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Liang X, Aouizerat BE, So‐Armah K, Cohen MH, Marconi VC, Xu K, Justice AC. DNA methylation-based telomere length is associated with HIV infection, physical frailty, cancer, and all-cause mortality. Aging Cell 2024; 23:e14174. [PMID: 38629454 PMCID: PMC11258465 DOI: 10.1111/acel.14174] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 03/28/2024] [Accepted: 04/02/2024] [Indexed: 07/21/2024] Open
Abstract
Telomere length (TL) is an important indicator of cellular aging. Shorter TL is associated with several age-related diseases including coronary heart disease, heart failure, diabetes, osteoporosis, and cancer. Recently, a DNA methylation-based TL (DNAmTL) estimator has been developed as an alternative method for directly measuring TL. In this study, we examined the association of DNAmTL with cancer prevalence and mortality risk among people with and without HIV in the Veterans Aging Cohort Study Biomarker Cohort (VACS, N = 1917) and Women's Interagency HIV Study Cohort (WIHS, N = 481). We profiled DNAm in whole blood (VACS) or in peripheral blood mononuclear cells (WIHS) using an array-based method. Cancer prevalence was estimated from electronic medical records and cancer registry data. The VACS Index was used as a measure of physiologic frailty. Models were adjusted for self-reported race and ethnicity, batch, smoking status, alcohol consumption, and five cell types (CD4, CD8, NK, B cell, and monocyte). We found that people with HIV had shorter average DNAmTL than those without HIV infection [beta = -0.25, 95% confidence interval (-0.32, -0.18), p = 1.48E-12]. Greater value of VACS Index [beta = -0.002 (-0.003, -0.001), p = 2.82E-05] and higher cancer prevalence [beta = -0.07 (-0.10, -0.03), p = 1.37E-04 without adjusting age] were associated with shortened DNAmTL. In addition, one kilobase decrease in DNAmTL was associated with a 40% increase in mortality risk [hazard ratio: 0.60 (0.44, 0.82), p = 1.42E-03]. In summary, HIV infection, physiologic frailty, and cancer are associated with shortening DNAmTL, contributing to an increased risk of all-cause mortality.
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Affiliation(s)
- Xiaoyu Liang
- Department of Epidemiology and BiostatisticsMichigan State UniversityEast LansingMichiganUSA
| | - Bradley E. Aouizerat
- Translational Research Center, College of DentistryNew York UniversityNew YorkNew YorkUSA
- Department of Oral and Maxillofacial Surgery, College of DentistryNew York UniversityNew YorkNew YorkUSA
| | - Kaku So‐Armah
- Boston University School of MedicineBostonMassachusettsUSA
| | - Mardge H. Cohen
- Department of MedicineStroger Hospital of Cook CountyChicagoIllinoisUSA
| | - Vincent C. Marconi
- Emory University School of Medicine and Rollins School of Public HealthThe Atlanta Veterans Affairs Medical CenterAtlantaGeorgiaUSA
| | - Ke Xu
- Department of PsychiatryYale School of MedicineNew HavenConnecticutUSA
- VA Connecticut Healthcare SystemWest HavenConnecticutUSA
| | - Amy C. Justice
- VA Connecticut Healthcare SystemWest HavenConnecticutUSA
- Department of Internal MedicineYale School of MedicineNew HavenConnecticutUSA
- Yale School of Public HealthNew HavenConnecticutUSA
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Harvanek ZM, Kudinova AY, Wong SA, Xu K, Brick L, Daniels TE, Marsit C, Burt A, Sinha R, Tyrka AR. Childhood adversity, accelerated GrimAge, and associated health consequences. J Behav Med 2024:10.1007/s10865-024-00496-0. [PMID: 38762606 DOI: 10.1007/s10865-024-00496-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 05/01/2024] [Indexed: 05/20/2024]
Abstract
Childhood adversity is linked to psychological, behavioral, and physical health problems, including obesity and cardiometabolic disease. Epigenetic alterations are one pathway through which the effects of early life stress and adversity might persist into adulthood. Epigenetic mechanisms have also been proposed to explain why cardiometabolic health can vary greatly between individuals with similar Body Mass Index (BMIs). We evaluated two independent cross-sectional cohorts of adults without known medical illness, one of which explicitly recruited individuals with early life stress (ELS) and control participants (n = 195), and the other a general community sample (n = 477). In these cohorts, we examine associations between childhood adversity, epigenetic aging, and metabolic health. Childhood adversity was associated with increased GrimAge Acceleration (GAA) in both cohorts, both utilizing a dichotomous yes/no classification (both p < 0.01) as well as a continuous measure using the Childhood Trauma Questionnaire (CTQ) (both p < 0.05). Further investigation demonstrated that CTQ subscales for physical and sexual abuse (both p < 0.05) were associated with increased GAA in both cohorts, whereas physical and emotional neglect were not. In both cohorts, higher CTQ was also associated with higher BMI and increased insulin resistance (both p < 0.05). Finally, we demonstrate a moderating effect of BMI on the relationship between GAA and insulin resistance where GAA correlated with insulin resistance specifically at higher BMIs. These results, which were largely replicated between two independent cohorts, suggest that interactions between epigenetics, obesity, and metabolic health may be important mechanisms through which childhood adversity contributes to long-term physical and metabolic health effects.
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Affiliation(s)
- Zachary M Harvanek
- Department of Psychiatry, Yale University, New Haven, CT, USA.
- Yale Stress Center, Yale University, New Haven, CT, USA.
| | - Anastacia Y Kudinova
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
| | - Samantha A Wong
- New York University Grossman School of Medicine, New York, USA
| | - Ke Xu
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT, USA
| | - Leslie Brick
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
| | - Teresa E Daniels
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Bradley Hospital, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
| | - Carmen Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Amber Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
- Department of Neuroscience, Yale University, New Haven, CT, USA
- Child Study Center, Yale University, New Haven, CT, USA
| | - Audrey R Tyrka
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Initiative for Stress, Trauma, and Resilience, Alpert Medical School of Brown University, Providence, RI, USA
- Laboratory for Clinical and Translational Neuroscience, Butler Hospital, Providence, RI, USA
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Domínguez-Barragán J, Fernández-Sanlés A, Hernáez Á, Llauradó-Pont J, Marrugat J, Robinson O, Tzoulaki I, Elosua R, Lassale C. Blood DNA methylation signature of diet quality and association with cardiometabolic traits. Eur J Prev Cardiol 2024; 31:191-202. [PMID: 37793095 PMCID: PMC10809172 DOI: 10.1093/eurjpc/zwad317] [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: 05/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/06/2023]
Abstract
AIMS Diet quality might influence cardiometabolic health through epigenetic changes, but this has been little investigated in adults. Our aims were to identify cytosine-phosphate-guanine (CpG) dinucleotides associated with diet quality by conducting an epigenome-wide association study (EWAS) based on blood DNA methylation (DNAm) and to assess how diet-related CpGs associate with inherited susceptibility to cardiometabolic traits: body mass index (BMI), systolic blood pressure (SBP), triglycerides, type 2 diabetes (T2D), and coronary heart disease (CHD). METHODS AND RESULTS Meta-EWAS including 5274 participants in four cohorts from Spain, the USA, and the UK. We derived three dietary scores (exposures) to measure adherence to a Mediterranean diet, to a healthy plant-based diet, and to the Dietary Approaches to Stop Hypertension. Blood DNAm (outcome) was assessed with the Infinium arrays Human Methylation 450K BeadChip and MethylationEPIC BeadChip. For each diet score, we performed linear EWAS adjusted for age, sex, blood cells, smoking and technical variables, and BMI in a second set of models. We also conducted Mendelian randomization analyses to assess the potential causal relationship between diet-related CpGs and cardiometabolic traits. We found 18 differentially methylated CpGs associated with dietary scores (P < 1.08 × 10-7; Bonferroni correction), of which 12 were previously associated with cardiometabolic traits. Enrichment analysis revealed overrepresentation of diet-associated genes in pathways involved in inflammation and cardiovascular disease. Mendelian randomization analyses suggested that genetically determined methylation levels corresponding to lower diet quality at cg02079413 (SNORA54), cg02107842 (MAST4), and cg23761815 (SLC29A3) were causally associated with higher BMI and at cg05399785 (WDR8) with greater SBP, and methylation levels associated with higher diet quality at cg00711496 (PRMT1) with lower BMI, T2D risk, and CHD risk and at cg0557921 (AHRR) with lower CHD risk. CONCLUSION Diet quality in adults was related to differential methylation in blood at 18 CpGs, some of which related to cardiometabolic health.
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Affiliation(s)
- Jorge Domínguez-Barragán
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
| | - Alba Fernández-Sanlés
- MRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK
| | - Álvaro Hernáez
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo 0463, Norway
- Blanquerna School of Health Sciences, Universitat Ramon Llull, 08025 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
| | - Joana Llauradó-Pont
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
| | - Jaume Marrugat
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Oliver Robinson
- μedical Research Council Centre for Environment and Health, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Ioanna Tzoulaki
- Centre for Systems Biology, Biomedical Research Foundation of the Academy of Athens, 115 27 Athens, Greece
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK
| | - Roberto Elosua
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Cardiovascular Diseases (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
- Faculty of Medicine, University of Vic—Central University of Catalunya, Ctra. de Roda, 70, 08500 Vic, Spain
| | - Camille Lassale
- Hospital del Mar Research Institute (IMIM), Programme of Epidemiology and Public Health, Dr Aiguader, 88, 08003 Barcelona, Spain
- Consortium for Biomedical Research—Pathophysiology of Obesity and Nutrition (CIBEROBN), Instituto de Salud Carlos III, Monforte de Lemos 3-5, 08029 Madrid, Spain
- Barcelona Institute of Global Health (ISGlobal), Dr Aiguader 88, 08003, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Dr Aiguader 88, 08003, Barcelona, Spain
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Reynolds LM, Houston DK, Skiba MB, Whitsel EA, Stewart JD, Li Y, Zannas AS, Assimes TL, Horvath S, Bhatti P, Baccarelli AA, Tooze JA, Vitolins MZ. Diet Quality and Epigenetic Aging in the Women's Health Initiative. J Acad Nutr Diet 2024:S2212-2672(24)00002-9. [PMID: 38215906 PMCID: PMC11236955 DOI: 10.1016/j.jand.2024.01.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 12/05/2023] [Accepted: 01/08/2024] [Indexed: 01/14/2024]
Abstract
BACKGROUND Higher diet quality scores are associated with a lower risk for many chronic diseases and all-cause mortality; however, it is unclear if diet quality is associated with aging biology. OBJECTIVE This study aimed to examine the association between diet quality and a measure of biological aging known as epigenetic aging. DESIGN A cross-sectional data analysis was used to examine the association between three diet quality scores based on self-reported food frequency questionnaire data and five measures of epigenetic aging based on DNA methylation (DNAm) data from peripheral blood. PARTICIPANTS/SETTING This study included 4,500 postmenopausal women recruited from multiple sites across the United States (1993-98), aged 50 to 79 years, with food frequency questionnaire and DNAm data available from the Women's Health Initiative baseline visit. MAIN OUTCOME MEASURES Five established epigenetic aging measures were generated from HumanMethylation450 Beadchip DNAm data, including AgeAccelHannum, AgeAccelHorvath, AgeAccelPheno, AgeAccelGrim, and DunedinPACE. STATISTICAL ANALYSES PERFORMED Linear mixed models were used to test for associations between three diet quality scores (Healthy Eating Index, Dietary Approaches to Stop Hypertension, and alternate Mediterranean diet scores) and epigenetic aging measures, adjusted for age, race and ethnicity, education, tobacco smoking, physical activity, Women's Health Initiative substudy from which DNAm data were obtained, and DNAm-based estimates of leukocyte proportions. RESULTS Healthy Eating Index, Dietary Approaches to Stop Hypertension, and alternate Mediterranean diet scores were all inversely associated with AgeAccelPheno, AgeAccelGrim, and DunedinPACE (P < 0.05), with the largest effects with DunedinPACE. A one standard deviation increment in diet quality scores was associated with a decrement (β ± SE) in DunedinPACE z score of -0.097 ± 0.014 (P = 9.70 x 10-13) for Healthy Eating Index, -0.107 ± 0.014 (P = 1.53 x 10-14) for Dietary Approaches to Stop Hypertension, and -0.068 ± 0.013 (P = 2.31 x 10-07) for the alternate Mediterranean diet. CONCLUSIONS In postmenopausal women, diet quality scores were inversely associated with DNAm-based measures of biological aging, particularly DunedinPACE.
