA Methylation Mediates the Association Between Individual and Neighborhood Social Disadvantage and Cardiovascular Risk Factors. Front Cardiovasc Med 2022; 9:848768. [PMID: 35665255 PMCID: PMC9162507 DOI: 10.3389/fcvm.2022.848768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 04/29/2022] [Indexed: 12/14/2022] Open
Abstract
Low socioeconomic status (SES) and living in a disadvantaged neighborhood are associated with poor cardiovascular health. Multiple lines of evidence have linked DNA methylation to both cardiovascular risk factors and social disadvantage indicators. However, limited research has investigated the role of DNA methylation in mediating the associations of individual- and neighborhood-level disadvantage with multiple cardiovascular risk factors in large, multi-ethnic, population-based cohorts. We examined whether disadvantage at the individual level (childhood and adult SES) and neighborhood level (summary neighborhood SES as assessed by Census data and social environment as assessed by perceptions of aesthetic quality, safety, and social cohesion) were associated with 11 cardiovascular risk factors including measures of obesity, diabetes, lipids, and hypertension in 1,154 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). For significant associations, we conducted epigenome-wide mediation analysis to identify methylation sites mediating the relationship between individual/neighborhood disadvantage and cardiovascular risk factors using the JT-Comp method that assesses sparse mediation effects under a composite null hypothesis. In models adjusting for age, sex, race/ethnicity, smoking, medication use, and genetic principal components of ancestry, epigenetic mediation was detected for the associations of adult SES with body mass index (BMI), insulin, and high-density lipoprotein cholesterol (HDL-C), as well as for the association between neighborhood socioeconomic disadvantage and HDL-C at FDR q < 0.05. The 410 CpG mediators identified for the SES-BMI association were enriched for CpGs associated with gene expression (expression quantitative trait methylation loci, or eQTMs), and corresponding genes were enriched in antigen processing and presentation pathways. For cardiovascular risk factors other than BMI, most of the epigenetic mediators lost significance after controlling for BMI. However, 43 methylation sites showed evidence of mediating the neighborhood socioeconomic disadvantage and HDL-C association after BMI adjustment. The identified mediators were enriched for eQTMs, and corresponding genes were enriched in inflammatory and apoptotic pathways. Our findings support the hypothesis that DNA methylation acts as a mediator between individual- and neighborhood-level disadvantage and cardiovascular risk factors, and shed light on the potential underlying epigenetic pathways. Future studies are needed to fully elucidate the biological mechanisms that link social disadvantage to poor cardiovascular health.
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Affiliation(s)
- Yi Zhe Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Yanyi Song
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jiacong Du
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lulu Shang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Kari Moore
- Urban Health Collaborative, Drexel University, Philadelphia, PA, United States
| | - Kristen M. Kelly
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Belinda L. Needham
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ana V. Diez Roux
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Kenneth R. Butler
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, United States
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
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Zhang Z, Wang L, Zhan Y, Xie C, Xiang Y, Chen D, Wu Y. Clinical value and expression of Homer 1, homocysteine, S-adenosyl-l-homocysteine, fibroblast growth factors 23 in coronary heart disease. BMC Cardiovasc Disord 2022; 22:215. [PMID: 35546659 PMCID: PMC9097103 DOI: 10.1186/s12872-022-02554-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Accepted: 03/07/2022] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND This study aimed to explore clinical value and expression of Homer 1, S-adenosyl-l-homocysteine (SAH), homocysteine (Hcy), fibroblast growth factors (FGF) 23 in coronary heart disease (CHD). METHODS From March 2020 to April 2021, a total of 137 patients with CHD and 138 healthy subjects who came to our hospital for physical examination and had no cardiovascular disease were retrospectively enrolled, and they were assigned to the CHD group and the control group, respectively. Patients in the CHD group were divided into stable angina pectoris (SAP) group (n = 48), unstable angina pectoris (UAP) group (n = 46), and acute myocardial infarction (AMI) group (n = 43) according to clinical characteristics for subgroup analysis. The degree of coronary artery stenosis was assessed by Gensini score, which is a reliable assessment tool for the severity of coronary artery disease. The levels of Homer 1, SAH, Hcy, and FGF 23 were tested and compared. Spearman correlation analysis was used to analyze the correlation between serum Homer1, SAH, Hcy, FGF23 levels and Gensini score, and multivariate unconditional Logistic regression was used to analyze the risk factors of coronary heart disease. RESULTS Demographic characteristics of each group were comparable (P > 0.05). The body mass index (BMI), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglyceride (TG), and glucose levels of the SAP group, UAP group and AMI group were significantly higher than those of the control group, and the number of patients with smoking, alcohol consumption, hypertension, and diabetes history was significantly more than that of the control group, respectively (P < 0.05). The level of high-density lipoprotein cholesterol (HDL-C) of each subgroup was significantly lower than the control group (P < 0.05). The above indicators showed no significant difference among three subgroups (P > 0.05). Serum SAH, Hcy, Homer1 and FGF23 levels in each subgroup were significantly higher than those in control group (P < 0.05). And above indicators in SAP group and UAP group were significantly lower than those in AMI group (P < 0.05), and the levels of above indicators in SAP group were significantly lower than those in UAP group (P < 0.05). The results of Spearman correlation analysis showed that serum Homer1, FGF23, SAH, Hcy levels were positively correlated with Gensini score (r = 0.376, 0.623, 0.291, 0.372, all P < 0.01). Multivariate logistic regression analysis showed that smoking, hypertension, diabetes, alcohol consumption, obesity, HDL-C, FGF23, SAH, Hcy, Homer 1 were independent risk factors for coronary heart disease. CONCLUSION The levels of FGF23, SAH, Hcy, and Homer1 tend to increase in patients with CHD compared with normal population, and the more severe the disease, the higher the levels, which has certain reference value for the clinical diagnosis of CHD and the evaluation and monitoring of the disease.
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Affiliation(s)
- Zhixin Zhang
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - Lin Wang
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - Yu Zhan
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - Cui Xie
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - Yang Xiang
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - Dan Chen
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China
| | - You Wu
- Department of Cardiology, Renmin Hospital, Hubei University of Medicine, No. 39 Chaoyang Middle Road, Shiyan, 442000, Hubei, China.
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Wu F, Yang Q, Mi Y, Wang F, Cai K, Zhang Y, Wang Y, Wang X, Gui Y, Li Q. miR-29b-3p Inhibitor Alleviates Hypomethylation-Related Aberrations Through a Feedback Loop Between miR-29b-3p and DNA Methylation in Cardiomyocytes. Front Cell Dev Biol 2022; 10:788799. [PMID: 35478963 PMCID: PMC9035530 DOI: 10.3389/fcell.2022.788799] [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: 10/03/2021] [Accepted: 03/18/2022] [Indexed: 11/17/2022] Open
Abstract
As a member of the miR-29 family, miR-29b regulates global DNA methylation through target DNA methyltransferases (DNMTs) and acts as both a target and a key effector in DNA methylation. In this study, we found that miR-29b-3p expression was inversely correlated with DNMT expression in the heart tissues of patients with congenital heart disease (CHD), but whether it interacts with DNMTs in cardiomyocytes remains unknown. Further results revealed a feedback loop between miR-29b-3p and DNMTs in cardiomyocytes. Moreover, miR-29b-3p inhibitor relieved the deformity of hypomethylated zebrafish and restored the DNA methylation patterns in cardiomyocytes, resulting in increased proliferation and renormalization of gene expression. These results suggest mutual regulation between miR-29b-3p and DNMTs in cardiomyocytes and support the epigenetic normalization of miRNA-based therapy in cardiomyocytes.
