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Frndak S, Deng Z, Ward-Caviness CK, Gorski-Steiner I, Thorpe RJ, Dickerson AS. Risk of dementia due to Co-exposure to air pollution and neighborhood disadvantage. Environ Res 2024; 251:118709. [PMID: 38493859 DOI: 10.1016/j.envres.2024.118709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 03/06/2024] [Accepted: 03/11/2024] [Indexed: 03/19/2024]
Abstract
BACKGROUND Co-exposure to air pollution and neighborhood disadvantage may influence cognition decline. We tested these associations in the context of dementia risk. METHODS We leveraged a cohort of adults ≥65 years (n = 5397) enrolled from 2011 to 2018 in the National Health and Aging Trends Study (NHATS). Particulate matter (PM) ≤ 10 μm in diameter, PM ≤ 2.5 μm in diameter, carbon monoxide, nitric oxide, and nitrogen dioxide - and neighborhood disadvantage were tested for joint associations with dementia risk. Pollutant concentrations at the 2010 census tract level were assigned using the US Environmental Protection Agency's Community Multiscale Air Quality Modeling System. Neighborhood disadvantage was defined using the tract Social Deprivation Index (SDI). Dementia was determined through self- or proxy-report or scores indicative of "probable dementia" according to NHATS screening tools. Joint effects of air pollutants and SDI were tested using quantile g-computation Cox proportional hazards models. We also stratified joint air pollution effects across SDI tertiles. Analyses adjusted for age at enrollment, sex, education, partner status, urbanicity, income, race and ethnicity, years at residence, census segregation, and census region. RESULTS SDI score (aHR = 1.08; 95% CI 0.96, 1.22), joint air pollution (aHR = 1.03, 95% CI 0.92, 1.16) and joint SDI with air pollution (aHR = 1.04, 95% CI 0.89, 1.22) were not associated with dementia risk. After accounting for competing risk of death, joint SDI with air pollution was not associated with dementia risk (aHR = 1.06; 95% CI 0.87, 1.29). In stratified models, joint air pollution was associated with greater risk of dementia at high (aHR = 1.19; 95% CI 0.87, 1.63), but not at medium or low SDI. CONCLUSION Air pollution was associated with greater dementia risk in disadvantaged areas after accounting for competing risks. Air pollution associations with dementia incidence may be attenuated when other risk factors are more prominent in disadvantaged neighborhoods.
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Affiliation(s)
- Seth Frndak
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA.
| | - Zhengyi Deng
- Department of Urology, Stanford School of Medicine, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, USA
| | - Irena Gorski-Steiner
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, USA
| | - Roland J Thorpe
- Department of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, USA; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, USA; Johns Hopkins Alzheimer's Disease Resource Center for Minority Aging Research, USA
| | - Aisha S Dickerson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, USA; Hopkins Center for Health Disparities Solutions, Johns Hopkins Bloomberg School of Public Health, USA
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Maushagen J, Addin NS, Schuppert C, Ward-Caviness CK, Nattenmüller J, Adamski J, Peters A, Bamberg F, Schlett CL, Wang-Sattler R, Rospleszcz S. Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort. Biomark Res 2024; 12:31. [PMID: 38444025 PMCID: PMC10916302 DOI: 10.1186/s40364-024-00578-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 02/24/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Changes in serum metabolites in individuals with altered cardiac function and morphology may exhibit information about cardiovascular disease (CVD) pathway dysregulations and potential CVD risk factors. We aimed to explore associations of cardiac function and morphology, evaluated using magnetic resonance imaging (MRI) with a large panel of serum metabolites. METHODS Cross-sectional data from CVD-free individuals from the population-based KORA cohort were analyzed. Associations between 3T-MRI-derived left ventricular (LV) function and morphology parameters (e.g., volumes, filling rates, wall thickness) and markers of carotid plaque with metabolite profile clusters and single metabolites as outcomes were assessed by adjusted multinomial logistic regression and linear regression models. RESULTS In 360 individuals (mean age 56.3 years; 41.9% female), 146 serum metabolites clustered into three distinct profiles that reflected high-, intermediate- and low-CVD risk. Higher stroke volume (relative risk ratio (RRR): 0.53, 95%-CI [0.37; 0.76], p-value < 0.001) and early diastolic filling rate (RRR: 0.51, 95%-CI [0.37; 0.71], p-value < 0.001) were most strongly protectively associated against the high-risk profile compared to the low-risk profile after adjusting for traditional CVD risk factors. Moreover, imaging markers were associated with 10 metabolites in linear regression. Notably, negative associations of stroke volume and early diastolic filling rate with acylcarnitine C5, and positive association of function parameters with lysophosphatidylcholines, diacylphosphatidylcholines, and acylalkylphosphatidylcholines were observed. Furthermore, there was a negative association of LV wall thickness with alanine, creatinine, and symmetric dimethylarginine. We found no significant associations with carotid plaque. CONCLUSIONS Serum metabolite signatures are associated with cardiac function and morphology even in individuals without a clinical indication of CVD.
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Affiliation(s)
- Juliane Maushagen
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Nuha Shugaa Addin
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Christopher Schuppert
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, U.S. EPA, Chapel Hill, NC, USA
| | - Johanna Nattenmüller
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, 117597, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- German Center for Diabetes Research, DZD, Neuherberg, Germany
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Rui Wang-Sattler
- German Center for Diabetes Research, DZD, Neuherberg, Germany
- Institute of Translational Genomics, Helmholtz Munich, Neuherberg, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany.
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany.
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Raab H, Moyer J, Afrin S, Garcia-Menendez F, Ward-Caviness CK. Prescribed fires, smoke exposure, and hospital utilization among heart failure patients. Environ Health 2023; 22:86. [PMID: 38087300 PMCID: PMC10717133 DOI: 10.1186/s12940-023-01032-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 11/08/2023] [Indexed: 12/18/2023]
Abstract
BACKGROUND Prescribed fires often have ecological benefits, but their environmental health risks have been infrequently studied. We investigated associations between residing near a prescribed fire, wildfire smoke exposure, and heart failure (HF) patients' hospital utilization. METHODS We used electronic health records from January 2014 to December 2016 in a North Carolina hospital-based cohort to determine HF diagnoses, primary residence, and hospital utilization. Using a cross-sectional study design, we associated the prescribed fire occurrences within 1, 2, and 5 km of the patients' primary residence with the number of hospital visits and 7- and 30-day readmissions. To compare prescribed fire associations with those observed for wildfire smoke, we also associated zip code-level smoke density data designed to capture wildfire smoke emissions with hospital utilization amongst HF patients. Quasi-Poisson regression models were used for the number of hospital visits, while zero-inflated Poisson regression models were used for readmissions. All models were adjusted for age, sex, race, and neighborhood socioeconomic status and included an offset for follow-up time. The results are the percent change and the 95% confidence interval (CI). RESULTS Associations between prescribed fire occurrences and hospital visits were generally null, with the few associations observed being with prescribed fires within 5 and 2 km of the primary residence in the negative direction but not the more restrictive 1 km radius. However, exposure to medium or heavy smoke (primarily from wildfires) at the zip code level was associated with both 7-day (8.5% increase; 95% CI = 1.5%, 16.0%) and 30-day readmissions (5.4%; 95% CI = 2.3%, 8.5%), and to a lesser degree, hospital visits (1.5%; 95% CI: 0.0%, 3.0%) matching previous studies. CONCLUSIONS Area-level smoke exposure driven by wildfires is positively associated with hospital utilization but not proximity to prescribed fires.
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Affiliation(s)
- Henry Raab
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Human Studies Building, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Human Studies Building, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA
| | - Sadia Afrin
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, 27606, USA
- Present address: MIT Laboratory for Aviation and the Environment, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA
| | - Fernando Garcia-Menendez
- Department of Civil, Construction, and Environmental Engineering, North Carolina State University, Raleigh, NC, 27606, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Human Studies Building, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA.
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Tulve NS, Guiseppi-Elie A, Geller AM, Ward-Caviness CK, Paul SJ, Lavoie ET, Rivers L, Frey HC. Redefining exposure science to advance research supporting cumulative impacts, environmental justice, and decision-making. J Expo Sci Environ Epidemiol 2023; 33:843-845. [PMID: 37945924 PMCID: PMC10733134 DOI: 10.1038/s41370-023-00610-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Revised: 09/26/2023] [Accepted: 10/10/2023] [Indexed: 11/12/2023]
Affiliation(s)
- Nicolle S Tulve
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA.
| | - Annette Guiseppi-Elie
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA
| | - Andrew M Geller
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA
| | - Cavin K Ward-Caviness
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA
| | - Sean J Paul
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC, USA
| | - Emma T Lavoie
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC, USA
| | - Louie Rivers
- U.S. Environmental Protection Agency, Office of Research and Development, Research Triangle Park, NC, USA
| | - H Christopher Frey
- U.S. Environmental Protection Agency, Office of Research and Development, Washington, DC, USA
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Ward-Caviness CK, Cascio WE. A Narrative Review on the Impact of Air Pollution on Heart Failure Risk and Exacerbation. Can J Cardiol 2023; 39:1244-1252. [PMID: 37406802 DOI: 10.1016/j.cjca.2023.06.423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/05/2023] [Accepted: 06/21/2023] [Indexed: 07/07/2023] Open
Abstract
Air pollution is a risk factor for many cardiovascular diseases, including heart failure (HF). Although the links between air pollution and HF have been explored, the results are scattered and difficult to piece together into a cohesive story. Therefore, we undertook a narrative review of all aspects of the relationship between HF and air pollution exposure, including risks of developing HF when exposed to air pollution, the exacerbation of HF symptoms by air pollution exposure, and the increased susceptibility that individuals with HF have for air pollution-related health risks. We also examined the literature on environmental justice as well as air pollution interventions for HF. We found substantial evidence linking air pollution exposure to HF incidence. There were a limited number of studies that examined air pollution exposure in clearly defined populations with HF to explore exacerbation of HF or the susceptibility of individuals with HF to air pollution health risks. However, there is substantial evidence that HF-related hospitalisations are increased under air pollution exposure and that the air pollution associated increase in HF-related hospitalisations is greater than hospitalisations for other chronic diseases, supporting links between air pollution and both exacerbation of HF and susceptibility of individuals with HF. There is emerging evidence for interventions that can decrease air pollution health risks for individuals with HF, and more studies are needed, particularly randomised controlled trials. Thus, although the air pollution-related health risks for HF incidence and hospitalisations are clear, further studies specifically targeted at identified data gaps will greatly improve our knowledge of the susceptibility of individuals with HF and interventions to reduce risks.