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Affiliation(s)
- Lindsay M Reynolds
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina.
| | - Denise K Houston
- Department of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Meghan B Skiba
- Division of Biobehavioral Health Science, University of Arizona Cancer Center, University of Arizona, Tucson, Arizona
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, North Carolina
| | - Yun Li
- Department of Genetics, School of Medicine, University of North Carolina, Chapel Hill, North Carolina; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina
| | - Anthony S Zannas
- Department of Psychiatry, University of North Carolina, Chapel Hill, North Carolina
| | - Themistocles L Assimes
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Palo Alto, California
| | - Steve Horvath
- Department of Human Genetics, University of California Los Angeles, Los Angeles, California; Altos Labs, San Diego, California
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer Research Institute, Vancouver, British Columbia, Canada; School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Janet A Tooze
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
| | - Mara Z Vitolins
- Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, North Carolina
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5
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Liang X, Justice AC, Marconi VC, Aouizerat BE, Xu K. Co-occurrence of injection drug use and hepatitis C increases epigenetic age acceleration that contributes to all-cause mortality among people living with HIV. Epigenetics 2023; 18:2212235. [PMID: 37191953 PMCID: PMC10190198 DOI: 10.1080/15592294.2023.2212235] [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: 11/17/2022] [Accepted: 04/19/2023] [Indexed: 05/17/2023] Open
Abstract
Co-occurrence of injection drug use (IDU) and hepatitis C virus infection (HCV) is common in people living with HIV (PLWH) and leads to significantly increased mortality. Epigenetic clocks derived from DNA methylation (DNAm) are associated with disease progression and all-cause mortality. In this study, we hypothesized that epigenetic age mediates the relationships between the co-occurrence of IDU and HCV with mortality risk among PLWH. We tested this hypothesis in the Veterans Aging Cohort Study (n = 927) by using four established epigenetic clocks of DNAm age (i.e., Horvath, Hannum, Pheno, Grim). Compared to individuals without IDU and HCV (IDU-HCV-), participants with IDU and HCV (IDU+HCV+) showed a 2.23-fold greater risk of mortality estimated using a Cox proportional hazards model (hazard ratio: 2.23; 95% confidence interval: 1.62-3.09; p = 1.09E-06). IDU+HCV+ was associated with a significantly increased epigenetic age acceleration (EAA) measured by 3 out of 4 epigenetic clocks, adjusting for demographic and clinical variables (Hannum: p = 8.90E-04, Pheno: p = 2.34E-03, Grim: p = 3.33E-11). Furthermore, we found that epigenetic age partially mediated the relationship between IDU+HCV+ and all-cause mortality, up to a 13.67% mediation proportion. Our results suggest that comorbid IDU with HCV increases EAA in PLWH that partially mediates the increased mortality risk.
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Affiliation(s)
- Xiaoyu Liang
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, USA
| | - Amy C. Justice
- VA Connecticut Healthcare System, West Haven, CT, USA
- New Haven Veterans Affairs Connecticut Healthcare System, Yale University School of Medicine, New Haven, CT, USA
| | - Vincent C. Marconi
- Emory University School of Medicine and Rollins School of Public Health; the Atlanta Veterans Affairs Medical Center, Atlanta, Georgia
| | - Bradley E. Aouizerat
- Bluestone Center for Clinical Research, College of Dentistry, New York University, New York, NY, USA
- Department of Oral and Maxillofacial Surgery, College of Dentistry, New York University, New York, NY, USA
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- VA Connecticut Healthcare System, West Haven, CT, USA
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6
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Hatton AA, Hillary RF, Bernabeu E, McCartney DL, Marioni RE, McRae AF. Blood-based genome-wide DNA methylation correlations across body-fat- and adiposity-related biochemical traits. Am J Hum Genet 2023; 110:1564-1573. [PMID: 37652023 PMCID: PMC10502853 DOI: 10.1016/j.ajhg.2023.08.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/04/2023] [Accepted: 08/03/2023] [Indexed: 09/02/2023] Open
Abstract
The recent increase in obesity levels across many countries is likely to be driven by nongenetic factors. The epigenetic modification DNA methylation (DNAm) may help to explore this, as it is sensitive to both genetic and environmental exposures. While the relationship between DNAm and body-fat traits has been extensively studied, there is limited literature on the shared associations of DNAm variation across such traits. Akin to genetic correlation estimates, here, we introduce an approach to evaluate the similarities in DNAm associations between traits: DNAm correlations. As DNAm can be both a cause and consequence of complex traits, DNAm correlations have the potential to provide insights into trait relationships above that currently obtained from genetic and phenotypic correlations. Utilizing 7,519 unrelated individuals from Generation Scotland with DNAm from the EPIC array, we calculated DNAm correlations between body-fat- and adiposity-related traits by using the bivariate OREML framework in the OSCA software. For each trait, we also estimated the shared contribution of DNAm between sexes. We identified strong, positive DNAm correlations between each of the body-fat traits (BMI, body-fat percentage, and waist-to-hip ratio, ranging from 0.96 to 1.00), finding larger associations than those identified by genetic and phenotypic correlations. We identified a significant deviation from 1 in the DNAm correlations for BMI between males and females, with sex-specific DNAm changes associated with BMI identified at eight DNAm probes. Employing genome-wide DNAm correlations to evaluate the similarities in the associations of DNAm with complex traits has provided insight into obesity-related traits beyond that provided by genetic correlations.
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Affiliation(s)
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Elena Bernabeu
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Allan F McRae
- Institute for Molecular Bioscience, Brisbane, Australia.
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7
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Holloway TD, Harvanek ZM, Xu K, Gordon DM, Sinha R. Greater stress and trauma mediate race-related differences in epigenetic age between Black and White young adults in a community sample. Neurobiol Stress 2023; 26:100557. [PMID: 37501940 PMCID: PMC10369475 DOI: 10.1016/j.ynstr.2023.100557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Revised: 06/29/2023] [Accepted: 07/14/2023] [Indexed: 07/29/2023] Open
Abstract
Black Americans suffer lower life expectancy and show signs of accelerated aging compared to other Americans. While previous studies observe these differences in children and populations with chronic illness, whether these pathologic processes exist or how these pathologic processes progress has yet to be explored prior to the onset of significant chronic illness, within a young adult population. Therefore, we investigated race-related differences in epigenetic age in a cross-sectional sample of young putatively healthy adults and assessed whether lifetime stress and/or trauma mediate those differences. Biological and psychological data were collected from self-reported healthy adult volunteers within the local New Haven area (399 volunteers, 19.8% Black, mean age: 29.28). Stress and trauma data was collected using the Cumulative Adversity Inventory (CAI) interview, which assessed specific types of stressors, including major life events, traumatic events, work, financial, relationship and chronic stressors cumulatively over time. GrimAge Acceleration (GAA), determined from whole blood collected from participants, measured epigenetic age. In order to understand the impact of stress and trauma on GAA, exploratory mediation analyses were then used. We found cumulative stressors across all types of events (mean difference of 6.9 p = 2.14e-4) and GAA (β = 2.29 years [1.57-3.01, p = 9.70e-10] for race, partial η2 = 0.091, model adjusted R2 = 0.242) were significantly greater in Black compared to White participants. Critically, CAI total score (proportion mediated: 0.185 [0.073-0.34, p = 6e-4]) significantly mediated the relationship between race and GAA. Further analysis attributed this difference to more traumatic events, particularly assaultive traumas and death of loved ones. Our results suggest that, prior to development of significant chronic disease, Black individuals have increased epigenetic age compared to White participants and that increased cumulative stress and traumatic events may contribute significantly to this epigenetic aging difference.
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Affiliation(s)
| | - Zachary M. Harvanek
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
| | - Ke Xu
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT, USA
| | | | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA
- Yale Stress Center, Yale University, New Haven, CT, USA
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8
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Issarapu P, Arumalla M, Elliott HR, Nongmaithem SS, Sankareswaran A, Betts M, Sajjadi S, Kessler NJ, Bayyana S, Mansuri SR, Derakhshan M, Krishnaveni GV, Shrestha S, Kumaran K, Di Gravio C, Sahariah SA, Sanderson E, Relton CL, Ward KA, Moore SE, Prentice AM, Lillycrop KA, Fall CHD, Silver MJ, Chandak GR. DNA methylation at the suppressor of cytokine signaling 3 (SOCS3) gene influences height in childhood. Nat Commun 2023; 14:5200. [PMID: 37626025 PMCID: PMC10457295 DOI: 10.1038/s41467-023-40607-0] [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: 01/14/2023] [Accepted: 08/01/2023] [Indexed: 08/27/2023] Open
Abstract
Human height is strongly influenced by genetics but the contribution of modifiable epigenetic factors is under-explored, particularly in low and middle-income countries (LMIC). We investigate links between blood DNA methylation and child height in four LMIC cohorts (n = 1927) and identify a robust association at three CpGs in the suppressor of cytokine signaling 3 (SOCS3) gene which replicates in a high-income country cohort (n = 879). SOCS3 methylation (SOCS3m)-height associations are independent of genetic effects. Mendelian randomization analysis confirms a causal effect of SOCS3m on height. In longitudinal analysis, SOCS3m explains a maximum 9.5% of height variance in mid-childhood while the variance explained by height polygenic risk score increases from birth to 21 years. Children's SOCS3m is associated with prenatal maternal folate and socio-economic status. In-vitro characterization confirms a regulatory effect of SOCS3m on gene expression. Our findings suggest epigenetic modifications may play an important role in driving child height in LMIC.
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Affiliation(s)
- Prachand Issarapu
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Manisha Arumalla
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Suraj S Nongmaithem
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Alagu Sankareswaran
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Modupeh Betts
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Sara Sajjadi
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Noah J Kessler
- Department of Genetics, University of Cambridge, Cambridge, UK
| | - Swati Bayyana
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Sohail R Mansuri
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India
| | - Maria Derakhshan
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - G V Krishnaveni
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, Karnataka, India
| | - Smeeta Shrestha
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India
| | - Kalyanaraman Kumaran
- Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, Karnataka, India
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Chiara Di Gravio
- Department of Biostatistics, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | - Eleanor Sanderson
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Kate A Ward
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Sophie E Moore
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
- Department of Women & Children's Health, King's College London, London, UK
| | - Andrew M Prentice
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK
| | - Karen A Lillycrop
- School of Medicine, University of Southampton, Southampton, UK
- Biological Sciences, University of Southampton, Southampton, UK
| | - Caroline H D Fall
- MRC Lifecourse Epidemiology Centre, University of Southampton, Southampton, UK
| | - Matt J Silver
- MRC Unit The Gambia at The London School of Hygiene and Tropical Medicine (LSHTM), London, UK.
| | - Giriraj R Chandak
- Genomic Research on Complex Diseases (GRC-Group), CSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana, India.
- Academy of Scientific and Innovative Research, AcSIR, Ghaziabad, India.