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Affiliation(s)
- Fang Wu
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Department of Neonatology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qian Yang
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
| | - Yaping Mi
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
| | - Feng Wang
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
| | - Ke Cai
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
| | - Yawen Zhang
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
| | - Youhua Wang
- Department of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xu Wang
- Cancer Institute, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yonghao Gui
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- Cardiovascular Center, NHC Key Laboratory of Neonatal Diseases, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- *Correspondence: Qiang Li, ; Yonghao Gui,
| | - Qiang Li
- Translational Medical Center for Development and Disease, Shanghai Key Laboratory of Birth Defect Prevention and Control, NHC Key Laboratory of Neonatal Diseases, Institute of Pediatrics, Children’s Hospital of Fudan University, National Children’s Medical Center, Shanghai, China
- *Correspondence: Qiang Li, ; Yonghao Gui,
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29
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Li X, Qi L. Epigenetics in Precision Nutrition. J Pers Med 2022; 12:jpm12040533. [PMID: 35455649 PMCID: PMC9027461 DOI: 10.3390/jpm12040533] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2022] [Revised: 03/14/2022] [Accepted: 03/24/2022] [Indexed: 02/01/2023] Open
Abstract
Precision nutrition is an emerging area of nutrition research, with primary focus on the individual variability in response to dietary and lifestyle factors, which are mainly determined by an individual’s intrinsic variations, such as those in genome, epigenome, and gut microbiome. The current research on precision nutrition is heavily focused on genome and gut microbiome, while epigenome (DNA methylation, non-coding RNAs, and histone modification) is largely neglected. The epigenome acts as the interface between the human genome and environmental stressors, including diets and lifestyle. Increasing evidence has suggested that epigenetic modifications, particularly DNA methylation, may determine the individual variability in metabolic health and response to dietary and lifestyle factors and, therefore, hold great promise in discovering novel markers for precision nutrition and potential targets for precision interventions. This review summarized recent studies on DNA methylation with obesity, diabetes, and cardiovascular disease, with more emphasis put in the relations of DNA methylation with nutrition and diet/lifestyle interventions. We also briefly reviewed other epigenetic events, such as non-coding RNAs, in relation to human health and nutrition, and discussed the potential role of epigenetics in the precision nutrition research.
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Affiliation(s)
- Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA;
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Correspondence: ; Tel.: +1-504-988-7259
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30
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C. Chi G, Liu Y, MacDonald JW, M. Reynolds L, Enquobahrie DA, L. Fitzpatrick A, Kerr KF, J. Budoff M, Lee SI, Siscovick D, D. Kaufman J. Epigenome-wide analysis of long-term air pollution exposure and DNA methylation in monocytes: results from the Multi-Ethnic Study of Atherosclerosis. Epigenetics 2022; 17:297-313. [PMID: 33818294 PMCID: PMC8920186 DOI: 10.1080/15592294.2021.1900028] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Air pollution might affect atherosclerosis through DNA methylation changes in cells crucial to atherosclerosis, such as monocytes. We conducted an epigenome-wide study of DNA methylation in CD14+ monocytes and long-term ambient air pollution exposure in adults participating in the Multi-Ethnic Study of Atherosclerosis (MESA). We also assessed the association between differentially methylated signals and cis-gene expression. Using spatiotemporal models, one-year average concentrations of outdoor fine particulate matter (PM2.5) and oxides of nitrogen (NOX) were estimated at participants' homes. We assessed DNA methylation and gene expression using Illumina 450k and HumanHT-12 v4 Expression BeadChips, respectively (n = 1,207). We used bump hunting and site-specific approaches to identify differentially methylated signals (false discovery rate of 0.05) and used linear models to assess associations between differentially methylated signals and cis-gene expression. Four differentially methylated regions (DMRs) located on chromosomes 5, 6, 7, and 16 (within or near SDHAP3, ZFP57, HOXA5, and PRM1, respectively) were associated with PM2.5. The DMRs on chromosomes 5 and 6 also associated with NOX. The DMR on chromosome 5 had the smallest p-value for both PM2.5 (p = 1.4×10-6) and NOX (p = 7.7×10-6). Three differentially methylated CpGs were identified for PM2.5, and cg05926640 (near TOMM20) had the smallest p-value (p = 5.6×10-8). NOX significantly associated with cg11756214 within ZNF347 (p = 5.6×10-8). Several differentially methylated signals were also associated with cis-gene expression. The DMR located on chromosome 7 was associated with the expression of HOXA5, HOXA9, and HOXA10. The DMRs located on chromosomes 5 and 16 were associated with expression of MRPL36 and DEXI, respectively. The CpG cg05926640 was associated with expression of ARID4B, IRF2BP2, and TOMM20. We identified differential DNA methylation in monocytes associated with long-term air pollution exposure. Methylation signals associated with gene expression might help explain how air pollution contributes to cardiovascular disease.
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Affiliation(s)
- Gloria C. Chi
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA,CONTACT Gloria C. Chi 1 DNA Way, South San Francisco, CA 94080
| | - Yongmei Liu
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - James W. MacDonald
- Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Lindsay M. Reynolds
- Department of Epidemiology & Prevention, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Daniel A. Enquobahrie
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Annette L. Fitzpatrick
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA,Department of Family Medicine, School of Medicine, University of Washington, Seattle, Washington, USA,Department of Global Health, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Kathleen F. Kerr
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, Washington, USA
| | - Matthew J. Budoff
- Division of Cardiology, Los Angeles Biomedical Research Institute at Harbor–UCLA Medical Center, Torrance, California, USA
| | - Su-in Lee
- Department of Computer Science & Engineering, University of Washington, Seattle, Washington, USA,Department of Genome Sciences, University of Washington, Seattle, Washington, USA
| | | | - Joel D. Kaufman
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, Washington, USA,Department of Environmental and Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, USA
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31
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Sun S, Sheridan M, Tyrka A, Donofry SD, Erickson K, Loucks E. Addressing the biological embedding of early life adversities (ELA) among adults through mindfulness: Proposed mechanisms and review of converging evidence. Neurosci Biobehav Rev 2022; 134:104526. [PMID: 34998833 PMCID: PMC8844271 DOI: 10.1016/j.neubiorev.2022.104526] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 12/21/2021] [Accepted: 01/03/2022] [Indexed: 12/18/2022]
Abstract
Early life adversities (ELA) are prevalent and have a profound and adverse impact across the lifespan, including on age-related health outcomes, yet interventions to remediate its adverse impact are scarce. This paper presents evidence for mindfulness training to reduce the elevated mental and physical health risks linked to ELA among adults by targeting biological mechanisms of ELA leading to these adverse health outcomes. We first provide a brief overview of ELA, its adverse health impacts, and mechanisms that might be responsible. Next, we review converging evidence that demonstrates that mindfulness training influences key biological pathways involved in ELA-linked negative health consequences, including (a) brain networks involved in self-regulation, (b) immunity and inflammation, (c) telomere biology, and (d) epigenetic modifications. Further, we review preliminary evidence from mindfulness-based trials that focused on populations impacted by ELA. We discuss limitations of this review and provide recommendations for future research. If effective, a mindfulness-based approach could be an important public health strategy for remediating the adverse mental and physical health consequences of ELA.
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Affiliation(s)
- Shufang Sun
- Department of Behavioral and Social Sciences, Brown University School of Public Health, United States; Mindfulness Center at Brown University, United States.
| | - Margaret Sheridan
- Department of Psychology and Neuroscience, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Audrey Tyrka
- Initiative on Stress, Trauma, and Resilience, Department of Psychiatry and Human Behavior, Brown University Alpert Medical School
| | | | - Kirk Erickson
- Department of Psychology, University of Pittsburgh, Pittsburgh, PA,Center for Neuroscience, University of Pittsburgh, Pittsburgh, PA,Center for the Neural Basis of Cognition, Pittsburgh, PA
| | - Eric Loucks
- Department of Behavioral and Social Sciences, Brown University School of Public Health,Mindfulness Center at Brown University
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32
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Lin CY, Chen CW, Lee HL, Wu C, Wang C, Sung FC, Su TC. Global DNA methylation mediates the association between urine mono-2-ethylhexyl phthalate and serum apoptotic microparticles in a young Taiwanese population. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 808:152054. [PMID: 34863772 DOI: 10.1016/j.scitotenv.2021.152054] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/27/2021] [Accepted: 11/24/2021] [Indexed: 06/13/2023]
Abstract
Di-(2-ethylhexyl) phthalate (DEHP) has been used as a plasticizer for decades. Recent research evidence has revealed that environmental factors can alter vascular endothelial cell function through DNA methylation. However, no previous in vitro/vivo study has explored the role of DNA methylation in DEHP exposure and vascular endothelial cell function. In the present study, we enrolled 793 subjects aged 12 to 30 years from a young Taiwanese cohort to investigate the association between mono-2-ethylhexyl phthalate (MEHP) (urine DEHP metabolite), 5mdC/dG (global DNA methylation marker), CD31+/CD42a-, CD31+/CD42a+, and CD14 (apoptotic microparticles of vascular cells). In multiple regression analyses, the levels of mono-2-ethylhexyl phthalate (MEHP) were positively associated with 5mdC/dG and all three apoptotic microparticles. In addition, the regression coefficients between MEHP and the three types of apoptotic microparticles were higher when the 5mdC/dG levels were higher than the 50th percentile. In the structural equation model (SEM), we found that MEHP had a direct correlation with CD31+/CD42a- and an indirect association with CD31+/CD42a- through the effect of 5mdC/dG. Moreover, MEHP only had a direct association with CD31+/CD42a+ and an indirect association with CD14. In conclusion, the results show that global DNA methylation mediates the relationship between MEHP and apoptotic microparticles. These findings indicate that DNA methylation may play a role in the pathogenesis of DEHP-induced endothelial cell apoptosis in humans. Further studies are needed to clarify the causal inference.