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Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, USA.
| | - Wayne E Cascio
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, USA
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Ni W, Nikolaou N, Ward-Caviness CK, Breitner S, Wolf K, Zhang S, Wilson R, Waldenberger M, Peters A, Schneider A. Associations between medium- and long-term exposure to air temperature and epigenetic age acceleration. Environ Int 2023; 178:108109. [PMID: 37517177 PMCID: PMC10656697 DOI: 10.1016/j.envint.2023.108109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/12/2023] [Accepted: 07/20/2023] [Indexed: 08/01/2023]
Abstract
Climate change poses a serious threat to human health worldwide, while aging populations increase. However, no study has ever investigated the effects of air temperature on epigenetic age acceleration. This study involved 1,725 and 1,877 participants from the population-based KORA F4 (2006-2008) and follow-up FF4 (2013-2014) studies, respectively, conducted in Augsburg, Germany. The difference between epigenetic age and chronological age was referred to as epigenetic age acceleration and reflected by Horvath's epigenetic age acceleration (HorvathAA), Hannum's epigenetic age acceleration (HannumAA), PhenoAge acceleration (PhenoAA), GrimAge acceleration (GrimAA), and Epigenetic Skin and Blood Age acceleration (SkinBloodAA). Daily air temperature was estimated using hybrid spatiotemporal regression-based models. To explore the medium- and long-term effects of air temperature modeled in time and space on epigenetic age acceleration, we applied generalized estimating equations (GEE) with distributed lag non-linear models, and GEE, respectively. We found that high temperature exposure based on the 8-week moving average air temperature (97.5th percentile of temperature compared to median temperature) was associated with increased HorvathAA, HannumAA, GrimAA, and SkinBloodAA: 1.83 (95% CI: 0.29-3.37), 11.71 (95% CI: 8.91-14.50), 2.26 (95% CI: 1.03-3.50), and 5.02 (95% CI: 3.42-6.63) years, respectively. Additionally, we found consistent results with high temperature exposure based on the 4-week moving average air temperature was associated with increased HannumAA, GrimAA, and SkinBloodAA: 9.18 (95% CI: 6.60-11.76), 1.78 (95% CI: 0.66-2.90), and 4.07 (95% CI: 2.56-5.57) years, respectively. For the spatial variation in annual average temperature, a 1 °C increase was associated with an increase in all five measures of epigenetic age acceleration (HorvathAA: 0.41 [95% CI: 0.24-0.57], HannumAA: 2.24 [95% CI: 1.95-2.53], PhenoAA: 0.32 [95% CI: 0.05-0.60], GrimAA: 0.24 [95%: 0.11-0.37], and SkinBloodAA: 1.17 [95% CI: 1.00-1.35] years). In conclusion, our results provide first evidence that medium- and long-term exposures to high air temperature affect increases in epigenetic age acceleration.
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Affiliation(s)
- Wenli Ni
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany.
| | - Nikolaos Nikolaou
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Susanne Breitner
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Siqi Zhang
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Rory Wilson
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany; German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, Neuherberg, Germany
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Walsh A, Russell AG, Weaver AM, Moyer J, Wyatt L, Ward-Caviness CK. Associations between source-apportioned PM 2.5 and 30-day readmissions in heart failure patients. Environ Res 2023; 228:115839. [PMID: 37024035 DOI: 10.1016/j.envres.2023.115839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/28/2023] [Accepted: 04/03/2023] [Indexed: 05/16/2023]
Abstract
BACKGROUND Air pollution exposure is a significant risk factor for morbidity and mortality, especially for those with pre-existing chronic disease. Previous studies highlighted the risks that long-term particulate matter exposure has for readmissions. However, few studies have evaluated source and component specific associations particularly among vulnerable patient populations. OBJECTIVES Use electronic health records from 5556 heart failure (HF) patients diagnosed between July 5, 2004 and December 31, 2010 that were part of the EPA CARES resource in conjunction with modeled source-specific fine particulate matter (PM2.5) to estimate the association between exposure to source and component apportioned PM2.5 at the time of HF diagnosis and 30-day readmissions. METHODS We used zero-inflated mixed effects Poisson models with a random intercept for zip code to model associations while adjusting for age at diagnosis, year of diagnosis, race, sex, smoking status, and neighborhood socioeconomic status. We undertook several sensitivity analyses to explore the impact of geocoding precision and other factors on associations and expressed associations per interquartile range increase in exposures. RESULTS We observed associations between 30-day readmissions and an interquartile range increase in gasoline- (16.9% increase; 95% confidence interval = 4.8%, 30.4%) and diesel-derived PM2.5 (9.9% increase; 95% confidence interval = 1.7%, 18.7%), and the secondary organic carbon component of PM2.5 (SOC; 20.4% increase; 95% confidence interval = 8.3%, 33.9%). Associations were stable in sensitivity analyses, and most consistently observed among Black study participants, those in lower income areas, and those diagnosed with HF at an earlier age. Concentration-response curves indicated a linear association for diesel and SOC. While there was some non-linearity in the gasoline concentration-response curve, only the linear component was associated with 30-day readmissions. DISCUSSION There appear to be source specific associations between PM2.5 and 30-day readmissions particularly for traffic-related sources, potentially indicating unique toxicity of some sources for readmission risks that should be further explored.
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Affiliation(s)
- Aleah Walsh
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA; Oak Ridge Associated Universities, Oak Ridge, TN, USA
| | - Armistead G Russell
- School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA
| | - Anne M Weaver
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Lauren Wyatt
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA.
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8
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Lodge EK, Martin CL, Fry RC, White AJ, Ward-Caviness CK, Galea S, Aiello AE. Objectively measured external building quality, Census housing vacancies and age, and serum metals in an adult cohort in Detroit, Michigan. J Expo Sci Environ Epidemiol 2023; 33:177-186. [PMID: 35577901 PMCID: PMC9666563 DOI: 10.1038/s41370-022-00447-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 04/25/2022] [Accepted: 04/27/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Residentially derived lead pollution remains a significant problem in urban areas across the country and globe. The risks of childhood residence in housing contaminated with lead-based paint are well-established, but less is known about the effects of housing quality on adult lead exposure. OBJECTIVE To evaluate the effects of residential-area housing age, vacancy status, and building quality on adult lead exposures. METHODS We evaluated the effect of Census block group housing vacancy proportion, block group housing age, and in-person survey evaluated neighborhood building quality on serum levels of lead, mercury, manganese, and copper among a representative cohort of adults in Detroit, Michigan, from 2008-2013 using generalized estimating equations. RESULTS Participants in Census block groups with higher proportions of vacant and aged housing had non-significantly elevated serum lead levels. We identified similar positive associations between residence in neighborhoods with poorer objectively measured building quality and serum lead. Associations between Census vacancies, housing age, objectively measured building quality, and serum lead were stronger among participants with a more stable residential history. SIGNIFICANCE Vacant, aged, and poorly maintained housing may contribute to widespread, low-level lead exposure among adult residents of older cities like Detroit, Michigan. US Census and neighborhood quality data may be a useful tool to identify population-level lead exposures among US adults. IMPACT Using longitudinal data from a representative cohort of adults in Detroit, Michigan, we demonstrate that Census data regarding housing vacancies and age and neighborhood survey data regarding housing quality are associated with increasing serum lead levels. Previous research has primarily focused on housing quality and lead exposures among children. Here, we demonstrate that area-level metrics of housing quality are associated with lead exposures among adults.
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Affiliation(s)
- Evans K Lodge
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
| | - Chantel L Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Center for Environmental Health & Susceptibility, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C Fry
- Center for Environmental Health & Susceptibility, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Sandro Galea
- School of Public Health, Boston University, Boston, MA, USA
| | - Allison E Aiello
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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9
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Catalano S, Moyer J, Weaver A, Di Q, Schwartz JD, Catalano M, Ward-Caviness CK. Associations between long-term fine particulate matter exposure and hospital procedures in heart failure patients. PLoS One 2023; 18:e0283759. [PMID: 37134088 PMCID: PMC10155991 DOI: 10.1371/journal.pone.0283759] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 03/16/2023] [Indexed: 05/04/2023] Open
Abstract
BACKGROUND Ambient fine particulate matter (PM2.5) contributes to global morbidity and mortality. One way to understand the health effects of PM2.5 is by examining its impact on performed hospital procedures, particularly among those with existing chronic disease. However, such studies are rare. Here, we investigated the associations between annual average PM2.5 and hospital procedures among individuals with heart failure. METHODS Using electronic health records from the University of North Carolina Healthcare System, we created a retrospective cohort of 15,979 heart failure patients who had at least one of 53 common (frequency > 10%) procedures. We used daily modeled PM2.5 at 1x1 km resolution to estimate the annual average PM2.5 at the time of heart failure diagnosis. We used quasi-Poisson models to estimate associations between PM2.5 and the number of performed hospital procedures over the follow-up period (12/31/2016 or date of death) while adjusting for age at heart failure diagnosis, race, sex, year of visit, and socioeconomic status. RESULTS A 1 μg/m3 increase in annual average PM2.5 was associated with increased glycosylated hemoglobin tests (10.8%; 95% confidence interval = 6.56%, 15.1%), prothrombin time tests (15.8%; 95% confidence interval = 9.07%, 22.9%), and stress tests (6.84%; 95% confidence interval = 3.65%, 10.1%). Results were stable under multiple sensitivity analyses. CONCLUSIONS These results suggest that long-term PM2.5 exposure is associated with an increased need for diagnostic testing on heart failure patients. Overall, these associations give a unique lens into patient morbidity and potential drivers of healthcare costs linked to PM2.5 exposure.
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Affiliation(s)
- Samantha Catalano
- Department of Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, United States of America
| | - Anne Weaver
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, United States of America
| | - Qian Di
- Research Center for Public Health, School of Medicine, Tsinghua University, Beijing, China
| | - Joel D Schwartz
- Harvard TH Chan School of Public Health, Boston, Massachusetts, United States of America
| | - Michael Catalano
- Division of Cardiovascular Surgery, Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, United States of America
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10
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Ni W, Wolf K, Breitner S, Zhang S, Nikolaou N, Ward-Caviness CK, Waldenberger M, Gieger C, Peters A, Schneider A. Higher Daily Air Temperature Is Associated with Shorter Leukocyte Telomere Length: KORA F3 and KORA F4. Environ Sci Technol 2022; 56:17815-17824. [PMID: 36442845 PMCID: PMC9775210 DOI: 10.1021/acs.est.2c04486] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 11/01/2022] [Accepted: 11/02/2022] [Indexed: 06/16/2023]
Abstract
Higher air temperature is associated with increased age-related morbidity and mortality. To date, short-term effects of air temperature on leukocyte telomere length have not been investigated in an adult population. We aimed to examine the short-term associations between air temperature and leukocyte telomere length in an adult population-based setting, including two independent cohorts. This population-based study involved 5864 participants from the KORA F3 (2004-2005) and F4 (2006-2008) cohort studies conducted in Augsburg, Germany. Leukocyte telomere length was assessed by a quantitative PCR-based method. We estimated air temperature at each participant's residential address through a highly resolved spatiotemporal model. We conducted cohort-specific generalized additive models to explore the short-term effects of air temperature on leukocyte telomere length at lags 0-1, 2-6, 0-6, and 0-13 days separately and pooled the estimates by fixed-effects meta-analysis. Our study found that between individuals, an interquartile range (IQR) increase in daily air temperature was associated with shorter leukocyte telomere length at lags 0-1, 2-6, 0-6, and 0-13 days (%change: -2.96 [-4.46; -1.43], -2.79 [-4.49; -1.07], -4.18 [-6.08; -2.25], and -6.69 [-9.04; -4.27], respectively). This meta-analysis of two cohort studies showed that between individuals, higher daily air temperature was associated with shorter leukocyte telomere length.