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9
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Kappes C, Stein R, Körner A, Merkenschlager A, Kiess W. Stress, Stress Reduction and Obesity in Childhood and Adolescence. Horm Res Paediatr 2023; 96:88-96. [PMID: 34469895 DOI: 10.1159/000519284] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 08/11/2021] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Obesity in childhood and adolescence remains a great global health challenge. Stress exposure during childhood and adolescence is associated with a higher risk for obesity, yet the linkage between stress and obesity is multidimensional, and its biological and behavioral mechanisms are still not fully understood. SUMMARY In this literature review, we identified different types of stress exposure in children and adolescents, including first studied effects of the COVID-19 pandemic as a prolonged stress exposure and their association with obesity risk. We investigated studies on the connection of altered stress biology and behavioral pathways as well as intervention programs on stress reduction in children and adolescents with obesity. KEY MESSAGES There is evidence that stress exposure in childhood and adolescence promotes biological and behavioral alterations that contribute to the multifactorial pathogenesis of obesity. COVID-19 related-stress presents the most current example of a negative influence on weight development in children and adolescents. However, longitudinal studies on the linkage between environmental, behavioral, and biological factors across development are few, and results are partly equivocal. Intervention programs to reduce stress in children through mindfulness might be a promising adjunctive tool in the prevention and treatment of childhood and adolescent obesity that could further offer proof of concept of theoretically elaborated cause-and-effect relationships.
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Affiliation(s)
- Claudia Kappes
- University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Robert Stein
- University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig, Germany.,Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Zentrum München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
| | - Antje Körner
- University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Andreas Merkenschlager
- University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig, Germany
| | - Wieland Kiess
- University Hospital for Children and Adolescents, Medical Faculty, University of Leipzig, Leipzig, Germany
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10
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Abstract
Nowadays, obesity is one of the largest public health problems worldwide. In the last few decades, there has been a marked increase in the obesity epidemic and its related comorbidities. Worldwide, more than 2.2 billion people (33%) are affected by overweight or obesity (712 million, 10%) and its associated metabolic complications. Although a high heritability of obesity has been estimated, the genetic variants conducted from genetic association studies only partially explain the variation of body mass index. This has led to a growing interest in understanding the potential role of epigenetics as a key regulator of gene-environment interactions on the development of obesity and its associated complications. Rapid advances in epigenetic research methods and reduced costs of epigenome-wide association studies have led to a great expansion of population-based studies. The field of epigenetics and metabolic diseases such as obesity has advanced rapidly in a short period of time. The main epigenetic mechanisms include DNA methylation, histone modifications, microRNA (miRNA)-mediated regulation and so on. DNA methylation is the most investigated epigenetic mechanism. Preliminary evidence from animal and human studies supports the effect of epigenetics on obesity. Studies of epigenome-wide association studies and genome-wide histone modifications from different biological specimens such as blood samples (newborn, children, adolescent, youth, woman, man, twin, race, and meta-analysis), adipose tissues, skeletal muscle cells, placenta, and saliva have reported the differential expression status of multiple genes before and after obesity interventions and have identified multiple candidate genes and biological markers. These findings may improve the understanding of the complex etiology of obesity and its related comorbidities, and help to predict an individual's risk of obesity at a young age and open possibilities for introducing targeted prevention and treatment strategies.
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Affiliation(s)
- Feng-Yao Wu
- Department of Comprehensive Internal Medicine, Affiliated Infectious Disease Hospital of Nanning (The Fourth People’s Hospital of Nanning), Guangxi Medical University, No. 1 Erli, Changgang Road, Nanning, 530023 Guangxi People’s Republic of China
| | - Rui-Xing Yin
- Department of Comprehensive Internal Medicine, Affiliated Infectious Disease Hospital of Nanning (The Fourth People’s Hospital of Nanning), Guangxi Medical University, No. 1 Erli, Changgang Road, Nanning, 530023 Guangxi People’s Republic of China
- Department of Cardiology, Institute of Cardiovascular Diseases, The First Affiliated Hospital, Guangxi Medical University, 6 Shuangyong Road, Nanning, 530021 Guangxi People’s Republic of China
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11
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Titanji BK, Lee M, Wang Z, Chen J, Hui Q, Lo Re III V, So-Armah K, Justice AC, Xu K, Freiberg M, Gwinn M, Marconi VC, Sun YV. Epigenome-wide association study of biomarkers of liver function identifies albumin-associated DNA methylation sites among male veterans with HIV. Front Genet 2022; 13:1020871. [PMID: 36303554 PMCID: PMC9592923 DOI: 10.3389/fgene.2022.1020871] [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: 08/16/2022] [Accepted: 09/22/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Liver disease (LD) is an important cause of morbidity and mortality for people with HIV (PWH). The molecular factors linked with LD in PWH are varied and incompletely characterized. We performed an epigenome-wide association study (EWAS) to identify associations between DNA methylation (DNAm) and biomarkers of liver function-aspartate transaminase, alanine transaminase, albumin, total bilirubin, platelet count, FIB-4 score, and APRI score-in male United States veterans with HIV. Methods: Blood samples and clinical data were obtained from 960 HIV-infected male PWH from the Veterans Aging Cohort Study. DNAm was assessed using the Illumina 450K or the EPIC 850K array in two mutually exclusive subsets. We performed a meta-analysis for each DNAm site measured by either platform. We also examined the associations between four measures of DNAm age acceleration (AA) and liver biomarkers. Results: Nine DNAm sites were positively associated with serum albumin in the meta-analysis of the EPIC and 450K EWAS after correcting for multiple testing. Four DNAm sites (cg16936953, cg18942579, cg01409343, and cg12054453), annotated within the TMEM49 and four of the remaining five sites (cg18181703, cg03546163, cg20995564, and cg23966214) annotated to SOCS3, FKBP5, ZEB2, and SAMD14 genes, respectively. The DNAm site, cg12992827, was not annotated to any known coding sequence. No significant associations were detected for the other six liver biomarkers. Higher PhenoAA was significantly associated with lower level of serum albumin (β = -0.007, p-value = 8.6 × 10-4, CI: -0.011116, -0.002884). Conclusion: We identified epigenetic associations of both individual DNAm sites and DNAm AA with liver function through serum albumin in men with HIV. Further replication analyses in independent cohorts are warranted to confirm the epigenetic mechanisms underlying liver function and LD in PWH.
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Affiliation(s)
- Boghuma K. Titanji
- Division of Infectious Disease, Emory School of Medicine, Atlanta, GA, United States
| | - Mitch Lee
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Zeyuan Wang
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Junyu Chen
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Qin Hui
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Vincent Lo Re III
- Division of Infectious Diseases Department of Medicine and Center for Clinical Epidemiology and Biostatistics Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, United States
| | - Kaku So-Armah
- Boston University Medical School, Boston, MA, United States
| | - Amy C. Justice
- Connecticut Veteran Health System, West Haven, CT, United States,Yale University School of Medicine, New Haven, CT, United States
| | - Ke Xu
- Connecticut Veteran Health System, West Haven, CT, United States,Yale University School of Medicine, New Haven, CT, United States
| | - Matthew Freiberg
- Cardiovascular Medicine Division and Tennessee Valley Healthcare System, Vanderbilt University Medical Center, Nashville, TN, United States
| | - Marta Gwinn
- Centers for Disease Control and Prevention, Atlanta, GA, United States
| | - Vincent C. Marconi
- Division of Infectious Disease, Emory School of Medicine, Atlanta, GA, United States,Atlanta Veterans Affairs Health Care System, Decatur, GA, United States,Hubert Department of Global Health, Rollins School of Public Health, Atlanta, GA, United States,Emory Vaccine Center, Yerkes National Primate Research Center, Emory University, Atlanta, GA, United States
| | - Yan V. Sun
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, United States,Atlanta Veterans Affairs Health Care System, Decatur, GA, United States,*Correspondence: Yan V. Sun,
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12
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Li Y, Liu X, Tu R, Hou J, Zhuang G. Mendelian Randomization Analysis of the Association of SOCS3 Methylation with Abdominal Obesity. Nutrients 2022; 14:nu14183824. [PMID: 36145200 PMCID: PMC9503364 DOI: 10.3390/nu14183824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 09/06/2022] [Accepted: 09/13/2022] [Indexed: 11/16/2022] Open
Abstract
This study was conducted to evaluate the potential causality association of SOCS3 methylation with abdominal obesity using Mendelian randomization. A case-control study, including 1064 participants, was carried out on Chinese subjects aged 18 to 79. MethylTargetTM was used to detect the methylation level for each CpG site of SOCS3, and SNPscan® was applied to measure the single-nucleotide polymorphism (SNP) genotyping. The logistic regression was used to assess the relationship of SOCS3 methylation level and SNP genotyping with abdominal obesity. Three types of Mendelian randomization methods were implemented to examine the potential causality between SOCS3 methylation and obesity based on the SNP of SOCS3 as instrumental variables. SOCS3 methylation levels were inversely associated with abdominal obesity in five CpG sites (effect estimates ranged from 0.786 (Chr17:76356054) to 0.851 (Chr17:76356084)), and demonstrated positively association in 18 CpG sites (effect estimates ranged from 1.243 (Chr17:76354990) to 1.325 (Chr17:76355061)). The causal relationship between SOCS3 methylation and abdominal obesity was found using the maximum-likelihood method and Mendelian randomization method of penalized inverse variance weighted (MR-IVW), and the β values (95% CI) were 5.342 (0.215, 10.469) and 4.911 (0.259, 9.564), respectively. The causality was found between the SOCS3 methylation level and abdominal obesity in the Chinese population.
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Affiliation(s)
- Yuqian Li
- Departmentof Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou 450052, China
| | - Xiaotian Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Runqi Tu
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Jian Hou
- Department of Epidemiology and Biostatistics, School of Public Health, Zhengzhou University, Zhengzhou 450052, China
| | - Guihua Zhuang
- Departmentof Epidemiology and Biostatistics, School of Public Health, Xi’an Jiaotong University Health Science Centre, Xi’an 710061, China
- Correspondence: ; Tel.: +86-29-826-551-03
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13
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Zheng Y, Joyce B, Hwang SJ, Ma J, Liu L, Allen N, Krefman A, Wang J, Gao T, Nannini D, Zhang H, Jacobs DR, Gross M, Fornage M, Lewis CE, Schreiner PJ, Sidney S, Chen D, Greenland P, Levy D, Hou L, Lloyd-Jones D. Association of Cardiovascular Health Through Young Adulthood With Genome-Wide DNA Methylation Patterns in Midlife: The CARDIA Study. Circulation 2022; 146:94-109. [PMID: 35652342 PMCID: PMC9348746 DOI: 10.1161/circulationaha.121.055484] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cardiovascular health (CVH) from young adulthood is strongly associated with an individual's future risk of cardiovascular disease (CVD) and total mortality. Defining epigenomic biomarkers of lifelong CVH exposure and understanding their roles in CVD development may help develop preventive and therapeutic strategies for CVD. METHODS In 1085 CARDIA study (Coronary Artery Risk Development in Young Adults) participants, we defined a clinical cumulative CVH score that combines body mass index, blood pressure, total cholesterol, and fasting glucose measured longitudinally from young adulthood through middle age over 20 years (mean age, 25-45). Blood DNA methylation at >840 000 methylation markers was measured twice over 5 years (mean age, 40 and 45). Epigenome-wide association analyses on the cumulative CVH score were performed in CARDIA and compared in the FHS (Framingham Heart Study). We used penalized regression to build a methylation-based risk score to evaluate the risk of incident coronary artery calcification and clinical CVD events. RESULTS We identified 45 methylation markers associated with cumulative CVH at false discovery rate <0.01 (P=4.7E-7-5.8E-17) in CARDIA and replicated in FHS. These associations were more pronounced with methylation measured at an older age. CPT1A, ABCG1, and SREBF1 appeared as the most prominent genes. The 45 methylation markers were mostly located in transcriptionally active chromatin and involved lipid metabolism, insulin secretion, and cytokine production pathways. Three methylation markers located in genes SARS1, SOCS3, and LINC-PINT statistically mediated 20.4% of the total effect between CVH and risk of incident coronary artery calcification. The methylation risk score added information and significantly (P=0.004) improved the discrimination capacity of coronary artery calcification status versus CVH score alone and showed association with risk of incident coronary artery calcification 5 to 10 years later independent of cumulative CVH score (odds ratio, 1.87; P=9.66E-09). The methylation risk score was also associated with incident clinical CVD in FHS (hazard ratio, 1.28; P=1.22E-05). CONCLUSIONS Cumulative CVH from young adulthood contributes to midlife epigenetic programming over time. Our findings demonstrate the role of epigenetic markers in response to CVH changes and highlight the potential of epigenomic markers for precision CVD prevention, and earlier detection of subclinical CVD, as well.