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Affiliation(s)
- Chien-Yu Lin
- Department of Internal Medicine, En Chu Kong Hospital, New Taipei City 237, Taiwan; School of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan; Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Ching-Way Chen
- Department of Cardiology, National Taiwan University Hospital Yunlin Branch, Taiwan
| | - Hui-Ling Lee
- Department of Chemistry, Fu Jen Catholic University, New Taipei City 242, Taiwan
| | - Charlene Wu
- Global Health, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Chikang Wang
- Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu 300, Taiwan
| | - Fung-Chang Sung
- Department of Health Services Administration, College of Public Health, China Medical University, Taichung 404, Taiwan
| | - Ta-Chen Su
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei 10002, Taiwan; Department of Internal Medicine and Cardiovascular Center, National Taiwan University Hospital, Taipei 10002, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei 10002, Taiwan; The Experimental Forest, National Taiwan University, Nantou 558, Taiwan.
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33
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Galow AM, Peleg S. How to Slow down the Ticking Clock: Age-Associated Epigenetic Alterations and Related Interventions to Extend Life Span. Cells 2022; 11:468. [PMID: 35159278 PMCID: PMC8915189 DOI: 10.3390/cells11030468] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 01/26/2022] [Indexed: 02/04/2023] Open
Abstract
Epigenetic alterations pose one major hallmark of organismal aging. Here, we provide an overview on recent findings describing the epigenetic changes that arise during aging and in related maladies such as neurodegeneration and cancer. Specifically, we focus on alterations of histone modifications and DNA methylation and illustrate the link with metabolic pathways. Age-related epigenetic, transcriptional and metabolic deregulations are highly interconnected, which renders dissociating cause and effect complicated. However, growing amounts of evidence support the notion that aging is not only accompanied by epigenetic alterations, but also at least in part induced by those. DNA methylation clocks emerged as a tool to objectively determine biological aging and turned out as a valuable source in search of factors positively and negatively impacting human life span. Moreover, specific epigenetic signatures can be used as biomarkers for age-associated disorders or even as targets for therapeutic approaches, as will be covered in this review. Finally, we summarize recent potential intervention strategies that target epigenetic mechanisms to extend healthy life span and provide an outlook on future developments in the field of longevity research.
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Affiliation(s)
- Anne-Marie Galow
- Institute for Genome Biology, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany
| | - Shahaf Peleg
- Research Group Epigenetics, Metabolism and Longevity, Research Institute for Farm Animal Biology (FBN), 18196 Dummerstorf, Germany
- Institute of Neuroregeneration and Neurorehabilitation of Qingdao University, Qingdao 266071, China
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34
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Malyutina S, Chervova O, Tillmann T, Maximov V, Ryabikov A, Gafarov V, Hubacek JA, Pikhart H, Beck S, Bobak M. The Relationship between Epigenetic Age and Myocardial Infarction/Acute Coronary Syndrome in a Population-Based Nested Case-Control Study. J Pers Med 2022; 12:jpm12010110. [PMID: 35055425 PMCID: PMC8781885 DOI: 10.3390/jpm12010110] [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: 11/16/2021] [Revised: 12/24/2021] [Accepted: 01/10/2022] [Indexed: 02/05/2023] Open
Abstract
We investigated the relationship between ‘epigenetic age’ (EA) derived from DNA methylation (DNAm) and myocardial infarction (MI)/acute coronary syndrome (ACS). A random population sample was examined in 2003/2005 (n = 9360, 45–69, the HAPIEE project) and followed up for 15 years. From this cohort, incident MI/ACS (cases, n = 129) and age- and sex-stratified controls (n = 177) were selected for a nested case-control study. Baseline EA (Horvath’s, Hannum’s, PhenoAge, Skin and Blood) and the differences between EA and chronological age (CA) were calculated (ΔAHr, ΔAHn, ΔAPh, ΔASB). EAs by Horvath’s, Hannum’s and Skin and Blood were close to CA (median absolute difference, MAD, of 1.08, –1.91 and –2.03 years); PhenoAge had MAD of −9.29 years vs. CA. The adjusted odds ratios (ORs) of MI/ACS per 1–year increments of ΔAHr, ΔAHn, ΔASB and ΔAPh were 1.01 (95% CI 0.95–1.07), 1.01 (95% CI 0.95–1.08), 1.02 (95% CI 0.97–1.06) and 1.01 (0.93–1.09), respectively. When classified into tertiles, only the highest tertile of ΔAPh showed a suggestion of increased risk of MI/ACS with OR 2.09 (1.11–3.94) independent of age and 1.84 (0.99–3.52) in the age- and sex-adjusted model. Metabolic modulation may be the likely mechanism of this association. In conclusion, this case-control study nested in a prospective population-based cohort did not find strong associations between accelerated epigenetic age markers and risk of MI/ACS. Larger cohort studies are needed to re-examine this important research question.
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Affiliation(s)
- Sofia Malyutina
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia; (V.M.); (A.R.); (V.G.)
- Correspondence: ; Tel.: +7-913-929-33-63
| | - Olga Chervova
- UCL Cancer Institute, University College London, London WC1E 6BT, UK; (O.C.); (S.B.)
| | - Taavi Tillmann
- Institute for Global Health, University College London, London WC1E 6BT, UK;
| | - Vladimir Maximov
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia; (V.M.); (A.R.); (V.G.)
| | - Andrew Ryabikov
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia; (V.M.); (A.R.); (V.G.)
| | - Valery Gafarov
- Research Institute of Internal and Preventive Medicine-Branch of Institute of Cytology and Genetics SB RAS, 630089 Novosibirsk, Russia; (V.M.); (A.R.); (V.G.)
| | - Jaroslav A. Hubacek
- Experimental Medicine Centre, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic;
| | - Hynek Pikhart
- Institute of Epidemiology and Health Care, University College London, London WC1E 6BT, UK; (H.P.); (M.B.)
| | - Stephan Beck
- UCL Cancer Institute, University College London, London WC1E 6BT, UK; (O.C.); (S.B.)
| | - Martin Bobak
- Institute of Epidemiology and Health Care, University College London, London WC1E 6BT, UK; (H.P.); (M.B.)
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Sallam M, Benotmane MA, Baatout S, Guns PJ, Aerts A. Radiation-induced cardiovascular disease: an overlooked role for DNA methylation? Epigenetics 2022; 17:59-80. [PMID: 33522387 PMCID: PMC8812767 DOI: 10.1080/15592294.2021.1873628] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 11/27/2020] [Accepted: 01/04/2021] [Indexed: 11/25/2022] Open
Abstract
Radiotherapy in cancer treatment involves the use of ionizing radiation for cancer cell killing. Although radiotherapy has shown significant improvements on cancer recurrence and mortality, several radiation-induced adverse effects have been documented. Of these adverse effects, radiation-induced cardiovascular disease (CVD) is particularly prominent among patients receiving mediastinal radiotherapy, such as breast cancer and Hodgkin's lymphoma patients. A number of mechanisms of radiation-induced CVD pathogenesis have been proposed such as endothelial inflammatory activation, premature endothelial senescence, increased ROS and mitochondrial dysfunction. However, current research seems to point to a so-far unexamined and potentially novel involvement of epigenetics in radiation-induced CVD pathogenesis. Firstly, epigenetic mechanisms have been implicated in CVD pathophysiology. In addition, several studies have shown that ionizing radiation can cause epigenetic modifications, especially DNA methylation alterations. As a result, this review aims to provide a summary of the current literature linking DNA methylation to radiation-induced CVD and thereby explore DNA methylation as a possible contributor to radiation-induced CVD pathogenesis.