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Affiliation(s)
- Wenli Ni
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, 81377 Munich, Germany
| | - Kathrin Wolf
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
| | - Susanne Breitner
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, 81377 Munich, Germany
| | - Siqi Zhang
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
| | - Nikolaos Nikolaou
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, 81377 Munich, Germany
| | - Cavin K. Ward-Caviness
- Center
for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina 27599, United States
| | - Melanie Waldenberger
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Research
Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Munich D-85764, Germany
- Partner
Site Munich Heart Alliance, DZHK (German
Centre for Cardiovascular Research), 80802 Munich, Germany
| | - Christian Gieger
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Research
Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Munich D-85764, Germany
| | - Annette Peters
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
- Institute
for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, 81377 Munich, Germany
- Partner
Site Munich Heart Alliance, DZHK (German
Centre for Cardiovascular Research), 80802 Munich, Germany
- German
Center
for Diabetes Research (DZD), München-Neuherberg, D-85764 Munich, Germany
| | - Alexandra Schneider
- Institute
of Epidemiology, Helmholtz Zentrum München—German
Research Center for Environmental Health (GmbH), Ingolstädter Landstraße
1, Neuherberg, Munich D-85764, Germany
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11
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Jiang R, Hauser ER, Kwee LC, Shah SH, Regan JA, Huebner JL, Kraus VB, Kraus WE, Ward-Caviness CK. The association of accelerated epigenetic age with all-cause mortality in cardiac catheterization patients as mediated by vascular and cardiometabolic outcomes. Clin Epigenetics 2022; 14:165. [PMID: 36461124 PMCID: PMC9719253 DOI: 10.1186/s13148-022-01380-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Accepted: 11/16/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND Epigenetic age is a DNA methylation-based biomarker of aging that is accurate across the lifespan and a range of cell types. The difference between epigenetic age and chronological age, termed age acceleration (AA), is a strong predictor of lifespan and healthspan. The predictive capabilities of AA for all-cause mortality have been evaluated in the general population; however, its utility is less well evaluated in those with chronic conditions. Additionally, the pathophysiologic pathways whereby AA predicts mortality are unclear. We hypothesized that AA predicts mortality in individuals with underlying cardiovascular disease; and the association between AA and mortality is mediated, in part, by vascular and cardiometabolic measures. METHODS We evaluated 562 participants in an urban, three-county area of central North Carolina from the CATHGEN cohort, all of whom received a cardiac catheterization procedure. We analyzed three AA biomarkers, Horvath epigenetic age acceleration (HAA), phenotypic age acceleration (PhenoAA), and Grim age acceleration (GrimAA), by Cox regression models, to assess whether AAs were associated with all-cause mortality. We also evaluated if these associations were mediated by vascular and cardiometabolic outcomes, including left ventricular ejection fraction (LVEF), blood cholesterol concentrations, angiopoietin-2 (ANG2) protein concentration, peripheral artery disease, coronary artery disease, diabetes, and hypertension. The total effect, direct effect, indirect effect, and percentage mediated were estimated using pathway mediation tests with a regression adjustment approach. RESULTS PhenoAA (HR = 1.05, P < 0.0001), GrimAA (HR = 1.10, P < 0.0001) and HAA (HR = 1.03, P = 0.01) were all associated with all-cause mortality. The association of mortality and PhenoAA was partially mediated by ANG2, a marker of vascular function (19.8%, P = 0.016), and by diabetes (8.2%, P = 0.043). The GrimAA-mortality association was mediated by ANG2 (12.3%, P = 0.014), and showed weaker evidence for mediation by LVEF (5.3%, P = 0.065). CONCLUSIONS Epigenetic age acceleration remains strongly predictive of mortality even in individuals already burdened with cardiovascular disease. Mortality associations were mediated by ANG2, which regulates endothelial permeability and angiogenic functions, suggesting that specific vascular pathophysiology may link accelerated epigenetic aging with increased mortality risks.
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Affiliation(s)
- Rong Jiang
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC USA
| | - Elizabeth R. Hauser
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC USA
| | - Lydia Coulter Kwee
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA
| | - Svati H. Shah
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Division of Cardiology, Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC USA
| | - Jessica A. Regan
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Division of Cardiology, Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC USA
| | - Janet L. Huebner
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA
| | - Virginia B. Kraus
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Division of Rheumatology, Department of Medicine, Duke University School of Medicine, Durham, NC USA
| | - William E. Kraus
- grid.26009.3d0000 0004 1936 7961Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Division of Cardiology, Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC USA
| | - Cavin K. Ward-Caviness
- grid.418698.a0000 0001 2146 2763Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC USA
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12
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Henriquez AR, Snow SJ, Jackson TW, House JS, Motsinger-Reif AA, Ward-Caviness CK, Schladweiler MC, Alewel DI, Miller CN, Farraj AK, Hazari MS, Grindstaff R, Diaz-Sanchez D, Ghio AJ, Kodavanti UP. Stress Drivers of Glucose Dynamics during Ozone Exposure Measured Using Radiotelemetry in Rats. Environ Health Perspect 2022; 130:127006. [PMID: 36542476 PMCID: PMC9770052 DOI: 10.1289/ehp11088] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
BACKGROUND Inhaled irritant air pollutants may trigger stress-related metabolic dysfunction associated with altered circulating adrenal-derived hormones. OBJECTIVES We used implantable telemetry in rats to assess real-time changes in circulating glucose during and after exposure to ozone and mechanistically linked responses to neuroendocrine stress hormones. METHODS First, using a cross-over design, we monitored glucose during ozone exposures (0.0, 0.2, 0.4, and 0.8 ppm) and nonexposure periods in male Wistar Kyoto rats implanted with glucose telemeters. A second cohort of unimplanted rats was exposed to ozone (0.0, 0.4 or 0.8 ppm) for 30 min, 1 h, 2 h, or 4 h with hormones measured immediately post exposure. We assessed glucose metabolism in sham and adrenalectomized rats, with or without supplementation of adrenergic/glucocorticoid receptor agonists, and in a separate cohort, antagonists. RESULTS Ozone (0.8 ppm) was associated with significantly higher blood glucose and lower core body temperature beginning 90 min into exposure, with reversal of effects 4-6 h post exposure. Glucose monitoring during four daily 4-h ozone exposures revealed duration of glucose increases, adaptation, and diurnal variations. Ozone-induced glucose changes were preceded by higher levels of adrenocorticotropic hormone, corticosterone, and epinephrine but lower levels of thyroid-stimulating hormone, prolactin, and luteinizing hormones. Higher glucose and glucose intolerance were inhibited in rats that were adrenalectomized or treated with adrenergic plus glucocorticoid receptor antagonists but exacerbated by agonists. DISCUSSION We demonstrated the temporality of neuroendocrine-stress-mediated biological sequalae responsible for ozone-induced glucose metabolic dysfunction and mechanism in a rodent model. Stress hormones assessment with real-time glucose monitoring may be useful in identifying interactions among irritant pollutants and stress-related illnesses. https://doi.org/10.1289/EHP11088.
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Affiliation(s)
- Andres R. Henriquez
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency (U.S. EPA), Research Triangle Park, North Carolina, USA
| | - Samantha J. Snow
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Thomas W. Jackson
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency (U.S. EPA), Research Triangle Park, North Carolina, USA
| | - John S. House
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Alison A. Motsinger-Reif
- Division of Intramural Research, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, North Carolina, USA
| | - Cavin K. Ward-Caviness
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Mette C. Schladweiler
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Devin I. Alewel
- Oak Ridge Institute for Science and Education Research Participation Program, U.S. Environmental Protection Agency (U.S. EPA), Research Triangle Park, North Carolina, USA
| | - Colette N. Miller
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Aimen K. Farraj
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Mehdi S. Hazari
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Rachel Grindstaff
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - David Diaz-Sanchez
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Andrew J. Ghio
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
| | - Urmila P. Kodavanti
- Center for Public Health and Environmental Assessment, U.S. EPA, Research Triangle Park, North Carolina, USA
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13
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Lodge EK, Guseh NS, Martin CL, Fry RC, White AJ, Ward-Caviness CK, Galea S, Aiello AE. The effect of residential proximity to brownfields, highways, and heavy traffic on serum metal levels in the Detroit Neighborhood Health Study. Environ Adv 2022; 9:100278. [PMID: 36034484 PMCID: PMC9401556 DOI: 10.1016/j.envadv.2022.100278] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Research in environmental sciences has demonstrated that land in close proximity to brownfields and heavily trafficked highways is contaminated with toxic metals. Despite this, little is known about the influence of brownfields and highways on metal levels in residents living nearby. We used data from 774 participants in the Detroit Neighborhood Health Study to estimate the effect of residential proximity to brownfields, highways, and present-day traffic on serum levels of lead, mercury, manganese, and copper using generalized estimating equations. We found that a 1 standard deviation increase in residential brownfield density within 200m was associated with increased serum lead levels (β: 0.04, 95% CI: -0.01, 0.09). The same modeled increase in a subset of historic industrial-use brownfields was associated with elevated serum mercury (β: 0.06, 95% CI: 0.03, 0.09). Increased highway and traffic density was positively associated with serum manganese (β: 0.02, 95% CI: 0.01, 0.04). Highway and traffic density was also positively associated with serum lead (β: 0.02, 95% CI: 0.01, 0.03) after restricting the analysis to participants who did not move during the study follow-up period. These findings draw attention to the importance of remediating polluted post-industrial sites in heavily populated areas, particularly as residents continue to move into densely populated cities around the globe.