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Affiliation(s)
- Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Brian Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Jiantao Ma
- Tufts University Friedman School of Nutrition Science and Policy, Boston, Massachusetts, USA
| | - Lei Liu
- Division of Biostatistics, Washington University, St. Louis, Missouri, USA
| | - Norrina Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Amy Krefman
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jun Wang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Drew Nannini
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Haixiang Zhang
- Center for Applied Mathematics, Tianjin University, Tianjin, China
| | - David R. Jacobs
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myron Gross
- Department of Laboratory Medicine and Pathology, Medical School, University of Minnesota, Minneapolis, Minnesota, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, Texas, USA
| | - Cora E. Lewis
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, USA
- Division of Preventive Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Pamela J. Schreiner
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Dongquan Chen
- Department of Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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14
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Mandò C, Abati S, Anelli GM, Favero C, Serati A, Dioni L, Zambon M, Albetti B, Bollati V, Cetin I. Epigenetic Profiling in the Saliva of Obese Pregnant Women. Nutrients 2022; 14:nu14102122. [PMID: 35631263 PMCID: PMC9146705 DOI: 10.3390/nu14102122] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/12/2022] [Accepted: 05/16/2022] [Indexed: 02/06/2023] Open
Abstract
Maternal obesity is associated with inflammation and oxidative stress, strongly impacting the intrauterine environment with detrimental consequences for both mother and offspring. The saliva is a non-invasive biofluid reflecting both local and systemic health status. This observational study aimed to profile the epigenetic signature in the saliva of Obese (OB) and Normal-Weight (NW) pregnant women. Sixteen NW and sixteen OB Caucasian women with singleton spontaneous pregnancies were enrolled. microRNAs were quantified by the OpenArray Platform. The promoter region methylation of Suppressor of Cytokine Signaling 3 (SOCS3) and Transforming Growth Factor Beta 1 (TGF-Beta1) was assessed by pyrosequencing. There were 754 microRNAs evaluated: 20 microRNAs resulted in being differentially expressed between OB and NW. microRNA pathway enrichment analysis showed a significant association with the TGF-Beta signaling pathway (miTALOS) and with fatty acids biosynthesis/metabolism, lysine degradation, and ECM–receptor interaction pathways (DIANA–miRPath). Both SOCS3 and TGF-Beta1 were significantly down-methylated in OB vs. NW. These results help to clarify impaired mechanisms involved in obesity and pave the way for the understanding of specific damaged pathways. The characterization of the epigenetic profile in saliva of pregnant women can represent a promising tool for the identification of obesity-related altered mechanisms and of possible biomarkers for early diagnosis and treatment of pregnancy-adverse conditions.
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Affiliation(s)
- Chiara Mandò
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (G.M.A.); (A.S.); (I.C.)
- Correspondence:
| | - Silvio Abati
- Department of Dentistry, University Vita-Salute San Raffaele, 20132 Milan, Italy;
| | - Gaia Maria Anelli
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (G.M.A.); (A.S.); (I.C.)
| | - Chiara Favero
- EPIGET LAB, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy; (C.F.); (L.D.); (B.A.); (V.B.)
| | - Anaïs Serati
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (G.M.A.); (A.S.); (I.C.)
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, 20054 Segrate, Italy
| | - Laura Dioni
- EPIGET LAB, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy; (C.F.); (L.D.); (B.A.); (V.B.)
| | - Marta Zambon
- Department of Woman, Mother and Child, Luigi Sacco and Vittore Buzzi Children Hospital, ASST Fatebenefratelli-Sacco, 20154 Milan, Italy;
| | - Benedetta Albetti
- EPIGET LAB, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy; (C.F.); (L.D.); (B.A.); (V.B.)
| | - Valentina Bollati
- EPIGET LAB, Department of Clinical Sciences and Community Health, Università degli Studi di Milano, 20122 Milan, Italy; (C.F.); (L.D.); (B.A.); (V.B.)
- Occupational Health Unit, Fondazione IRCCS Ca’ Granda Ospedale Maggiore Policlinico, 20122 Milan, Italy
| | - Irene Cetin
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy; (G.M.A.); (A.S.); (I.C.)
- Department of Woman, Mother and Child, Luigi Sacco and Vittore Buzzi Children Hospital, ASST Fatebenefratelli-Sacco, 20154 Milan, Italy;
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15
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Wang YZ, Zhao W, Ammous F, Song Y, Du J, Shang L, Ratliff SM, Moore K, Kelly KM, Needham BL, Diez Roux AV, Liu Y, Butler KR, Kardia SLR, Mukherjee B, Zhou X, Smith JA. DNA Methylation Mediates the Association Between Individual and Neighborhood Social Disadvantage and Cardiovascular Risk Factors. Front Cardiovasc Med 2022; 9:848768. [PMID: 35665255 PMCID: PMC9162507 DOI: 10.3389/fcvm.2022.848768] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2022] [Accepted: 04/29/2022] [Indexed: 12/14/2022] Open
Abstract
Low socioeconomic status (SES) and living in a disadvantaged neighborhood are associated with poor cardiovascular health. Multiple lines of evidence have linked DNA methylation to both cardiovascular risk factors and social disadvantage indicators. However, limited research has investigated the role of DNA methylation in mediating the associations of individual- and neighborhood-level disadvantage with multiple cardiovascular risk factors in large, multi-ethnic, population-based cohorts. We examined whether disadvantage at the individual level (childhood and adult SES) and neighborhood level (summary neighborhood SES as assessed by Census data and social environment as assessed by perceptions of aesthetic quality, safety, and social cohesion) were associated with 11 cardiovascular risk factors including measures of obesity, diabetes, lipids, and hypertension in 1,154 participants from the Multi-Ethnic Study of Atherosclerosis (MESA). For significant associations, we conducted epigenome-wide mediation analysis to identify methylation sites mediating the relationship between individual/neighborhood disadvantage and cardiovascular risk factors using the JT-Comp method that assesses sparse mediation effects under a composite null hypothesis. In models adjusting for age, sex, race/ethnicity, smoking, medication use, and genetic principal components of ancestry, epigenetic mediation was detected for the associations of adult SES with body mass index (BMI), insulin, and high-density lipoprotein cholesterol (HDL-C), as well as for the association between neighborhood socioeconomic disadvantage and HDL-C at FDR q < 0.05. The 410 CpG mediators identified for the SES-BMI association were enriched for CpGs associated with gene expression (expression quantitative trait methylation loci, or eQTMs), and corresponding genes were enriched in antigen processing and presentation pathways. For cardiovascular risk factors other than BMI, most of the epigenetic mediators lost significance after controlling for BMI. However, 43 methylation sites showed evidence of mediating the neighborhood socioeconomic disadvantage and HDL-C association after BMI adjustment. The identified mediators were enriched for eQTMs, and corresponding genes were enriched in inflammatory and apoptotic pathways. Our findings support the hypothesis that DNA methylation acts as a mediator between individual- and neighborhood-level disadvantage and cardiovascular risk factors, and shed light on the potential underlying epigenetic pathways. Future studies are needed to fully elucidate the biological mechanisms that link social disadvantage to poor cardiovascular health.
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Affiliation(s)
- Yi Zhe Wang
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Farah Ammous
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Yanyi Song
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jiacong Du
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Lulu Shang
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Scott M. Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Kari Moore
- Urban Health Collaborative, Drexel University, Philadelphia, PA, United States
| | - Kristen M. Kelly
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Belinda L. Needham
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Ana V. Diez Roux
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, Philadelphia, PA, United States
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Kenneth R. Butler
- Department of Medicine, Division of Geriatrics, University of Mississippi Medical Center, Jackson, MS, United States
| | - Sharon L. R. Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Bhramar Mukherjee
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Xiang Zhou
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, United States
| | - Jennifer A. Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, United States
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, United States
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16
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Fraszczyk E, Spijkerman AMW, Zhang Y, Brandmaier S, Day FR, Zhou L, Wackers P, Dollé MET, Bloks VW, Gào X, Gieger C, Kooner J, Kriebel J, Picavet HSJ, Rathmann W, Schöttker B, Loh M, Verschuren WMM, van Vliet-Ostaptchouk JV, Wareham NJ, Chambers JC, Ong KK, Grallert H, Brenner H, Luijten M, Snieder H. Epigenome-wide association study of incident type 2 diabetes: a meta-analysis of five prospective European cohorts. Diabetologia 2022; 65:763-776. [PMID: 35169870 PMCID: PMC8960572 DOI: 10.1007/s00125-022-05652-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Accepted: 11/15/2021] [Indexed: 02/02/2023]
Abstract
AIMS/HYPOTHESIS Type 2 diabetes is a complex metabolic disease with increasing prevalence worldwide. Improving the prediction of incident type 2 diabetes using epigenetic markers could help tailor prevention efforts to those at the highest risk. The aim of this study was to identify predictive methylation markers for incident type 2 diabetes by combining epigenome-wide association study (EWAS) results from five prospective European cohorts. METHODS We conducted a meta-analysis of EWASs in blood collected 7-10 years prior to type 2 diabetes diagnosis. DNA methylation was measured with Illumina Infinium Methylation arrays. A total of 1250 cases and 1950 controls from five longitudinal cohorts were included: Doetinchem, ESTHER, KORA1, KORA2 and EPIC-Norfolk. Associations between DNA methylation and incident type 2 diabetes were examined using robust linear regression with adjustment for potential confounders. Inverse-variance fixed-effects meta-analysis of cohort-level individual CpG EWAS estimates was performed using METAL. The methylGSA R package was used for gene set enrichment analysis. Confirmation of genome-wide significant CpG sites was performed in a cohort of Indian Asians (LOLIPOP, UK). RESULTS The meta-analysis identified 76 CpG sites that were differentially methylated in individuals with incident type 2 diabetes compared with control individuals (p values <1.1 × 10-7). Sixty-four out of 76 (84.2%) CpG sites were confirmed by directionally consistent effects and p values <0.05 in an independent cohort of Indian Asians. However, on adjustment for baseline BMI only four CpG sites remained genome-wide significant, and addition of the 76 CpG methylation risk score to a prediction model including established predictors of type 2 diabetes (age, sex, BMI and HbA1c) showed no improvement (AUC 0.757 vs 0.753). Gene set enrichment analysis of the full epigenome-wide results clearly showed enrichment of processes linked to insulin signalling, lipid homeostasis and inflammation. CONCLUSIONS/INTERPRETATION By combining results from five European cohorts, and thus significantly increasing study sample size, we identified 76 CpG sites associated with incident type 2 diabetes. Replication of 64 CpGs in an independent cohort of Indian Asians suggests that the association between DNA methylation levels and incident type 2 diabetes is robust and independent of ethnicity. Our data also indicate that BMI partly explains the association between DNA methylation and incident type 2 diabetes. Further studies are required to elucidate the underlying biological mechanisms and to determine potential causal roles of the differentially methylated CpG sites in type 2 diabetes development.
