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Banerjee S, Paradkar MU, Ponde CK, Rajani RM, Pillai S, Ashavaid TF. Does epigenetic markers of HLA gene show association with coronary artery disease in Indian subjects? Mol Biol Rep 2024; 51:173. [PMID: 38252175 DOI: 10.1007/s11033-023-08974-5] [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: 09/04/2023] [Accepted: 10/23/2023] [Indexed: 01/23/2024]
Abstract
BACKGROUND DNA methylation, one of the most stable forms of epigenetic modification is associated with the development and progression of coronary artery disease (CAD). Our previously reported study on epigenome-wide microarray analysis showed significantly methylated CpG sites. Top 5 significant CpGs from HLA gene were selected and analysed by Pyrosequencing (PSQ) to determine their association with severity of CAD. METHODS Blood samples of 50-age matched angiographically CAD positive male cases with 50 angiographically CAD negative male controls were subjected to lipid profile estimation and PSQ for methylation level analysis. Findings and subgroup analysis were evaluated by Mann-Whitney U; Kruskal-Wallis' rank test and two-way ANOVA by MedCalc (v19.6). RESULTS Methylation levels in HLA-DQA1 for cg10217052 was 78.5 (37-85) and 76.5 (24-84); cg09411910 was 81 (72.0 to 93.0) and 81.5 (50.0 to 89.0) in cases and controls respectively. Levels in HLA-DQB1-cg03344051, were 28.88 + 9.41 for cases and 30.36 + 9.37 in controls. For HLA-DRB1-cg07889003, levels in cases and controls were 15.5 (5.00-39.00) and 10.5 (5.00-29.0); while in cg08269402 were 52 (16-65) and 42.5 (17-61) respectively. No association was observed between methylation levels and lipid profile. cg03344051, cg07889003 and cg08269402 were significantly differentiated in double or triple vessel disease (DVD or TVD) as compared to single vessel disease (SVD) suggesting an increase in the extent of methylation with the increase in CAD severity. CONCLUSION The present study shows significant increase in the extent of methylation in 3 CpG sites in DVD/TVD cases as compared to SVD cases. Additionally, a novel site, cg07889003 identified in our discovery phase has shown association with the severity of CAD.
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Affiliation(s)
- Shyamashree Banerjee
- Research Laboratories, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India
| | - Minal U Paradkar
- Research Laboratories, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India
- Department of Biochemistry, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India
| | | | - Rajesh M Rajani
- Department of Cardiology, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India
| | - Sudhir Pillai
- Department of Cardiology, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India
| | - Tester F Ashavaid
- Research Laboratories, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India.
- Department of Biochemistry, P.D Hinduja Hospital & Medical Research Centre, Mumbai, India.
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Zelows MM, Cady C, Dharanipragada N, Mead AE, Kipp ZA, Bates EA, Varadharajan V, Banerjee R, Park SH, Shelman NR, Clarke HA, Hawkinson TR, Medina T, Sun RC, Lydic TA, Hinds TD, Brown JM, Softic S, Graf GA, Helsley RN. Loss of carnitine palmitoyltransferase 1a reduces docosahexaenoic acid-containing phospholipids and drives sexually dimorphic liver disease in mice. Mol Metab 2023; 78:101815. [PMID: 37797918 PMCID: PMC10568566 DOI: 10.1016/j.molmet.2023.101815] [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] [Received: 08/18/2023] [Revised: 09/22/2023] [Accepted: 09/28/2023] [Indexed: 10/07/2023] Open
Abstract
BACKGROUND AND AIMS Genome and epigenome wide association studies identified variants in carnitine palmitoyltransferase 1a (CPT1a) that associate with lipid traits. The goal of this study was to determine the role of liver-specific CPT1a on hepatic lipid metabolism. APPROACH AND RESULTS Male and female liver-specific knockout (LKO) and littermate controls were placed on a low-fat or high-fat diet (60% kcal fat) for 15 weeks. Mice were necropsied after a 16 h fast, and tissues were collected for lipidomics, matrix-assisted laser desorption ionization mass spectrometry imaging, kinome analysis, RNA-sequencing, and protein expression by immunoblotting. Female LKO mice had increased serum alanine aminotransferase levels which were associated with greater deposition of hepatic lipids, while male mice were not affected by CPT1a deletion relative to male control mice. Mice with CPT1a deletion had reductions in DHA-containing phospholipids at the expense of monounsaturated fatty acids (MUFA)-containing phospholipids in whole liver and at the level of the lipid droplet (LD). Male and female LKO mice increased RNA levels of genes involved in LD lipolysis (Plin2, Cidec, G0S2) and in polyunsaturated fatty acid metabolism (Elovl5, Fads1, Elovl2), while only female LKO mice increased genes involved in inflammation (Ly6d, Mmp12, Cxcl2). Kinase profiling showed decreased protein kinase A activity, which coincided with increased PLIN2, PLIN5, and G0S2 protein levels and decreased triglyceride hydrolysis in LKO mice. CONCLUSIONS Liver-specific deletion of CPT1a promotes sexually dimorphic steatotic liver disease (SLD) in mice, and here we have identified new mechanisms by which females are protected from HFD-induced liver injury.
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Affiliation(s)
- Mikala M Zelows
- Department of Pharmaceutical Sciences, University of Kentucky College of Pharmacy, Lexington, KY, USA
| | - Corissa Cady
- Department of Physiology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Nikitha Dharanipragada
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Anna E Mead
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Zachary A Kipp
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Evelyn A Bates
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA
| | | | - Rakhee Banerjee
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Se-Hyung Park
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA; Department of Pediatrics and Gastroenterology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Nathan R Shelman
- Department of Pathology and Laboratory Medicine, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Harrison A Clarke
- Department of Biochemistry & Molecular Biology, University of Florida College of Medicine, Gainesville, FL, USA; Center for Advanced Spatial Biomolecule Research, University of Florida College of Medicine, Gainesville, FL, USA
| | - Tara R Hawkinson
- Department of Biochemistry & Molecular Biology, University of Florida College of Medicine, Gainesville, FL, USA; Center for Advanced Spatial Biomolecule Research, University of Florida College of Medicine, Gainesville, FL, USA
| | - Terrymar Medina
- Department of Biochemistry & Molecular Biology, University of Florida College of Medicine, Gainesville, FL, USA; Center for Advanced Spatial Biomolecule Research, University of Florida College of Medicine, Gainesville, FL, USA
| | - Ramon C Sun
- Department of Biochemistry & Molecular Biology, University of Florida College of Medicine, Gainesville, FL, USA; Center for Advanced Spatial Biomolecule Research, University of Florida College of Medicine, Gainesville, FL, USA
| | - Todd A Lydic
- Department of Physiology, Michigan State University, East Lansing, MI, USA
| | - Terry D Hinds
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA; Barnstable Brown Diabetes Center, University of Kentucky College of Medicine, Lexington, KY, USA; Markey Cancer Center, University of Kentucky College of Medicine, Lexington, KY, USA
| | - J Mark Brown
- Department of Cancer Biology, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Samir Softic
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA; Department of Pediatrics and Gastroenterology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Gregory A Graf
- Department of Physiology, University of Kentucky College of Medicine, Lexington, KY, USA; Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA
| | - Robert N Helsley
- Department of Pharmacology and Nutritional Sciences, University of Kentucky College of Medicine, Lexington, KY, USA; Barnstable Brown Diabetes Center, University of Kentucky College of Medicine, Lexington, KY, USA; Markey Cancer Center, University of Kentucky College of Medicine, Lexington, KY, USA; Saha Cardiovascular Research Center, University of Kentucky, Lexington, KY, USA; Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, University of Kentucky College of Medicine, Lexington, KY, USA.
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Bergonzini M, Loreni F, Lio A, Russo M, Saitto G, Cammardella A, Irace F, Tramontin C, Chello M, Lusini M, Nenna A, Ferrisi C, Ranocchi F, Musumeci F. Panoramic on Epigenetics in Coronary Artery Disease and the Approach of Personalized Medicine. Biomedicines 2023; 11:2864. [PMID: 37893238 PMCID: PMC10604795 DOI: 10.3390/biomedicines11102864] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 10/02/2023] [Accepted: 10/10/2023] [Indexed: 10/29/2023] Open
Abstract
Epigenetic modifications play a fundamental role in the progression of coronary artery disease (CAD). This panoramic review aims to provide an overview of the current understanding of the epigenetic mechanisms involved in CAD pathogenesis and highlights the potential implications for personalized medicine approaches. Epigenetics is the study of heritable changes that do not influence alterations in the DNA sequence of the genome. It has been shown that epigenetic processes, including DNA/histone methylation, acetylation, and phosphorylation, play an important role. Additionally, miRNAs, lncRNAs, and circRNAs are also involved in epigenetics, regulating gene expression patterns in response to various environmental factors and lifestyle choices. In the context of CAD, epigenetic alterations contribute to the dysregulation of genes involved in inflammation, oxidative stress, lipid metabolism, and vascular function. These epigenetic changes can occur during early developmental stages and persist throughout life, predisposing individuals to an increased risk of CAD. Furthermore, in recent years, the concept of personalized medicine has gained significant attention. Personalized medicine aims to tailor medical interventions based on an individual's unique genetic, epigenetic, environmental, and lifestyle factors. In the context of CAD, understanding the interplay between genetic variants and epigenetic modifications holds promise for the development of more precise diagnostic tools, risk stratification models, and targeted therapies. This review summarizes the current knowledge of epigenetic mechanisms in CAD and discusses the fundamental principles of personalized medicine.
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Affiliation(s)
- Marcello Bergonzini
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Francesco Loreni
- Cardiac Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Antonio Lio
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Marco Russo
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Guglielmo Saitto
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Antonio Cammardella
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Francesco Irace
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Corrado Tramontin
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Massimo Chello
- Cardiac Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Mario Lusini
- Cardiac Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Antonio Nenna
- Cardiac Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Chiara Ferrisi
- Cardiac Surgery, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
| | - Federico Ranocchi
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
| | - Francesco Musumeci
- Department of Cardiac Surgery and Heart Transplantation, San Camillo Forlanini Hospital, 00152 Rome, Italy
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Liu D, Aziz NA, Landstra EN, Breteler MMB. The lipidomic correlates of epigenetic aging across the adult lifespan: A population-based study. Aging Cell 2023; 22:e13934. [PMID: 37496173 PMCID: PMC10497837 DOI: 10.1111/acel.13934] [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: 04/03/2023] [Revised: 07/05/2023] [Accepted: 07/07/2023] [Indexed: 07/28/2023] Open
Abstract
Lipid signaling is involved in longevity regulation, but which specific lipid molecular species affect human biological aging remains largely unknown. We investigated the relation between complex lipids and DNA methylation-based metrics of biological aging among 4181 participants (mean age 55.1 years (range 30.0-95.0)) from the Rhineland Study, an ongoing population-based cohort study in Bonn, Germany. The absolute concentration of 14 lipid classes, covering 964 molecular species and 267 fatty acid composites, was measured by Metabolon Complex Lipid Panel. DNA methylation-based metrics of biological aging (AgeAccelPheno and AgeAccelGrim) were calculated based on published algorithms. Epigenome-wide association analyses (EWAS) of biological aging-associated lipids and pathway analysis were performed to gain biological insights into the mechanisms underlying the effects of lipidomics on biological aging. We found that higher levels of molecular species belonging to neutral lipids, phosphatidylethanolamines, phosphatidylinositols, and dihydroceramides were associated with faster biological aging, whereas higher levels of lysophosphatidylcholine, hexosylceramide, and lactosylceramide species were associated with slower biological aging. Ceramide, phosphatidylcholine, and lysophosphatidylethanolamine species with odd-numbered fatty acid tail lengths were associated with slower biological aging, whereas those with even-numbered chain lengths were associated with faster biological aging. EWAS combined with functional pathway analysis revealed several complex lipids associated with biological aging as important regulators of known longevity and aging-related pathways.
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Affiliation(s)
- Dan Liu
- Population Health SciencesGerman Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - N. Ahmad Aziz
- Population Health SciencesGerman Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Department of Neurology, Faculty of MedicineUniversity of BonnBonnGermany
| | - Elvire Nadieh Landstra
- Population Health SciencesGerman Center for Neurodegenerative Diseases (DZNE)BonnGermany
| | - Monique M. B. Breteler
- Population Health SciencesGerman Center for Neurodegenerative Diseases (DZNE)BonnGermany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of MedicineUniversity of BonnBonnGermany
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Zelows MM, Cady C, Dharanipragada N, Mead AE, Kipp ZA, Bates EA, Varadharajan V, Banerjee R, Park SH, Shelman NR, Clarke HA, Hawkinson TR, Medina T, Sun RC, Lydic TA, Hinds TD, Brown JM, Softic S, Graf GA, Helsley RN. Loss of Carnitine Palmitoyltransferase 1a Reduces Docosahexaenoic Acid-Containing Phospholipids and Drives Sexually Dimorphic Liver Disease in Mice. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.17.553705. [PMID: 37645721 PMCID: PMC10462091 DOI: 10.1101/2023.08.17.553705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Background and Aims Genome and epigenome wide association studies identified variants in carnitine palmitoyltransferase 1a (CPT1a) that associate with lipid traits. The goal of this study was to determine the impact by which liver-specific CPT1a deletion impacts hepatic lipid metabolism. Approach and Results Six-to-eight-week old male and female liver-specific knockout (LKO) and littermate controls were placed on a low-fat or high-fat diet (HFD; 60% kcal fat) for 15 weeks. Mice were necropsied after a 16 hour fast, and tissues were collected for lipidomics, matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI), kinome analysis, RNA-sequencing, and protein expression by immunoblotting. Female LKO mice had increased serum alanine aminotransferase (ALT) levels which were associated with greater deposition of hepatic lipids, while male mice were not affected by CPT1a deletion relative to male control mice. Mice with CPT1a deletion had reductions in DHA-containing phospholipids at the expense of monounsaturated fatty acids (MUFA)-containing phospholipids in both whole liver and at the level of the lipid droplet (LD). Male and female LKO mice increased RNA levels of genes involved in LD lipolysis ( Plin2 , Cidec , G0S2 ) and in polyunsaturated fatty acid (PUFA) metabolism ( Elovl5, Fads1, Elovl2 ), while only female LKO mice increased genes involved in inflammation ( Ly6d, Mmp12, Cxcl2 ). Kinase profiling showed decreased protein kinase A (PKA) activity, which coincided with increased PLIN2, PLIN5, and G0S2 protein levels and decreased triglyceride hydrolysis in LKO mice. Conclusions Liver-specific deletion of CPT1a promotes sexually dimorphic steatotic liver disease (SLD) in mice, and here we have identified new mechanisms by which females are protected from HFD-induced liver injury. Graphical Summary
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6
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Li X, Shao X, Xue Q, Kou M, Champagne CM, Koseva BS, Heianza Y, Grundberg E, Bazzano LA, Bray GA, Sacks FM, Qi L. DNA Methylation Near CPT1A and Changes in Triglyceride-rich Lipoproteins in Response to Weight-loss Diet Interventions. J Clin Endocrinol Metab 2023; 108:e542-e549. [PMID: 36800272 PMCID: PMC10348458 DOI: 10.1210/clinem/dgad086] [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] [Received: 09/20/2022] [Revised: 02/08/2023] [Accepted: 02/09/2023] [Indexed: 02/18/2023]
Abstract
CONTEXT Carnitine palmitoyltransferase-1A, encoded by the CPT1A gene, plays a key role in the oxidation of long-chain fatty acids in the mitochondria and may be important in triglyceride metabolism. Previous work has shown that high fat intake was negatively associated with CPT1A methylation and positively associated with CPT1A expression. OBJECTIVE We aim to investigate the association of DNA methylation (DNAm) at the CPT1A gene with reductions in triglycerides and triglyceride-rich lipoproteins (TRLs) in response to weight-loss diet interventions. METHODS The current study included 538 White participants, who were randomly assigned to 1 of 4 diets varying in macronutrient components. We defined the regional DNAm at CPT1A as the average methylation level over CpGs within 500 bp of the 3 triglyceride-related DNAm sites. RESULTS Dietary fat intake significantly modified the association between baseline DNAm at CPT1A and 2-year changes in total plasma triglycerides, independent of concurrent weight loss. Among participants assigned to a low-fat diet, a higher regional DNAm level at CPT1A was associated with a greater reduction in total plasma triglycerides at 2 years (P = .01), compared with those assigned to a high-fat diet (P = .64) (P interaction = .018). Further investigation on lipids and apolipoproteins in very low-density lipoprotein (VLDL) revealed similar interaction patterns for 2-year changes in VLDL-triglycerides, VLDL-cholesterol, and VLDL-apolipoprotein B (P interaction = .009, .002, and .016, respectively), but not for VLDL-apoC-III (P interaction = .36). CONCLUSION Participants with a higher regional DNAm level at CPT1A benefit more in long-term improvement in triglycerides, particularly in the TRLs and related apolipoproteins when consuming a low-fat weight-loss diet.