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Affiliation(s)
- Evans K. Lodge
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Nahnsan S. Guseh
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Chantel L. Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Center for Environmental Health & Susceptibility, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Alexandra J. White
- Epidemiology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC, USA
| | - Cavin K. Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Sandro Galea
- School of Public Health, Boston University, Boston, MA, USA
| | - Allison E. Aiello
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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14
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Lodge EK, Dhingra R, Martin CL, Fry RC, White AJ, Ward-Caviness CK, Wani AH, Uddin M, Wildman DE, Galea S, Aiello AE. Serum lead, mercury, manganese, and copper and DNA methylation age among adults in Detroit, Michigan. Environ Epigenet 2022; 8:dvac018. [PMID: 36330039 PMCID: PMC9620967 DOI: 10.1093/eep/dvac018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 09/03/2022] [Accepted: 09/19/2022] [Indexed: 06/16/2023]
Abstract
Although the effects of lead, mercury, manganese, and copper on individual disease processes are well understood, estimating the health effects of long-term exposure to these metals at the low concentrations often observed in the general population is difficult. In addition, the health effects of joint exposure to multiple metals are difficult to estimate. Biological aging refers to the integrative progression of multiple physiologic and molecular changes that make individuals more at risk of disease. Biomarkers of biological aging may be useful to estimate the population-level effects of metal exposure prior to the development of disease in the population. We used data from 290 participants in the Detroit Neighborhood Health Study to estimate the effect of serum lead, mercury, manganese, and copper on three DNA methylation-based biomarkers of biological aging (Horvath Age, PhenoAge, and GrimAge). We used mixed models and Bayesian kernel machine regression and controlled for participant sex, race, ethnicity, cigarette use, income, educational attainment, and block group poverty. We observed consistently positive estimates of the effects between lead and GrimAge acceleration and mercury and PhenoAge acceleration. In contrast, we observed consistently negative associations between manganese and PhenoAge acceleration and mercury and Horvath Age acceleration. We also observed curvilinear relationships between copper and both PhenoAge and GrimAge acceleration. Increasing total exposure to the observed mixture of metals was associated with increased PhenoAge and GrimAge acceleration and decreased Horvath Age acceleration. These findings indicate that an increase in serum lead or mercury from the 25th to 75th percentile is associated with a ∼0.25-year increase in two epigenetic markers of all-cause mortality in a population of adults in Detroit, Michigan. While few of the findings were statistically significant, their consistency and novelty warrant interest.
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Affiliation(s)
- Evans K Lodge
- *Correspondence address. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Drive, Chapel Hill, NC 27599, USA. Tel: +574-339-0253; Fax: +919-966-2089; E-mail:
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
- Institute for Environmental Health Solutions, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
| | - Chantel L Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, 123 W Franklin St, Chapel Hill, NC 27516, USA
- Center for Environmental Health & Susceptibility, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
- Center for Environmental Health & Susceptibility, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
| | - Alexandra J White
- Epidemiology Branch, National Institute of Environmental Health Sciences, A323 David P Rall Building, Research Triangle Park, NC 27709, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, 104 Mason Farm Rd, Chapel Hill, NC 27514, USA
| | - Agaz H Wani
- Genomics Program, College of Public Health, University of South Florida, 12901 Bruce B Downs Blvd, Tampa, FL 33612, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, 12901 Bruce B Downs Blvd, Tampa, FL 33612, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, 12901 Bruce B Downs Blvd, Tampa, FL 33612, USA
| | - Sandro Galea
- School of Public Health, Boston University, 715 Albany St, Boston, MA 02118, USA
| | - Allison E Aiello
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, 135 Dauer Dr, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, 123 W Franklin St, Chapel Hill, NC 27516, USA
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15
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Holliday KM, Gondalia R, Baldassari A, Justice AE, Stewart JD, Liao D, Yanosky JD, Jordahl KM, Bhatti P, Assimes TL, Pankow JS, Guan W, Fornage M, Bressler J, North KE, Conneely KN, Li Y, Hou L, Vokonas PS, Ward-Caviness CK, Wilson R, Wolf K, Waldenberger M, Cyrys J, Peters A, Boezen HM, Vonk JM, Sayols-Baixeras S, Lee M, Baccarelli AA, Whitsel EA. Gaseous air pollutants and DNA methylation in a methylome-wide association study of an ethnically and environmentally diverse population of U.S. adults. Environ Res 2022; 212:113360. [PMID: 35500859 PMCID: PMC9354583 DOI: 10.1016/j.envres.2022.113360] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 04/18/2022] [Accepted: 04/20/2022] [Indexed: 06/03/2023]
Abstract
Epigenetic mechanisms may underlie air pollution-health outcome associations. We estimated gaseous air pollutant-DNA methylation (DNAm) associations using twelve subpopulations within Women's Health Initiative (WHI) and Atherosclerosis Risk in Communities (ARIC) cohorts (n = 8397; mean age 61.3 years; 83% female; 46% African-American, 46% European-American, 8% Hispanic/Latino). We used geocoded participant address-specific mean ambient carbon monoxide (CO), nitrogen oxides (NO2; NOx), ozone (O3), and sulfur dioxide (SO2) concentrations estimated over the 2-, 7-, 28-, and 365-day periods before collection of blood samples used to generate Illumina 450 k array leukocyte DNAm measurements. We estimated methylome-wide, subpopulation- and race/ethnicity-stratified pollutant-DNAm associations in multi-level, linear mixed-effects models adjusted for sociodemographic, behavioral, meteorological, and technical covariates. We combined stratum-specific estimates in inverse variance-weighted meta-analyses and characterized significant associations (false discovery rate; FDR<0.05) at Cytosine-phosphate-Guanine (CpG) sites without among-strata heterogeneity (PCochran's Q > 0.05). We attempted replication in the Cooperative Health Research in Region of Augsburg (KORA) study and Normative Aging Study (NAS). We observed a -0.3 (95% CI: -0.4, -0.2) unit decrease in percent DNAm per interquartile range (IQR, 7.3 ppb) increase in 28-day mean NO2 concentration at cg01885635 (chromosome 3; regulatory region 290 bp upstream from ZNF621; FDR = 0.03). At intragenic sites cg21849932 (chromosome 20; LIME1; intron 3) and cg05353869 (chromosome 11; KLHL35; exon 2), we observed a -0.3 (95% CI: -0.4, -0.2) unit decrease (FDR = 0.04) and a 1.2 (95% CI: 0.7, 1.7) unit increase (FDR = 0.04), respectively, in percent DNAm per IQR (17.6 ppb) increase in 7-day mean ozone concentration. Results were not fully replicated in KORA and NAS. We identified three CpG sites potentially susceptible to gaseous air pollution-induced DNAm changes near genes relevant for cardiovascular and lung disease. Further harmonized investigations with a range of gaseous pollutants and averaging durations are needed to determine the effect of gaseous air pollutants on DNA methylation and ultimately gene expression.
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Affiliation(s)
- Katelyn M Holliday
- Department of Family Medicine and Community Health, School of Medicine, Duke University, Durham, NC, USA; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
| | - Rahul Gondalia
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Antoine Baldassari
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | | | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Duanping Liao
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Kristina M Jordahl
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Parveen Bhatti
- Cancer Control Research, BC Cancer, Vancouver, BC, Canada
| | | | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA; Center for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA
| | - Pantel S Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Schools of Medicine and Public Health, Boston University, Boston, MA, USA
| | - Cavin K Ward-Caviness
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA
| | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany; Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764, Neuherberg, Germany; Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig Maximilians University, Munich, Germany
| | - H Marike Boezen
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, the Netherlands; University of Groningen, University Medical Center Groningen, GRIAC Research Institute, the Netherlands
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, the Netherlands; University of Groningen, University Medical Center Groningen, GRIAC Research Institute, the Netherlands
| | - Sergi Sayols-Baixeras
- Cardiovascular Epidemiology and Genetics Research Group, Hospital Del Mar Medical Research Institute (IMIM), Campus Del Mar, Universitat Pompeu Fabra, Barcelona, Spain; Consorcio CIBER, M.P. Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain; Molecular Epidemiology and Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Mikyeong Lee
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Andrea A Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
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16
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Ward-Caviness CK, Moyer J, Weaver A, Devlin R, Diaz-Sanchez D. Associations between PFAS occurrence and multimorbidity as observed in an electronic health record cohort. Environ Epidemiol 2022; 6:e217. [PMID: 35975166 PMCID: PMC9374186 DOI: 10.1097/ee9.0000000000000217] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 06/14/2022] [Indexed: 01/06/2023] Open
Abstract
Per and polyfluoroalkyl substances (PFAS) are associated with health outcomes ranging from cancer to high cholesterol. However, there has been little examination of how PFAS exposure might impact the development of multiple chronic diseases, known as multimorbidity. Here, we associated the presence of one or more PFAS in water systems serving the zip code of residence with chronic disease and multimorbidity.
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17
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Wyatt LH, Weaver AM, Moyer J, Schwartz JD, Di Q, Diaz-Sanchez D, Cascio WE, Ward-Caviness CK. Short-term PM 2.5 exposure and early-readmission risk: a retrospective cohort study in North Carolina heart failure patients. Am Heart J 2022; 248:130-138. [PMID: 35263652 DOI: 10.1016/j.ahj.2022.02.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/24/2022] [Accepted: 02/25/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND Short-term changes in ambient fine particulate matter (PM2.5) increase the risk for unplanned hospital readmissions. However, this association has not been fully evaluated for high-risk patients or examined to determine if the readmission risk differs based on time since discharge. Here we investigate the relation between ambient PM2.5 and 30-day readmission risk in heart failure (HF) patients using daily time windows and examine how this risk varies with respect to time following discharge. METHODS We performed a retrospective cohort study of 17,674 patients with a recorded HF diagnosis between 2004 and 2016. The cohort was identified using the EPA CARES electronic health record resource. The association between ambient daily PM2.5 (μg/m3) concentration and 30-day readmissions was evaluated using time-dependent Cox proportional hazard models. PM2.5 associated readmission risk was examined throughout the 30-day readmission period and for early readmissions (1-3 days post-discharge). Models for 30-day readmissions included a parametric continuous function to estimate the daily PM2.5 associated readmission hazard. Fine-resolution ambient PM2.5 data were assigned to patient residential address and hazard ratios are expressed per 10 μg/m3 of PM2.5. Secondary analyses examined potential effect modification based on the time after a HF diagnosis, urbanicity, medication prescription, comorbidities, and type of HF. RESULTS The hazard of a PM2.5-related readmission within 3 days of discharge was 1.33 (95% CI 1.18-1.51). This PM2.5 readmission hazard was slightly elevated in patients residing in non-urban areas (1.43, 95%CI 1.22-1.67) and for HF patients without a beta-blocker prescription prior to the readmission (1.35; 95% CI 1.19-1.53). CONCLUSION Our findings add to the evidence indicating substantial air quality-related health risks in individuals with underlying cardiovascular disease. Hospital readmissions are key metrics for patients and providers alike. As a potentially modifiable risk factor, air pollution-related interventions may be enacted that might assist in reducing costly and burdensome unplanned readmissions.