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Affiliation(s)
- Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Annemieke M W Spijkerman
- Centre for Nutrition, Prevention and Health services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Stefan Brandmaier
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Felix R Day
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Li Zhou
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - Paul Wackers
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Martijn E T Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Vincent W Bloks
- Department of Pediatrics, Section of Molecular Metabolism and Nutrition, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xīn Gào
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Jaspal Kooner
- Department of Cardiology, Ealing Hospital, Ealing, UK
- Imperial College Healthcare NHS Trust, London, UK
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Jennifer Kriebel
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - H Susan J Picavet
- Centre for Nutrition, Prevention and Health services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Wolfgang Rathmann
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Center, Auf'm Hennekamp, Duesseldorf, Germany
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
| | - W M Monique Verschuren
- Centre for Nutrition, Prevention and Health services, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Genomics Coordination Center, Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge School of Clinical Medicine, Cambridge, UK
- Department of Paediatrics, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Harald Grallert
- Research Unit of Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
- Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Mirjam Luijten
- Centre for Health Protection, National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands.
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17
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Harvanek ZM, Fogelman N, Xu K, Sinha R. Psychological and biological resilience modulates the effects of stress on epigenetic aging. Transl Psychiatry 2021; 11:601. [PMID: 34839356 PMCID: PMC8627511 DOI: 10.1038/s41398-021-01735-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Revised: 10/31/2021] [Accepted: 11/10/2021] [Indexed: 11/09/2022] Open
Abstract
Our society is experiencing more stress than ever before, leading to both negative psychiatric and physical outcomes. Chronic stress is linked to negative long-term health consequences, raising the possibility that stress is related to accelerated aging. In this study, we examine whether resilience factors affect stress-associated biological age acceleration. Recently developed "epigenetic clocks" such as GrimAge have shown utility in predicting biological age and mortality. Here, we assessed the impact of cumulative stress, stress physiology, and resilience on accelerated aging in a community sample (N = 444). Cumulative stress was associated with accelerated GrimAge (P = 0.0388) and stress-related physiologic measures of adrenal sensitivity (Cortisol/ACTH ratio) and insulin resistance (HOMA). After controlling for demographic and behavioral factors, HOMA correlated with accelerated GrimAge (P = 0.0186). Remarkably, psychological resilience factors of emotion regulation and self-control moderated these relationships. Emotion regulation moderated the association between stress and aging (P = 8.82e-4) such that with worse emotion regulation, there was greater stress-related age acceleration, while stronger emotion regulation prevented any significant effect of stress on GrimAge. Self-control moderated the relationship between stress and insulin resistance (P = 0.00732), with high self-control blunting this relationship. In the final model, in those with poor emotion regulation, cumulative stress continued to predict additional GrimAge Acceleration even while accounting for demographic, physiologic, and behavioral covariates. These results demonstrate that cumulative stress is associated with epigenetic aging in a healthy population, and these associations are modified by biobehavioral resilience factors.
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Affiliation(s)
- Zachary M. Harvanek
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA
| | - Nia Fogelman
- grid.47100.320000000419368710Yale Stress Center, Yale University, New Haven, CT USA
| | - Ke Xu
- grid.47100.320000000419368710Department of Psychiatry, Yale University, New Haven, CT USA ,Department of Psychiatry, Connecticut Veteran Healthcare System, West Haven, CT USA
| | - Rajita Sinha
- Department of Psychiatry, Yale University, New Haven, CT, USA. .,Yale Stress Center, Yale University, New Haven, CT, USA. .,Department of Neuroscience, Yale University, New Haven, CT, USA. .,Child Study Center, Yale University, New Haven, CT, USA.
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18
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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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19
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Do WL, Gohar J, McCullough LE, Galaviz KI, Conneely KN, Narayan KMV. Examining the association between adiposity and DNA methylation: A systematic review and meta-analysis. Obes Rev 2021; 22:e13319. [PMID: 34278703 DOI: 10.1111/obr.13319] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Revised: 05/26/2021] [Accepted: 06/22/2021] [Indexed: 12/13/2022]
Abstract
Obesity is associated with widespread differential DNA methylation (DNAm) patterns, though there have been limited overlap in the obesity-associated cytosine-guanine nucleotide pair (CpG) sites that have been identified in the literature. We systematically searched four databases for studies published until January 2020. Eligible studies included cross-sectional, longitudinal, or intervention studies examining adiposity and genome-wide DNAm in non-pregnant adults aged 18-75 in all tissue types. Study design and results were extracted in the descriptive review. Blood-based DNAm results in body mass index (BMI) and waist circumference (WC) were meta-analyzed using weighted sum of Z-score meta-analysis. Of the 10,548 studies identified, 46 studies were included in the systematic review with 18 and nine studies included in the meta-analysis of BMI and WC, respectively. In the blood, 77 and four CpG sites were significant in three or more studies of BMI and WC, respectively. Using a genome-wide threshold for significance, 52 blood-based CpG sites were significantly associated with BMI. These sites have previously been associated with many obesity-related diseases including type 2 diabetes, cardiovascular disease, Crohn's disease, and depression. Our study shows that DNAm at 52 CpG sites represent potential mediators of obesity-associated chronic diseases and may be novel intervention or therapeutic targets to protect against obesity-associated chronic diseases.
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Affiliation(s)
- Whitney L Do
- Nutrition and Health Sciences Program, Laney Graduate School, Emory University, Atlanta, Georgia, USA
| | - Jazib Gohar
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Lauren E McCullough
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
| | - Karla I Galaviz
- Department of Applied Health Science, School of Public Health, Indiana University Bloomington, Bloomington, Indiana, USA
| | - Karen N Conneely
- Department of Human Genetics, School of Medicine, Emory University, Atlanta, Georgia, USA
| | - K M Venkat Narayan
- Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA
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20
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Zhao N, Ruan M, Koestler DC, Lu J, Marsit CJ, Kelsey KT, Platz EA, Michaud DS. Epigenome-wide scan identifies differentially methylated regions for lung cancer using pre-diagnostic peripheral blood. Epigenetics 2021; 17:460-472. [PMID: 34008478 DOI: 10.1080/15592294.2021.1923615] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
BACKGROUND DNA methylation markers have been associated with lung cancer risk and may identify aetiologically relevant genomic regions, or alternatively, be markers of disease risk factors or biological processes associated with disease development. METHODS In a nested case-control study, we measured blood leukocyte DNA methylation levels in pre-diagnostic samples collected from 430 participants (208 cases; 222 controls) in the 1989 CLUE II cohort. We compared DNA methylation levels with case/control status to identify novel genomic regions, both single CpG sites and differentially methylated regions (DMRs), while controlling for known DNA methylation changes associated with smoking using a previously described pack-years-based smoking methylation score. Stratification analyses were conducted over time from blood draw to diagnosis, histology, and smoking status. RESULTS We identified 16 single CpG sites and 40 DMRs significantly associated with lung cancer risk (q < 0.05). The identified genomic regions were associated with genes including H19, HOXA3/HOXA4, RUNX3, BRICD5, PLXNB2, and RP13. For the single CpG sites, the strongest association was noted for cg09736286 in the DIABLO gene (OR [for 1 SD] = 2.99, 95% CI: 1.95-4.59, P-value = 4.81 × 10-7). We found that CpG sites in the HOXA3/HOXA4 region were hypermethylated in cases compared to controls. CONCLUSION The single CpG sites and DMRs that we identified represented significant measurable differences in lung cancer risk, providing potential biomarkers for lung cancer risk stratification. Future studies will need to examine whether these regions are causally related to lung cancer.
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Affiliation(s)
- Naisi Zhao
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA
| | - Mengyuan Ruan
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA
| | - Devin C Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.,University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, KS, USA
| | - Jiayun Lu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Carmen J Marsit
- Department of Environmental Health and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Karl T Kelsey
- Department of Epidemiology, Brown University, Providence, RI, USA.,Department of Pathology and Laboratory Medicine, Brown University, Providence, RI, USA
| | - Elizabeth A Platz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.,The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins, Baltimore, MD, USA
| | - Dominique S Michaud
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, MA, USA.,Department of Epidemiology, Brown University, Providence, RI, USA
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21
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Zampieri M, Bacalini MG, Barchetta I, Scalea S, Cimini FA, Bertoccini L, Tagliatesta S, De Matteis G, Zardo G, Cavallo MG, Reale A. Increased PARylation impacts the DNA methylation process in type 2 diabetes mellitus. Clin Epigenetics 2021; 13:114. [PMID: 34001206 PMCID: PMC8130175 DOI: 10.1186/s13148-021-01099-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/10/2021] [Indexed: 11/28/2022] Open
Abstract
Background Epigenetic modifications, such as DNA methylation, can influence the genetic susceptibility to type 2 diabetes mellitus (T2DM) and the progression of the disease. Our previous studies demonstrated that the regulation of the DNA methylation pattern involves the poly(ADP-ribosyl)ation (PARylation) process, a post-translational modification of proteins catalysed by the poly(ADP-ribose) polymerase (PARP) enzymes. Experimental data showed that the hyperactivation of PARylation is associated with impaired glucose metabolism and the development of T2DM. Aims of this case–control study were to investigate the association between PARylation and global and site-specific DNA methylation in T2DM and to evaluate metabolic correlates. Results Data were collected from 61 subjects affected by T2DM and 48 healthy individuals, recruited as controls. Global levels of poly(ADP-ribose) (PAR, a surrogate of PARP activity), cytosine methylation (5-methylcytosine, 5mC) and de-methylation intermediates 5-hydroxymethylcytosine (5hmC) and 5-formylcytosine (5fC) were determined in peripheral blood cells by ELISA-based methodologies. Site-specific DNA methylation profiling of SOCS3, SREBF1 and TXNIP candidate genes was performed by mass spectrometry-based bisulfite sequencing, methyl-sensitive endonucleases digestion and by DNA immuno-precipitation. T2DM subjects presented higher PAR levels than controls. In T2DM individuals, increased PAR levels were significantly associated with higher HbA1c levels and the accumulation of the de-methylation intermediates 5hmC and 5fC in the genome. In addition, T2DM patients with higher PAR levels showed reduced methylation with increased 5hmC and 5fC levels in specific SOCS3 sites, up-regulated SOCS3 expression compared to both T2DM subjects with low PAR levels and controls. Conclusions This study demonstrates the activation of PARylation processes in patients with T2DM, particularly in those with poor glycaemic control. PARylation is linked to dysregulation of DNA methylation pattern via activation of the DNA de-methylation cascade and may be at the basis of the differential gene expression observed in presence of diabetes. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01099-1.
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Affiliation(s)
- Michele Zampieri
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | | | - Ilaria Barchetta
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Stefania Scalea
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Flavia Agata Cimini
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Laura Bertoccini
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Stefano Tagliatesta
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Giovanna De Matteis
- Research Centre for Animal Production and Aquaculture, Consiglio Per La Ricerca in Agricoltura E L'Analisi Dell'Economia Agraria (CREA), 00015, Monterotondo, Italy
| | - Giuseppe Zardo
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy
| | - Maria Gisella Cavallo
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy.
| | - Anna Reale
- Department of Experimental Medicine, Faculty of Medicine and Dentistry, Sapienza University of Rome, 00161, Rome, Italy.