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Affiliation(s)
- Magy Sallam
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
- Laboratory of Physiopharmacology, University of Antwerp, Wilrijk, Belgium
| | - Mohammed Abderrafi Benotmane
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
| | - Sarah Baatout
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
- Department of Molecular Biotechnology, Ghent University, Ghent, Belgium
| | - Pieter-Jan Guns
- Laboratory of Physiopharmacology, University of Antwerp, Wilrijk, Belgium
| | - An Aerts
- Radiobiology Unit, Institute for Environment, Health and Safety, Belgian Nuclear Research Centre (SCK CEN), Mol, Belgium
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Fontanella RA, Scisciola L, Rizzo MR, Surina S, Sardu C, Marfella R, Paolisso G, Barbieri M. Adiponectin Related Vascular and Cardiac Benefits in Obesity: Is There a Role for an Epigenetically Regulated Mechanism? Front Cardiovasc Med 2021; 8:768026. [PMID: 34869683 PMCID: PMC8639875 DOI: 10.3389/fcvm.2021.768026] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 10/22/2021] [Indexed: 12/23/2022] Open
Abstract
In obesity, several epigenetic modifications, including histones remodeling, DNA methylation, and microRNAs, could accumulate and determine increased expression of inflammatory molecules, the adipokines, that in turn might induce or accelerate the onset and development of cardiovascular and metabolic disorders. In order to better clarify the potential epigenetic mechanisms underlying the modulation of the inflammatory response by adipokines, the DNA methylation profile in peripheral leukocytes of the promoter region of IL-6 and NF-kB genes and plasma miRNA-21 levels were evaluated in 356 healthy subjects, using quantitative pyrosequencing-based analysis, and correlated with plasma adiponectin levels, body fat content and the primary pro-inflammatory markers. In addition, correlation analysis of DNA methylation profiles and miRNA-21 plasma levels with intima-media thickness (IMT), a surrogate marker for early atherosclerosis, left ventricular mass (LVM), left ventricular ejection fraction (LVEF), and cardiac performance index (MPI) was also performed to evaluate any potential clinical implication in terms of cardiovascular outcome. Results achieved confirmed the role of epigenetics in the obesity-related cardiovascular complications and firstly supported the potential role of plasma miRNA-21 and IL-6 and NF-kB DNA methylation changes in nucleated blood cells as potential biomarkers for predicting cardiovascular risk in obesity. Furthermore, our results, showing a role of adiponectin in preventing epigenetic modification induced by increased adipose tissue content in obese subjects, provide new evidence of an additional mechanism underlying the anti-inflammatory properties and the cardiovascular benefits of adiponectin. The exact mechanisms underlying the obesity-related epigenetic modifications found in the blood cells and whether similar epigenetic changes reflect adipose and myocardial tissue modifications need to be further investigated in future experiments.
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Affiliation(s)
- Rosaria Anna Fontanella
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Lucia Scisciola
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Maria Rosaria Rizzo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Surina Surina
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Celestino Sardu
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Raffaele Marfella
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,Mediterrannea Cardiocentro, Naples, Italy
| | - Giuseppe Paolisso
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.,Mediterrannea Cardiocentro, Naples, Italy
| | - Michelangela Barbieri
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
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Miroshnikova VV, Panteleeva AA, Pobozheva IA, Razgildina ND, Polyakova EA, Markov AV, Belyaeva OD, Berkovich OA, Baranova EI, Nazarenko MS, Puzyrev VP, Pchelina SN. ABCA1 and ABCG1 DNA methylation in epicardial adipose tissue of patients with coronary artery disease. BMC Cardiovasc Disord 2021; 21:566. [PMID: 34837967 PMCID: PMC8627066 DOI: 10.1186/s12872-021-02379-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Accepted: 11/10/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND Recent studies have focused on the potential role of epicardial adipose tissue (EAT) in the development of coronary artery disease (CAD). ABCA1 and ABCG1 transporters regulate cell cholesterol content and reverse cholesterol transport. We aimed to determine whether DNA methylation and mRNA levels of the ABCA1 and ABCG1 genes in EAT and subcutaneous adipose tissue (SAT) were associated with CAD. METHODS Paired EAT and SAT samples were collected from 82 patients undergoing elective cardiac surgery either for coronary artery bypass grafting (CAD group, N = 66) or valve surgery (NCAD group, N = 16). ABCA1 and ABCG1 mRNA levels in EAT and SAT samples were analyzed using real time polymerase chain reaction, ABCA1 protein levels in EAT samples were assessed by western blotting. ABCA1 and ABCG1 DNA methylation analysis was performed in 24 samples from the CAD group and 9 samples from the NCAD group via pyrosequencing. RESULTS DNA methylation levels in the ABCA1 promoter and ABCG1 cg27243685 and cg06500161 CpG sites were higher in EAT samples from patients with CAD compared with NCAD (21.92% vs 10.81%, p = 0.003; 71.51% vs 68.42%, p = 0.024; 46.11% vs 37.79%, p = 0.016, respectively). In patients with CAD, ABCA1 and ABCG1 DNA methylation levels were higher in EAT than in SAT samples (p < 0.05). ABCA1 mRNA levels in EAT samples were reduced in the subgroup of patients with CAD and concomitant carotid artery disease or peripheral artery disease compared with the NCAD group (p = 0.024). ABCA1 protein levels in EAT samples tended to be lower in CAD patients than in the NCAD group (p = 0.053). DNA methylation levels at the ABCG1 cg27243685 site positively correlated with plasma triglyceride concentration (r = 0.510, p = 0.008), body mass index (r = 0.556, p = 0.013) and waist-to-hip ratio (r = 0.504, p = 0.012) in SAT samples. CONCLUSION CAD is associated with ABCA1 and ABCG1 DNA hypermethylation in EAT. CAD with concomitant carotid artery disease or peripheral artery disease is accompanied by decreased ABCA1 gene expression in EAT. DNA methylation levels at the ABCG1 cg27243685 locus in SAT are associated with hypertriglyceridemia and obesity.
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Affiliation(s)
- Valentina V Miroshnikova
- Petersburg Nuclear Physics Institute Named By B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russian Federation.
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation.
| | - Alexandra A Panteleeva
- Petersburg Nuclear Physics Institute Named By B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russian Federation
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
- National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Irina A Pobozheva
- Petersburg Nuclear Physics Institute Named By B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russian Federation
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
- National Research Centre "Kurchatov Institute", Moscow, Russia
| | - Natalia D Razgildina
- Petersburg Nuclear Physics Institute Named By B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russian Federation
| | - Ekaterina A Polyakova
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
| | - Anton V Markov
- Laboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk, Russian Federation
| | - Olga D Belyaeva
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
| | - Olga A Berkovich
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
| | - Elena I Baranova
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
| | - Maria S Nazarenko
- Laboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk, Russian Federation
| | - Valery P Puzyrev
- Laboratory of Population Genetics, Research Institute of Medical Genetics, Tomsk, Russian Federation
| | - Sofya N Pchelina
- Petersburg Nuclear Physics Institute Named By B.P. Konstantinov of National Research Center "Kurchatov Institute", Gatchina, Russian Federation
- Pavlov First Saint Petersburg State Medical University, St.-Petersburg, Russian Federation
- National Research Centre "Kurchatov Institute", Moscow, Russia
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Xia Y, Brewer A, Bell JT. DNA methylation signatures of incident coronary heart disease: findings from epigenome-wide association studies. Clin Epigenetics 2021; 13:186. [PMID: 34627379 PMCID: PMC8501606 DOI: 10.1186/s13148-021-01175-6] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Accepted: 09/19/2021] [Indexed: 12/12/2022] Open
Abstract
Coronary heart disease (CHD) is a type of cardiovascular disease (CVD) that affects the coronary arteries, which provide oxygenated blood to the heart. It is a major cause of mortality worldwide. Various prediction methods have been developed to assess the likelihood of developing CHD, including those based on clinical features and genetic variation. Recent epigenome-wide studies have identified DNA methylation signatures associated with the development of CHD, indicating that DNA methylation may play a role in predicting future CHD. This narrative review summarises recent findings from DNA methylation studies of incident CHD (iCHD) events from epigenome-wide association studies (EWASs). The results suggest that DNA methylation signatures may identify new mechanisms involved in CHD progression and could prove a useful adjunct for the prediction of future CHD.