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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
| | - Xiaojian Shao
- Digital Technologies Research Centre, National Research Council Canada, Ottawa, Ontario K1C 0R6, Canada
| | - Qiaochu Xue
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Minghao Kou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Catherine M Champagne
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Boryana S Koseva
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO 64108, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - Elin Grundberg
- Department of Pediatrics, Genomic Medicine Center, Children's Mercy Kansas City, Kansas City, MO 64108, USA
| | - Lydia A Bazzano
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA
| | - George A Bray
- Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA 70808, USA
| | - Frank M Sacks
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, 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
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Nikpay M. Genome-wide search identified DNA methylation sites that regulate the metabolome. Front Genet 2023; 14:1093882. [PMID: 37274792 PMCID: PMC10233745 DOI: 10.3389/fgene.2023.1093882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 05/09/2023] [Indexed: 06/07/2023] Open
Abstract
Background: Identifying DNA methylation sites that regulate the metabolome is important for several purposes. In this study, publicly available GWAS data were integrated to find methylation sites that impact metabolome through a discovery and replication scheme and by using Mendelian randomization. Results: The outcome of analyses revealed 107 methylation sites associated with 84 metabolites at the genome-wide significance level (p<5e-8) at both the discovery and replication stages. A large percentage of the observed associations (85%) were with lipids, significantly higher than expected (p = 0.0003). A number of CpG (methylation) sites showed specificity e.g., cg20133200 within PFKP was associated with glucose only and cg10760299 within GATM impacted the level of creatinine; in contrast, there were sites associated with numerous metabolites e.g., cg20102877 on the 2p23.3 region was associated with 39 metabolites. Integrating transcriptome data enabled identifying genes (N = 82) mediating the impact of methylation sites on the metabolome and cardiometabolic traits. For example, PABPC4 mediated the impact of cg15123755-HDL on type-2 diabetes. KCNK7 mediated the impact of cg21033440-lipids on hypertension. POC5, ILRUN, FDFT1, and NEIL2 mediated the impact of CpG sites on obesity through metabolic pathways. Conclusion: This study provides a catalog of DNA methylation sites that regulate the metabolome for downstream applications.
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Humardani FM, Mulyanata LT, Dwi Putra SE. Adipose cell-free DNA in diabetes. Clin Chim Acta 2023; 539:191-197. [PMID: 36549639 DOI: 10.1016/j.cca.2022.12.008] [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: 10/09/2022] [Revised: 12/08/2022] [Accepted: 12/09/2022] [Indexed: 12/24/2022]
Abstract
Cancer-associated necrosis is a well-known source of cell-free DNA (cfDNA). However, the origins of cfDNA are not strictly limited to cancer. Additionally, dietary exposure induces apoptosis-induced proliferation in adipocytes, leading to the release of cfDNA. The genetic information derived from cfDNA as a result of apoptosis-induced proliferation contains specific methylation patterns in adipose tissue that can be used as a marker to detect the risk of developing Type 2 diabetes Mellitus (T2DM) in the future. cfDNA is superior to peripheral blood leukocytes (PBL) and whole blood samples for reflecting tissue pathology due to the frequent use of PBL and whole blood samples that do not match tissue pathology. The difficulty of demonstrating that cfDNA is derived from adipose tissue. We propose several promising techniques by analyzing cfDNA derived from adipose tissue to detect T2DM risk. First, adipose-specific genes such as ADIPOQ and Leptin were utilized. Second, MCTA-Seq, EpiSCORE, deconvolution, multiplexing, and automated machine learning (AutoML) were used to determine the proportion of total methylation in related genes.
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Affiliation(s)
| | | | - Sulistyo Emantoko Dwi Putra
- Department of Biology, Faculty of Biotechnology, University of Surabaya, Surabaya, Indonesia; Raya Kalingrungkut Road, Kali Rungkut, State of Rungkut, Surabaya City, East Java 60293, Indonesia.
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Taylor JY, Huang Y, Zhao W, Wright ML, Wang Z, Hui Q, Potts‐Thompson S, Barcelona V, Prescott L, Yao Y, Crusto C, Kardia SLR, Smith JA, Sun YV. Epigenome-wide association study of BMI in Black populations from InterGEN and GENOA. Obesity (Silver Spring) 2023; 31:243-255. [PMID: 36479596 PMCID: PMC10107734 DOI: 10.1002/oby.23589] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 08/09/2022] [Accepted: 08/22/2022] [Indexed: 12/12/2022]
Abstract
OBJECTIVE Obesity is a significant public health concern across the globe. Research investigating epigenetic mechanisms related to obesity and obesity-associated conditions has identified differences that may contribute to cellular dysregulation that accelerates the development of disease. However, few studies include Black women, who experience the highest incidence of obesity and early onset of cardiometabolic disorders. METHODS The association of BMI with epigenome-wide DNA methylation (DNAm) was examined using the 850K Illumina EPIC BeadChip in two Black populations (Intergenerational Impact of Genetic and Psychological Factors on Blood Pressure [InterGEN], n = 239; and The Genetic Epidemiology Network of Arteriopathy [GENOA] study, n = 961) using linear mixed-effects regression models adjusted for batch effects, cell type heterogeneity, population stratification, and confounding factors. RESULTS Cross-sectional analysis of the InterGEN discovery cohort identified 28 DNAm sites significantly associated with BMI, 24 of which had not been previously reported. Of these, 17 were replicated using the GENOA study. In addition, a meta-analysis, including both the InterGEN and GENOA cohorts, identified 658 DNAm sites associated with BMI with false discovery rate < 0.05. In a meta-analysis of Black women, we identified 628 DNAm sites significantly associated with BMI. Using a more stringent significance threshold of Bonferroni-corrected p value 0.05, 65 and 61 DNAm sites associated with BMI were identified from the combined sex and female-only meta-analyses, respectively. CONCLUSIONS This study suggests that BMI is associated with differences in DNAm among women that can be identified with DNA extracted from salivary (discovery) and peripheral blood (replication) samples among Black populations across two cohorts.
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Affiliation(s)
- Jacquelyn Y. Taylor
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Yunfeng Huang
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Wei Zhao
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | | | - Zeyuan Wang
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Qin Hui
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | | | - Veronica Barcelona
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Laura Prescott
- Center for Research on People of ColorColumbia University School of NursingNew YorkNew YorkUSA
| | - Yutong Yao
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
| | - Cindy Crusto
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public HealthUniversity of MichiganAnn ArborMichiganUSA
- Survey Research CenterInstitute for Social Research, University of MichiganAnn ArborMichiganUSA
| | - Yan V. Sun
- Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaGeorgiaUSA
- Atlanta VA Healthcare SystemDecaturGeorgiaUSA
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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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11
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Li D, Li Y, Yang S, Lu J, Jin X, Wu M. Diet-gut microbiota-epigenetics in metabolic diseases: From mechanisms to therapeutics. Biomed Pharmacother 2022; 153:113290. [PMID: 35724509 DOI: 10.1016/j.biopha.2022.113290] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/26/2022] [Accepted: 06/09/2022] [Indexed: 11/02/2022] Open
Abstract
The prevalence of metabolic diseases, including obesity, dyslipidemia, type 2 diabetes mellitus (T2DM), and non-alcoholic fatty liver disease (NAFLD), is a severe burden in human society owing to the ensuing high morbidity and mortality. Various factors linked to metabolic disorders, particularly environmental factors (such as diet and gut microbiota) and epigenetic modifications, contribute to the progression of metabolic diseases. Dietary components and habits regulate alterations in gut microbiota; in turn, microbiota-derived metabolites, such as short-chain fatty acids (SCFAs), are influenced by diet. Interestingly, diet-derived microbial metabolites appear to produce substrates and enzymatic regulators for epigenetic modifications (such as DNA methylation, histone modifications, and non-coding RNA expression). Epigenetic changes mediated by microbial metabolites participate in metabolic disorders via alterations in intestinal permeability, immune responses, inflammatory reactions, and insulin resistance. In addition, microbial metabolites can trigger inflammatory immune responses and microbiota dysbiosis by directly binding to G-protein-coupled receptors (GPCRs). Hence, diet-gut microbiota-epigenetics may play a role in metabolic diseases. However, their complex relationships with metabolic diseases remain largely unknown and require further investigation. This review aimed to elaborate on the interactions among diet, gut microbiota, and epigenetics to uncover the mechanisms and therapeutics of metabolic diseases.
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Affiliation(s)
- Dan Li
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Yujuan Li
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Shengjie Yang
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Jing Lu
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Xiao Jin
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
| | - Min Wu
- Guang'an men Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
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12
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Barouti Z, Heidari-Beni M, Shabanian-Boroujeni A, Mohammadzadeh M, Pahlevani V, Poursafa P, Mohebpour F, Kelishadi R. Effects of DNA methylation on cardiometabolic risk factors: a systematic review and meta-analysis. Arch Public Health 2022; 80:150. [PMID: 35655232 PMCID: PMC9161587 DOI: 10.1186/s13690-022-00907-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 05/27/2022] [Indexed: 11/10/2022] Open
Abstract
Background Epigenetic changes, especially DNA methylation have a main role in regulating cardiometabolic disorders and their risk factors. This study provides a review of the current evidence on the association between methylation of some genes (LINE1, ABCG1, SREBF1, PHOSPHO1, ADRB3, and LEP) and cardiometabolic risk factors. Methods A systematic literature search was conducted in electronic databases including Web of Science, PubMed, EMBASE, Google Scholar and Scopus up to end of 2020. All observational human studies (cross-sectional, case–control, and cohort) were included. Studies that assessed the effect of DNA methylation on cardiometabolic risk factors were selected. Results Among 1398 articles, eight studies and twenty-one studies were included in the meta-analysis and the systematic review, respectively. Our study showed ABCG1 and LINE1 methylation were positively associated with blood pressure (Fisher’s zr = 0.07 (0.06, 0.09), 95% CI: 0.05 to 0.08). Methylation in LINE1, ABCG1, SREBF1, PHOSPHO1 and ADRB3 had no significant association with HDL levels (Fisher’s zr = − 0.05 (− 0.13, 0.03), 95% CI:-0.12 to 0.02). Positive association was existed between LINE1, ABCG1 and LEP methylation and LDL levels (Fisher’s zr = 0.13 (0.04, 0.23), 95% CI: 0.03 to 0.23). Moreover, positive association was found between HbA1C and ABCG1 methylation (Fisher’s zr = 0.11 (0.09, 0.13), 95% CI: 0.09 to 0.12). DNA methylation of LINE1, ABCG1 and SREBF1 genes had no significant association with glucose levels (Fisher’s zr = 0.01 (− 0.12, 0.14), 95% CI:-0.12 to 0.14). Conclusion This meta-analysis showed that DNA methylation was associated with some cardiometabolic risk factors including LDL-C, HbA1C, and blood pressure. Registration Registration ID of the protocol on PROSPERO is CRD42020207677.
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Atherosclerosis Development and Progression: The Role of Atherogenic Small, Dense LDL. Medicina (B Aires) 2022; 58:medicina58020299. [PMID: 35208622 PMCID: PMC8877621 DOI: 10.3390/medicina58020299] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 02/10/2022] [Accepted: 02/14/2022] [Indexed: 12/16/2022] Open
Abstract
Atherosclerosis is responsible for large cardiovascular mortality in many countries globally. It has been shown over the last decades that the reduction of atherosclerotic progression is a critical factor for preventing future cardiovascular events. Low-density lipoproteins (LDL) have been successfully targeted, and their reduction is one of the key preventing measures in patients with atherosclerotic disease. LDL particles are pivotal for the formation and progression of atherosclerotic plaques; yet, they are quite heterogeneous, and smaller, denser LDL species are the most atherogenic. These particles have greater arterial entry and retention, higher susceptibility to oxidation, as well as reduced affinity for the LDL receptor. Increased proportion of small, dense LDL particles is an integral part of the atherogenic lipoprotein phenotype, the most common form of dyslipidemia associated with insulin resistance. Recent data suggest that both genetic and epigenetic factors might induce expression of this specific lipid pattern. In addition, a typical finding of increased small, dense LDL particles was confirmed in different categories of patients with elevated cardiovascular risk. Small, dense LDL is an independent risk factor for cardiovascular diseases, which emphasizes the clinical importance of both the quality and the quantity of LDL. An effective management of atherosclerotic disease should take into account the presence of small, dense LDL in order to prevent cardiovascular complications.
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14
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Hidalgo BA, Minniefield B, Patki A, Tanner R, Bagheri M, Tiwari HK, Arnett DK, Irvin MR. A 6-CpG validated methylation risk score model for metabolic syndrome: The HyperGEN and GOLDN studies. PLoS One 2021; 16:e0259836. [PMID: 34780523 PMCID: PMC8592434 DOI: 10.1371/journal.pone.0259836] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/27/2021] [Indexed: 12/23/2022] Open
Abstract
There has been great interest in genetic risk prediction using risk scores in recent years, however, the utility of scores developed in European populations and later applied to non-European populations has not been successful. The goal of this study was to create a methylation risk score (MRS) for metabolic syndrome (MetS), demonstrating the utility of MRS across race groups using cross-sectional data from the Hypertension Genetic Epidemiology Network (HyperGEN, N = 614 African Americans (AA)) and the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN, N = 995 European Americans (EA)). To demonstrate this, we first selected cytosine-guanine dinucleotides (CpG) sites measured on Illumina Methyl450 arrays previously reported to be significantly associated with MetS and/or component conditions in more than one race/ethnic group (CPT1A cg00574958, PHOSPHO1 cg02650017, ABCG1 cg06500161, SREBF1 cg11024682, SOCS3 cg18181703, TXNIP cg19693031). Second, we calculated the parameter estimates for the 6 CpGs in the HyperGEN data (AA) and used the beta estimates as weights to construct a MRS in HyperGEN (AA), which was validated in GOLDN (EA). We performed association analyses using logistic mixed models to test the association between the MRS and MetS, adjusting for covariates. Results showed the MRS was significantly associated with MetS in both populations. In summary, a MRS for MetS was a strong predictor for the condition across two race groups, suggesting MRS may be useful to examine metabolic disease risk or related complications across race/ethnic groups.