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22
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Cao VT, Lea RA, Sutherland HG, Benton MC, Pishva RS, Haupt LM, Griffiths LR. A genome-wide methylation study of body fat traits in the Norfolk Island isolate. Nutr Metab Cardiovasc Dis 2021; 31:1556-1563. [PMID: 33810959 DOI: 10.1016/j.numecd.2021.01.027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 01/27/2021] [Accepted: 01/27/2021] [Indexed: 11/25/2022]
Abstract
BACKGROUND AND AIMS Natural variation in body fat is explained by both genetic and environmental effects. Epigenetic mechanisms such as DNA methylation can mediate these effects causing changes in gene expression leading to onset of obesity. Studies of genetic isolates have the potential to provide new epigenetic insights with advantages such as reduced genetic diversity and environmental exposures. METHODS AND RESULTS This was an exploratory study of genome-wide DNA methylation in relation to body fat traits in 47 healthy adults from the genetic isolate of Norfolk Island. Quantitative body fat traits (body fat percentage, body mass index, hip circumference, waist circumference, waist-hip-ratio and weight) were carefully measured. DNA methylation data was obtained from peripheral blood using Illumina 450K arrays. Multi-trait analysis was performed using Principal Component Analysis (PCA). CpG by trait association testing was performed using stepwise linear regressions. Two components were identified that explained approximately 89% of the phenotypic variance. In total, 5 differential methylated positions (DMPs) were identified at genome-wide significance (P≤ 2.4 × 10-7), which mapped to GOT2-CDH8, LYSMD3, HIBADH, ADGRD1 and EBF4 genes. Gene set enrichment analysis of 848 genes containing suggestive DMPs (P≤ 1.0 × 10-4) implicated the Cadherin (28 genes, Padj = 6.76 × 10-7) and Wnt signaling pathways (38 genes, Padj = 7.78 × 10-6). CONCLUSION This study provides new insights into the epigenetically influenced genes and pathways underlying body fat variation in a healthy cohort and provides targets for consideration in future studies of obesity risk.
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Affiliation(s)
- Van T Cao
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Rodney A Lea
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Heidi G Sutherland
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Miles C Benton
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia; Human Genomics, Institute of Environmental Science and Research, Kenepuru, Wellington, New Zealand.
| | - Reza S Pishva
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Larisa M Haupt
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
| | - Lyn R Griffiths
- Queensland University of Technology (QUT), Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Institute of Health and Biomedical Innovation, 60 Musk Ave., Kelvin Grove, Queensland 4059, Australia.
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23
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Choi YJ, Lee YA, Hong YC, Cho J, Lee KS, Shin CH, Kim BN, Kim JI, Park SJ, Bisgaard H, Bønnelykke K, Lim YH. Effect of prenatal bisphenol A exposure on early childhood body mass index through epigenetic influence on the insulin-like growth factor 2 receptor (IGF2R) gene. ENVIRONMENT INTERNATIONAL 2020; 143:105929. [PMID: 32645488 DOI: 10.1016/j.envint.2020.105929] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Revised: 06/22/2020] [Accepted: 06/23/2020] [Indexed: 06/11/2023]
Abstract
OBJECTIVES Epigenetic mechanisms have been suggested to play a role in the link between in utero exposure to bisphenol A (BPA) and pediatric obesity; however, there is little evidence regarding this mechanism in humans. We obtained data on obesity-associated CpG sites from a previous epigenome-wide association study, and then examined whether methylation at those CpG sites was influenced by prenatal BPA exposure. We then evaluated the relationship between CpG methylation status and body mass index (BMI) in a prospective children's cohort at ages 2, 4, 6, and 8 years. METHODS Methylation profiles of 59 children were longitudinally analyzed at ages 2 and 6 years using the Infinium Human Methylation BeadChip. A total of 594 CpG sites known to be BMI or obesity-associated sites were tested for an association with prenatal BPA levels, categorized into low and high exposure groups based on the 80th percentile of maternal BPA levels (2.68 μg/g creatinine), followed by an analysis of the association between DNA methylation and BMI from ages 2-8. RESULTS There was a significant increase in the methylation levels of cg19196862 (IGF2R) in the high BPA group at age 2 years (p = 0.00030, false discovery rate corrected p < 0.10) but not at age 6. With one standard deviation increase of methylation at cg19196862 (IGF2R) at age 2 years, the linear mixed model analysis revealed that BMI during ages 2-8 years significantly increased by 0.49 (95% confidence interval; 0.08, 0.90) in girls, but not in boys. The indirect effect of prenatal BPA exposure on early childhood BMI through methylation at cg19196862 (IGF2R) at age 2 years was marginally significant. CONCLUSIONS Prenatal exposure to BPA may influence differential methylation of IGF2R at age 2. This result indicates that a possible sensitive period of DNA methylation occurs earlier during development, which may affect BMI until later childhood in a sex-specific manner.
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Affiliation(s)
- Yoon-Jung Choi
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Young Ah Lee
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Yun-Chul Hong
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 03080, Republic of Korea
| | - Jinwoo Cho
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 03080, Republic of Korea
| | - Kyung-Shin Lee
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul 03080, Republic of Korea; Environmental Health Center, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Choong Ho Shin
- Department of Pediatrics, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Bung-Nyun Kim
- Division of Children and Adolescent Psychiatry, Department of Psychiatry, Seoul National University Hospital, Seoul 03080, Republic of Korea
| | - Johanna Inhyang Kim
- Department of Psychiatry, Hanyang University Medical Center, Seoul 04763, Republic of Korea
| | - Soo Jin Park
- Department of Surgery, Wonkwang University Sanbon Hospital, Gunpo 15865, Republic of Korea
| | - Hans Bisgaard
- COPSAC (Copenhagen Prospective Studies on Asthma in Childhood), Herlev and Gentofte Hospital, University of Copenhagen, 2820, Gentofte, Copenhagen, Denmark
| | - Klaus Bønnelykke
- COPSAC (Copenhagen Prospective Studies on Asthma in Childhood), Herlev and Gentofte Hospital, University of Copenhagen, 2820, Gentofte, Copenhagen, Denmark
| | - Youn-Hee Lim
- Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul 03080, Republic of Korea; Section of Environmental Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen 1014, Denmark.
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24
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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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25
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Rancourt RC, Ott R, Schellong K, Ziska T, Melchior K, Henrich W, Plagemann A. Altered SOCS3 DNA methylation within exon 2 is associated with increased mRNA expression in visceral adipose tissue in gestational diabetes. Epigenetics 2020; 16:488-494. [PMID: 32752921 DOI: 10.1080/15592294.2020.1805695] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
Abstract
Overweight/obesity is the main risk factor for gestational diabetes mellitus (GDM). In our cohort of pregnant women with GDM, n = 19, and without, n = 22, we previously reported a significant increase in SOCS3 mRNA expression (+62%) in visceral adipose tissue (VAT) according to GDM, without altered promoter DNA-methylation. Here, we examined methylation status of additional SOCS3 exon 2 regions in VAT and maternal blood. We found significantly altered methylation at specific CpG sites corresponding to aberrant mRNA expression levels of SOCS3 in VAT. We propose a potential regulatory element/region within exon 2; however, this region does not appear to be a good blood-marker representing VAT.
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Affiliation(s)
- Rebecca C Rancourt
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Raffael Ott
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Karen Schellong
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Thomas Ziska
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Kerstin Melchior
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Wolfgang Henrich
- Clinic of Obstetrics, Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
| | - Andreas Plagemann
- Division of 'Experimental Obstetrics', Clinic of Obstetrics, Charité- Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität Zu Berlin, Berlin Institute of Health, Berlin, Germany
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26
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Ma J, Rebholz CM, Braun KV, Reynolds LM, Aslibekyan S, Xia R, Biligowda NG, Huan T, Liu C, Mendelson MM, Joehanes R, Hu EA, Vitolins MZ, Wood AC, Lohman K, Ochoa-Rosales C, van Meurs J, Uitterlinden A, Liu Y, Elhadad MA, Heier M, Waldenberger M, Peters A, Colicino E, Whitsel EA, Baldassari A, Gharib SA, Sotoodehnia N, Brody JA, Sitlani CM, Tanaka T, Hill WD, Corley J, Deary IJ, Zhang Y, Schöttker B, Brenner H, Walker ME, Ye S, Nguyen S, Pankow J, Demerath EW, Zheng Y, Hou L, Liang L, Lichtenstein AH, Hu FB, Fornage M, Voortman T, Levy D. Whole Blood DNA Methylation Signatures of Diet Are Associated With Cardiovascular Disease Risk Factors and All-Cause Mortality. CIRCULATION. GENOMIC AND PRECISION MEDICINE 2020; 13:e002766. [PMID: 32525743 PMCID: PMC7442697 DOI: 10.1161/circgen.119.002766] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2019] [Accepted: 05/05/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND DNA methylation patterns associated with habitual diet have not been well studied. METHODS Diet quality was characterized using a Mediterranean-style diet score and the Alternative Healthy Eating Index score. We conducted ethnicity-specific and trans-ethnic epigenome-wide association analyses for diet quality and leukocyte-derived DNA methylation at over 400 000 CpGs (cytosine-guanine dinucleotides) in 5 population-based cohorts including 6662 European ancestry, 2702 African ancestry, and 360 Hispanic ancestry participants. For diet-associated CpGs identified in epigenome-wide analyses, we conducted Mendelian randomization (MR) analysis to examine their relations to cardiovascular disease risk factors and examined their longitudinal associations with all-cause mortality. RESULTS We identified 30 CpGs associated with either Mediterranean-style diet score or Alternative Healthy Eating Index, or both, in European ancestry participants. Among these CpGs, 12 CpGs were significantly associated with all-cause mortality (Bonferroni corrected P<1.6×10-3). Hypermethylation of cg18181703 (SOCS3) was associated with higher scores of both Mediterranean-style diet score and Alternative Healthy Eating Index and lower risk for all-cause mortality (P=5.7×10-15). Ten additional diet-associated CpGs were nominally associated with all-cause mortality (P<0.05). MR analysis revealed 8 putatively causal associations for 6 CpGs with 4 cardiovascular disease risk factors (body mass index, triglycerides, high-density lipoprotein cholesterol concentrations, and type 2 diabetes mellitus; Bonferroni corrected MR P<4.5×10-4). For example, hypermethylation of cg11250194 (FADS2) was associated with lower triglyceride concentrations (MR, P=1.5×10-14).and hypermethylation of cg02079413 (SNORA54; NAP1L4) was associated with body mass index (corrected MR, P=1×10-6). CONCLUSIONS Habitual diet quality was associated with differential peripheral leukocyte DNA methylation levels of 30 CpGs, most of which were also associated with multiple health outcomes, in European ancestry individuals. These findings demonstrate that integrative genomic analysis of dietary information may reveal molecular targets for disease prevention and treatment.