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Affiliation(s)
- Yujing Xia
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, UK
| | - Alison Brewer
- School of Cardiovascular Medicine and Sciences, James Black Centre, King's College London British Heart Foundation Centre of Excellence, 125 Coldharbour Lane, London, SE5 9NU, UK
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, Kings College London, London, SE1 7EH, UK.
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Navas-Acien A, Domingo-Relloso A, Subedi P, Riffo-Campos AL, Xia R, Gomez L, Haack K, Goldsmith J, Howard BV, Best LG, Devereux R, Tauqeer A, Zhang Y, Fretts AM, Pichler G, Levy D, Vasan RS, Baccarelli AA, Herreros-Martinez M, Tang WY, Bressler J, Fornage M, Umans JG, Tellez-Plaza M, Fallin MD, Zhao J, Cole SA. Blood DNA Methylation and Incident Coronary Heart Disease: Evidence From the Strong Heart Study. JAMA Cardiol 2021; 6:1237-1246. [PMID: 34347013 DOI: 10.1001/jamacardio.2021.2704] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance American Indian communities experience a high burden of coronary heart disease (CHD). Strategies are needed to identify individuals at risk and implement preventive interventions. Objective To investigate the association of blood DNA methylation (DNAm) with incident CHD using a large number of methylation sites (cytosine-phosphate-guanine [CpG]) in a single model. Design, Setting, and Participants This prospective study, including a discovery cohort (the Strong Heart Study [SHS]) and 4 additional cohorts (the Women's Health Initiative [WHI], the Framingham Heart Study [FHS], the Atherosclerosis Risk in Communities Study ([ARIC]-Black, and ARIC-White), evaluated 12 American Indian communities in 4 US states; African American women, Hispanic women, and White women throughout the US; White men and White women from Massachusetts; and Black men and women and White men and women from 4 US communities. A total of 2321 men and women (mean [SD] follow-up, 19.1 [9.2] years) were included in the SHS, 1874 women (mean [SD] follow-up, 15.8 [5.9] years) in the WHI, 2128 men and women (mean [SD] follow-up, 7.7 [1.8] years) in the FHS, 2114 men and women (mean [SD] follow-up, 20.9 [7.2] years) in the ARIC-Black, and 931 men and women (mean [SD] follow-up, 20.9 [7.2] years) in the ARIC-White. Data were collected from May 1989 to December 2018 and analyzed from February 2019 to May 2021. Exposure Blood DNA methylation. Main Outcome and Measure Using a high-dimensional time-to-event elastic-net model for the association of 407 224 CpG sites with incident CHD in the SHS (749 events), this study selected the differentially methylated CpG positions (DMPs) selected in the SHS and evaluated them in the WHI (531 events), FHS (143 events), ARIC-Black (350 events), and ARIC-White (121 events) cohorts. Results The median (IQR) age of participants in SHS was 55 (49-62) years, and 1359 participants (58.6%) were women. Elastic-net models selected 505 DMPs associated with incident CHD in the SHS beyond established risk factors, center, blood cell counts, and genetic principal components. Among those DMPs, 33 were commonly selected in 3 or 4 of the other cohorts and the pooled hazard ratios from the standard Cox models were significant at P < .05 for 10 of the DMPs. For example, the hazard ratio (95% CI) for CHD comparing the 90th and 10th percentiles of differentially methylated CpGs was 0.86 (0.78-0.95) for cg16604233 (tagged to COL11A2) and 1.23 (1.08-1.39) for cg09926486 (tagged to FRMD5). Some of the DMPs were consistent in the direction of the association; others showed associations in opposite directions across cohorts. Untargeted independent elastic-net models of CHD showed distinct DMPs, genes, and network of genes in the 5 cohorts. Conclusions and Relevance In this multi-cohort study, blood-based DNAm findings supported an association between a complex blood epigenomic signature and CHD that was largely different across populations.
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Affiliation(s)
- Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Arce Domingo-Relloso
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York.,Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain.,Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Pooja Subedi
- College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville
| | | | - Rui Xia
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston
| | - Lizbeth Gomez
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio
| | - Jeff Goldsmith
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York
| | | | - Lyle G Best
- Missouri Breaks Industries Research Inc, Eagle Butte, South Dakota
| | | | - Ali Tauqeer
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City
| | - Ying Zhang
- Center for American Indian Health Research, Department of Biostatistics and Epidemiology, The University of Oklahoma Health Sciences Center, Oklahoma City
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle
| | - Gernot Pichler
- Department of Cardiology, Heart Center Clinic Floridsdorf, Vienna, Austria
| | - Daniel Levy
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts.,Section of Preventive Medicine and Epidemiology and Section of Cardiovascular Medicine, Department of Medicine, Department of Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
| | - Ramachandran S Vasan
- National Heart, Lung, and Blood Institute's and Boston University's Framingham Heart Study, Framingham, Massachusetts.,Section of Preventive Medicine and Epidemiology and Section of Cardiovascular Medicine, Department of Medicine, Department of Epidemiology, Boston University Schools of Medicine and Public Health, Boston, Massachusetts
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | | | - Wan-Yee Tang
- Department of Occupational and Environmental Health, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston.,Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston
| | - Jason G Umans
- Department of Biostatistics, Columbia University Mailman School of Public Health, New York, New York.,Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - M Daniele Fallin
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland.,Department of Mental Health, Johns Hopkins University, Baltimore, Maryland
| | - Jinying Zhao
- College of Public Health and Health Professions and College of Medicine, University of Florida, Gainesville
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio
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DNA Methylation in Atherosclerosis: A New Perspective. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE 2021; 2021:6623657. [PMID: 34257689 PMCID: PMC8249120 DOI: 10.1155/2021/6623657] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Accepted: 06/08/2021] [Indexed: 01/14/2023]
Abstract
Atherosclerotic cardiovascular diseases, in which atherosclerosis (AS) is the main pathologic basis, are currently the primary diseases leading to human deaths. Emerging evidence showed that DNA methylation, which could affect the transcription and expression of critical regulatory genes, has key roles in AS. Aberrant DNA methylation including aberrant hypomethylation and hypermethylation plays key roles in endothelial-cell dysfunction, macrophage inflammation, abnormal proliferation of vascular smooth muscle cells, plaque rupture, and thrombosis in AS. Chinese herbal medicines, including single compounds and formulations, showed light on the treatment of AS through regulating the aberrant DNA methylation in AS. Targeting the aberrant DNA methylation may be one of the most important treatment strategies in the cure and prevention of AS. In this review, we focus on the relationship between DNA methylation and AS, as well as the beneficial effects of Chinese herbal medicines on DNA methylation in AS.
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Fernández-Sanlés A, Sayols-Baixeras S, Subirana I, Sentí M, Pérez-Fernández S, de Castro Moura M, Esteller M, Marrugat J, Elosua R. DNA methylation biomarkers of myocardial infarction and cardiovascular disease. Clin Epigenetics 2021; 13:86. [PMID: 33883000 PMCID: PMC8061080 DOI: 10.1186/s13148-021-01078-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 04/13/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The epigenetic landscape underlying cardiovascular disease (CVD) is not completely understood and the clinical value of the identified biomarkers is still limited. We aimed to identify differentially methylated loci associated with acute myocardial infarction (AMI) and assess their validity as predictive and causal biomarkers. RESULTS We designed a case-control, two-stage, epigenome-wide association study on AMI (ndiscovery = 391, nvalidation = 204). DNA methylation was assessed using the Infinium MethylationEPIC BeadChip. We performed a fixed-effects meta-analysis of the two samples. 34 CpGs were associated with AMI. Only 12 of them were available in two independent cohort studies (n ~ 1800 and n ~ 2500) with incident coronary and cardiovascular disease (CHD and CVD, respectively). The Infinium HumanMethylation450 BeadChip was used in those two studies. Four of the 12 CpGs were validated in association with incident CHD: AHRR-mapping cg05575921, PTCD2-mapping cg25769469, intergenic cg21566642 and MPO-mapping cg04988978. We then assessed whether methylation risk scores based on those CpGs improved the predictive capacity of the Framingham risk function, but they did not. Finally, we aimed to study the causality of those associations using a Mendelian randomization approach but only one of the CpGs had a genetic influence and therefore the results were not conclusive. CONCLUSIONS We have identified 34 CpGs related to AMI. These loci highlight the relevance of smoking, lipid metabolism, and inflammation in the biological mechanisms related to AMI. Four were additionally associated with incident CHD and CVD but did not provide additional predictive information.