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Affiliation(s)
- Bertha A. Hidalgo
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Bre Minniefield
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Amit Patki
- Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Rikki Tanner
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Minoo Bagheri
- Center for Precision Medicine, Vanderbilt University Medical Center, Nashville, TN, United States of America
| | - Hemant K. Tiwari
- Department of Biostatistics, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Marguerite Ryan Irvin
- Department of Epidemiology, Ryals School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
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15
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Irvin MR, Jones AC, Claas SA, Arnett DK. DNA Methylation and Blood Pressure Phenotypes: A Review of the Literature. Am J Hypertens 2021; 34:267-273. [PMID: 33821945 DOI: 10.1093/ajh/hpab026] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Revised: 01/23/2021] [Accepted: 01/27/2021] [Indexed: 12/20/2022] Open
Abstract
Genetic studies of DNA have been unable to explain a significant portion of the variance of the estimated heritability of blood pressure (BP). Epigenetic mechanisms, particularly DNA methylation, have helped explain additional biological processes linked to BP phenotypes and diseases. Candidate gene methylation studies and genome-wide methylation studies of BP have highlighted impactful cytosine-phosphate-guanine (CpG) markers across different ethnicities. Furthermore, many of these BP-related CpG sites are also linked to metabolism-related phenotypes. Integrating epigenome-wide association study data with other layers of molecular data such as genotype data (from single nucleotide polymorphism arrays or sequencing), other epigenetic data, and/or transcriptome data can provide additional information about the significance and complexity of these relationships. Recent data suggest that epigenetic changes can be consequences rather than causes of BP variation. Finally, these data can give insight into downstream effects of long-standing high BP (due to target organ damage (TOD)). The current review provides a literature overview of epigenetic modifications in BP and TOD. Recent studies strongly support the importance of epigenetic modifications, such as DNA methylation, in BP and TOD for relevant biological insights, reliable biomarkers, and possible future therapeutics.
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Affiliation(s)
- Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Alana C Jones
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Steven A Claas
- Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
| | - Donna K Arnett
- Department of Epidemiology, College of Public Health, University of Kentucky, Lexington, Kentucky, USA
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16
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Juvinao-Quintero DL, Marioni RE, Ochoa-Rosales C, Russ TC, Deary IJ, van Meurs JBJ, Voortman T, Hivert MF, Sharp GC, Relton CL, Elliott HR. DNA methylation of blood cells is associated with prevalent type 2 diabetes in a meta-analysis of four European cohorts. Clin Epigenetics 2021; 13:40. [PMID: 33622391 PMCID: PMC7903628 DOI: 10.1186/s13148-021-01027-3] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 02/11/2021] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND Type 2 diabetes (T2D) is a heterogeneous disease with well-known genetic and environmental risk factors contributing to its prevalence. Epigenetic mechanisms related to changes in DNA methylation (DNAm), may also contribute to T2D risk, but larger studies are required to discover novel markers, and to confirm existing ones. RESULTS We performed a large meta-analysis of individual epigenome-wide association studies (EWAS) of prevalent T2D conducted in four European studies using peripheral blood DNAm. Analysis of differentially methylated regions (DMR) was also undertaken, based on the meta-analysis results. We found three novel CpGs associated with prevalent T2D in Europeans at cg00144180 (HDAC4), cg16765088 (near SYNM) and cg24704287 (near MIR23A) and confirmed three CpGs previously identified (mapping to TXNIP, ABCG1 and CPT1A). We also identified 77 T2D associated DMRs, most of them hypomethylated in T2D cases versus controls. In adjusted regressions among diabetic-free participants in ALSPAC, we found that all six CpGs identified in the meta-EWAS were associated with white cell-types. We estimated that these six CpGs captured 11% of the variation in T2D, which was similar to the variation explained by the model including only the common risk factors of BMI, sex, age and smoking (R2 = 10.6%). CONCLUSIONS This study identifies novel loci associated with T2D in Europeans. We also demonstrate associations of the same loci with other traits. Future studies should investigate if our findings are generalizable in non-European populations, and potential roles of these epigenetic markers in T2D etiology or in determining long term consequences of T2D.
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Affiliation(s)
- Diana L. Juvinao-Quintero
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215 USA
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Oakfield Grove, Bristol, BS8 2BN UK
| | - Riccardo E. Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU UK
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
- Centro de Vida Saludable de La Universidad de Concepción, Victoria 580, Concepción, Chile
| | - Tom C. Russ
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ UK
- Edinburgh Dementia Prevention Research Group, University of Edinburgh, Edinburgh, EH16 4UX UK
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ UK
| | - Ian J. Deary
- Lothian Birth Cohorts, University of Edinburgh, Edinburgh, EH8 9JZ UK
- Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ UK
| | - Joyce B. J. van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, 3000 CA The Netherlands
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215 USA
| | - Gemma C. Sharp
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
| | - Caroline L. Relton
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
- Bristol NIHR Biomedical Research Centre, Oakfield House, Oakfield Grove, Bristol, BS8 2BN UK
| | - Hannah R. Elliott
- MRC Integrative Epidemiology, Bristol Medical School, Bristol, BS8 2BN UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, BS8 2BN UK
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17
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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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18
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Gomez-Alonso MDC, Kretschmer A, Wilson R, Pfeiffer L, Karhunen V, Seppälä I, Zhang W, Mittelstraß K, Wahl S, Matias-Garcia PR, Prokisch H, Horn S, Meitinger T, Serrano-Garcia LR, Sebert S, Raitakari O, Loh M, Rathmann W, Müller-Nurasyid M, Herder C, Roden M, Hurme M, Jarvelin MR, Ala-Korpela M, Kooner JS, Peters A, Lehtimäki T, Chambers JC, Gieger C, Kettunen J, Waldenberger M. DNA methylation and lipid metabolism: an EWAS of 226 metabolic measures. Clin Epigenetics 2021; 13:7. [PMID: 33413638 PMCID: PMC7789600 DOI: 10.1186/s13148-020-00957-8] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 10/22/2020] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND The discovery of robust and trans-ethnically replicated DNA methylation markers of metabolic phenotypes, has hinted at a potential role of epigenetic mechanisms in lipid metabolism. However, DNA methylation and the lipid compositions and lipid concentrations of lipoprotein sizes have been scarcely studied. Here, we present an epigenome-wide association study (EWAS) (N = 5414 total) of mostly lipid-related metabolic measures, including a fine profiling of lipoproteins. As lipoproteins are the main players in the different stages of lipid metabolism, examination of epigenetic markers of detailed lipoprotein features might improve the diagnosis, prognosis, and treatment of metabolic disturbances. RESULTS We conducted an EWAS of leukocyte DNA methylation and 226 metabolic measurements determined by nuclear magnetic resonance spectroscopy in the population-based KORA F4 study (N = 1662) and replicated the results in the LOLIPOP, NFBC1966, and YFS cohorts (N = 3752). Follow-up analyses in the discovery cohort included investigations into gene transcripts, metabolic-measure ratios for pathway analysis, and disease endpoints. We identified 161 associations (p value < 4.7 × 10-10), covering 16 CpG sites at 11 loci and 57 metabolic measures. Identified metabolic measures were primarily medium and small lipoproteins, and fatty acids. For apolipoprotein B-containing lipoproteins, the associations mainly involved triglyceride composition and concentrations of cholesterol esters, triglycerides, free cholesterol, and phospholipids. All associations for HDL lipoproteins involved triglyceride measures only. Associated metabolic measure ratios, proxies of enzymatic activity, highlight amino acid, glucose, and lipid pathways as being potentially epigenetically implicated. Five CpG sites in four genes were associated with differential expression of transcripts in blood or adipose tissue. CpG sites in ABCG1 and PHGDH showed associations with metabolic measures, gene transcription, and metabolic measure ratios and were additionally linked to obesity or previous myocardial infarction, extending previously reported observations. CONCLUSION Our study provides evidence of a link between DNA methylation and the lipid compositions and lipid concentrations of different lipoprotein size subclasses, thus offering in-depth insights into well-known associations of DNA methylation with total serum lipids. The results support detailed profiling of lipid metabolism to improve the molecular understanding of dyslipidemia and related disease mechanisms.
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Affiliation(s)
- Monica Del C Gomez-Alonso
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Anja Kretschmer
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Liliane Pfeiffer
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Ville Karhunen
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Center for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Pirkanmaa Hospital District, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Weihua Zhang
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, Middlesex, UK
| | - Kirstin Mittelstraß
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Pamela R Matias-Garcia
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University Munich, Munich, Germany
| | - Sacha Horn
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, School of Medicine, Technical University Munich, Munich, Germany
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Luis R Serrano-Garcia
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Chair of Microbiology, Technical University of Munich, Freising, Germany
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland
| | - Olli Raitakari
- Centre for Population Health Research, University of Turku, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, University of Turku, Turku University Hospital, Turku, Finland
| | - Marie Loh
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Wolfgang Rathmann
- Institute for Biometrics and Epidemiology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Martina Müller-Nurasyid
- Chair of Genetic Epidemiology, IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, 55101, Mainz, Germany
| | - Christian Herder
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Michael Roden
- German Center for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Mikko Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Center for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland
- UKMRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Mika Ala-Korpela
- Center for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland
- NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, Middlesex, UK
- National Heart and Lung Institute, Imperial College London, London, UK
- Imperial College Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Pirkanmaa Hospital District, Fimlab Laboratories, and Finnish Cardiovascular Research Center, Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West University Healthcare NHS Trust, London, Middlesex, UK
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Imperial College Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany
| | - Johannes Kettunen
- Center for Life Course Health Research, University of Oulu, Oulu University Hospital, Oulu, Finland
- Computational Medicine, Faculty of Medicine, University of Oulu, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Ingolstaedter Landstraße 1, 85764, Neuherberg, Germany.
- Institute of Epidemiology, Helmholtz Zentrum München German Research Center for Environmental Health, Neuherberg, Germany.
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
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19
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Płatek T, Polus A, Góralska J, Raźny U, Gruca A, Kieć-Wilk B, Zabielski P, Kapusta M, Słowińska-Solnica K, Solnica B, Malczewska-Malec M, Dembińska-Kieć A. DNA methylation microarrays identify epigenetically regulated lipid related genes in obese patients with hypercholesterolemia. Mol Med 2020; 26:93. [PMID: 33028190 PMCID: PMC7539457 DOI: 10.1186/s10020-020-00220-z] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 09/29/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Epigenetics can contribute to lipid disorders in obesity. The DNA methylation pattern can be the cause or consequence of high blood lipids. The aim of the study was to investigate the DNA methylation profile in peripheral leukocytes associated with elevated LDL-cholesterol level in overweight and obese individuals. METHODS To identify the differentially methylated genes, genome-wide DNA methylation microarray analysis was performed in leukocytes of obese individuals with high LDL-cholesterol (LDL-CH, ≥ 3.4 mmol/L) versus control obese individuals with LDL-CH, < 3.4 mmol/L. Biochemical tests such as serum glucose, total cholesterol, HDL cholesterol, triglycerides, insulin, leptin, adiponectin, FGF19, FGF21, GIP and total plasma fatty acids content have been determined. Oral glucose and lipid tolerance tests were also performed. Human DNA Methylation Microarray (from Agilent Technologies) containing 27,627 probes for CpG islands was used for screening of DNA methylation status in 10 selected samples. Unpaired t-test and Mann-Whitney U-test were used for biochemical and anthropometric parameters statistics. For microarrays analysis, fold of change was calculated comparing hypercholesterolemic vs control group. The q-value threshold was calculated using moderated Student's t-test followed by Benjamini-Hochberg multiple test correction FDR. RESULTS In this preliminary study we identified 190 lipid related CpG loci differentially methylated in hypercholesterolemic versus control individuals. Analysis of DNA methylation profiles revealed several loci engaged in plasma lipoprotein formation and metabolism, cholesterol efflux and reverse transport, triglycerides degradation and fatty acids transport and β-oxidation. Hypermethylation of CpG loci located in promoters of genes regulating cholesterol metabolism: PCSK9, LRP1, ABCG1, ANGPTL4, SREBF1 and NR1H2 in hypercholesterolemic patients has been found. Novel epigenetically regulated CpG sites include ABCG4, ANGPTL4, AP2A2, AP2M1, AP2S1, CLTC, FGF19, FGF1R, HDLBP, LIPA, LMF1, LRP5, LSR, NR1H2 and ZDHHC8 genes. CONCLUSIONS Our results indicate that obese individuals with hypercholesterolemia present specific DNA methylation profile in genes related to lipids transport and metabolism. Detailed knowledge of epigenetic regulation of genes, important for lipid disorders in obesity, underlies the possibility to influence target genes by changing diet and lifestyle, as DNA methylation is reversible and depends on environmental factors. These findings give rise for further studies on factors that targets methylation of revealed genes.
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Affiliation(s)
- Teresa Płatek
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland.
| | - Anna Polus
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Joanna Góralska
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Urszula Raźny
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Anna Gruca
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Beata Kieć-Wilk
- Department of Metabolic Diseases, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
- Department of Metabolic Diseases, University Hospital in Krakow, Jakubowskiego 2, 30-688, Kraków, Poland
| | - Piotr Zabielski
- Department of Physiology, Medical University of Bialystok, Mickiewicza 2C, 15-222, Białystok, Poland
| | - Maria Kapusta
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Krystyna Słowińska-Solnica
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Bogdan Solnica
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Małgorzata Malczewska-Malec
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
| | - Aldona Dembińska-Kieć
- Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a, 31-501, Kraków, Poland
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20
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Justice AE, Chittoor G, Gondalia R, Melton PE, Lim E, Grove ML, Whitsel EA, Liu CT, Cupples LA, Fernandez-Rhodes L, Guan W, Bressler J, Fornage M, Boerwinkle E, Li Y, Demerath E, Heard-Costa N, Levy D, Stewart JD, Baccarelli A, Hou L, Conneely K, Mori TA, Beilin LJ, Huang RC, Gordon-Larsen P, Howard AG, North KE. Methylome-wide association study of central adiposity implicates genes involved in immune and endocrine systems. Epigenomics 2020; 12:1483-1499. [PMID: 32901515 PMCID: PMC7923253 DOI: 10.2217/epi-2019-0276] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 05/22/2020] [Indexed: 12/14/2022] Open
Abstract
Aim: We conducted a methylome-wide association study to examine associations between DNA methylation in whole blood and central adiposity and body fat distribution, measured as waist circumference, waist-to-hip ratio and waist-to-height ratio adjusted for body mass index, in 2684 African-American adults in the Atherosclerosis Risk in Communities study. Materials & methods: We validated significantly associated cytosine-phosphate-guanine methylation sites (CpGs) among adults using the Women's Health Initiative and Framingham Heart Study participants (combined n = 5743) and generalized associations in adolescents from The Raine Study (n = 820). Results & conclusion: We identified 11 CpGs that were robustly associated with one or more central adiposity trait in adults and two in adolescents, including CpG site associations near TXNIP, ADCY7, SREBF1 and RAP1GAP2 that had not previously been associated with obesity-related traits.