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18
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Wyatt L, Kamat G, Moyer J, Weaver AM, Diaz-Sanchez D, Devlin RB, Di Q, Schwartz JD, Cascio WE, Ward-Caviness CK. Associations between short-term exposure to PM 2.5 and cardiomyocyte injury in myocardial infarction survivors in North Carolina. Open Heart 2022; 9:openhrt-2021-001891. [PMID: 35750420 PMCID: PMC9234784 DOI: 10.1136/openhrt-2021-001891] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 05/23/2022] [Indexed: 12/20/2022] Open
Abstract
Objective Short-term ambient fine particulate matter (PM2.5) is associated with adverse cardiovascular events including myocardial infarction (MI). However, few studies have examined associations between PM2.5 and subclinical cardiomyocyte damage outside of overt cardiovascular events. Here we evaluate the impact of daily PM2.5 on cardiac troponin I, a cardiomyocyte specific biomarker of cellular damage. Methods We conducted a retrospective cohort study of 2924 patients identified using electronic health records from the University of North Carolina Healthcare System who had a recorded MI between 2004 and 2016. Troponin I measurements were available from 2014 to 2016, and were required to be at least 1 week away from a clinically diagnosed MI. Daily ambient PM2.5 concentrations were estimated at 1 km resolution and assigned to patient residence. Associations between log-transformed troponin I and daily PM2.5 were evaluated using distributed lag linear mixed effects models adjusted for patient demographics, socioeconomic status and meteorology. Results A 10 µg/m3 elevation in PM2.5 3 days before troponin I measurement was associated with 0.06 ng/mL higher troponin I (95% CI=0.004 to 0.12). In stratified models, this association was strongest in patients that were men, white and living in less urban areas. Similar associations were observed when using 2-day rolling averages and were consistently strongest when using the average exposure over the 5 days prior to troponin I measurement. Conclusions Daily elevations in PM2.5 were associated with damage to cardiomyocytes, outside of the occurrence of an MI. Poor air quality may cause persistent damage to the cardiovascular system leading to increased risk of cardiovascular disease and adverse cardiovascular events.
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Affiliation(s)
- Lauren Wyatt
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - Gauri Kamat
- Brown University, Providence, Rhode Island, USA
| | - Joshua Moyer
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - Anne M Weaver
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - David Diaz-Sanchez
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - Robert B Devlin
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Joel D Schwartz
- Harvard T.H. Chan School of Public Health, Department of Environmental Health, Harvard University, Boston, Massachusetts, USA
| | - Wayne E Cascio
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
| | - Cavin K Ward-Caviness
- US Environmental Protection Agency Center for Public Health and Environmental Assessment, Research Triangle Park, North Carolina, USA
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19
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Abstract
Longstanding racial/ethnic inequalities in morbidity and mortality persist in the United States. Although the determinants of health inequalities are complex, social and structural factors produced by inequitable and racialized systems are recognized as contributing sources. Social epigenetics is an emerging area of research that aims to uncover biological pathways through which social experiences affect health outcomes. A growing body of literature links adverse social exposures to epigenetic mechanisms, namely DNA methylation, offering a plausible pathway through which health inequalities may arise. This review provides an overview of social epigenetics and highlights existing literature linking social exposures—i.e., psychosocial stressors, racism, discrimination, socioeconomic position, and neighborhood social environment—to DNA methylation in humans.We conclude with a discussion of social epigenetics as a mechanistic link to health inequalities and provide suggestions for future social epigenetics research on health inequalities.
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Affiliation(s)
- Chantel L Martin
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; .,Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Lea Ghastine
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA;
| | - Evans K Lodge
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA; .,Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.,Institute of Environmental Health Solutions, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, USA
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20
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Pye HOT, Appel KW, Seltzer KM, Ward-Caviness CK, Murphy BN. Human-health impacts of controlling secondary air pollution precursors. Environ Sci Technol Lett 2022; 9:96-101. [PMID: 35342772 PMCID: PMC8942014 DOI: 10.1021/acs.estlett.1c00798] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Exposure to ozone and fine particle (PM2.5) air pollution results in premature death. These pollutants are predominantly secondary in nature and can form from nitrogen oxides (NOX), sulfur oxides (SOX), and volatile organic compounds (VOCs). Predicted health benefits for emission reduction scenarios often incompletely account for VOCs as precursors as well as the secondary organic aerosol (SOA) component of PM2.5. Here, we show that anthropogenic VOC emission reductions are more than twice as effective as equivalent fractional reductions of SOX or NOX at reducing air pollution-associated cardiorespiratory mortality in the United States. A 25% reduction in anthropogenic VOC emissions from 2016 levels is predicted to avoid 13,000 premature deaths per year, and most (85%) of the VOC-reduction benefits result from reduced SOA with the remainder from ozone. While NOX (-5.7 ± 0.2 % yr-1) and SOX (-12 ± 1 % yr-1) emissions have declined precipitously across the U.S. since 2002, anthropogenic VOC emissions (-1.8 ± 0.3 % yr-1) and concentrations of non-methane organic carbon (-2.4 ± 1.0 % yr-1) have changed less. This work indicates preferentially controlling VOCs could yield significant benefits to human health.
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Affiliation(s)
- Havala O. T. Pye
- Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC, 27711, USA
| | - K. Wyat Appel
- Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC, 27711, USA
| | - Karl M. Seltzer
- Oak Ridge Institute for Science and Education Postdoctoral Fellow in the Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC, 27711, USA
| | - Cavin K. Ward-Caviness
- Office of Research and Development, U.S. Environmental Protection Agency, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA
| | - Benjamin N. Murphy
- Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC, 27711, USA
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21
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Weaver AM, McGuinn LA, Neas L, Devlin RB, Dhingra R, Ward-Caviness CK, Cascio WE, Kraus WE, Hauser ER, Diaz-Sanchez D. Associations between neighborhood socioeconomic cluster and hypertension, diabetes, myocardial infarction, and coronary artery disease within a cohort of cardiac catheterization patients. Am Heart J 2022; 243:201-209. [PMID: 34610283 PMCID: PMC8633144 DOI: 10.1016/j.ahj.2021.09.013] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 09/24/2021] [Indexed: 01/01/2023]
Abstract
Background Neighborhood-level socioeconomic status (SES) is associated with health outcomes, including cardiovascular disease and diabetes, but these associations are rarely studied across large, diverse populations. Methods We used Ward’s Hierarchical clustering to define eight neighborhood clusters across North Carolina using 11 census-based indicators of SES, race, housing, and urbanicity and assigned 6992 cardiac catheterization patients at Duke University Hospital from 2001 to 2010 to clusters. We examined associations between clusters and coronary artery disease index > 23 (CAD), history of myocardial infarction, hypertension, and diabetes using logistic regression adjusted for age, race, sex, body mass index, region of North Carolina, distance to Duke University Hospital, and smoking status. Results Four clusters were urban, three rural, and one suburban higher-middle-SES (referent). We observed greater odds of myocardial infarction in all six clusters with lower or middle-SES. Odds of CAD were elevated in the rural cluster that was low-SES and plurality Black (OR 1.16, 95% CI 0.94-1.43) and in the rural cluster that was majority American Indian (OR 1.31, 95% CI 0.91-1.90). Odds of diabetes and hypertension were elevated in two urban and one rural low- and lower-middle SES clusters with large Black populations. Conclusions We observed higher prevalence of cardiovascular disease and diabetes in neighborhoods that were predominantly rural, low-SES, and non-White, highlighting the importance of public health and healthcare system outreach into these communities to promote cardiometabolic health and prevent and manage hypertension, diabetes and coronary artery disease.
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22
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Pye HOT, Ward-Caviness CK, Murphy BN, Appel KW, Seltzer KM. Secondary organic aerosol association with cardiorespiratory disease mortality in the United States. Nat Commun 2021; 12:7215. [PMID: 34916495 PMCID: PMC8677800 DOI: 10.1038/s41467-021-27484-1] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Accepted: 11/19/2021] [Indexed: 11/09/2022] Open
Abstract
Fine particle pollution, PM2.5, is associated with increased risk of death from cardiorespiratory diseases. A multidecadal shift in the United States (U.S.) PM2.5 composition towards organic aerosol as well as advances in predictive algorithms for secondary organic aerosol (SOA) allows for novel examinations of the role of PM2.5 components on mortality. Here we show SOA is strongly associated with county-level cardiorespiratory death rates in the U.S. independent of the total PM2.5 mass association with the largest associations located in the southeastern U.S. Compared to PM2.5, county-level variability in SOA across the U.S. is associated with 3.5× greater per capita county-level cardiorespiratory mortality. On a per mass basis, SOA is associated with a 6.5× higher rate of mortality than PM2.5, and biogenic and anthropogenic carbon sources both play a role in the overall SOA association with mortality. Our results suggest reducing the health impacts of PM2.5 requires consideration of SOA.
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Affiliation(s)
- Havala O. T. Pye
- grid.418698.a0000 0001 2146 2763Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC 27711 USA
| | - Cavin K. Ward-Caviness
- grid.418698.a0000 0001 2146 2763Office of Research and Development, U.S. Environmental Protection Agency, 104 Mason Farm Rd, Chapel Hill, NC 27514 USA
| | - Ben N. Murphy
- grid.418698.a0000 0001 2146 2763Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC 27711 USA
| | - K. Wyat Appel
- grid.418698.a0000 0001 2146 2763Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC 27711 USA
| | - Karl M. Seltzer
- grid.418698.a0000 0001 2146 2763Oak Ridge Institute for Science and Education Postdoctoral Fellow in the Office of Research and Development, U.S. Environmental Protection Agency, 109 TW Alexander Dr, Research Triangle Park, NC 27711 USA
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23
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Ward-Caviness CK. Accelerated Epigenetic Aging and Incident Atrial Fibrillation: New Outlook on an Immutable Risk Factor? Circulation 2021; 144:1912-1914. [PMID: 34898242 PMCID: PMC9070310 DOI: 10.1161/circulationaha.121.057533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC
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24
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Matías-García PR, Ward-Caviness CK, Raffield LM, Gao X, Zhang Y, Wilson R, Gào X, Nano J, Bostom A, Colicino E, Correa A, Coull B, Eaton C, Hou L, Just AC, Kunze S, Lange L, Lange E, Lin X, Liu S, Nwanaji-Enwerem JC, Reiner A, Shen J, Schöttker B, Vokonas P, Zheng Y, Young B, Schwartz J, Horvath S, Lu A, Whitsel EA, Koenig W, Adamski J, Winkelmann J, Brenner H, Baccarelli AA, Gieger C, Peters A, Franceschini N, Waldenberger M. DNAm-based signatures of accelerated aging and mortality in blood are associated with low renal function. Clin Epigenetics 2021; 13:121. [PMID: 34078457 PMCID: PMC8170969 DOI: 10.1186/s13148-021-01082-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Accepted: 04/18/2021] [Indexed: 01/30/2023] Open
Abstract
Background The difference between an individual's chronological and DNA methylation predicted age (DNAmAge), termed DNAmAge acceleration (DNAmAA), can capture life-long environmental exposures and age-related physiological changes reflected in methylation status. Several studies have linked DNAmAA to morbidity and mortality, yet its relationship with kidney function has not been assessed. We evaluated the associations between seven DNAm aging and lifespan predictors (as well as GrimAge components) and five kidney traits (estimated glomerular filtration rate [eGFR], urine albumin-to-creatinine ratio [uACR], serum urate, microalbuminuria and chronic kidney disease [CKD]) in up to 9688 European, African American and Hispanic/Latino individuals from seven population-based studies. Results We identified 23 significant associations in our large trans-ethnic meta-analysis (p < 1.43E−03 and consistent direction of effect across studies). Age acceleration measured by the Extrinsic and PhenoAge estimators, as well as Zhang’s 10-CpG epigenetic mortality risk score (MRS), were associated with all parameters of poor kidney health (lower eGFR, prevalent CKD, higher uACR, microalbuminuria and higher serum urate). Six of these associations were independently observed in European and African American populations. MRS in particular was consistently associated with eGFR (β = − 0.12, 95% CI = [− 0.16, − 0.08] change in log-transformed eGFR per unit increase in MRS, p = 4.39E−08), prevalent CKD (odds ratio (OR) = 1.78 [1.47, 2.16], p = 2.71E-09) and higher serum urate levels (β = 0.12 [0.07, 0.16], p = 2.08E−06). The “first-generation” clocks (Hannum, Horvath) and GrimAge showed different patterns of association with the kidney traits. Three of the DNAm-estimated components of GrimAge, namely adrenomedullin, plasminogen-activation inhibition 1 and pack years, were positively associated with higher uACR, serum urate and microalbuminuria. Conclusion DNAmAge acceleration and DNAm mortality predictors estimated in whole blood were associated with multiple kidney traits, including eGFR and CKD, in this multi-ethnic study. Epigenetic biomarkers which reflect the systemic effects of age-related mechanisms such as immunosenescence, inflammaging and oxidative stress may have important mechanistic or prognostic roles in kidney disease. Our study highlights new findings linking kidney disease to biological aging, and opportunities warranting future investigation into DNA methylation biomarkers for prognostic or risk stratification in kidney disease. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01082-w.