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Affiliation(s)
- Alba Fernández-Sanlés
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain.,Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain.,Medical Research Council (MRC) Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Sergi Sayols-Baixeras
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain.,CIBER Cardiovascular Diseases (CIBERCV), Madrid, Spain.,Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - Isaac Subirana
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain.,CIBER Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Mariano Sentí
- Pompeu Fabra University (UPF), Barcelona, Catalonia, Spain
| | - S Pérez-Fernández
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain.,CIBER Cardiovascular Diseases (CIBERCV), Madrid, Spain
| | | | - Manel Esteller
- Josep Carreras Leukaemia Research Institute (IJC), Badalona, Catalonia, Spain.,CIBER Oncology (CIBERONC), Madrid, Spain.,Catalan Institution for Research and Advanced Studies (ICREA), Barcelona, Catalonia, Spain.,Physiological Sciences Department, School of Medicine and Health Sciences, University of Barcelona (UB), Barcelona, Catalonia, Spain
| | - Jaume Marrugat
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain.,CIBER Cardiovascular Diseases (CIBERCV), Madrid, Spain
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Research Group, REGICOR Study Group, IMIM (Hospital del Mar Medical Research Institute), Dr Aiguader 88, 08003, Barcelona, Catalonia, Spain. .,CIBER Cardiovascular Diseases (CIBERCV), Madrid, Spain. .,Medicine Department, Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Catalonia, Spain.
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Esmaeili F, Mansouri E, Emami MA, Montazerghaem H, Hosseini Teshnizi S, Kheirandish M, Koochakkhani S, Eftekhar E. Association of Serum Level and DNA Methylation Status of Brain-Derived Neurotrophic Factor with the Severity of Coronary Artery Disease. Indian J Clin Biochem 2021; 37:159-168. [PMID: 35463104 PMCID: PMC8993966 DOI: 10.1007/s12291-021-00974-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 04/03/2021] [Indexed: 11/25/2022]
Abstract
New investigations suggest a pivotal role of brain-derived neurotrophic factor (BDNF) in cardiovascular homeostasis. However, no data could indicate the association between BDNF methylation status and the risk of coronary artery disease (CAD). The aim of the present study was to assess the association of BDNF methylation status and its serum level with the severity of CAD. According to the angiography report, a total of 84 non-diabetic CAD patients with at least 50% stenosis in one of the major coronary arteries were selected as the CAD group. For comparison, 62 angiographically proven non-CAD participants were selected as control. Additionally, subjects were categorized according to the Gensini Scoring system. Blood sample was used for genomic DNA isolation. Methylation status of the BDNF gene in exonic region was determined using the MS-PCR method and serum BDNF levels were measured with ELISA. BDNF gene methylation was significantly higher in the CAD group than in the non-CAD group. After adjustment for confounding factors, BDNF gene hypermethylation increases the risk of CAD in the total population (OR = 2.769; 95% CI, 1.033-7.423; P = 0.043). BDNF gene hypermethylation was higher in patients with severe CAD than patients with mild CAD. Additionally, the serum BDNF level was not different from non-diabetic CAD and control groups. Our findings indicate that BDNF hypermethylation was associated with an increased risk of CAD, which may help identify subjects being at the risk of developing CAD. In addition, BDNF hypermethylation shows a significant correlation with the severity of CAD.
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Affiliation(s)
- Fataneh Esmaeili
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
- Department of Clinical Biochemistry, Faculty of Medicine, Tehran University of Medical Sciences, Tehran, Iran
| | - Elaheh Mansouri
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Mohammad Amin Emami
- Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Hossein Montazerghaem
- Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Saeed Hosseini Teshnizi
- Social Determinants in Health Promotion Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Masoumeh Kheirandish
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Jomhori St, 7919915519 Bandar Abbas, Iran
| | - Shabnaz Koochakkhani
- Molecular Medicine Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | - Ebrahim Eftekhar
- Endocrinology and Metabolism Research Center, Hormozgan University of Medical Sciences, Jomhori St, 7919915519 Bandar Abbas, Iran
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Palou-Márquez G, Subirana I, Nonell L, Fernández-Sanlés A, Elosua R. DNA methylation and gene expression integration in cardiovascular disease. Clin Epigenetics 2021; 13:75. [PMID: 33836805 PMCID: PMC8034168 DOI: 10.1186/s13148-021-01064-y] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2021] [Accepted: 03/29/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The integration of different layers of omics information is an opportunity to tackle the complexity of cardiovascular diseases (CVD) and to identify new predictive biomarkers and potential therapeutic targets. Our aim was to integrate DNA methylation and gene expression data in an effort to identify biomarkers related to cardiovascular disease risk in a community-based population. We accessed data from the Framingham Offspring Study, a cohort study with data on DNA methylation (Infinium HumanMethylation450 BeadChip; Illumina) and gene expression (Human Exon 1.0 ST Array; Affymetrix). Using the MOFA2 R package, we integrated these data to identify biomarkers related to the risk of presenting a cardiovascular event. RESULTS Four independent latent factors (9, 19, 21-only in women-and 27), driven by DNA methylation, were associated with cardiovascular disease independently of classical risk factors and cell-type counts. In a sensitivity analysis, we also identified factor 21 as associated with CVD in women. Factors 9, 21 and 27 were also associated with coronary heart disease risk. Moreover, in a replication effort in an independent study three of the genes included in factor 27 were also present in a factor identified to be associated with myocardial infarction (CDC42BPB, MAN2A2 and RPTOR). Factor 9 was related to age and cell-type proportions; factor 19 was related to age and B cells count; factor 21 pointed to human immunodeficiency virus infection-related pathways and inflammation; and factor 27 was related to lifestyle factors such as alcohol consumption, smoking and body mass index. Inclusion of factor 21 (only in women) improved the discriminative and reclassification capacity of the Framingham classical risk function and factor 27 improved its discrimination. CONCLUSIONS Unsupervised multi-omics data integration methods have the potential to provide insights into the pathogenesis of cardiovascular diseases. We identified four independent factors (one only in women) pointing to inflammation, endothelium homeostasis, visceral fat, cardiac remodeling and lifestyles as key players in the determination of cardiovascular risk. Moreover, two of these factors improved the predictive capacity of a classical risk function.
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Affiliation(s)
- Guillermo Palou-Márquez
- Cardiovascular Epidemiology and Genetics Research Group, Hospital del Mar Medical Research Institute (IMIM), Dr Aiguader 88, 08003, Barcelona, Spain
- Pompeu Fabra University (UPF), Barcelona, Spain
- Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute of Science and Technology, Barcelona, Spain
| | - Isaac Subirana
- Cardiovascular Epidemiology and Genetics Research Group, Hospital del Mar Medical Research Institute (IMIM), Dr Aiguader 88, 08003, Barcelona, Spain
- CIBER Epidemiology and Public Health (CIBERESP), Barcelona, Spain
| | - Lara Nonell
- MARGenomics, Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Alba Fernández-Sanlés
- Cardiovascular Epidemiology and Genetics Research Group, Hospital del Mar Medical Research Institute (IMIM), Dr Aiguader 88, 08003, Barcelona, Spain
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Research Group, Hospital del Mar Medical Research Institute (IMIM), Dr Aiguader 88, 08003, Barcelona, Spain.
- CIBER Cardiovascular Diseases (CIBERCV), Barcelona, Spain.
- Medicine Department, Faculty of Medicine, University of Vic-Central University of Catalonia (UVic-UCC), Vic, Spain.