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Affiliation(s)
- Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Geetha Chittoor
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
| | - Rahul Gondalia
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Phillip E Melton
- School of Biomedical Science, Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA 6000, Australia
- School of Pharmacy & Biomedical Sciences, Faculty of Health Sciences, Curtin University, MRF Building, Perth, WA 6000, Australia
- Menzies Institute for Medical Research, College of Health & Medicine, University of Tasmania, Hobart, TA, 7000 Australia
| | - Elise Lim
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, MA, 01701, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biobehavioral Health, Pennsylvania State University, University Park, PA 16802, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Myriam Fornage
- Center for Human Genetics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yun Li
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, NC 27599, USA
| | - Ellen Demerath
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Nancy Heard-Costa
- Framingham Heart Study, Framingham, MA, 01701, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Dan Levy
- Population sciences branch, NHLBI Framingham Heart Study, Framingham, MA 01702, USA
- Department of Medicine, Boston University, Boston, MA 02118, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Andrea Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences & Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA
| | - Karen Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Australia
| | | | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
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21
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Sawyer BT, Qamar L, Yamamoto TM, McMellen A, Watson ZL, Richer JK, Behbakht K, Schlaepfer IR, Bitler BG. Targeting Fatty Acid Oxidation to Promote Anoikis and Inhibit Ovarian Cancer Progression. Mol Cancer Res 2020; 18:1088-1098. [PMID: 32198139 PMCID: PMC7335321 DOI: 10.1158/1541-7786.mcr-19-1057] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 02/10/2020] [Accepted: 03/16/2020] [Indexed: 12/22/2022]
Abstract
Epithelial-derived high-grade serous ovarian cancer (HGSOC) is the deadliest gynecologic malignancy. Roughly 80% of patients are diagnosed with late-stage disease, which is defined by wide-spread cancer dissemination throughout the pelvic and peritoneal cavities. HGSOC dissemination is dependent on tumor cells acquiring the ability to resist anoikis (apoptosis triggered by cell detachment). Epithelial cell detachment from the underlying basement membrane or extracellular matrix leads to cellular stress, including nutrient deprivation. In this report, we examined the contribution of fatty acid oxidation (FAO) in supporting anoikis resistance. We examined expression Carnitine Palmitoyltransferase 1A (CPT1A) in a panel of HGSOC cell lines cultured in adherent and suspension conditions. With CPT1A knockdown cells, we evaluated anoikis by caspase 3/7 activity, cleaved caspase 3 immunofluorescence, flow cytometry, and colony formation. We assessed CPT1A-dependent mitochondrial activity and tested the effect of exogenous oleic acid on anoikis and mitochondrial activity. In a patient-derived xenograft model, we administered etomoxir, an FAO inhibitor, and/or platinum-based chemotherapy. CPT1A is overexpressed in HGSOC, correlates with poor overall survival, and is upregulated in HGSOC cells cultured in suspension. CPT1A knockdown promoted anoikis and reduced viability of cells cultured in suspension. HGSOC cells in suspension culture are dependent on CPT1A for mitochondrial activity. In a patient-derived xenograft model of HGSOC, etomoxir significantly inhibited tumor progression. IMPLICATIONS: Targeting FAO in HGSOC to promote anoikis and attenuate dissemination is a potential approach to promote a more durable antitumor response and improve patient outcomes.
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Affiliation(s)
- Brandon T Sawyer
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Lubna Qamar
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Tomomi M Yamamoto
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Alexandra McMellen
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Zachary L Watson
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Jennifer K Richer
- Department of Pathology, University of Colorado School of Medicine, Aurora, Colorado
| | - Kian Behbakht
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
| | - Isabel R Schlaepfer
- Division of Medical Oncology, Department of Medicine, University of Colorado School of Medicine, Aurora, Colorado.
| | - Benjamin G Bitler
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado.
- Division of Reproductive Sciences, Department of Obstetrics and Gynecology, University of Colorado School of Medicine, Aurora, Colorado
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22
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Thibord F, Munsch G, Perret C, Suchon P, Roux M, Ibrahim-Kosta M, Goumidi L, Deleuze JF, Morange PE, Trégouët DA. Bayesian network analysis of plasma microRNA sequencing data in patients with venous thrombosis. Eur Heart J Suppl 2020; 22:C34-C45. [PMID: 32368197 PMCID: PMC7189740 DOI: 10.1093/eurheartj/suaa008] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
MicroRNAs (miRNAs) are small regulatory RNAs participating to several biological processes and known to be involved in various pathologies. Measurable in body fluids, miRNAs have been proposed to serve as efficient biomarkers for diseases and/or associated traits. Here, we performed a next-generation-sequencing based profiling of plasma miRNAs in 344 patients with venous thrombosis (VT) and assessed the association of plasma miRNA levels with several haemostatic traits and the risk of VT recurrence. Among the most significant findings, we detected an association between hsa-miR-199b-3p and haematocrit levels (P = 0.0016), these two markers having both been independently reported to associate with VT risk. We also observed suggestive evidence for association of hsa-miR-370-3p (P = 0.019), hsa-miR-27b-3p (P = 0.016) and hsa-miR-222-3p (P = 0.049) with VT recurrence, the observations at the latter two miRNAs confirming the recent findings of Wang et al. Besides, by conducting Genome-Wide Association Studies on miRNA levels and meta-analyzing our results with some publicly available, we identified 21 new associations of single nucleotide polymorphisms with plasma miRNA levels at the statistical significance threshold of P < 5 × 10-8, some of these associations pertaining to thrombosis associated mechanisms. In conclusion, this study provides novel data about the impact of miRNAs' variability in haemostasis and new arguments supporting the association of few miRNAs with the risk of recurrence in patients with venous thrombosis.
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Affiliation(s)
- Florian Thibord
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
- Pierre Louis Doctoral School of Public Health, Sorbonne-Université, 15 rue de l’école de médecine, Paris 75006, France
| | - Gaëlle Munsch
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
| | - Claire Perret
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), INSERM UMR_S 1166, 91 Boulevard de l’Hôpital, Paris 75013, France
| | - Pierre Suchon
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
| | - Maguelonne Roux
- Sorbonne Universités, Université Pierre et Marie Curie (UPMC Univ Paris 06), INSERM UMR_S 1166, 91 Boulevard de l’Hôpital, Paris 75013, France
| | - Manal Ibrahim-Kosta
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - Louisa Goumidi
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine, Direction de la Recherche Fondamentale, CEA, 2 rue Gaston Crémieux, Evry 91057, France
- CEPH, Fondation Jean Dausset, 27 rue Juliette Dodu, Paris 75010, France
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, 278 rue Saint Pierre, Marseille 13385, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition research (C2VN), Aix-Marseille University, 278 rue Saint Pierre, Marseille 13385, France
| | - David-Alexandre Trégouët
- Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1219, Bordeaux Population Health Research Center, University of Bordeaux, 146 rue Léo Saignat, Bordeaux 33076, France
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23
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Schlaepfer IR, Joshi M. CPT1A-mediated Fat Oxidation, Mechanisms, and Therapeutic Potential. Endocrinology 2020; 161:5695911. [PMID: 31900483 DOI: 10.1210/endocr/bqz046] [Citation(s) in RCA: 282] [Impact Index Per Article: 70.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Accepted: 12/31/2019] [Indexed: 12/15/2022]
Abstract
Energy homeostasis during fasting or prolonged exercise depends on mitochondrial fatty acid oxidation (FAO). This pathway is crucial in many tissues with high energy demand and its disruption results in inborn FAO deficiencies. More than 15 FAO genetic defects have been currently described, and pathological variants described in circumpolar populations provide insights into its critical role in metabolism. The use of fatty acids as energy requires more than 2 dozen enzymes and transport proteins, which are involved in the activation and transport of fatty acids into the mitochondria. As the key rate-limiting enzyme of FAO, carnitine palmitoyltransferase I (CPT1) regulates FAO and facilitates adaptation to the environment, both in health and in disease, including cancer. The CPT1 family of proteins contains 3 isoforms: CPT1A, CPT1B, and CPT1C. This review focuses on CPT1A, the liver isoform that catalyzes the rate-limiting step of converting acyl-coenzyme As into acyl-carnitines, which can then cross membranes to get into the mitochondria. The regulation of CPT1A is complex and has several layers that involve genetic, epigenetic, physiological, and nutritional modulators. It is ubiquitously expressed in the body and associated with dire consequences linked with genetic mutations, metabolic disorders, and cancers. This makes CPT1A an attractive target for therapeutic interventions. This review discusses our current understanding of CPT1A expression, its role in heath and disease, and the potential for therapeutic opportunities targeting this enzyme.
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Affiliation(s)
- Isabel R Schlaepfer
- University of Colorado School of Medicine, Division of Medical Oncology, Aurora
| | - Molishree Joshi
- University of Colorado School of Medicine, Department of Pharmacology, Aurora, Colorado
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24
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Vega-Galaviz D, Vecchyo-Tenorio GD, Alcántara-Suárez R, Méndez-García LA, Sánchez-Del Real AL, Villalobos-Molina R, Fragoso JM, León-Cabrera S, Ostoa-Saloma P, Pérez-Tamayo R, Escobedo G. M2 macrophage immunotherapy abolishes glucose intolerance by increasing IL-10 expression and AKT activation. Immunotherapy 2020; 12:9-24. [PMID: 31914828 DOI: 10.2217/imt-2019-0080] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Aim: Glucose intolerance associates with M1/M2 macrophage unbalance. We thus wanted to examine the effect of M2 macrophage administration on mouse model of glucose intolerance. Materials & methods: C57BL/6 mice fed a high-fat diet (HFD) for 12 weeks and then received thrice 20 mg/kg streptozotocin (HFD-GI). Bone marrow-derived stem cells were collected from donor mice and differentiated/activated into M2 macrophages for intraperitoneal administration into HFD-GI mice. Results: M2 macrophage treatment abolished glucose intolerance independently of obesity. M2 macrophage administration increased IL-10 in visceral adipose tissue and serum, but showed no effect on serum insulin. While nitric oxide synthase-2 and arginase-1 remained unaltered, M2 macrophage treatment restored AKT phosphorylation in visceral adipose tissue. Conclusion: M2 macrophage treatment abolishes glucose intolerance by increasing IL-10 and phosphorylated AKT.
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Affiliation(s)
- Diana Vega-Galaviz
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico
| | - Georgina Del Vecchyo-Tenorio
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico.,Unidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Raúl Alcántara-Suárez
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico
| | - Lucia A Méndez-García
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico
| | - Ana L Sánchez-Del Real
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico
| | - Rafael Villalobos-Molina
- Unidad de Biomedicina, Facultad de Estudios Superiores Iztacala, Universidad Nacional Autónoma de México, Mexico.,Departamento de Bioquímica, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - José M Fragoso
- Departamento de Biología Molecular, Instituto Nacional de Cardiología 'Ignacio Chávez', Mexico City, Mexico
| | - Sonia León-Cabrera
- Carrera de Médico Cirujano, Unidad de Biomedicina, Facultad de Estudios Superiores-Iztacala, Universidad Nacional Autónoma de México, Avenida de los Barrios 1, Los Reyes Iztacala 54090, Mexico
| | - Pedro Ostoa-Saloma
- Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Mexico
| | - Ruy Pérez-Tamayo
- Unidad de Investigación en Medicina Experimental, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico
| | - Galileo Escobedo
- Laboratory for Proteomics & Metabolomics, Research Division, General Hospital of Mexico 'Dr. Eduardo Liceaga', 06720 Mexico City, Mexico
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25
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Alese OO, Mabandla MV. Transgenerational deep sequencing revealed hypermethylation of hippocampal mGluR1 gene with altered mRNA expression of mGluR5 and mGluR3 associated with behavioral changes in Sprague Dawley rats with history of prolonged febrile seizure. PLoS One 2019; 14:e0225034. [PMID: 31710636 PMCID: PMC6844483 DOI: 10.1371/journal.pone.0225034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2019] [Accepted: 10/27/2019] [Indexed: 02/04/2023] Open
Abstract
The impact of febrile seizure has been shown to transcend immediate generation with the alteration of glutamatergic pathway being implicated. However, transgenerational effects of this neurological disorder particularly prolonged febrile seizure (PFS) on neurobehavioral study and methylation profile is unknown. We therefore hypothesized that transgenerational impact of prolonged febrile seizure is dependent on methylation of hippocampal mGluR1 gene. Prolonged febrile seizure was induced on post-natal day (PND) 14, by injecting lipopolysaccharide (LPS; 217μg/kg ip) and kainic acid (KA; 1.83 mg/kg ip). Sucrose preference test (SPT) and Forced swim test (FST) were carried out in the first generation (F0) of animals at PND37 and PND60. The F0 rats were decapitated at PND 14, 37 and 60 which corresponded to childhood, adolescent and adulthood respectively and their hippocampal tissue collected. The second generation (F1) rats were obtained by mating F0 generation at PND 60 across different groups, F1 rats were subjected to SPT and FST test on PND 37 only. Decapitation of F1rats and collection of hippocampal tissues were done on PND 14 and 37. Assessment of mGluR5 and mGluR3 mRNA was done with PCR while mGluR1 methylation profile was assessed with the Quantitative MassARRAY analysis. Results showed that PFS significantly leads to decreased sucrose consumption in the SPT and increased immobility time in the FST in both generations of rats. It also leads to significant decrease in mGluR5 mRNA expression with a resultant increased expression of mGluR3 mRNA expression and hypermethylation of mGluR1 gene across both generations of rats. This study suggested that PFS led to behavioral changes which could be transmitted on to the next generation in rats.
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MESH Headings
- Animals
- Base Sequence
- Behavior, Animal
- DNA Methylation/genetics
- High-Throughput Nucleotide Sequencing
- Hippocampus/metabolism
- Immobilization
- Promoter Regions, Genetic/genetics
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Rats, Sprague-Dawley
- Receptor, Metabotropic Glutamate 5/genetics
- Receptor, Metabotropic Glutamate 5/metabolism
- Receptors, Metabotropic Glutamate/genetics
- Receptors, Metabotropic Glutamate/metabolism
- Seizures, Febrile/genetics
- Sucrose
- Swimming
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Affiliation(s)
- Oluwole Ojo Alese
- Department of Human Physiology, College of Health Sciences, University of Kwazulu-Natal, Durban, South Africa
| | - Musa V. Mabandla
- Department of Human Physiology, College of Health Sciences, University of Kwazulu-Natal, Durban, South Africa
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26
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Lipid Metabolism and Endocrine Resistance in Prostate Cancer, and New Opportunities for Therapy. Int J Mol Sci 2019; 20:ijms20112626. [PMID: 31142021 PMCID: PMC6600138 DOI: 10.3390/ijms20112626] [Citation(s) in RCA: 71] [Impact Index Per Article: 14.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2019] [Revised: 05/24/2019] [Accepted: 05/27/2019] [Indexed: 12/23/2022] Open
Abstract
Prostate cancer (PCa) is the most common cancer in men, and more than 10% of men will be diagnosed with PCa during their lifetime. Patients that are not cured with surgery or radiation are largely treated with endocrine therapies that target androgens or the androgen receptor (AR), a major driver of PCa. In response to androgen deprivation, most PCas progress to castrate resistant PCa, which is treated with anti-androgens like enzalutamide, but tumors still progress and become incurable. Thus, there is a critical need to identify cellular pathways that allow tumors to escape anti-androgen therapies. Epidemiological studies suggest that high-fat diets play important roles in PCa progression. Lipid metabolism rewires the PCa metabolome to support growth and resistance to endocrine therapies, although the exact mechanisms remain obscure. Therapeutic effects have been observed inhibiting several aspects of PCa lipid metabolism: Synthesis, uptake, and oxidation. Since AR remains a driver of PCa in advanced disease, strategies targeting both lipid metabolism and AR are starting to emerge, providing new opportunities to re-sensitize tumors to endocrine therapies with lipid metabolic approaches.