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Affiliation(s)
- Jiantao Ma
- Nutrition Epidemiology & Data Science, Friedman School of Nutrition Science and Policy, Tufts Univ, Boston
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
| | - Casey M. Rebholz
- Dept of Epidemiology, Bloomberg School of Public Health, Johns Hopkins Univ, Baltimore, MD
| | - Kim V.E. Braun
- Dept of Epidemiology, Erasmus Univ Medical Ctr, Rotterdam, The Netherlands
| | - Lindsay M. Reynolds
- Dept of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | | | - Rui Xia
- Inst of Molecular Medicine, The Univ of Texas Health Science Ctr at Houston, Houston, TX
| | | | - Tianxiao Huan
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
| | - Chunyu Liu
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
- Dept of Biostatistics, Boston Univ, Boston, MA
| | - Michael M. Mendelson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
- Dept of Cardiology, Boston Children’s Hospital, Harvard Medical School, Boston, MA
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
| | - Emily A. Hu
- Dept of Epidemiology, Bloomberg School of Public Health, Johns Hopkins Univ, Baltimore, MD
| | - Mara Z. Vitolins
- Dept of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Alexis C. Wood
- USDA/ARS Children’s Nutrition Rsrch Ctr, Baylor College of Medicine, Houston, TX
| | - Kurt Lohman
- Dept of Biostatistics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Carolina Ochoa-Rosales
- Dept of Epidemiology, Erasmus Univ Medical Ctr, Rotterdam, The Netherlands
- Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile
| | - Joyce van Meurs
- Dept of Internal Medicine, Erasmus Univ Medical Ctr, Rotterdam, The Netherlands
| | - Andre Uitterlinden
- Dept of Internal Medicine, Erasmus Univ Medical Ctr, Rotterdam, The Netherlands
| | - Yongmei Liu
- Dept of Epidemiology & Prevention, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mohamed A. Elhadad
- Inst of Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- Rsrch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- DZHK (German Centre for Cardiovascular Rsrch), partner site Munich Heart Alliance, Munich
| | - Margit Heier
- Inst of Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- KORA Study Centre, Univ Hospital of Augsburg, Augsburg, Germany
| | - Melanie Waldenberger
- Inst of Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- Rsrch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- DZHK (German Centre for Cardiovascular Rsrch), partner site Munich Heart Alliance, Munich
| | - Annette Peters
- Inst of Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- Rsrch Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Ctr for Environmental Health, Neuherberg
- DZHK (German Centre for Cardiovascular Rsrch), partner site Munich Heart Alliance, Munich
| | - Elena Colicino
- Dept of Environmental Health Sciences, Columbia Univ, New York City, NY
| | - Eric A. Whitsel
- Dept of Epidemiology, Gillings School of Global Public Health, Univ of North Carolina, Chapel Hill, NC
- Dept of Medicine, School of Medicine, Univ of North Carolina, Chapel Hill, NC
| | - Antoine Baldassari
- Dept of Epidemiology, Gillings School of Global Public Health, Univ of North Carolina, Chapel Hill, NC
| | - Sina A. Gharib
- The Cardiovascular Health Research Unit, Univ of Washington, Seattle, WA
| | - Nona Sotoodehnia
- The Cardiovascular Health Research Unit, Univ of Washington, Seattle, WA
| | - Jennifer A. Brody
- The Cardiovascular Health Research Unit, Univ of Washington, Seattle, WA
| | - Colleen M. Sitlani
- The Cardiovascular Health Research Unit, Univ of Washington, Seattle, WA
| | - Toshiko Tanaka
- Longitudinal Study Section, Nat Inst of Aging, NIH, Bethesda, MD
| | - W. David Hill
- Lothian Birth Cohorts, Univ of Edinburgh, Edinburgh, UK
- Dept of Psychology, Univ of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Lothian Birth Cohorts, Univ of Edinburgh, Edinburgh, UK
- Dept of Psychology, Univ of Edinburgh, Edinburgh, UK
| | - Ian J. Deary
- Lothian Birth Cohorts, Univ of Edinburgh, Edinburgh, UK
- Dept of Psychology, Univ of Edinburgh, Edinburgh, UK
| | - Yan Zhang
- Division of Clinical Epidemiology & Aging Research, German Cancer Rsrch Ctr (DKFZ)
| | - Ben Schöttker
- Division of Clinical Epidemiology & Aging Research, German Cancer Rsrch Ctr (DKFZ)
- Network Aging Research (NAR), Univ of Heidelberg, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology & Aging Research, German Cancer Rsrch Ctr (DKFZ)
- Network Aging Research (NAR), Univ of Heidelberg, Heidelberg, Germany
| | - Maura E. Walker
- Section of Preventive Medicine & Epidemiology, Boston Univ School of Medicine, Boston, MA
| | - Shumao Ye
- Cardiovascular Nutrition Laboratory, USDA Human Nutrition Rsrch Ctr on Aging, Tufts Univ, Boston
| | - Steve Nguyen
- Division of Epidemiology & Community Health, School of Public Health, Univ of Minnesota, Minneapolis, MN
| | - Jim Pankow
- Division of Epidemiology & Community Health, School of Public Health, Univ of Minnesota, Minneapolis, MN
| | - Ellen W. Demerath
- Division of Epidemiology & Community Health, School of Public Health, Univ of Minnesota, Minneapolis, MN
| | - Yinan Zheng
- Ctr for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Ctr & Dept of Preventive Medicine, Northwestern Univ Feinberg School of Medicine, Chicago, IL
| | - Lifang Hou
- Ctr for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Ctr & Dept of Preventive Medicine, Northwestern Univ Feinberg School of Medicine, Chicago, IL
| | - Liming Liang
- Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Dept of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Alice H. Lichtenstein
- Cardiovascular Nutrition Laboratory, USDA Human Nutrition Rsrch Ctr on Aging, Tufts Univ, Boston
| | - Frank B. Hu
- Dept of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Dept of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Myriam Fornage
- Inst of Molecular Medicine, The Univ of Texas Health Science Ctr at Houston, Houston, TX
| | - Trudy Voortman
- Dept of Epidemiology, Erasmus Univ Medical Ctr, Rotterdam, The Netherlands
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD & the Framingham Heart Study, Framingham, MA
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27
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Krause BJ, Artigas R, Sciolla AF, Hamilton J. Epigenetic mechanisms activated by childhood adversity. Epigenomics 2020; 12:1239-1255. [PMID: 32706263 DOI: 10.2217/epi-2020-0042] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Adverse childhood experiences (ACE) impair health and life expectancy and may result in an epigenetic signature that drives increased morbidity primed during early stages of life. This literature review focuses on the current evidence for epigenetic-mediated programming of brain and immune function resulting from ACE. To address this aim, a total of 88 articles indexed in PubMed before August 2019 concerning ACE and epigenetics were surveyed. Current evidence partially supports epigenetic programming of the hypothalamic-pituitary-adrenal axis, but convincingly shows that ACE impairs immune function. Additionally, the needs and challenges that face this area are discussed in order to provide a framework that may help to clarify the role of epigenetics in the long-lasting effects of ACE.
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Affiliation(s)
- Bernardo J Krause
- Instituto de Ciencias de la Salud, Universidad de O''Higgins, Rancagua, Chile.,CUIDA - Centro de Investigación del Abuso y la Adversidad Temprana, Pontificia Universidad Católica de Chile, Avenida Libertador Bernardo O'Higgins 340, Santiago, Chile
| | - Rocio Artigas
- CUIDA - Centro de Investigación del Abuso y la Adversidad Temprana, Pontificia Universidad Católica de Chile, Avenida Libertador Bernardo O'Higgins 340, Santiago, Chile
| | - Andres F Sciolla
- Department of Psychiatry & Behavioral Sciences, University of California, Davis, CA 95834, USA
| | - James Hamilton
- CUIDA - Centro de Investigación del Abuso y la Adversidad Temprana, Pontificia Universidad Católica de Chile, Avenida Libertador Bernardo O'Higgins 340, Santiago, Chile.,Fundación Para la Confianza, Pérez Valenzuela 1264, Providencia, Santiago, Chile
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28
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Sarma RR, Edwards RJ, Crino OL, Eyck HJF, Waters PD, Crossland MR, Shine R, Rollins LA. Do Epigenetic Changes Drive Corticosterone Responses to Alarm Cues in Larvae of an Invasive Amphibian? Integr Comp Biol 2020; 60:1481-1494. [PMID: 32544233 DOI: 10.1093/icb/icaa082] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/23/2023] Open
Abstract
The developmental environment can exert powerful effects on animal phenotype. Recently, epigenetic modifications have emerged as one mechanism that can modulate developmentally plastic responses to environmental variability. For example, the DNA methylation profile at promoters of hormone receptor genes can affect their expression and patterns of hormone release. Across taxonomic groups, epigenetic alterations have been linked to changes in glucocorticoid (GC) physiology. GCs are metabolic hormones that influence growth, development, transitions between life-history stages, and thus fitness. To date, relatively few studies have examined epigenetic effects on phenotypic traits in wild animals, especially in amphibians. Here, we examined the effects of exposure to predation threat (alarm cues) and experimentally manipulated DNA methylation on corticosterone (CORT) levels in tadpoles and metamorphs of the invasive cane toad (Rhinella marina). We included offspring of toads sampled from populations across the species' Australian range. In these animals, exposure to chemical cues from injured conspecifics induces shifts in developmental trajectories, putatively as an adaptive response that lessens vulnerability to predation. We exposed tadpoles to these alarm cues, and measured changes in DNA methylation and CORT levels, both of which are mechanisms that have been implicated in the control of phenotypically plastic responses in tadpoles. To test the idea that DNA methylation drives shifts in GC physiology, we also experimentally manipulated methylation levels with the drug zebularine. We found differentially methylated regions (DMRs) between control tadpoles and their full-siblings exposed to alarm cues, zebularine, or both treatments. However, the effects of these manipulations on methylation patterns were weaker than clutch (e.g., genetic, maternal, etc.) effects. CORT levels were higher in larval cane toads exposed to alarm cues and zebularine. We found little evidence of changes in DNA methylation across the GC receptor gene (NR3C1) promoter region in response to alarm cue or zebularine exposure. In both alarm cue and zebularine-exposed individuals, we found differentially methylated DNA in the suppressor of cytokine signaling 3 gene (SOCS3), which may be involved in predator avoidance behavior. In total, our data reveal that alarm cues have significant impacts on tadpole physiology, but show only weak links between DNA methylation and CORT levels. We also identify genes containing DMRs in tadpoles exposed to alarm cues and zebularine, particularly in range-edge populations, that warrant further investigation.
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Affiliation(s)
- Roshmi R Sarma
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Richard J Edwards
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Ondi L Crino
- Centre for Integrative Ecology, School of Life and Environmental Sciences (LES), Deakin University, Geelong, Victoria, Australia.,Department of Biological Sciences, Macquarie University, NSW 2052, Australia
| | - Harrison J F Eyck
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Paul D Waters
- School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Michael R Crossland
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Richard Shine
- Department of Biological Sciences, Macquarie University, NSW 2052, Australia
| | - Lee A Rollins
- Evolution & Ecology Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia
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29
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Michaud DS, Ruan M, Koestler DC, Alonso L, Molina-Montes E, Pei D, Marsit CJ, De Vivo I, Malats N, Kelsey KT. DNA Methylation-Derived Immune Cell Profiles, CpG Markers of Inflammation, and Pancreatic Cancer Risk. Cancer Epidemiol Biomarkers Prev 2020; 29:1577-1585. [PMID: 32430337 DOI: 10.1158/1055-9965.epi-20-0378] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Revised: 04/09/2020] [Accepted: 05/13/2020] [Indexed: 02/04/2023] Open
Abstract
BACKGROUND Pancreatic cancer is projected to become the second most common cause of cancer-related death over the next 5 years. Because inflammation is thought to be a common trajectory for disease initiation, we sought to prospectively characterize immune profiles using DNA methylation markers and examine DNA methylation levels previously linked to inflammation biomarkers to evaluate whether these immune markers play a key role in pancreatic cancer. METHODS In a nested case-control study pooling three U.S. prospective cohort studies, DNA methylation was measured in prediagnostic leukocytes of incident pancreatic cancer cases and matched controls using the Illumina MethylationEPIC array. Differentially methylated regions were used to predict immune cell types, and CpGs previously associated with inflammatory biomarkers were selected for the analysis. DNA methylation data from a retrospective case-control study conducted in Spain (PanGenEU) was used for independent replication. RESULTS Immune cell proportions and ratio of cell proportions were not associated with pancreatic cancer risk in the nested case-control study. Methylation extent of CpGs residing in or near gene MNDA was significantly associated with pancreatic cancer risk in the nested case-control study and replicated in PanGenEU. Methylation level of a promoter CpG of gene PIM-1 was associated with survival in both studies. CONCLUSIONS Using a targeted approach, we identified several CpGs that may play a role in pancreatic carcinogenesis in two large, independent studies with distinct study designs. IMPACT These findings could provide insight into critical pathways that may help identify new markers of early disease and survival.
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Affiliation(s)
- Dominique S Michaud
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts.