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An F, Liu C, Wang X, Li T, Fu H, Bao B, Cong H, Zhao J. Effect of ABCA1 promoter methylation on premature coronary artery disease and its relationship with inflammation. BMC Cardiovasc Disord 2021; 21:78. [PMID: 33557767 PMCID: PMC7869242 DOI: 10.1186/s12872-021-01894-x] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Accepted: 01/22/2021] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND ATP-binding cassette transporter A1 (ABCA1) plays a major role in high-density lipoprotein (HDL) metabolism and reverse cholesterol transport (RCT) and exerts anti-inflammatory effects. Increased ABCA1 promoter methylation level may result in the progression of coronary artery disease. Thus, the present study investigated the association between promoter methylation status of ABCA1 and inflammation in the development of premature coronary artery disease (pCAD). METHODS PCAD patients and healthy individuals (n = 90 each) were recruited from the Characteristic Medical Center of the Chinese People's Armed Police Force from June to December 2019. Using pyrosequencing, the levels of ABCA1 promoter methylation in their blood samples were evaluated. Serum concentrations of lipids, interleukin 1β (IL-1β), C-reactive protein (CRP), and circulating free DNA/Neutrophil extracellular traps (cfDNA/NETs) were also routinely measured and compared between the two groups. P values < 0.05 were considered statistically significant. RESULTS The mean ABCA1 promoter methylation levels were significantly higher in the pCAD group than in the control group (44.24% ± 3.66 vs. 36.05% ± 2.99, P < 0.001). Based on binary logistic regression analysis, ABCA1 promoter methylation level was identified as an independent risk factor for pCAD development (odds ratio = 2.878, 95% confidence interval: 1.802-4.594, P < 0.001). Furthermore, ABCA1 promoter methylation levels were negatively correlated with HDL levels (r = - 0.488, P < 0.001) and positively correlated with the levels of CRP, cfDNA/NETs, and IL-1β (r = 0.389, 0.404, 0.385, respectively; P < 0.001). Multiple regression analysis showed that the serum levels of CRP, IL-1β, and cfDNA/NETs independently affect ABCA1 promoter methylation. CONCLUSIONS Our findings indicate that high methylation levels at the ABCA1 promoter are associated with low HDL cholesterol levels and an increased risk of pCAD. Inflammatory factors and NETs may be involved in the progression of pCAD by affecting ABCA1 promoter methylation levels.
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Affiliation(s)
- Fang An
- Graduate School, Tianjin Medical University, Tianjin, 300070, China.,Department of Military General Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Chao Liu
- Institute of Cardiovascular disease, Tianjin Chest Hospital, Tianjin, 300222, China
| | - Xiujuan Wang
- Institute of Cardiovascular Disease, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Tan Li
- Department of Pathogen Biology, Logistics University of Chinese People's Armed Police Force, Tianjin, 300309, China
| | - Hao Fu
- Department of Military General Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Buhe Bao
- Department of Clinical Laboratory, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China
| | - Hongliang Cong
- Institute of Cardiovascular disease, Tianjin Chest Hospital, Tianjin, 300222, China. .,Department of Cardiology, Tianjin Chest Hospital, Tianjin, 300222, China.
| | - Jihong Zhao
- Department of Military General Medicine, Characteristic Medical Center of Chinese People's Armed Police Force, Tianjin, 300162, China.
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Natarajan R. Epigenetic Mechanisms in Diabetic Vascular Complications and Metabolic Memory: The 2020 Edwin Bierman Award Lecture. Diabetes 2021; 70:328-337. [PMID: 33472942 PMCID: PMC7881871 DOI: 10.2337/dbi20-0030] [Citation(s) in RCA: 52] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2020] [Accepted: 10/16/2020] [Indexed: 12/18/2022]
Abstract
Macrovascular complications such as atherosclerosis, myocardial infarction and stroke, and microvascular complications such as nephropathy, retinopathy, and neuropathy are the major causes of increased morbidity and mortality in both type 1 and type 2 diabetes. Increased inflammation, oxidative stress, and fibrosis are common features in most diabetes complications. Although extensive studies have examined the biochemical pathways leading to the expression of inflammatory, profibrotic, and other pathological genes, as well as genetic factors related to diabetes and associated complications, much less is known about the contribution of epigenetic changes that occur without alterations in the DNA sequence. Environmental factors, lifestyles, and improper diet implicated in diabetes can affect epigenetic states. Epigenetic modifications, including DNA methylation and histone modifications, can alter gene transcription in response to environmental stimuli and cooperate with noncoding RNAs. These epigenetic modifications have been observed in various target cells under diabetic conditions. Moreover, epigenetics has also been implicated in the phenomenon of metabolic memory observed in clinic trials and animal studies, in which prior episodes of poor glycemic control can confer continued risk of complications despite subsequent glucose normalization. Epigenome-wide association studies in cohorts with diabetes are uncovering epigenotype variations that provide new insights into diabetic vascular complications. Here, I discuss the role of epigenetics and noncoding RNAs in diabetes complications and metabolic memory, and their translation potential to serve as biomarkers and drug targets to improve clinical management of diabetic vascular complications.
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Affiliation(s)
- Rama Natarajan
- Department of Diabetes and Metabolic Diseases Research, Diabetes Metabolic Research Institute, Beckman Research Institute of City of Hope, Duarte, CA
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46
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Sumi MP, Mahajan B, Sattar RSA, Nimisha, Apurva, Kumar A, Sharma AK, Ahmad E, Ali A, Saluja SS. Elucidation of Epigenetic Landscape in Coronary Artery Disease: A Review on Basic Concept to Personalized Medicine. Epigenet Insights 2021; 14:2516865720988567. [PMID: 33598635 PMCID: PMC7863167 DOI: 10.1177/2516865720988567] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Accepted: 12/26/2020] [Indexed: 12/11/2022] Open
Abstract
Despite extensive clinical research and management protocols applied in the field of coronary artery diseases (CAD), it still holds the number 1 position in mortality worldwide. This indicates that we need to work on precision medicine to discover the diagnostic, therapeutic, and prognostic targets to improve the outcome of CAD. In precision medicine, epigenetic changes play a vital role in disease onset and progression. Epigenetics is the study of heritable changes that do not affect the alterations of DNA sequence in the genome. It comprises various covalent modifications that occur in DNA or histone proteins affecting the spatial arrangement of the DNA and histones. These multiple modifications include DNA/histone methylation, acetylation, phosphorylation, and SUMOylation. Besides these covalent modifications, non-coding RNAs-viz. miRNA, lncRNA, and circRNA are also involved in epigenetics. Smoking, alcohol, diet, environmental pollutants, obesity, and lifestyle are some of the prime factors affecting epigenetic alterations. Novel molecular techniques such as next-generation sequencing, chromatin immunoprecipitation, and mass spectrometry have been developed to identify important cross points in the epigenetic web in relation to various diseases. The studies regarding exploration of epigenetics, have led researchers to identify multiple diagnostic markers and therapeutic targets that are being used in different disease diagnosis and management. Here in this review, we will discuss various ground-breaking contributions of past and recent studies in the epigenetic field in concert with coronary artery diseases. Future prospects of epigenetics and its implication in CAD personalized medicine will also be discussed in brief.
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Affiliation(s)
- Mamta P Sumi
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Bhawna Mahajan
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
- Department of Biochemistry, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Real Sumayya Abdul Sattar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Nimisha
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Apurva
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Arun Kumar
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Abhay Kumar Sharma
- Department of Biochemistry, All India Institute of Medical Science, Patna, Bihar, India
| | - Ejaz Ahmad
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
| | - Asgar Ali
- Department of Biochemistry, All India Institute of Medical Science, Patna, Bihar, India
| | - Sundeep Singh Saluja
- Central Molecular Laboratory, Govind Ballabh Pant Institute of Post Graduate Medical Education and Research (GIPMER), University of Delhi, New Delhi, India
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Jiang S, Cai Q, Zhang D, Fan J, Hu S, Venners SA. Effect of ABCG1 gene DNA methylations on the lipid-lowering efficacy of simvastatin. Pharmacogenomics 2020; 22:27-39. [PMID: 33356546 DOI: 10.2217/pgs-2020-0068] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: We investigated the effect of ABCG1 gene DNA methylation in the lipid-lowering efficacy of simvastatin. Materials & methods: An extreme sampling approach was used to select 211 individuals from the top and bottom 15% of adjusted lipid-lowering response residuals to simvastatin after eight consecutive weeks. DNA methylation was measured before treatment by the MethylTarget bisulfite sequencing method. Results: ABCG1_A DNA methylations were negatively associated with baseline high-density lipoprotein cholesterol (HDL-C) and the change in HDL-C after treatment. ABCG1_C methylations were also related to the change in triglyceride and HDL-C. Moreover, mean ABCG1_A and ABCG1_C methylations explain 7.2% of the ΔTC (total cholesterol) and 17.5% of the ΔHDL-C level variability, respectively. Conclusion: DNA methylations at the ABCG1 gene play significant inhibitory effects in the lipid-lowering therapy of simvastatin.