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27
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Metabolic and Immunological Shifts during Mid-to-Late Gestation Influence Maternal Blood Methylation of CPT1A and SREBF1. Int J Mol Sci 2019; 20:ijms20051066. [PMID: 30823689 PMCID: PMC6429071 DOI: 10.3390/ijms20051066] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2019] [Revised: 02/19/2019] [Accepted: 02/25/2019] [Indexed: 01/08/2023] Open
Abstract
Mid-to-late gestation is a unique period in which women experience dynamic changes in lipid metabolism. Although the recent intensive epigenome-wide association studies (EWAS) using peripheral leukocytes have revealed that lipid-related traits alter DNA methylation, the influence of pregnancy-induced metabolic changes on the methylation levels of these differentially methylated sites is not well known. In this study, we performed a prospective cohort study of pregnant women (n = 52) using the MassARRAY EpiTYPER assay and analyzed the methylation levels of variably methylated sites, including CPT1A intron 1 and SREBF1 intron 1 CpGs, which were previously verified to be robustly associated with adiposity traits. Although methylation of SREBF1 was associated with body mass index (BMI) and low-density lipoprotein cholesterol at mid-gestation, this association was attenuated at late gestation, which was consistent with the metabolic switch from an anabolic to a catabolic state. However, the BMI association with CPT1A intron 1 methylation appeared to strengthen at late gestation; this association was mediated by pre-pregnancy BMI-dependent change in the leukocyte proportion during mid-to-late gestation. Thus, the methylation of adiposity-related differentially methylated regions was sensitive to metabolic and immunological changes during mid-to-late gestation.
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28
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Campanella G, Gunter MJ, Polidoro S, Krogh V, Palli D, Panico S, Sacerdote C, Tumino R, Fiorito G, Guarrera S, Iacoviello L, Bergdahl IA, Melin B, Lenner P, de Kok TMCM, Georgiadis P, Kleinjans JCS, Kyrtopoulos SA, Bueno-de-Mesquita HB, Lillycrop KA, May AM, Onland-Moret NC, Murray R, Riboli E, Verschuren M, Lund E, Mode N, Sandanger TM, Fiano V, Trevisan M, Matullo G, Froguel P, Elliott P, Vineis P, Chadeau-Hyam M. Epigenome-wide association study of adiposity and future risk of obesity-related diseases. Int J Obes (Lond) 2018; 42:2022-2035. [PMID: 29713043 DOI: 10.1038/s41366-018-0064-7] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/31/2018] [Accepted: 02/13/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND Obesity is an established risk factor for several common chronic diseases such as breast and colorectal cancer, metabolic and cardiovascular diseases; however, the biological basis for these relationships is not fully understood. To explore the association of obesity with these conditions, we investigated peripheral blood leucocyte (PBL) DNA methylation markers for adiposity and their contribution to risk of incident breast and colorectal cancer and myocardial infarction. METHODS DNA methylation profiles (Illumina Infinium® HumanMethylation450 BeadChip) from 1941 individuals from four population-based European cohorts were analysed in relation to body mass index, waist circumference, waist-hip and waist-height ratio within a meta-analytical framework. In a subset of these individuals, data on genome-wide gene expression level, biomarkers of glucose and lipid metabolism were also available. Validation of methylation markers associated with all adiposity measures was performed in 358 individuals. Finally, we investigated the association of obesity-related methylation marks with breast, colorectal cancer and myocardial infarction within relevant subsets of the discovery population. RESULTS We identified 40 CpG loci with methylation levels associated with at least one adiposity measure. Of these, one CpG locus (cg06500161) in ABCG1 was associated with all four adiposity measures (P = 9.07×10-8 to 3.27×10-18) and lower transcriptional activity of the full-length isoform of ABCG1 (P = 6.00×10-7), higher triglyceride levels (P = 5.37×10-9) and higher triglycerides-to-HDL cholesterol ratio (P = 1.03×10-10). Of the 40 informative and obesity-related CpG loci, two (in IL2RB and FGF18) were significantly associated with colorectal cancer (inversely, P < 1.6×10-3) and one intergenic locus on chromosome 1 was inversely associated with myocardial infarction (P < 1.25×10-3), independently of obesity and established risk factors. CONCLUSION Our results suggest that epigenetic changes, in particular altered DNA methylation patterns, may be an intermediate biomarker at the intersection of obesity and obesity-related diseases, and could offer clues as to underlying biological mechanisms.
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Affiliation(s)
- Gianluca Campanella
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Marc J Gunter
- Section of Nutrition and Metabolism, International Agency for Research on Cancer (IARC), Lyon, France
| | | | - Vittorio Krogh
- Fondazione IRCCS-Istituto Nazionale dei Tumori, Milan, Italy
| | - Domenico Palli
- Istituto per lo Studio e la Prevenzione Oncologica (ISPO Toscana), Florence, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Carlotta Sacerdote
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Piedmont Reference Centre for Epidemiology and Cancer Prevention (CPO Piemonte), Turin, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Unit, Azienda Ospedaliera "Civile-M.P. Arezzo", Ragusa, Italy
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Licia Iacoviello
- Department of Epidemiology and Prevention, IRCCS Istituto Neurologico Mediterraneo Neuromed, Pozzilli (IS), Italy
| | | | - Beatrice Melin
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Per Lenner
- Department of Radiation Sciences, Oncology, Umeå University, Umeå, Sweden
| | - Theo M C M de Kok
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - Panagiotis Georgiadis
- Institute of Biology, Medicinal Chemistry, and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Jos C S Kleinjans
- Department of Toxicogenomics, Maastricht University, Maastricht, The Netherlands
| | - Soterios A Kyrtopoulos
- Institute of Biology, Medicinal Chemistry, and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - H Bas Bueno-de-Mesquita
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands
- Department of Social and Preventive Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Karen A Lillycrop
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Anne M May
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - N Charlotte Onland-Moret
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Robert Murray
- Centre for Biological Sciences, University of Southampton, Southampton, UK
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Monique Verschuren
- Centre for Prevention and Health Services Research, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Eiliv Lund
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Nicolle Mode
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Torkjel M Sandanger
- Department of Community Medicine, University of Tromsø (UiT)-The Artic University of Norway, Tromsø, Norway
| | - Valentina Fiano
- Department of Medical Sciences, Unit of Cancer Epidemiology-CERMS, University of Turin, Turin, Italy
| | - Morena Trevisan
- Department of Medical Sciences, Unit of Cancer Epidemiology-CERMS, University of Turin, Turin, Italy
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Philippe Froguel
- CNRS UMR8199, Pasteur Institute of Lille, Lille University, Lille, France
- Department of Genomics of Common Disease, Imperial College London, London, UK
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Paolo Vineis
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK.
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.
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29
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Sayols-Baixeras S, Tiwari HK, Aslibekyan SW. Disentangling associations between DNA methylation and blood lipids: a Mendelian randomization approach. BMC Proc 2018; 12:23. [PMID: 30275879 PMCID: PMC6157243 DOI: 10.1186/s12919-018-0119-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND DNA methylation is an epigenetic mechanism that has been proposed as a possible link between genetic and environmental determinants of disease. Prior studies reported robust associations between the methylation of specific cytosine-phosphate-guanine (CpG) sites and plasma lipids, namely triglycerides (TGs) and high-density lipoprotein cholesterol (HDL-C). However, the causality of the observed association remains elusive, hampered by weak instrumental variables for methylation status. AIM We present a novel application of the elastic net approach to implement a bidirectional Mendelian randomization approach to inferring causal relationships between candidate CpGs and plasma lipids in GAW20 data. METHODS We used DNA methylation, TGs, and HDL-C measured during the visit 2. Based on prior findings, we selected 5 methylation markers (cg00574958, cg07504977, cg06690548, cg19693031, and cg03717755) related to TGs, 2 markers (cg09572125 and cg02650017) related to HDL-C, and 2 markers (cg06500161 and cg11024682) related to both traits. We implemented an elastic net approach to improve the selection of the genetic instrument for the methylation markers, followed by bidirectional Mendelian randomization 2-stage least-squares regression. RESULTS We observed causal effects of blood fasting TGs on the methylation levels of cg00574958 (CPT1A) and cg06690548 (SLC7A11). For cg00574958, our findings were also consistent with the reverse direction of association, that is, from CPT1A methylation to TGs. CONCLUSIONS Current evidence does not rule out either direction of association between the methylation of the cg00574958 CPT1A locus and plasma TGs, highlighting the complexity of lipid homeostasis. We also demonstrated a novel approach to improve instrument selection in DNA methylation studies.
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Affiliation(s)
- Sergi Sayols-Baixeras
- Cardiovascular Epidemiology and Genetics Research Group, IMIM (Hospital del Mar Medical Research Institute), 88 Dr. Aiguader Street, 08003 Barcelona, Catalonia Spain
- Universitat Pompeu Fabra (UPF), 80 Dr. Aiguader Street, 08003 Barcelona, Catalonia Spain
- CIBER Cardiovascular Diseases (CIVERCV), 88 Dr. Aiguader Street, 08003 Barcelona, Catalonia Spain
| | - Hemant K. Tiwari
- Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL USA
| | - Stella W. Aslibekyan
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, 1665 University Blvd, Birmingham, AL USA
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30
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Dhana K, Braun KVE, Nano J, Voortman T, Demerath EW, Guan W, Fornage M, van Meurs JBJ, Uitterlinden AG, Hofman A, Franco OH, Dehghan A. An Epigenome-Wide Association Study of Obesity-Related Traits. Am J Epidemiol 2018; 187:1662-1669. [PMID: 29762635 DOI: 10.1093/aje/kwy025] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2017] [Accepted: 02/01/2018] [Indexed: 12/15/2022] Open
Abstract
We conducted an epigenome-wide association study on obesity-related traits. We used data from 2 prospective, population-based cohort studies: the Rotterdam Study (RS) (2006-2013) and the Atherosclerosis Risk in Communities (ARIC) Study (1990-1992). We used the RS (n = 1,450) as the discovery panel and the ARIC Study (n = 2,097) as the replication panel. Linear mixed-effect models were used to assess the cross-sectional associations between genome-wide DNA methylation in leukocytes and body mass index (BMI) and waist circumference (WC), adjusting for sex, age, smoking, leukocyte proportions, array number, and position on array. The latter 2 variables were modeled as random effects. Fourteen 5'-C-phosphate-G-3' (CpG) sites were associated with BMI and 26 CpG sites with WC in the RS after Bonferroni correction (P < 1.07 × 10-7), of which 12 and 13 CpGs were replicated in the ARIC Study, respectively. The most significant novel CpGs were located on the Musashi RNA binding protein 2 gene (MSI2; cg21139312) and the leucyl-tRNA synthetase 2, mitochondrial gene (LARS2; cg18030453) and were associated with both BMI and WC. CpGs at BRDT, PSMD1, IFI44L, MAP1A, and MAP3K5 were associated with BMI. CpGs at LGALS3BP, MAP2K3, DHCR24, CPSF4L, and TMEM49 were associated with WC. We report novel associations between methylation at MSI2 and LARS2 and obesity-related traits. These results provide further insight into mechanisms underlying obesity-related traits, which can enable identification of new biomarkers in obesity-related chronic diseases.
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Affiliation(s)
- Klodian Dhana
- Department of Epidemiology, Erasmus University Medical Center
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Kim V E Braun
- Department of Epidemiology, Erasmus University Medical Center
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Rotterdam Intergenerational Ageing Research Center
| | - Jana Nano
- Department of Epidemiology, Erasmus University Medical Center
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center
- Rotterdam Intergenerational Ageing Research Center
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota
| | - Myriam Fornage
- Human Genetics Center, School of Public Health, University of Texas Health Sciences Center at Houston, Houston, Texas
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas
| | | | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center
- Department of Internal Medicine, Erasmus University Medical Center
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center
- Rotterdam Intergenerational Ageing Research Center
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center
- Department of Epidemiology, Imperial College London, London, United Kingdom
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31
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Kang PM, Kim YJ, Seo WT, Kang SH, Kim TS, Chun BK, Seo WI, Jeong JY, Chung JI. Correlation between 5-α reductase type 2 protein expression and methylation of 5-α reductase type 2 promotor gene of benign prostatic hyperplasia. World J Urol 2018; 37:709-718. [PMID: 30069579 DOI: 10.1007/s00345-018-2422-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 07/25/2018] [Indexed: 12/14/2022] Open
Abstract
PURPOSE The enzyme 5-α reductase type 2 (5-AR 2) plays a key role in the development and maintenance of the prostate gland. We evaluated the level 5-AR 2 protein expression and the relationship between methylation of the 5-AR 2 gene-promoter and 5-AR 2 protein expression of benign prostatic hyperplasia (BPH). MATERIALS AND METHODS A total of 37 prostate samples were evaluated. These included 22 samples from men undergoing transurethral prostate resections and 15 non-cancerous transition-zone human prostate tissue samples taken following radical prostatectomy. We quantified 5-AR 2 protein expression and gene-promoter methylation status using common assay procedures. Clinical variables included age, body mass index (BMI), prostate-specific antigen (PSA) levels, lipid profiles, and prostate volumes. Univariate and multivariate statistical analyses were performed followed by stepwise logistic regression modeling. RESULTS We were able to extract DNA from 36 of the 37 tissue samples and 10 of these (28%) did not express the 5-AR 2 protein. In total, 26 patients (72%) had methylated 5-AR 2 promoter-regions. There was a strong correlation between methylation of the 5-AR 2 promoter-regions and low-absent 5-AR 2 protein expression (p = 0.0003). Increasing age significantly predicted methylation status and protein expression level (p = 0.013). CONCLUSIONS The level of 5-AR 2 protein expression varies among prostate tissue samples. Methylation of the 5-AR 2 gene-promoter may account for low or absent expression of 5-AR 2 in adult human prostate tissues. Increased age correlates with increased 5-AR 2 gene-promoter methylation and decreased protein expression in men with BPH.
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Affiliation(s)
- Pil Moon Kang
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Young Jin Kim
- Department of Biochemistry, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan, 49267, Korea.,Cancer Research Institute, Kosin University College of Medicine, Busan, Korea
| | - Won Tae Seo
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Su Hwan Kang
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Taek Sang Kim
- Department of Urology, Kosin Gospel Hospital, Kosin University College of Medicine, Busan, Korea
| | - Bong Kwon Chun
- Department of Pathology, Kosin University College of Medicine, Busan, Korea
| | - Won Ik Seo
- Department of Urology, Busan Paik Hospital, Inje University College of Medicine, Gaegeum-dong, Busanjin-gu, Busan, 614-735, Korea
| | - Jee-Yeong Jeong
- Department of Biochemistry, Kosin University College of Medicine, 262 Gamcheon-ro, Seo-gu, Busan, 49267, Korea. .,Cancer Research Institute, Kosin University College of Medicine, Busan, Korea.
| | - Jae Il Chung
- Department of Urology, Busan Paik Hospital, Inje University College of Medicine, Gaegeum-dong, Busanjin-gu, Busan, 614-735, Korea.