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Affiliation(s)
- Pamela R Matías-García
- TUM School of Medicine, Technical University of Munich, Munich, Germany. .,Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany. .,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany. .,German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | - Xu Gao
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany
| | - Xīn Gào
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jana Nano
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Andrew Bostom
- Center For Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket, RI, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Adolfo Correa
- Departments of Medicine and Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Charles Eaton
- Center For Primary Care and Prevention, Memorial Hospital of Rhode Island, Pawtucket, RI, USA.,Department of Family Medicine, Warren Alpert Medical School, Brown University, Providence, RI, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonja Kunze
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany
| | - Leslie Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Ethan Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Xihong Lin
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Simin Liu
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI, USA
| | | | - Alex Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Jincheng Shen
- Department of Population Health Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Ben Schöttker
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Bessie Young
- Nephrology, Hospital and Specialty Medicine and Center for Innovation for Veteran-Centered and Value Driven Care, Veterans Affairs Puget Sound Health Care System, Seattle, WA, USA.,Division of Nephrology, Kidney Research Institute, University of Washington, Seattle, WA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Ake Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Wolfgang Koenig
- German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.,Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.,Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Jerzy Adamski
- Research Unit Molecular Endocrinology and Metabolism, Genome Analysis Center, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,Chair for Experimental Genetics, Technical University of Munich, Freising-Weihenstephan, Germany.,Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Juliane Winkelmann
- Institute of Neurogenomics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,Chair Neurogenetics, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Human Genetics, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research, University of Heidelberg, Heidelberg, Germany
| | - Andrea A Baccarelli
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany.,German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany. .,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich/Neuherberg, Germany. .,German Center for Cardiovascular Research (DZHK), Partner Site Munich Heart Alliance, Munich, Germany.
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25
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Ward-Caviness CK, Danesh Yazdi M, Moyer J, Weaver AM, Cascio WE, Di Q, Schwartz JD, Diaz-Sanchez D. Long-Term Exposure to Particulate Air Pollution Is Associated With 30-Day Readmissions and Hospital Visits Among Patients With Heart Failure. J Am Heart Assoc 2021; 10:e019430. [PMID: 33942627 PMCID: PMC8200693 DOI: 10.1161/jaha.120.019430] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
Abstract
Background Long‐term air pollution exposure is a significant risk factor for inpatient hospital admissions in the general population. However, we lack information on whether long‐term air pollution exposure is a risk factor for hospital readmissions, particularly in individuals with elevated readmission rates. Methods and Results We determined the number of readmissions and total hospital visits (outpatient visits+emergency room visits+inpatient admissions) for 20 920 individuals with heart failure. We used quasi‐Poisson regression models to associate annual average fine particulate matter at the date of heart failure diagnosis with the number of hospital visits and 30‐day readmissions. We used inverse probability weights to balance the distribution of confounders and adjust for the competing risk of death. Models were adjusted for age, race, sex, smoking status, urbanicity, year of diagnosis, short‐term fine particulate matter exposure, comorbid disease, and socioeconomic status. A 1‐µg/m3 increase in fine particulate matter was associated with a 9.31% increase (95% CI, 7.85%–10.8%) in total hospital visits, a 4.35% increase (95% CI, 1.12%–7.68%) in inpatient admissions, and a 14.2% increase (95% CI, 8.41%–20.2%) in 30‐day readmissions. Associations were robust to different modeling approaches. Conclusions These results highlight the potential for air pollution to play a role in hospital use, particularly hospital visits and readmissions. Given the elevated frequency of hospitalizations and readmissions among patients with heart failure, these results also represent an important insight into modifiable environmental risk factors that may improve outcomes and reduce hospital use among patients with heart failure.
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Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health Harvard TH Chan School of Public Health Boston MA
| | - Joshua Moyer
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Anne M Weaver
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Wayne E Cascio
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Qian Di
- Vanke School of Public Health Tsinghua University Beijing China
| | - Joel D Schwartz
- Department of Environmental Health Harvard TH Chan School of Public Health Boston MA.,Department of Epidemiology Harvard TH Chan School of Public Health Boston MA
| | - David Diaz-Sanchez
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
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26
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Martin CL, Ward-Caviness CK, Dhingra R, Zikry TM, Galea S, Wildman DE, Koenen KC, Uddin M, Aiello AE. Neighborhood environment, social cohesion, and epigenetic aging. Aging (Albany NY) 2021; 13:7883-7899. [PMID: 33714950 PMCID: PMC8034890 DOI: 10.18632/aging.202814] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/16/2021] [Indexed: 12/30/2022]
Abstract
Living in adverse neighborhood environments has been linked to risk of aging-related diseases and mortality; however, the biological mechanisms explaining this observation remain poorly understood. DNA methylation (DNAm), a proposed mechanism and biomarker of biological aging responsive to environmental stressors, offers promising insight into potential molecular pathways. We examined associations between three neighborhood social environment measures (poverty, quality, and social cohesion) and three epigenetic clocks (Horvath, Hannum, and PhenoAge) using data from the Detroit Neighborhood Health Study (n=158). Using linear regression models, we evaluated associations in the total sample and stratified by sex and social cohesion. Neighborhood quality was associated with accelerated DNAm aging for Horvath age acceleration (β = 1.8; 95% CI: 0.4, 3.1), Hannum age acceleration (β = 1.7; 95% CI: 0.4, 3.0), and PhenoAge acceleration (β = 2.1; 95% CI: 0.4, 3.8). In models stratified on social cohesion, associations of neighborhood poverty and quality with accelerated DNAm aging remained elevated for residents living in neighborhoods with lower social cohesion, but were null for those living in neighborhoods with higher social cohesion. Our study suggests that living in adverse neighborhood environments can speed up epigenetic aging, while positive neighborhood attributes may buffer effects.
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Affiliation(s)
- Chantel L. Martin
- 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, Chapel Hill, NC 27599, USA
| | - Cavin K. Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Durham, NC 27709, USA
| | - Radhika Dhingra
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Institute of Environmental Health Solutions, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Tarek M. Zikry
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Sandro Galea
- School of Public Health, Boston University, Boston, MA 02118, USA
| | - Derek E. Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL 33612, USA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL 33612, USA
| | - Allison E Aiello
- 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, Chapel Hill, NC 27599, USA
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27
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Maners J, Gill D, Pankratz N, Laffan MA, Wolberg AS, de Maat MPM, Ligthart S, Tang W, Ward-Caviness CK, Fornage M, Debette S, Dichgans M, McKnight B, Boerwinkle E, Smith NL, Morrison AC, Dehghan A, de Vries PS. A Mendelian randomization of γ' and total fibrinogen levels in relation to venous thromboembolism and ischemic stroke. Blood 2020; 136:3062-3069. [PMID: 33367543 PMCID: PMC7770565 DOI: 10.1182/blood.2019004781] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 07/12/2020] [Indexed: 12/23/2022] Open
Abstract
Fibrinogen is a key component of the coagulation cascade, and variation in its circulating levels may contribute to thrombotic diseases, such as venous thromboembolism (VTE) and ischemic stroke. Gamma prime (γ') fibrinogen is an isoform of fibrinogen that has anticoagulant properties. We applied 2-sample Mendelian randomization (MR) to estimate the causal effect of total circulating fibrinogen and its isoform, γ' fibrinogen, on risk of VTE and ischemic stroke subtypes using summary statistics from genome-wide association studies. Genetic instruments for γ' fibrinogen and total fibrinogen were selected, and the inverse-variance weighted MR approach was used to estimate causal effects in the main analysis, complemented by sensitivity analyses that are more robust to the inclusion of pleiotropic variants, including MR-Egger, weighted median MR, and weighted mode MR. The main inverse-variance weighted MR estimates based on a combination of 16 genetic instruments for γ' fibrinogen and 75 genetic instruments for total fibrinogen indicated a protective effect of higher γ' fibrinogen and higher total fibrinogen on VTE risk. There was also a protective effect of higher γ' fibrinogen levels on cardioembolic and large artery stroke risk. Effect estimates were consistent across sensitivity analyses. Our results provide evidence to support effects of genetically determined γ' fibrinogen on VTE and ischemic stroke risk. Further research is needed to explore mechanisms underlying these effects and their clinical applications.