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Affiliation(s)
- Shanqun Jiang
- School of Life Sciences, Anhui University, Hefei, 230601, China.,Institute of Physical Science & Information Technology, Anhui University, Hefei, 230601, China.,Institute of Biomedicine, Anhui Medical University, Hefei, 230032, China
| | - Qianru Cai
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Di Zhang
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Juanlin Fan
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Shengnan Hu
- School of Life Sciences, Anhui University, Hefei, 230601, China
| | - Scott A Venners
- Faculty of Health Sciences, Simon Fraser University, Burnaby, BC V5A1S6, Canada
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48
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Lin CY, Lee HL, Hwang YT, Huang PC, Wang C, Sung FC, Wu C, Su TC. Urinary heavy metals, DNA methylation, and subclinical atherosclerosis. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 204:111039. [PMID: 32738627 DOI: 10.1016/j.ecoenv.2020.111039] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/18/2020] [Revised: 07/05/2020] [Accepted: 07/13/2020] [Indexed: 06/11/2023]
Abstract
PURPOSE Lead (Pb) or cadmium (Cd) exposure has been linked to atherosclerosis. Co-exposure of these two heavy metals often occurs in humans. Recent evidence has indicated a crucial role of DNA methylation in atherosclerosis, while Pb or Cd exposure has also been shown to alter DNA methylation. However, it is still unknown whether DNA methylation plays a role in the pathological mechanism of these two heavy metals in atherosclerosis. APPROACH AND RESULTS We enrolled 738 participants (12-30 years) to investigate the association among concentrations of urine Pb or Cd, the 5mdC/dG value (a global DNA methylation marker) and the carotid intima-media thickness (CIMT). When each heavy metal was modeled separately, the results showed urine Pb and Cd concentrations were positively associated with the 5mdC/dG value and CIMT, respectively. When the two heavy metals were analyzed in the same model, urinary Pb concentrations were positively associated with the 5mdC/dG value and CIMT, while urinary Cd concentrations were only positively associated with the CIMT. When Pb and Cd are simultaneously considered in the same logistic regression model, the odds ratios (OR) of thicker CIMT (greater than 75th percentile) with one unit increase in ln-Pb level was 1.67 (95% C.I. = 1.17-2.46, P = 0.005) when levels of 5mdC/dG were above 50th percentile, which is higher than 5mdC/dG bellow the 50th percentile (OR = 1.50 (95% C.I. = 0.96-2.35), P = 0.076). In structural equation model (SEM), Pb or Cd levels are directly associated with CIMT. Moreover, Pb or Cd had an indirect association with CIMT through the 5mdC/dG. When we considered Pb and Cd together, Pb levels had a direct association with CIMT and an indirect association with CIMT through the 5mdC/dG value, while Cd only had a direct association with CIMT. CONCLUSIONS Our findings imply that Pb and Cd exposure might be associated with subclinical atherosclerosis, and global DNA methylation might mediate Pb-associated subclinical atherosclerosis in this young population. Future effort is necessary to elucidate the causal relationship.
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Affiliation(s)
- Chien-Yu Lin
- Department of Internal Medicine, En Chu Kong Hospital, New Taipei City, 237, Taiwan; School of Medicine, Fu Jen Catholic University, New Taipei City, 242, Taiwan; Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu, 300, Taiwan.
| | - Hui-Ling Lee
- Department of Chemistry, Fu Jen Catholic University, New Taipei City, 242, Taiwan
| | - Yi-Ting Hwang
- Department of Statistics, National Taipei University, New Taipei City, 237, Taiwan
| | - Po-Chin Huang
- National Institute of Environmental Health Sciences, National Health Research Institutes, Miaoli, 350, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, 404, Taiwan
| | - Chikang Wang
- Department of Environmental Engineering and Health, Yuanpei University of Medical Technology, Hsinchu, 300, Taiwan
| | - Fung-Chang Sung
- Department of Health Services Administration, College of Public Health, China Medical University, Taichung, 404, Taiwan
| | - Charlene Wu
- Global Health Program, National Taiwan University, College of Public Health, 10055, Taiwan
| | - Ta-Chen Su
- Department of Environmental and Occupational Medicine, National Taiwan University Hospital, Taipei, 100, Taiwan; Division of Cardiology, Department of Internal Medicine, National Taiwan University Hospital, Taipei, 100, Taiwan; Institute of Environmental and Occupational Health Sciences, College of Public Health, National Taiwan University, Taipei, 100, Taiwan.
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Zhang C, Han B, Xu T, Li D. The biological function and potential mechanism of long non-coding RNAs in cardiovascular disease. J Cell Mol Med 2020; 24:12900-12909. [PMID: 33052009 PMCID: PMC7701533 DOI: 10.1111/jcmm.15968] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 09/20/2020] [Accepted: 09/22/2020] [Indexed: 12/14/2022] Open
Abstract
Long non-coding RNAs (lncRNAs), as part of the family of non-protein-coding transcripts, are implicated in the occurrence and progression of several cardiovascular diseases (CVDs). With recent advances in lncRNA research, these molecules are purported to regulate gene expression at multiple levels, thereby producing beneficial or detrimental biological effects during CVD pathogenesis. At the transcriptional level, lncRNAs affect gene expression by interacting with DNA and proteins, for example, components of chromatin-modifying complexes, or transcription factors affecting chromatin status. These potential mechanisms suggest that lncRNAs guide proteins to specific gene loci (eg promoter regions), or forestall proteins to specific genomic sites via DNA binding. Additionally, some lncRNAs are required for correct chromatin conformation, which occurs via chromatin looping in enhancer-like models. At the post-transcriptional level, lncRNAs interact with RNA molecules, mainly microRNAs (miRNAs) and mRNAs, potentially regulating CVD pathophysiological processes. Moreover, lncRNAs appear to post-transcriptionally modulate gene expression by participating in mRNA splicing, stability, degradation and translation. Thus, the purpose of this review is to provide a comprehensive summary of lncRNAs implicated in CVD biological processes, with an emphasis on potential mechanisms of action.
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Affiliation(s)
- Chengmeng Zhang
- Institute of Cardiovascular Disease Research, Xuzhou Medical University, Xuzhou, China
| | - Bing Han
- Department of Cardiology, Xuzhou Central Hospital, Xuzhou, China
| | - Tongda Xu
- Department of Cardiology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, China
| | - Dongye Li
- Institute of Cardiovascular Disease Research, Xuzhou Medical University, Xuzhou, China
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Ambrosini S, Mohammed SA, Costantino S, Paneni F. Disentangling the epigenetic landscape in cardiovascular patients: a path toward personalized medicine. Minerva Cardiol Angiol 2020; 69:331-345. [PMID: 32996305 DOI: 10.23736/s2724-5683.20.05326-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
Despite significant advances in our understanding of cardiovascular disease (CVD) we are still far from having developed breakthrough strategies to combat coronary atherosclerosis and heart failure, which account for most of CV deaths worldwide. Available cardiovascular therapies have failed to show to be equally effective in all patients, suggesting that inter-individual diversity is an important factor when it comes to conceive and deliver effective personalized treatments. Genome mapping has proved useful in identifying patients who could benefit more from specific drugs depending on genetic variances; however, our genetic make-up determines only a limited part of an individual's risk profile. Recent studies have demonstrated that epigenetic changes - defined as dynamic changes of DNA and histones which do not affect DNA sequence - are key players in the pathophysiology of cardiovascular disease and may participate to delineate cardiovascular risk trajectories over the lifetime. Epigenetic modifications include changes in DNA methylation, histone modifications and non-coding RNAs and these epigenetic signals have shown to cooperate in modulating chromatin accessibility to transcription factors and gene expression. Environmental factors such as air pollution, smoking, psychosocial context, and unhealthy diet regimens have shown to significantly modify the epigenome thus leading to altered transcriptional programs and CVD phenotypes. Therefore, the integration of genetic and epigenetic information might be invaluable to build individual maps of cardiovascular risk and hence, could be employed for the design of customized diagnostic and therapeutic strategies. In the present review, we discuss the growing importance of epigenetic information and its putative implications in cardiovascular precision medicine.
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Affiliation(s)
- Samuele Ambrosini
- Center for Molecular Cardiology, University of Zürich, Zurich, Switzerland
| | - Shafeeq A Mohammed
- Center for Molecular Cardiology, University of Zürich, Zurich, Switzerland
| | - Sarah Costantino
- Center for Molecular Cardiology, University of Zürich, Zurich, Switzerland
| | - Francesco Paneni
- Center for Molecular Cardiology, University of Zürich, Zurich, Switzerland - .,Department of Cardiology, University Heart Center, University Hospital Zurich, Zurich, Switzerland.,Department of Research and Education, University Hospital Zurich, Zurich, Switzerland
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