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32
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Akinyemiju T, Do AN, Patki A, Aslibekyan S, Zhi D, Hidalgo B, Tiwari HK, Absher D, Geng X, Arnett DK, Irvin MR. Epigenome-wide association study of metabolic syndrome in African-American adults. Clin Epigenetics 2018; 10:49. [PMID: 29643945 PMCID: PMC5891946 DOI: 10.1186/s13148-018-0483-2] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2017] [Accepted: 03/27/2018] [Indexed: 01/10/2023] Open
Abstract
Background The high prevalence of obesity among US adults has resulted in significant increases in associated metabolic disorders such as diabetes, dyslipidemia, and high blood pressure. Together, these disorders constitute metabolic syndrome, a clinically defined condition highly prevalent among African-Americans. Identifying epigenetic alterations associated with metabolic syndrome may provide additional information regarding etiology beyond current evidence from genome-wide association studies. Methods Data on metabolic syndrome and DNA methylation was assessed on 614 African-Americans from the Hypertension Genetic Epidemiology Network (HyperGEN) study. Metabolic syndrome was defined using the joint harmonized criteria, and DNA methylation was assessed using the Illumina HumanMethylation450K Bead Chip assay on DNA extracted from buffy coat. Linear mixed effects regression models were used to examine the association between CpG methylation at > 450,000 CpG sites and metabolic syndrome adjusted for study covariates. Replication using DNA from a separate sample of 69 African-Americans, as well as meta-analysis combining both cohorts, was conducted. Results Two differentially methylated CpG sites in the IGF2BP1 gene on chromosome 17 (cg06638433; p value = 3.10 × 10− 7) and the ABCG1 gene on chromosome 21 (cg06500161; p value = 2.60 × 10− 8) were identified. Results for the ABCG1 gene remained statistically significant in the replication dataset and meta-analysis. Conclusion Metabolic syndrome was consistently associated with increased methylation in the ABCG1 gene in the discovery and replication datasets, a gene that encodes a protein in the ATP-binding cassette transporter family and is involved in intra- and extra-cellular signaling and lipid transport. Electronic supplementary material The online version of this article (10.1186/s13148-018-0483-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Tomi Akinyemiju
- 1Department of Epidemiology, University of Kentucky, Lexington, KY USA
| | - Anh N Do
- 2Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Amit Patki
- 3Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL USA
| | - Stella Aslibekyan
- 2Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Degui Zhi
- 4School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA.,5School of Public Health, University of Texas Health Science Center at Houston, Houston, TX USA
| | - Bertha Hidalgo
- 2Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
| | - Hemant K Tiwari
- 3Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL USA
| | - Devin Absher
- 6HudsonAlpha Institute for Biotechnology, Huntsville, AL USA
| | - Xin Geng
- 4School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX USA
| | - Donna K Arnett
- 7College of Public Health, University of Kentucky, Lexington, KY USA
| | - Marguerite R Irvin
- 2Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL USA
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Abstract
PURPOSE OF REVIEW It is becoming increasingly evident that epigenetic mechanisms, particularly DNA methylation, play a role in the regulation of blood lipid levels and lipid metabolism-linked phenotypes and diseases. RECENT FINDINGS Recent genome-wide methylation and candidate gene studies of blood lipids have highlighted several robustly replicated methylation markers across different ethnicities. Furthermore, many of these lipid-related CpG sites associated with blood lipids are also linked to lipid-related phenotypes and diseases. Integrating epigenome-wide association studies (EWAS) data with other layers of molecular data such as genetics or the transcriptome, accompanied by relevant statistical methods (e.g. Mendelian randomization), provides evidence for causal relationships. Recent data suggest that epigenetic changes can be consequences rather than causes of dyslipidemia. There is sparse information on many lipid classes and disorders of lipid metabolism, and also on the interplay of DNA methylation with other epigenetic layers such as histone modifications and regulatory RNAs. SUMMARY The current review provides a literature overview of epigenetic modifications in lipid metabolism and other lipid-related phenotypes and diseases focusing on EWAS of DNA methylation from January 2016 to September 2017. Recent studies strongly support the importance of epigenetic modifications, such as DNA methylation, in lipid metabolism and related diseases for relevant biological insights, reliable biomarkers, and even future therapeutics.
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Affiliation(s)
- Kirstin Mittelstraß
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology
- Institute of Epidemiology, Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Neuherberg, Germany
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Xu K, Zhang X, Wang Z, Hu Y, Sinha R. Epigenome-wide association analysis revealed that SOCS3 methylation influences the effect of cumulative stress on obesity. Biol Psychol 2018; 131:63-71. [PMID: 27826092 PMCID: PMC5419875 DOI: 10.1016/j.biopsycho.2016.11.001] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Revised: 10/03/2016] [Accepted: 11/03/2016] [Indexed: 12/20/2022]
Abstract
Chronic stress has a significant impact on obesity. However, how stress influences obesity remains unclear. We conducted an epigenome-wide DNA methylation association analysis of obesity (N=510) and examined whether cumulative stress influenced the DNA methylation on body weight. We identified 20 CpG sites associated with body mass index at the false discovery rate q<0.05, including a novel site, cg18181703, in suppressor of cytokine signaling 3 (SOCS3) gene (coefficient β=-0.0022, FDR q=4.94×10-5). The interaction between cg18181703 and cumulative adverse life stress contributed to variations in body weight (p=0.002). Individuals with at least five major life events and lower methylation of cg1818703 showed a 1.38-fold higher risk of being obese (95%CI: 1.17-1.76). Our findings suggest that aberrant in DNA methylation is associated with body weight and that methylation of SOCS3 moderates the effect of cumulative stress on obesity.
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Affiliation(s)
- Ke Xu
- Department of Psychiatry, Yale School of Medicine, 300 George street, Suite 901, New Haven, CT 06511, United States; Connecticut Veteran Health System, 950 Campbell Ave, Building 35, Room #43, West Haven, 06516, United States.
| | - Xinyu Zhang
- Department of Psychiatry, Yale School of Medicine, 300 George street, Suite 901, New Haven, CT 06511, United States; Connecticut Veteran Health System, 950 Campbell Ave, Building 35, Room #43, West Haven, 06516, United States
| | - Zuoheng Wang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT 06511, United States
| | - Ying Hu
- Yale Stress Center, Yale University, 2 Church St S #209, New Haven, CT 06519, United States
| | - Rajita Sinha
- Department of Psychiatry, Yale School of Medicine, 300 George street, Suite 901, New Haven, CT 06511, United States; Center for Biomedical Informatics and Information Technology, National Cancer Institute, 9609 Medical Center Drive, Rockville, MD 20850, United States
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35
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Hedman ÅK, Mendelson MM, Marioni RE, Gustafsson S, Joehanes R, Irvin MR, Zhi D, Sandling JK, Yao C, Liu C, Liang L, Huan T, McRae AF, Demissie S, Shah S, Starr JM, Cupples LA, Deloukas P, Spector TD, Sundström J, Krauss RM, Arnett DK, Deary IJ, Lind L, Levy D, Ingelsson E. Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association Studies. ACTA ACUST UNITED AC 2017; 10:CIRCGENETICS.116.001487. [PMID: 28213390 PMCID: PMC5331877 DOI: 10.1161/circgenetics.116.001487] [Citation(s) in RCA: 81] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 11/14/2016] [Indexed: 11/28/2022]
Abstract
Supplemental Digital Content is available in the text. Background— Genome-wide association studies have identified loci influencing circulating lipid concentrations in humans; further information on novel contributing genes, pathways, and biology may be gained through studies of epigenetic modifications. Methods and Results— To identify epigenetic changes associated with lipid concentrations, we assayed genome-wide DNA methylation at cytosine–guanine dinucleotides (CpGs) in whole blood from 2306 individuals from 2 population-based cohorts, with replication of findings in 2025 additional individuals. We identified 193 CpGs associated with lipid levels in the discovery stage (P<1.08E-07) and replicated 33 (at Bonferroni-corrected P<0.05), including 25 novel CpGs not previously associated with lipids. Genes at lipid-associated CpGs were enriched in lipid and amino acid metabolism processes. A differentially methylated locus associated with triglycerides and high-density lipoprotein cholesterol (HDL-C; cg27243685; P=8.1E-26 and 9.3E-19) was associated with cis-expression of a reverse cholesterol transporter (ABCG1; P=7.2E-28) and incident cardiovascular disease events (hazard ratio per SD increment, 1.38; 95% confidence interval, 1.15–1.66; P=0.0007). We found significant cis-methylation quantitative trait loci at 64% of the 193 CpGs with an enrichment of signals from genome-wide association studies of lipid levels (PTC=0.004, PHDL-C=0.008 and Ptriglycerides=0.00003) and coronary heart disease (P=0.0007). For example, genome-wide significant variants associated with low-density lipoprotein cholesterol and coronary heart disease at APOB were cis-methylation quantitative trait loci for a low-density lipoprotein cholesterol–related differentially methylated locus. Conclusions— We report novel associations of DNA methylation with lipid levels, describe epigenetic mechanisms related to previous genome-wide association studies discoveries, and provide evidence implicating epigenetic regulation of reverse cholesterol transport in blood in relation to occurrence of cardiovascular disease events.
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Affiliation(s)
- Åsa K Hedman
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Michael M Mendelson
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Riccardo E Marioni
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Stefan Gustafsson
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Roby Joehanes
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Marguerite R Irvin
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Degui Zhi
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Johanna K Sandling
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Chen Yao
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Chunyu Liu
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Liming Liang
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Tianxiao Huan
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Allan F McRae
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Serkalem Demissie
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Sonia Shah
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - John M Starr
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - L Adrienne Cupples
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Panos Deloukas
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Timothy D Spector
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Johan Sundström
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Ronald M Krauss
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Donna K Arnett
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Ian J Deary
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Lars Lind
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Daniel Levy
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.)
| | - Erik Ingelsson
- From the Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory (Å.K.H., S.G., E.I.) and Department of Medical Sciences, Molecular Medicine and Science for Life Laboratory (J.K.S.), Uppsala University, Sweden; Cardiovascular Medicine unit, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden (Å.K.H.) Framingham Heart Study, MA (M.M.M., R.J., C.Y., C.L., T.H., S.D., L.A.C., D.L.); Department of Biostatistics (C.L., L.A.C., S.D.), Boston University, MA; Boston University, MA (M.M.M.); Department of Cardiology, Boston Children's Hospital, MA (M.M.M.); Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD (M.M.M., R.J., C.Y., C.L., T.H., D.L.); Centre for Cognitive Ageing and Cognitive Epidemiology (R.E.M., J.M.S., I.J.D.), Medical Genetics Section, Centre for Genomics and Experimental Medicine, Institute of Genetics and Molecular Medicine (R.E.M.), Alzheimer Scotland Dementia Research Centre (J.M.S.), and Department of Psychology (I.J.D.), University of Edinburgh, United Kingdom; Queensland Brain Institute, The University of Queensland, Brisbane, Australia (R.E.M., A.F.M., S.S.); Institute for Molecular Bioscience, University of Queensland, Brisbane, Queensland, Australia (S.S., A.F.M.); Hebrew Senior Life, Harvard Medical School, Boston, MA (R.J.); Department of Epidemiology, School of Public Health (M.R.I.) and Department of Biostatistics, Section on Statistical Genetics (D.Z.), University of Alabama at Birmingham; Department of Biostatistics, Harvard School of Public Health, Boston, MA (L. Liang); William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, United Kingdom (P.D.); Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders (PACER-HD), King Abdulaziz University, Jeddah, Saudi Arabia (P.D.); Department of Twin Research and Genetic Epidemiology, King's College London, United Kingdom (T.D.S.); Deparment of Medical Sciences, Cardiovascular Epidemiology, Uppsala University Hospital, Sweden (J.S., L.L.); Children's Hospital Oakland Research Institute, CA (R.M.K.); College of Public Health, University of Kentucky, Lexington (D.K.A.); and Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, CA (E.I.).
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Truong V, Huang S, Dennis J, Lemire M, Zwingerman N, Aïssi D, Kassam I, Perret C, Wells P, Morange PE, Wilson M, Trégouët DA, Gagnon F. Blood triglyceride levels are associated with DNA methylation at the serine metabolism gene PHGDH. Sci Rep 2017; 7:11207. [PMID: 28894120 PMCID: PMC5593822 DOI: 10.1038/s41598-017-09552-z] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 07/18/2017] [Indexed: 12/14/2022] Open
Abstract
Efficient interventions to reduce blood triglycerides are few; newer and more tolerable intervention targets are needed. Understanding the molecular mechanisms underlying blood triglyceride levels variation is key to identifying new therapies. To explore the role of epigenetic mechanisms on triglyceride levels, a blood methylome scan was conducted in 199 individuals from 5 French-Canadian families ascertained on venous thromboembolism, and findings were replicated in 324 French unrelated patients with venous thromboembolism. Genetic context and functional relevance were investigated. Two DNA methylation sites associated with triglyceride levels were identified. The first one, located in the ABCG1 gene, was recently reported, whereas the second one, located in the promoter of the PHGDH gene, is novel. The PHGDH methylation site, cg14476101, was found to be associated with variation in triglyceride levels in a threshold manner: cg14476101 was inversely associated with triglyceride levels only when triglyceride levels were above 1.12 mmol/L (discovery P-value = 8.4 × 10-6; replication P-value = 0.0091). Public databases findings supported a functional role of cg14476101 on PHGDH expression. PHGDH catalyses the first step in the serine biosynthesis pathway. These findings highlight the role of epigenetic regulation of the PHGDH gene in triglyceride metabolism, providing novel insights on putative intervention targets.