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Affiliation(s)
- Jillian Maners
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Dipender Gill
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Michael A Laffan
- Centre for Haematology, Imperial College London, London, United Kingdom
| | - Alisa S Wolberg
- Department of Pathology and Laboratory Medicine, University of North Carolina, Chapel Hill, NC
| | | | - Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Weihong Tang
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN
| | - Cavin K Ward-Caviness
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Stephanie Debette
- Stroke Research Group, Division of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Department of Neurology, Institute for Neurodegenerative Disease, Bordeaux University Hospital, Bordeaux, France
| | - Martin Dichgans
- Institute for Stroke and Dementia Research, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Barbara McKnight
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Nicholas L Smith
- Kaiser Permanente Washington Research Institute, Kaiser Permanente Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
- Seattle Epidemiologic Research and Information Center, Office of Research and Development, Department of Veteran Affairs, Seattle, WA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
- Medical Research Council-Public Health England (MRC-PHE) Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom; and
- UK Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
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28
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Davis MD, Winters BR, Madden MC, Pleil JD, Sessler CN, Wallace MAG, Ward-Caviness CK, Montpetit AJ. Exhaled breath condensate biomarkers in critically ill, mechanically ventilated patients. J Breath Res 2020; 15:016011. [DOI: 10.1088/1752-7163/abc235] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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29
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Ward-Caviness CK, Weaver AM, Buranosky M, Pfaff ER, Neas LM, Devlin RB, Schwartz J, Di Q, Cascio WE, Diaz-Sanchez D. Associations Between Long-Term Fine Particulate Matter Exposure and Mortality in Heart Failure Patients. J Am Heart Assoc 2020; 9:e012517. [PMID: 32172639 PMCID: PMC7335509 DOI: 10.1161/jaha.119.012517] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Background Environmental health risks for individuals with heart failure (HF) have been inadequately studied, as these individuals are not well represented in traditional cohort studies. To address this we studied associations between long-term air pollution exposure and mortality in HF patients. Methods and Results The study population was a hospital-based cohort of individuals diagnosed with HF between July 1, 2004 and December 31, 2016 compiled using electronic health records. Individuals were followed from 1 year after initial diagnosis until death or the end of the observation period (December 31, 2016). We used Cox proportional hazards models to evaluate the association of annual average fine particulate matter (PM2.5) exposure at the time of initial HF diagnosis with all-cause mortality, adjusted for age, race, sex, distance to the nearest air pollution monitor, and socioeconomic status indicators. Among 23 302 HF patients, a 1 μg/m3 increase in annual average PM2.5 was associated with an elevated risk of all-cause mortality (hazard ratio 1.13; 95% CI, 1.10-1.15). As compared with people with exposures below the current national PM2.5 exposure standard (12 μg/m3), those with elevated exposures experienced 0.84 (95% CI, 0.73-0.95) years of life lost over a 5-year period, an observation that persisted even for those residing in areas with PM2.5 concentrations below current standards. Conclusions Residential exposure to elevated concentrations of PM2.5 is a significant mortality risk factor for HF patients. Elevated PM2.5 exposures result in substantial years of life lost even at concentrations below current national standards.
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Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Anne M Weaver
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Matthew Buranosky
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Emily R Pfaff
- NC Translational and Clinical Sciences Institute University of North Carolina-Chapel Hill Chapel Hill NC
| | - Lucas M Neas
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Robert B Devlin
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - Joel Schwartz
- Department of Environmental Health Harvard T. H. Chan School of Public Health Boston MA.,Department of Epidemiology Harvard T. H. Chan School of Public Health Boston MA
| | - Qian Di
- Research Center for Public Health School of Medicine Tsinghua University Beijing China
| | - Wayne E Cascio
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
| | - David Diaz-Sanchez
- Center for Public Health and Environmental Assessment US Environmental Protection Agency Chapel Hill NC
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30
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Ward-Caviness CK, Pu S, Martin CL, Galea S, Uddin M, Wildman DE, Koenen K, Aiello AE. Epigenetic predictors of all-cause mortality are associated with objective measures of neighborhood disadvantage in an urban population. Clin Epigenetics 2020; 12:44. [PMID: 32160902 PMCID: PMC7065313 DOI: 10.1186/s13148-020-00830-8] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 02/17/2020] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Neighborhood characteristics are robust predictors of overall health and mortality risk for residents. Though there has been some investigation of the role that molecular indicators may play in mediating neighborhood exposures, there has been little effort to incorporate newly developed epigenetic biomarkers into our understanding of neighborhood characteristics and health outcomes. METHODS Using 157 participants of the Detroit Neighborhood Health Study with detailed assessments of neighborhood characteristics and genome-wide DNA methylation profiling via the Illumina 450K methylation array, we assessed the relationship between objective neighborhood characteristics and a validated DNA methylation-based epigenetic mortality risk score (eMRS). Associations were adjusted for age, race, sex, ever smoking, ever alcohol usage, education, years spent in neighborhood, and employment. A secondary model additionally adjusted for personal neighborhood perception. We summarized 19 neighborhood quality indicators assessed for participants into 9 principal components which explained over 90% of the variance in the data and served as metrics of objective neighborhood quality exposures. RESULTS Of the nine principal components utilized for this study, one was strongly associated with the eMRS (β = 0.15; 95% confidence interval = 0.06-0.24; P = 0.002). This principal component (PC7) was most strongly driven by the presence of abandoned cars, poor streets, and non-art graffiti. Models including both PC7 and individual indicators of neighborhood perception indicated that only PC7 and not neighborhood perception impacted the eMRS. When stratified on neighborhood indicators of greenspace, we observed a potentially protective effect of large mature trees as this feature substantially attenuated the observed association. CONCLUSION Objective measures of neighborhood disadvantage are significantly associated with an epigenetic predictor of mortality risk, presenting a potential novel avenue by which neighborhood-level exposures may impact health. Associations were independent of an individual's perception of their neighborhood and attenuated by neighborhood greenspace features. More work should be done to determine molecular risk factors associated with neighborhoods, and potentially protective neighborhood features against adverse molecular effects.
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Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, 104 Mason Farm Rd, Chapel Hill, NC, 27514, USA.
| | - Shirley Pu
- University of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Chantel L Martin
- Carolina Population Center, Univeristy of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
- Department of Epidemiology, Gillings School of Global Public Health, Univerity of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
| | - Sandro Galea
- School of Public Health, Boston University, Boston, MA, 02118, USA
| | - Monica Uddin
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, 33612, USA
| | - Derek E Wildman
- Genomics Program, College of Public Health, University of South Florida, Tampa, FL, 33612, USA
| | - Karestan Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Allison E Aiello
- Carolina Population Center, Univeristy of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
- Department of Epidemiology, Gillings School of Global Public Health, Univerity of North Carolina-Chapel Hill, Chapel Hill, NC, 27514, USA
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31
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Sabater-Lleal M, Huffman JE, de Vries PS, Marten J, Mastrangelo MA, Song C, Pankratz N, Ward-Caviness CK, Yanek LR, Trompet S, Delgado GE, Guo X, Bartz TM, Martinez-Perez A, Germain M, de Haan HG, Ozel AB, Polasek O, Smith AV, Eicher JD, Reiner AP, Tang W, Davies NM, Stott DJ, Rotter JI, Tofler GH, Boerwinkle E, de Maat MPM, Kleber ME, Welsh P, Brody JA, Chen MH, Vaidya D, Soria JM, Suchon P, van Hylckama Vlieg A, Desch KC, Kolcic I, Joshi PK, Launer LJ, Harris TB, Campbell H, Rudan I, Becker DM, Li JZ, Rivadeneira F, Uitterlinden AG, Hofman A, Franco OH, Cushman M, Psaty BM, Morange PE, McKnight B, Chong MR, Fernandez-Cadenas I, Rosand J, Lindgren A, Gudnason V, Wilson JF, Hayward C, Ginsburg D, Fornage M, Rosendaal FR, Souto JC, Becker LC, Jenny NS, März W, Jukema JW, Dehghan A, Trégouët DA, Morrison AC, Johnson AD, O'Donnell CJ, Strachan DP, Lowenstein CJ, Smith NL. Genome-Wide Association Transethnic Meta-Analyses Identifies Novel Associations Regulating Coagulation Factor VIII and von Willebrand Factor Plasma Levels. Circulation 2019; 139:620-635. [PMID: 30586737 DOI: 10.1161/circulationaha.118.034532] [Citation(s) in RCA: 83] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Factor VIII (FVIII) and its carrier protein von Willebrand factor (VWF) are associated with risk of arterial and venous thrombosis and with hemorrhagic disorders. We aimed to identify and functionally test novel genetic associations regulating plasma FVIII and VWF. METHODS We meta-analyzed genome-wide association results from 46 354 individuals of European, African, East Asian, and Hispanic ancestry. All studies performed linear regression analysis using an additive genetic model and associated ≈35 million imputed variants with natural log-transformed phenotype levels. In vitro gene silencing in cultured endothelial cells was performed for candidate genes to provide additional evidence on association and function. Two-sample Mendelian randomization analyses were applied to test the causal role of FVIII and VWF plasma levels on the risk of arterial and venous thrombotic events. RESULTS We identified 13 novel genome-wide significant ( P≤2.5×10-8) associations, 7 with FVIII levels ( FCHO2/TMEM171/TNPO1, HLA, SOX17/RP1, LINC00583/NFIB, RAB5C-KAT2A, RPL3/TAB1/SYNGR1, and ARSA) and 11 with VWF levels ( PDHB/PXK/KCTD6, SLC39A8, FCHO2/TMEM171/TNPO1, HLA, GIMAP7/GIMAP4, OR13C5/NIPSNAP, DAB2IP, C2CD4B, RAB5C-KAT2A, TAB1/SYNGR1, and ARSA), beyond 10 previously reported associations with these phenotypes. Functional validation provided further evidence of association for all loci on VWF except ARSA and DAB2IP. Mendelian randomization suggested causal effects of plasma FVIII activity levels on venous thrombosis and coronary artery disease risk and plasma VWF levels on ischemic stroke risk. CONCLUSIONS The meta-analysis identified 13 novel genetic loci regulating FVIII and VWF plasma levels, 10 of which we validated functionally. We provide some evidence for a causal role of these proteins in thrombotic events.
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Affiliation(s)
- Maria Sabater-Lleal
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden (M.S.-L.).,Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau, IIB-Sant Pau, Barcelona, Spain (M.S.-L., A.M.-P., J.M.S.)
| | - Jennifer E Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.)
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health (P.S.d.V., E.B., M.F., A.C.M.), University of Texas Health Science Center at Houston.,Department of Epidemiology (P.S.d.V., A.H., O.H.F., A.D.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jonathan Marten
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine (J.M., J.F.W., C.H.), University of Edinburgh, Scotland
| | - Michael A Mastrangelo
- Aab Cardiovascular Research Institute, University of Rochester Medical Center, NY (M.A.M., C.J.L.)
| | - Ci Song
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.)
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota School of Medicine, Minneapolis (N.P.)
| | - Cavin K Ward-Caviness
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C.)
| | - Lisa R Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., D.V., D.M.B., L.C.B.)
| | - Stella Trompet
- Department of Geriatrics and Gerontology (S.T.), Leiden University Medical Center, the Netherlands.,Department of Cardiology (S.T., J.W.J.), Leiden University Medical Center, the Netherlands
| | - Graciela E Delgado
- Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (G.E.D., M.E.K., W.M.)