- Department of Epidemiology, Brown University, Providence, Rhode Island
| | - Mengyuan Ruan
- Department of Public Health & Community Medicine, Tufts University School of Medicine, Tufts University, Boston, Massachusetts
| | - Devin C Koestler
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas
- University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas
| | - Lola Alonso
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Esther Molina-Montes
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Dong Pei
- Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, Kansas
- University of Kansas Cancer Center, University of Kansas Medical Center, Kansas City, Kansas
| | - Carmen J Marsit
- Department of Environmental Health and Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts
| | - Núria Malats
- Genetic and Molecular Epidemiology Group, Spanish National Cancer Research Centre (CNIO) and CIBERONC, Madrid, Spain
| | - Karl T Kelsey
- Department of Epidemiology, Brown University, Providence, Rhode Island
- Department of Pathology and Laboratory Medicine, Brown University, Providence, Rhode Island
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Borçoi AR, Mendes SO, Gasparini Dos Santos J, Mota de Oliveira M, Moreno IAA, Freitas FV, Pinheiro JA, Arpini JK, Cunha ER, Archanjo AB, Evangelista Monteiro de Assis AL, Sorroche BP, Rebolho Batista Arantes LM, Borloti E, Álvares-da-Silva AM. Risk factors for depression in adults: NR3C1 DNA methylation and lifestyle association. J Psychiatr Res 2020; 121:24-30. [PMID: 31731185 DOI: 10.1016/j.jpsychires.2019.10.011] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 10/09/2019] [Accepted: 10/10/2019] [Indexed: 12/18/2022]
Abstract
OBJECTIVE The aim of this study was to verify determinant factors for depression and analyze the relationship between possible changes in HPA axis and depression, in this case NR3C1 DNA methylation and serum cortisol levels. METHODS 349 adult volunteers were recruited to evaluate depression, socio-demographic, economic and lifestyle factors, serum cortisol levels and NR3C1 DNA methylation by pyrosequencing. Depression determinant factors were investigated using a Poisson regression model with robust variance (p < 0.05). RESULTS Poisson regression with robust variance adjusted by gender, tobacco use, self-perceived stress, leisure activity, suicidal ideation, low cortisol levels and NR3C1 DNA methylation was performed and predicted risk factors for depression. Furthermore, depressive volunteers showed a significant increase in NR3C1 DNA methylation when compared to healthy volunteers. CONCLUSIONS This findings provide a basis for understanding the role of HPA axis in depression, especially its regulation by NR3C1 DNA methylation. Furthermore, it emphasizes the stressful lifestyle risk factors (female, tobacco uso, self perceived stress, leisure activities absence and suicidal ideation) that can contribute to future research and the search for public health policies to improve quality of live, mental and general health.
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Affiliation(s)
- Aline Ribeiro Borçoi
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.
| | - Suzanny Oliveira Mendes
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Joaquim Gasparini Dos Santos
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Mayara Mota de Oliveira
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Ivana Alece Arantes Moreno
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Flávia Vitorino Freitas
- Departamento de Farmácia e Nutrição, Universidade Federal do Espírito Santo, Alegre, ES, Brazil
| | - Júlia Assis Pinheiro
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Juliana Krüger Arpini
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Ester Ribeiro Cunha
- Departmento de Biologia, Universidade Federal do Espírito Santo, Alegre, ES, Brazil
| | - Anderson Barros Archanjo
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | - Bruna Pereira Sorroche
- Centro de Pesquisas em Oncologia Molecular, Hospital do Cancer de Barretos, Barretos, São Paulo, SP, Brazil
| | | | - Elizeu Borloti
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Adriana Madeira Álvares-da-Silva
- Programa de Pós Graduação em Biotecnologia /Renorbio, Universidade Federal do Espírito Santo, Vitória, ES, Brazil; Departmento de Biologia, Universidade Federal do Espírito Santo, Alegre, ES, Brazil
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Pedroso JAB, Ramos-Lobo AM, Donato J. SOCS3 as a future target to treat metabolic disorders. Hormones (Athens) 2019; 18:127-136. [PMID: 30414080 DOI: 10.1007/s42000-018-0078-5] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 10/29/2018] [Indexed: 12/20/2022]
Abstract
The suppressors of cytokine signaling (SOCS) are a group of eight proteins responsible for preventing excessive cytokine signaling. Among this protein family, SOCS3 has received special attention. SOCS3 expression is important to control certain allergy autoimmune diseases. Furthermore, SOCS3 expression is elevated in obesity and it is involved in the inhibition of leptin and insulin signaling, two important hormones involved in the control of energy metabolism. Therefore, increased SOCS3 expression in obese individuals is associated with several metabolic disorders, including reduced energy expenditure, increased food intake and adiposity, and insulin and leptin resistance. In addition, recent studies found that SOCS3 expression regulates energy and glucose homeostasis in several metabolic conditions, such as pregnancy, caloric restriction, and refeeding. Importantly, attenuation of SOCS3 expression in most cases improves leptin and insulin sensitivity, leading to beneficial metabolic effects. This review aims to discuss the role of SOCS3 in the control of blood glucose levels as well as in energy homeostasis. The development of pharmacological compounds to inhibit SOCS3 activity and/or expression may represent a promising therapeutic approach to treat type 2 diabetes mellitus, obesity, and other metabolic imbalances.
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Affiliation(s)
- João A B Pedroso
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524, São Paulo, 05508-000, Brazil.
| | - Angela M Ramos-Lobo
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524, São Paulo, 05508-000, Brazil
| | - Jose Donato
- Department of Physiology and Biophysics, Institute of Biomedical Sciences, University of São Paulo, Av. Prof. Lineu Prestes, 1524, São Paulo, 05508-000, Brazil
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Ling C, Rönn T. Epigenetics in Human Obesity and Type 2 Diabetes. Cell Metab 2019; 29:1028-1044. [PMID: 30982733 PMCID: PMC6509280 DOI: 10.1016/j.cmet.2019.03.009] [Citation(s) in RCA: 452] [Impact Index Per Article: 90.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2019] [Revised: 03/05/2019] [Accepted: 03/18/2019] [Indexed: 12/16/2022]
Abstract
Epigenetic mechanisms control gene activity and the development of an organism. The epigenome includes DNA methylation, histone modifications, and RNA-mediated processes, and disruption of this balance may cause several pathologies and contribute to obesity and type 2 diabetes (T2D). This Review summarizes epigenetic signatures obtained from human tissues of relevance for metabolism-i.e., adipose tissue, skeletal muscle, pancreatic islets, liver, and blood-in relation to obesity and T2D. Although this research field is still young, these comprehensive data support not only a role for epigenetics in disease development, but also epigenetic alterations as a response to disease. Genetic predisposition, as well as aging, contribute to epigenetic variability, and several environmental factors, including exercise and diet, further interact with the human epigenome. The reversible nature of epigenetic modifications holds promise for future therapeutic strategies in obesity and T2D.
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Affiliation(s)
- Charlotte Ling
- Epigenetics and Diabetes Unit, Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden.
| | - Tina Rönn
- Epigenetics and Diabetes Unit, Department of Clinical Sciences Malmö, Lund University Diabetes Centre, Scania University Hospital, Malmö, Sweden
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Guo Q, Zheng R, Huang J, He M, Wang Y, Guo Z, Sun L, Chen P. Using Integrative Analysis of DNA Methylation and Gene Expression Data in Multiple Tissue Types to Prioritize Candidate Genes for Drug Development in Obesity. Front Genet 2018; 9:663. [PMID: 30619480 PMCID: PMC6305755 DOI: 10.3389/fgene.2018.00663] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2018] [Accepted: 12/04/2018] [Indexed: 12/25/2022] Open
Abstract
Obesity has become a major public health issue which is caused by a combination of genetic and environmental factors. Genome-wide DNA methylation studies have identified that DNA methylation at Cytosine-phosphate-Guanine (CpG) sites are associated with obesity. However, subsequent functional validation of the results from these studies has been challenging given the high number of reported associations. In this study, we applied an integrative analysis approach, aiming to prioritize the drug development candidate genes from many associated CpGs. Association data was collected from previous genome-wide DNA methylation studies and combined using a sample-size-weighted strategy. Gene expression data in adipose tissues and enriched pathways of the affiliated genes were overlapped, to shortlist the associated CpGs. The CpGs with the most overlapping evidence were indicated as the most appropriate CpGs for future studies. Our results revealed that 119 CpGs were associated with obesity (p ≤ 1.03 × 10−7). Of the affiliated genes, SOCS3 was the only gene involved in all enriched pathways and was differentially expressed in both visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT). In conclusion, our integrative analysis is an effective approach in highlighting the DNA methylation with the highest drug development relevance. SOCS3 may serve as a target for drug development of obesity and its complications.
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Affiliation(s)
- Qingjie Guo
- Department of Genetics, College of Basic Medical Sciences, Jilin University, Changchun, China.,Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, China
| | - Ruonan Zheng
- College of Clinical Medicine, Jilin University, Changchun, China
| | - Jiarui Huang
- College of Clinical Medicine, Jilin University, Changchun, China
| | - Meng He
- College of Clinical Medicine, Jilin University, Changchun, China
| | - Yuhan Wang
- College of Clinical Medicine, Jilin University, Changchun, China
| | - Zonghao Guo
- College of Clinical Medicine, Jilin University, Changchun, China
| | - Liankun Sun
- Department of Pathophysiology, College of Basic Medical Sciences, Jilin University, Changchun, China
| | - Peng Chen
- Department of Genetics, College of Basic Medical Sciences, Jilin University, Changchun, China.,Key Laboratory of Pathobiology, Ministry of Education, Jilin University, Changchun, China
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Zhang X, Hu Y, Justice AC, Li B, Wang Z, Zhao H, Krystal JH, Xu K. DNA methylation signatures of illicit drug injection and hepatitis C are associated with HIV frailty. Nat Commun 2017; 8:2243. [PMID: 29269866 PMCID: PMC5740109 DOI: 10.1038/s41467-017-02326-1] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 11/20/2017] [Indexed: 01/13/2023] Open
Abstract
Intravenous illicit drug use (IDU) and hepatitis C infection (HCV) commonly co-occur among HIV-infected individuals. These co-occurring conditions may produce interacting epigenetic effects in white blood cells that influence immune function and health outcomes. Here, we report an epigenome-wide association analysis comparing IDU+/ HCV+ and IDU-/HCV- in 386 HIV-infected individuals as a discovery sample and in 412 individuals as a replication sample. We observe 6 significant CpGs in the promoters of 4 genes, NLRC5, TRIM69, CX3CR1, and BCL9, in the discovery sample and in meta-analysis. We identify 19 differentially methylated regions on chromosome 6 harboring MHC gene clusters. Importantly, a panel of IDU+/HCV+-associated CpGs discriminated HIV frailty based upon a validated index with an area under the curve of 79.3% for high frailty and 82.3% for low frailty. These findings suggest that IDU and HCV involve epigenetic programming and that their associated methylation signatures discriminate HIV pathophysiologic frailty.
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Affiliation(s)
- Xinyu Zhang
- Department of Psychiatry, Yale School of Medicine, 300 George Street, New Haven, CT, 06511, USA
- VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Ying Hu
- National Cancer Institute Center for Biomedical Information & Information Technology, 9609 Medical Center Drive, Bethesda, MD, 20850, USA
| | - Amy C Justice
- VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA
- Yale University School of Medicine, New Haven Veterans Affairs Connecticut Healthcare System, New Haven, CT, 06516, USA
| | - Boyang Li
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, 06511, USA
| | - Zuoheng Wang
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, 06511, USA
| | - Hongyu Zhao
- Department of Biostatistics, Yale School of Public Health, New Haven, CT, 06511, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, 300 George Street, New Haven, CT, 06511, USA
- VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA
| | - Ke Xu
- Department of Psychiatry, Yale School of Medicine, 300 George Street, New Haven, CT, 06511, USA.
- VA Connecticut Healthcare System, 950 Campbell Avenue, West Haven, CT, 06516, USA.
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35
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Affiliation(s)
- Mustafa al'Absi
- University of Minnesota Medical School, Duluth, MN, 55812-2487, USA.
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