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Affiliation(s)
- Vinh Truong
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Siying Huang
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Jessica Dennis
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Nora Zwingerman
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Dylan Aïssi
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Irfahan Kassam
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Claire Perret
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Philip Wells
- Department of Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Canada
| | | | - Michael Wilson
- Genetics and Genome Biology Program, SickKids Research Institute, Toronto, Canada
| | - David-Alexandre Trégouët
- Sorbonne Universités, UPMC Univ. Paris 06, INSERM, UMR_S 1166, Team Genomics & Pathophysiology of Cardiovascular Diseases, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - France Gagnon
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
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Boyle KE, Patinkin ZW, Shapiro ALB, Bader C, Vanderlinden L, Kechris K, Janssen RC, Ford RJ, Smith BK, Steinberg GR, Davidson EJ, Yang IV, Dabelea D, Friedman JE. Maternal obesity alters fatty acid oxidation, AMPK activity, and associated DNA methylation in mesenchymal stem cells from human infants. Mol Metab 2017; 6:1503-1516. [PMID: 29107296 PMCID: PMC5681274 DOI: 10.1016/j.molmet.2017.08.012] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2017] [Revised: 08/22/2017] [Accepted: 08/25/2017] [Indexed: 12/20/2022] Open
Abstract
Objective Infants born to mothers with obesity have greater adiposity, ectopic fat storage, and are at increased risk for childhood obesity and metabolic disease compared with infants of normal weight mothers, though the cellular mechanisms mediating these effects are unclear. Methods We tested the hypothesis that human, umbilical cord-derived mesenchymal stem cells (MSCs) from infants born to obese (Ob-MSC) versus normal weight (NW-MSC) mothers demonstrate altered fatty acid metabolism consistent with adult obesity. In infant MSCs undergoing myogenesis in vitro, we measured cellular lipid metabolism and AMPK activity, AMPK activation in response to cellular nutrient stress, and MSC DNA methylation and mRNA content of genes related to oxidative metabolism. Results We found that Ob-MSCs exhibit greater lipid accumulation, lower fatty acid oxidation (FAO), and dysregulation of AMPK activity when undergoing myogenesis in vitro. Further experiments revealed a clear phenotype distinction within the Ob-MSC group where more severe MSC metabolic perturbation corresponded to greater neonatal adiposity and umbilical cord blood insulin levels. Targeted analysis of DNA methylation array revealed Ob-MSC hypermethylation in genes regulating FAO (PRKAG2, ACC2, CPT1A, SDHC) and corresponding lower mRNA content of these genes. Moreover, MSC methylation was positively correlated with infant adiposity. Conclusions These data suggest that greater infant adiposity is associated with suppressed AMPK activity and reduced lipid oxidation in MSCs from infants born to mothers with obesity and may be an important, early marker of underlying obesity risk. Mesenchymal stem cells from infants of obese mothers have greater lipid content in vitro. This is attributable to lower fatty acid oxidation, not greater fatty acid uptake. AMPK is dysregulated in these cells and corresponds to higher infant adiposity. Epigenetic differences in genes regulating these pathways are observed in the cells.
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Affiliation(s)
- Kristen E Boyle
- Section of Nutrition, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA.
| | - Zachary W Patinkin
- Section of Nutrition, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Allison L B Shapiro
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Carly Bader
- Section of Nutrition, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Lauren Vanderlinden
- Department of Biostatistics & Bioinformatics, Colorado School of Public Health, Aurora, CO, USA
| | - Katerina Kechris
- Department of Biostatistics & Bioinformatics, Colorado School of Public Health, Aurora, CO, USA
| | - Rachel C Janssen
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
| | - Rebecca J Ford
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Brennan K Smith
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada
| | - Gregory R Steinberg
- Department of Medicine, McMaster University, Hamilton, Ontario, Canada; Department of Biochemistry and Biomedical Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Elizabeth J Davidson
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Ivana V Yang
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Dana Dabelea
- Department of Biostatistics & Bioinformatics, Colorado School of Public Health, Aurora, CO, USA; Department of Pediatrics, University of Colorado School of Medicine, and the Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Jacob E Friedman
- Section of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO, USA
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Bell CG. The Epigenomic Analysis of Human Obesity. Obesity (Silver Spring) 2017; 25:1471-1481. [PMID: 28845613 DOI: 10.1002/oby.21909] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Revised: 05/09/2017] [Accepted: 05/11/2017] [Indexed: 12/31/2022]
Abstract
OBJECTIVE Analysis of the epigenome-the chemical modifications and packaging of the genome that can influence or indicate its activity-enables molecular insight into cell type-specific machinery. It can, therefore, reveal the pathophysiological mechanisms at work in disease. Detected changes can also represent physiological responses to adverse environmental exposures, thus enabling the epigenetic mark of DNA methylation to act as an epidemiological biomarker, even in surrogate tissue. This makes epigenomic analysis an attractive prospect to further understand the pathobiology and epidemiological aspects of obesity. Furthermore, integrating epigenomic data with known obesity-associated common genetic variation can aid in deciphering their molecular mechanisms. METHODS AND CONCLUSIONS This review primarily examines epidemiological or population-based studies of epigenetic modifications in relation to adiposity traits, as opposed to animal or cell models. It discusses recent work exploring the epigenome with respect to human obesity, which to date has predominately consisted of array-based studies of DNA methylation in peripheral blood. It is of note that highly replicated BMI DNA methylation associations are not causal, but strongly driven by coassociations for more precisely measured intertwined outcomes and factors, such as hyperlipidemia, hyperglycemia, and inflammation. Finally, the potential for the future exploration of the epigenome in obesity and related disorders is considered.
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Affiliation(s)
- Christopher G Bell
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
- Epigenomic Medicine, Biological Sciences, Faculty of Environmental and Natural Sciences, University of Southampton, Southampton, UK
- Human Development and Health Academic Unit, Institute of Developmental Sciences, University of Southampton, Southampton, UK
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
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van der Harst P, de Windt LJ, Chambers JC. Translational Perspective on Epigenetics in Cardiovascular Disease. J Am Coll Cardiol 2017; 70:590-606. [PMID: 28750703 PMCID: PMC5543329 DOI: 10.1016/j.jacc.2017.05.067] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 05/30/2017] [Accepted: 05/31/2017] [Indexed: 12/19/2022]
Abstract
A plethora of environmental and behavioral factors interact, resulting in changes in gene expression and providing a basis for the development and progression of cardiovascular diseases. Heterogeneity in gene expression responses among cells and individuals involves epigenetic mechanisms. Advancing technology allowing genome-scale interrogation of epigenetic marks provides a rapidly expanding view of the complexity and diversity of the epigenome. In this review, the authors discuss the expanding landscape of epigenetic modifications and highlight their importance for future understanding of disease. The epigenome provides a mechanistic link between environmental exposures and gene expression profiles ultimately leading to disease. The authors discuss the current evidence for transgenerational epigenetic inheritance and summarize the data linking epigenetics to cardiovascular disease. Furthermore, the potential targets provided by the epigenome for the development of future diagnostics, preventive strategies, and therapy for cardiovascular disease are reviewed. Finally, the authors provide some suggestions for future directions.
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Affiliation(s)
- Pim van der Harst
- Departments of Cardiology and Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Durrer Center for Cardiovascular Research, Netherlands Heart Institute, Utrecht, the Netherlands.
| | - Leon J de Windt
- Department of Cardiology, CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, the Netherlands
| | - John C Chambers
- Department of Epidemiology and Biostatistics, Imperial College London, London, United Kingdom; Ealing Hospital NHS Trust, Middlesex, United Kingdom
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Adeva-Andany MM, Calvo-Castro I, Fernández-Fernández C, Donapetry-García C, Pedre-Piñeiro AM. Significance of l-carnitine for human health. IUBMB Life 2017; 69:578-594. [PMID: 28653367 DOI: 10.1002/iub.1646] [Citation(s) in RCA: 112] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Accepted: 05/24/2017] [Indexed: 12/29/2022]
Abstract
Carnitine acyltransferases catalyze the reversible transfer of acyl groups from acyl-coenzyme A esters to l-carnitine, forming acyl-carnitine esters that may be transported across cell membranes. l-Carnitine is a wáter-soluble compound that humans may obtain both by food ingestion and endogenous synthesis from trimethyl-lysine. Most l-carnitine is intracellular, being present predominantly in liver, skeletal muscle, heart and kidney. The organic cation transporter-2 facilitates l-carnitine uptake inside cells. Congenital dysfunction of this transporter causes primary l-carnitine deficiency. Carnitine acetyltransferase is involved in the export of excess acetyl groups from the mitochondria and in acetylation reactions that regulate gene transcription and enzyme activity. Carnitine octanoyltransferase is a peroxysomal enzyme required for the complete oxidation of very long-chain fatty acids and phytanic acid, a branched-chain fatty acid. Carnitine palmitoyltransferase-1 is a transmembrane protein located on the outer mitochondrial membrane where it catalyzes the conversion of acyl-coenzyme A esters to acyl-carnitine esters. Carnitine acyl-carnitine translocase transports acyl-carnitine esters across the inner mitochondrial membrane in exchange for free l-carnitine that exits the mitochondrial matrix. Carnitine palmitoyltransferase-2 is anchored on the matrix side of the inner mitochondrial membrane, where it converts acyl-carnitine esters back to acyl-coenzyme A esters, which may be used in metabolic pathways, such as mitochondrial β-oxidation. l-Carnitine enhances nonoxidative glucose disposal under euglycemic hyperinsulinemic conditions in both healthy individuals and patients with type 2 diabetes, suggesting that l-carnitine strengthens insulin effect on glycogen storage. The plasma level of acyl-carnitine esters, primarily acetyl-carnitine, increases during diabetic ketoacidosis, fasting, and physical activity, particularly high-intensity exercise. Plasma concentration of free l-carnitine decreases simultaneously under these conditions. © 2017 IUBMB Life, 69(8):578-594, 2017.
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Fall T, Mendelson M, Speliotes EK. Recent Advances in Human Genetics and Epigenetics of Adiposity: Pathway to Precision Medicine? Gastroenterology 2017; 152:1695-1706. [PMID: 28214526 PMCID: PMC5576453 DOI: 10.1053/j.gastro.2017.01.054] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2016] [Revised: 01/26/2017] [Accepted: 01/30/2017] [Indexed: 12/26/2022]
Abstract
Obesity is a heritable trait that contributes to substantial global morbidity and mortality. Here, we summarize findings from the past decade of genetic and epigenetic research focused on unravelling the underpinnings of adiposity. More than 140 genetic regions now are known to influence adiposity traits. The genetics of general adiposity, as measured by body mass index, and that of abdominal obesity, as measured by waist-to-hip ratio, have distinct biological backgrounds. Gene expression associated with general adiposity is enriched in the nervous system. In contrast, genes associated with abdominal adiposity function in adipose tissue. Recent population-based epigenetic analyses have highlighted additional distinct loci. We discuss how associated genetic variants can lead to understanding causal mechanisms, and to disentangling reverse causation in epigenetic analyses. Discoveries emerging from population genomics are identifying new disease markers and potential novel drug targets to better define and combat obesity and related diseases.
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Affiliation(s)
- Tove Fall
- Department of Medical Sciences and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Michael Mendelson
- The Framingham Heart Study, Framingham, Massachusetts,Population Sciences Branch, National Heart, Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland,Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Elizabeth K. Speliotes
- Department of Internal Medicine, Division of Gastroenterology,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan
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The epigenetic landscape of age-related diseases: the geroscience perspective. Biogerontology 2017; 18:549-559. [PMID: 28352958 PMCID: PMC5514215 DOI: 10.1007/s10522-017-9695-7] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2017] [Accepted: 03/14/2017] [Indexed: 12/11/2022]
Abstract
In this review, we summarize current knowledge regarding the epigenetics of age-related diseases, focusing on those studies that have described DNA methylation landscape in cardio-vascular diseases, musculoskeletal function and frailty. We stress the importance of adopting the conceptual framework of “geroscience”, which starts from the observation that advanced age is the major risk factor for several of these pathologies and aims at identifying the mechanistic links between aging and age-related diseases. DNA methylation undergoes a profound remodeling during aging, which includes global hypomethylation of the genome, hypermethylation at specific loci and an increase in inter-individual variation and in stochastic changes of DNA methylation values. These epigenetic modifications can be an important contributor to the development of age-related diseases, but our understanding on the complex relationship between the epigenetic signatures of aging and age-related disease is still poor. The most relevant results in this field come from the use of the so called “epigenetics clocks” in cohorts of subjects affected by age-related diseases. We report these studies in final section of this review.
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Braun KVE, Dhana K, de Vries PS, Voortman T, van Meurs JBJ, Uitterlinden AG, Hofman A, Hu FB, Franco OH, Dehghan A. Epigenome-wide association study (EWAS) on lipids: the Rotterdam Study. Clin Epigenetics 2017; 9:15. [PMID: 28194238 PMCID: PMC5297218 DOI: 10.1186/s13148-016-0304-4] [Citation(s) in RCA: 88] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 12/19/2016] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND DNA methylation is a key epigenetic mechanism that is suggested to be associated with blood lipid levels. We aimed to identify CpG sites at which DNA methylation levels are associated with blood levels of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol in 725 participants of the Rotterdam Study, a population-based cohort study. Subsequently, we sought replication in a non-overlapping set of 760 participants. RESULTS Genome-wide methylation levels were measured in whole blood using the Illumina Methylation 450 array. Associations between lipid levels and DNA methylation beta values were examined using linear mixed-effect models. All models were adjusted for sex, age, smoking, white blood cell proportions, array number, and position on array. A Bonferroni-corrected p value lower than 1.08 × 10-7 was considered statistically significant. Five CpG sites annotated to genes including DHCR24, CPT1A, ABCG1, and SREBF1 were identified and replicated. Four CpG sites were associated with triglycerides, including CpG sites annotated to CPT1A (cg00574958 and cg17058475), ABCG1 (cg06500161), and SREBF1 (cg11024682). Two CpG sites were associated with HDL-C, including ABCG1 (cg06500161) and DHCR24 (cg17901584). No significant associations were observed with LDL-C or total cholesterol. CONCLUSIONS We report an association of HDL-C levels with methylation of a CpG site near DHCR24, a protein-coding gene involved in cholesterol biosynthesis, which has previously been reported to be associated with other metabolic traits. Furthermore, we confirmed previously reported associations of methylation of CpG sites within CPT1A, ABCG1, and SREBF1 and lipids. These results provide insight in the mechanisms that are involved in lipid metabolism.
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Affiliation(s)
- Kim V E Braun
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Klodian Dhana
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Paul S de Vries
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands.,Human Genetics Center, University of Texas Health Science Center at Houston, Houston, TX USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands.,Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands.,The Netherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA), Leiden/Rotterdam, The Netherlands
| | | | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA USA
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Dr. Molewaterplein 50, Office NA2906, PO Box 2040, 3000 CA Rotterdam, The Netherlands
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Lai CQ, Wojczynski MK, Parnell LD, Hidalgo BA, Irvin MR, Aslibekyan S, Province MA, Absher DM, Arnett DK, Ordovás JM. Epigenome-wide association study of triglyceride postprandial responses to a high-fat dietary challenge. J Lipid Res 2016; 57:2200-2207. [PMID: 27777315 PMCID: PMC5321216 DOI: 10.1194/jlr.m069948] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Revised: 10/16/2016] [Indexed: 12/18/2022] Open
Abstract
Postprandial lipemia (PPL), the increased plasma TG concentration after consuming a high-fat meal, is an independent risk factor for CVD. Individual responses to a meal high in fat vary greatly, depending on genetic and lifestyle factors. However, only a few loci have been associated with TG-PPL response. Heritable epigenomic changes may be significant contributors to the unexplained inter-individual PPL variability. We conducted an epigenome-wide association study on 979 subjects with DNA methylation measured from CD4+ T cells, who were challenged with a high-fat meal as a part of the Genetics of Lipid Lowering Drugs and Diet Network study. Eight methylation sites encompassing five genes, LPP, CPT1A, APOA5, SREBF1, and ABCG1, were significantly associated with PPL response at an epigenome-wide level (P < 1.1 × 10−7), but no methylation site reached epigenome-wide significance after adjusting for baseline TG levels. Higher methylation at LPP, APOA5, SREBF1, and ABCG1, and lower methylation at CPT1A methylation were correlated with an increased TG-PPL response. These PPL-associated methylation sites, also correlated with fasting TG, account for a substantially greater amount of phenotypic variance (14.9%) in PPL and fasting TG (16.3%) when compared with the genetic contribution of loci identified by our previous genome-wide association study (4.5%). In summary, the epigenome is a large contributor to the variation in PPL, and this has the potential to be used to modulate PPL and reduce CVD.
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Affiliation(s)
- Chao-Qiang Lai
- USDA Agricultural Research Service, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Mary K Wojczynski
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Laurence D Parnell
- USDA Agricultural Research Service, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
| | - Bertha A Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL
| | - Marguerite Ryan Irvin
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL
| | - Stella Aslibekyan
- Department of Epidemiology, School of Public Health, University of Alabama, Birmingham, AL
| | - Michael A Province
- Department of Genetics, Washington University School of Medicine, St. Louis, MO
| | - Devin M Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY
| | - José M Ordovás
- Nutrition and Genomics Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University, Boston, MA
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Sayols-Baixeras S, Irvin MR, Arnett DK, Elosua R, Aslibekyan SW. Epigenetics of Lipid Phenotypes. CURRENT CARDIOVASCULAR RISK REPORTS 2016; 10:31. [PMID: 28496562 PMCID: PMC5421987 DOI: 10.1007/s12170-016-0513-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Dyslipidemia is a well-established risk factor for cardiovascular disease, the main cause of death worldwide. Blood lipid profiles are patterned by both genetic and environmental factors. In recent years, epigenetics has emerged as a paradigm that unifies these influences. In this review, we have summarized the latest evidence implicating epigenetic mechanisms-DNA methylation, histone modification, and regulation by RNAs-in lipid homeostasis. Key findings have emerged in a number of novel epigenetic loci located in biologically plausible genes (e.g. CPT1A, ABCG1, SREBF1, and others), as well as microRNA-33a/b. Evidence from animal and cell culture models suggests a complex interplay between different classes of epigenetic processes in the lipid-related genomic regions. While epigenetic findings hold the potential to explain the interindividual variability in lipid profiles as well as the underlying mechanisms, they have yet to be translated into effective therapies for dyslipidemia.
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Affiliation(s)
- Sergi Sayols-Baixeras
- Cardiovascular Epidemiology and Genetics Group, Institut Hospital del Mar d'Investigacions Mediques (IMIM), Dr. Aiguader, 88, Barcelona 08003, Spain, Universitat Pompeu Fabra (UPF), Barcelona 08003, Spain, (tel) 34-93-316-07-27, (fax) 34-93-316-04-10
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 220F, Birmingham, AL 35205, USA, (tel) 1-205-975-7672, (fax)1-205-975-3329
| | - Donna K Arnett
- College of Public Health, University of Kentucky, 111 Washington Avenue, Lexington, KY 40536, USA, (tel) 1-859-257-5678, (fax) 1-859-257-8811
| | - Roberto Elosua
- Cardiovascular Epidemiology and Genetics Group, Institut Hospital del Mar d'Investigacions Mediques (IMIM), Dr. Aiguader, 88, Barcelona 08003, Spain, (tel) 34-93-316-08-00, (fax) 34-93-316-04-10
| | - Stella W Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, 1665 University Blvd, RPHB 230J, Birmingham, AL 35205, USA, (tel) 1-205-975-7675, (fax) 1-205-975-3329
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Dekkers KF, van Iterson M, Slieker RC, Moed MH, Bonder MJ, van Galen M, Mei H, Zhernakova DV, van den Berg LH, Deelen J, van Dongen J, van Heemst D, Hofman A, Hottenga JJ, van der Kallen CJH, Schalkwijk CG, Stehouwer CDA, Tigchelaar EF, Uitterlinden AG, Willemsen G, Zhernakova A, Franke L, 't Hoen PAC, Jansen R, van Meurs J, Boomsma DI, van Duijn CM, van Greevenbroek MMJ, Veldink JH, Wijmenga C, van Zwet EW, Slagboom PE, Jukema JW, Heijmans BT. Blood lipids influence DNA methylation in circulating cells. Genome Biol 2016; 17:138. [PMID: 27350042 PMCID: PMC4922056 DOI: 10.1186/s13059-016-1000-6] [Citation(s) in RCA: 126] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Accepted: 06/06/2016] [Indexed: 01/19/2023] Open
Abstract
Background Cells can be primed by external stimuli to obtain a long-term epigenetic memory. We hypothesize that long-term exposure to elevated blood lipids can prime circulating immune cells through changes in DNA methylation, a process that may contribute to the development of atherosclerosis. To interrogate the causal relationship between triglyceride, low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol levels and genome-wide DNA methylation while excluding confounding and pleiotropy, we perform a stepwise Mendelian randomization analysis in whole blood of 3296 individuals. Results This analysis shows that differential methylation is the consequence of inter-individual variation in blood lipid levels and not vice versa. Specifically, we observe an effect of triglycerides on DNA methylation at three CpGs, of LDL cholesterol at one CpG, and of HDL cholesterol at two CpGs using multivariable Mendelian randomization. Using RNA-seq data available for a large subset of individuals (N = 2044), DNA methylation of these six CpGs is associated with the expression of CPT1A and SREBF1 (for triglycerides), DHCR24 (for LDL cholesterol) and ABCG1 (for HDL cholesterol), which are all key regulators of lipid metabolism. Conclusions Our analysis suggests a role for epigenetic priming in end-product feedback control of lipid metabolism and highlights Mendelian randomization as an effective tool to infer causal relationships in integrative genomics data. Electronic supplementary material The online version of this article (doi:10.1186/s13059-016-1000-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Koen F Dekkers
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Maarten van Iterson
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Roderick C Slieker
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Matthijs H Moed
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Marc Jan Bonder
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Michiel van Galen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Hailiang Mei
- Sequence Analysis Support Core, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Daria V Zhernakova
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Leonard H van den Berg
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
| | - Joris Deelen
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Jenny van Dongen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Albert Hofman
- Department of Genetic Epidemiology, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Jouke J Hottenga
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Carla J H van der Kallen
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Casper G Schalkwijk
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Coen D A Stehouwer
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Ettje F Tigchelaar
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Gonneke Willemsen
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, VU University Amsterdam, Neuroscience Campus Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Genetic Epidemiology, ErasmusMC, 's-Gravendijkwal 230, Rotterdam, The Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine and School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, P. Debyelaan 25, Maastricht, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, The Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Broerstraat 5, Groningen, The Netherlands
| | | | - Erik W van Zwet
- Department of Medical Statistics and Bioinformatics, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology section, Leiden University Medical Center, Einthovenweg 20, Leiden, The Netherlands.
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Abstract
PURPOSE OF REVIEW The interplay between lipids and epigenetic mechanisms has recently gained increased interest because of its relevance for common diseases and most notably atherosclerosis. This review discusses recent advances in unravelling this interplay with a particular focus on promising approaches and methods that will be able to establish causal relationships. RECENT FINDINGS Complementary approaches uncovered close links between circulating lipids and epigenetic mechanisms at multiple levels. A characterization of lipid-associated genetic variants suggests that these variants exert their influence on lipid levels through epigenetic changes in the liver. Moreover, exposure of monocytes to lipids persistently alters their epigenetic makeup resulting in more proinflammatory cells. Hence, epigenetic changes can both impact on and be induced by lipids. SUMMARY It is the combined application of technological advances to probe epigenetic modifications at a genome-wide scale and methodological advances aimed at causal inference (including Mendelian randomization and integrative genomics) that will elucidate the interplay between circulating lipids and epigenetics. Understanding its role in the development of atherosclerosis holds the promise of identifying a new category of therapeutic targets, since epigenetic changes are amenable to reversal.
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Affiliation(s)
- Koen F Dekkers
- aMolecular Epidemiology section bDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands
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Ma Y, Smith CE, Lai CQ, Irvin MR, Parnell LD, Lee YC, Pham LD, Aslibekyan S, Claas SA, Tsai MY, Borecki IB, Kabagambe EK, Ordovás JM, Absher DM, Arnett DK. The effects of omega-3 polyunsaturated fatty acids and genetic variants on methylation levels of the interleukin-6 gene promoter. Mol Nutr Food Res 2016; 60:410-9. [PMID: 26518637 PMCID: PMC4844557 DOI: 10.1002/mnfr.201500436] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 09/11/2015] [Accepted: 10/21/2015] [Indexed: 01/04/2023]
Abstract
SCOPE Omega-3 PUFAs (n-3 PUFAs) reduce IL-6 gene expression, but their effects on transcription regulatory mechanisms are unknown. We aimed to conduct an integrated analysis with both population and in vitro studies to systematically explore the relationships among n-3 PUFA, DNA methylation, single nucleotide polymorphisms (SNPs), gene expression, and protein concentration of IL6. METHODS AND RESULTS Using data in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) study and the Encyclopedia of DNA Elements (ENCODE) consortium, we found that higher methylation of IL6 promoter cg01770232 was associated with higher IL-6 plasma concentration (p = 0.03) and greater IL6 gene expression (p = 0.0005). Higher circulating total n-3 PUFA was associated with lower cg01770232 methylation (p = 0.007) and lower IL-6 concentration (p = 0.02). Moreover, an allele of IL6 rs2961298 was associated with higher cg01770232 methylation (p = 2.55 × 10(-7) ). The association between n-3 PUFA and cg01770232 methylation was dependent on rs2961298 genotype (p = 0.02), but higher total n-3 PUFA was associated with lower cg01770232 methylation in the heterozygotes (p = 0.04) not in the homozygotes. CONCLUSION Higher n-3 PUFA is associated with lower methylation at IL6 promoter, which may be modified by IL6 SNPs.
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Affiliation(s)
- Yiyi Ma
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Biomedical Genetics, Department of Medicine, Boston University, Boston, MA, USA
| | - Caren E. Smith
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Chao-Qiang Lai
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Laurence D. Parnell
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Yu-Chi Lee
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Lucia D. Pham
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Steven A. Claas
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Ingrid B. Borecki
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | | | - José M. Ordovás
- Jean Mayer US Department of Agriculture Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA
- Department of Epidemiology, Centro Nacional Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Instituto Madrileño de Estudios Avanzados en Alimentacion (IMDEA-FOOD), Madrid, Spain
| | - Devin M. Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL, USA
| | - Donna K. Arnett
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
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Das M, Sha J, Hidalgo B, Aslibekyan S, Do AN, Zhi D, Sun D, Zhang T, Li S, Chen W, Srinivasan SR, Tiwari HK, Absher D, Ordovas JM, Berenson GS, Arnett DK, Irvin MR. Association of DNA Methylation at CPT1A Locus with Metabolic Syndrome in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN) Study. PLoS One 2016; 11:e0145789. [PMID: 26808626 PMCID: PMC4726462 DOI: 10.1371/journal.pone.0145789] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2015] [Accepted: 12/08/2015] [Indexed: 12/22/2022] Open
Abstract
In this study, we conducted an epigenome-wide association study of metabolic syndrome (MetS) among 846 participants of European descent in the Genetics of Lipid Lowering Drugs and Diet Network (GOLDN). DNA was isolated from CD4+ T cells and methylation at ~470,000 cytosine-phosphate-guanine dinucleotide (CpG) pairs was assayed using the Illumina Infinium HumanMethylation450 BeadChip. We modeled the percentage methylation at individual CpGs as a function of MetS using linear mixed models. A Bonferroni-corrected P-value of 1.1 x 10−7 was considered significant. Methylation at two CpG sites in CPT1A on chromosome 11 was significantly associated with MetS (P for cg00574958 = 2.6x10-14 and P for cg17058475 = 1.2x10-9). Significant associations were replicated in both European and African ancestry participants of the Bogalusa Heart Study. Our findings suggest that methylation in CPT1A is a promising epigenetic marker for MetS risk which could become useful as a treatment target in the future.
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Affiliation(s)
- Mithun Das
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Jin Sha
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Bertha Hidalgo
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Stella Aslibekyan
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Anh N. Do
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Degui Zhi
- Department of Biostatistics, Section on Statistical Genetics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Tao Zhang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Shengxu Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Wei Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Sathanur R. Srinivasan
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Hemant K. Tiwari
- Department of Biostatistics, Section on Statistical Genetics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
| | - Devin Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, United States of America
| | - Jose M. Ordovas
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, United States of America
- IMDEA Food, Madrid, Spain
| | - Gerald S. Berenson
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States of America
| | - Donna K. Arnett
- Dean’s Office, College of Public Health, University of Kentucky, Lexington, KY, United States of America
| | - Marguerite R. Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, United States of America
- * E-mail:
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50
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Mamtani M, Kulkarni H, Dyer TD, Göring HHH, Neary JL, Cole SA, Kent JW, Kumar S, Glahn DC, Mahaney MC, Comuzzie AG, Almasy L, Curran JE, Duggirala R, Blangero J, Carless MA. Genome- and epigenome-wide association study of hypertriglyceridemic waist in Mexican American families. Clin Epigenetics 2016; 8:6. [PMID: 26798409 PMCID: PMC4721061 DOI: 10.1186/s13148-016-0173-x] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2015] [Accepted: 01/13/2016] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND There is growing interest in the hypertriglyceridemic waist (HTGW) phenotype, defined as high waist circumference (≥95 cm in males and ≥80 cm in females) combined with high serum triglyceride concentration (≥2.0 mmol/L in males and ≥1.5 mmol/L in females) as a marker of type 2 diabetes (T2D) and cardiovascular disease. However, the prevalence of this phenotype in high-risk populations, its association with T2D, and the genetic or epigenetic influences on HTGW are not well explored. Using data from large, extended families of Mexican Americans (a high-risk minority population in the USA) we aimed to: (1) estimate the prevalence of this phenotype, (2) test its association with T2D and related traits, and (3) dissect out the genetic and epigenetic associations with this phenotype using genome-wide and epigenome-wide studies, respectively. RESULTS Data for this study was from 850 Mexican American participants (representing 39 families) recruited under the ongoing San Antonio Family Heart Study, 26 % of these individuals had HTGW. This phenotype was significantly heritable (h (2) r = 0.52, p = 1.1 × 10(-5)) and independently associated with T2D as well as fasting glucose levels and insulin resistance. We conducted genome-wide association analyses using 759,809 single nucleotide polymorphisms (SNPs) and epigenome-wide association analyses using 457,331 CpG sites. There was no evidence of any SNP associated with HTGW at the genome-wide level but two CpG sites (cg00574958 and cg17058475) in CPT1A and one CpG site (cg06500161) in ABCG1 were significantly associated with HTGW and remained significant after adjusting for the closely related components of metabolic syndrome. CPT1A holds a cardinal position in the metabolism of long-chain fatty acids while ABCG1 plays a role in triglyceride metabolism. CONCLUSIONS Our results reemphasize the value of HTGW as a marker of T2D. This phenotype shows association with DNA methylation within CPT1A and ABCG1, genes involved in fatty acid and triglyceride metabolism. Our results underscore the importance of epigenetics in a clinically informative phenotype.
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Affiliation(s)
- Manju Mamtani
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Hemant Kulkarni
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Thomas D Dyer
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Harald H H Göring
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Jennifer L Neary
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Shelley A Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Jack W Kent
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Satish Kumar
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - David C Glahn
- Department of Psychiatry, Yale University, New Haven, CT USA ; Olin Neuropsychiatry Research Center, Institute of Living, Hartford Hospital, Hartford, CT USA
| | - Michael C Mahaney
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Anthony G Comuzzie
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
| | - Laura Almasy
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX 78520 USA
| | - Melanie A Carless
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, TX USA
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