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA (X.G., J.I.R.)
| | - Traci M Bartz
- Department of Biostatistics (T.M.B., B.M.), University of Washington, Seattle
| | - Angel Martinez-Perez
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau, IIB-Sant Pau, Barcelona, Spain (M.S.-L., A.M.-P., J.M.S.)
| | - Marine Germain
- Institut national de la santé et de la recherche médicale (INSERM), UMR_S 1166, Team Genomics and Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, Université Pierre-et-Marie-Curie, Paris, France (M.G., D.-A.T.).,ICAN Institute for Cardiometabolism and Nutrition, Paris, France (M.G., D.-A.T.)
| | - Hugoline G de Haan
- Department of Clinical Epidemiology (H.G.d.H., A.v.H.V., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Ayse B Ozel
- Department of Human Genetics (A.B.O., J.Z.L., D.G.), University of Michigan, Ann Arbor
| | - Ozren Polasek
- Faculty of Medicine, University of Split, Croatia (O.P., I.K.)
| | - Albert V Smith
- School of Public Health, Department of Biostatistics (A.V.S.), University of Michigan, Ann Arbor
| | - John D Eicher
- Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.)
| | - Alex P Reiner
- Department of Epidemiology, (A.P.R., B.M.P., N.L.S.), University of Washington, Seattle.,Fred Hutchinson Cancer Research Center, Seattle, WA (A.P.R.)
| | - Weihong Tang
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis (W.T.)
| | - Neil M Davies
- Medical Research Council Integrative Epidemiology Unit and Bristol Medical School (N.M.D.), University of Bristol, UK
| | - David J Stott
- Academic Section of Geriatrics, Faculty of Medicine (J.D.S.), University of Glasgow, UK
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA (X.G., J.I.R.)
| | - Geoffrey H Tofler
- Royal North Shore Hospital, University of Sydney, Australia (G.H.T.)
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health (P.S.d.V., E.B., M.F., A.C.M.), University of Texas Health Science Center at Houston.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX (E.B.)
| | - Moniek P M de Maat
- Department of Hematology (M.P.M.d.M.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Marcus E Kleber
- Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (G.E.D., M.E.K., W.M.).,Institute of Nutrition, Friedrich-Schiller-University Jena, Mannheim, Germany (M.E.K.)
| | - Paul Welsh
- Institute of Cardiovascular and Medical Sciences (P.W.), University of Glasgow, UK
| | - Jennifer A Brody
- Department of Medicine (J.A.B., B.M.P.), University of Washington, Seattle
| | - Ming-Huei Chen
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.)
| | - Dhananjay Vaidya
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., D.V., D.M.B., L.C.B.)
| | - José Manuel Soria
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau, IIB-Sant Pau, Barcelona, Spain (M.S.-L., A.M.-P., J.M.S.)
| | - Pierre Suchon
- Laboratory of Haematology, La Timone Hospital, Marseille, France (P.S., P.-E.M.).,Institut national de la santé et de la recherche médicale (INSERM), UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille, France (P.S., P.-E.M.)
| | - Astrid van Hylckama Vlieg
- Department of Clinical Epidemiology (H.G.d.H., A.v.H.V., F.R.R.), Leiden University Medical Center, the Netherlands
| | - Karl C Desch
- Department of Pediatrics and Communicable Disease (K.D.C.), University of Michigan, Ann Arbor
| | - Ivana Kolcic
- Faculty of Medicine, University of Split, Croatia (O.P., I.K.)
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (P.K.J., H.C., I.R., J.F.W.), University of Edinburgh, Scotland
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences National Institute on Aging, Bethesda, MD (L.J.L., T.B.H.)
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences National Institute on Aging, Bethesda, MD (L.J.L., T.B.H.)
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (P.K.J., H.C., I.R., J.F.W.), University of Edinburgh, Scotland
| | - Igor Rudan
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (P.K.J., H.C., I.R., J.F.W.), University of Edinburgh, Scotland
| | - Diane M Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., D.V., D.M.B., L.C.B.)
| | - Jun Z Li
- Department of Human Genetics (A.B.O., J.Z.L., D.G.), University of Michigan, Ann Arbor
| | - Fernando Rivadeneira
- Department of Internal Medicine (F.R., A.G.U.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine (F.R., A.G.U.), Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Albert Hofman
- Department of Epidemiology (P.S.d.V., A.H., O.H.F., A.D.), Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Harvard H.T. Chan School of Public Health, Boston, MA (A.H.)
| | - Oscar H Franco
- Department of Epidemiology (P.S.d.V., A.H., O.H.F., A.D.), Erasmus University Medical Center, Rotterdam, the Netherlands.,Institute of Social and Preventive Medicine, University of Bern, Switzerland (O.H.F.)
| | - Mary Cushman
- Larner College of Medicine, University of Vermont, Colchester (M.C.)
| | - Bruce M Psaty
- Department of Epidemiology, (A.P.R., B.M.P., N.L.S.), University of Washington, Seattle.,Department of Medicine (J.A.B., B.M.P.), University of Washington, Seattle.,Department of Health Services (B.M.P.), University of Washington, Seattle.,Kaiser Permanente Washington Research Institute, Kaiser Permanente Washington, Seattle (B.M.P., N.L.S.)
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, Marseille, France (P.S., P.-E.M.).,Institut national de la santé et de la recherche médicale (INSERM), UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Marseille, France (P.S., P.-E.M.)
| | - Barbara McKnight
- Department of Biostatistics (T.M.B., B.M.), University of Washington, Seattle.,Cardiovascular Health Research Unit (B.M.), University of Washington, Seattle
| | - Michael R Chong
- McMaster University, Population Health Research Institute, Population Health Research Institute, Biochemistry and Biomedical Sciences, Hamilton, Canada (M.R.C.)
| | - Israel Fernandez-Cadenas
- Stroke Pharmacogenomics and genetics, Department of Neurology, Institut d'Investigació Biomedica Sant Pau, IIB-Sant Pau, Barcelona, Spain (I.F.-C.)
| | - Jonathan Rosand
- Massachusetts General Hospital, Broad Institute, Harvard Medical School, Boston (J.R.)
| | - Arne Lindgren
- Department of Clinical Sciences Lund, Neurology, Lund University, Sweden (A.L.).,Department of Neurology and Rehabilitation Medicine, Neurology, Skåne University Hospital, Lund, Sweden (A.L.)
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur (V.G.).,Faculty of Medicine, University of Iceland, Reykjavik (V.G.)
| | - James F Wilson
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine (J.M., J.F.W., C.H.), University of Edinburgh, Scotland.,Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics (P.K.J., H.C., I.R., J.F.W.), University of Edinburgh, Scotland
| | - Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine (J.M., J.F.W., C.H.), University of Edinburgh, Scotland
| | - David Ginsburg
- Department of Human Genetics (A.B.O., J.Z.L., D.G.), University of Michigan, Ann Arbor
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health (P.S.d.V., E.B., M.F., A.C.M.), University of Texas Health Science Center at Houston.,Brown Foundation Institute of Molecular Medicine (M.F.), University of Texas Health Science Center at Houston
| | - Frits R Rosendaal
- Department of Clinical Epidemiology (H.G.d.H., A.v.H.V., F.R.R.), Leiden University Medical Center, the Netherlands.,Einthoven Laboratory of Experimental Vascular Medicine (F.R.R., J.W.J.), Leiden University Medical Center, the Netherlands
| | - Juan Carlos Souto
- Unit of Hemostasis and Thrombosis, Hospital de la Sant Creu i Sant Pau, Barcelona, Spain (J.C.S.)
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD (L.R.Y., D.V., D.M.B., L.C.B.)
| | - Nancy S Jenny
- Department of Pathology and Laboratory Medicine, University of Vermont College of Medicine, Colchester (N.S.J.)
| | - Winfried März
- Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany (G.E.D., M.E.K., W.M.).,SYNLAB Academy, SYNLAB Holding Deutschland GmbH, Mannheim, Germany (W.M.).,Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Mannheim, Germany (W.M.)
| | - J Wouter Jukema
- Department of Cardiology (S.T., J.W.J.), Leiden University Medical Center, the Netherlands.,Einthoven Laboratory of Experimental Vascular Medicine (F.R.R., J.W.J.), Leiden University Medical Center, the Netherlands.,Interuniversity Cardiology Institute of the Netherlands, Utrecht (J.W.J.)
| | - Abbas Dehghan
- Department of Epidemiology (P.S.d.V., A.H., O.H.F., A.D.), Erasmus University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology and Biostatistics, Imperial College London, UK (A.D.)
| | - David-Alexandre Trégouët
- Institut national de la santé et de la recherche médicale (INSERM), UMR_S 1166, Team Genomics and Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, Université Pierre-et-Marie-Curie, Paris, France (M.G., D.-A.T.).,ICAN Institute for Cardiometabolism and Nutrition, Paris, France (M.G., D.-A.T.)
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health (P.S.d.V., E.B., M.F., A.C.M.), University of Texas Health Science Center at Houston
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.)
| | - Christopher J O'Donnell
- Population Sciences Branch, National Heart, Lung, and Blood Institute, Framingham, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Framingham Heart Study, MA (J.E.H., C.S., J.D.E., M.-H.C., A.D.J., C.J.O.).,Cardiology Section Administration, Boston VA Healthcare System, West Roxbury, MA (C.J.O.)
| | - David P Strachan
- Population Health Research Institute, St George's, University of London, UK (D.P.S.)
| | - Charles J Lowenstein
- Aab Cardiovascular Research Institute, University of Rochester Medical Center, NY (M.A.M., C.J.L.)
| | - Nicholas L Smith
- Department of Epidemiology, (A.P.R., B.M.P., N.L.S.), University of Washington, Seattle.,Kaiser Permanente Washington Research Institute, Kaiser Permanente Washington, Seattle (B.M.P., N.L.S.).,Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, WA (N.L.S.)
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32
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Gondalia R, Baldassari A, Holliday KM, Justice AE, Méndez-Giráldez R, Stewart JD, Liao D, Yanosky JD, Brennan KJM, Engel SM, Jordahl KM, Kennedy E, Ward-Caviness CK, Wolf K, Waldenberger M, Cyrys J, Peters A, Bhatti P, Horvath S, Assimes TL, Pankow JS, Demerath EW, Guan W, Fornage M, Bressler J, North KE, Conneely KN, Li Y, Hou L, Baccarelli AA, Whitsel EA. Methylome-wide association study provides evidence of particulate matter air pollution-associated DNA methylation. Environ Int 2019; 132:104723. [PMID: 31208937 PMCID: PMC6754789 DOI: 10.1016/j.envint.2019.03.071] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2018] [Revised: 03/28/2019] [Accepted: 03/29/2019] [Indexed: 05/17/2023]
Abstract
BACKGROUND DNA methylation (DNAm) may contribute to processes that underlie associations between air pollution and poor health. Therefore, our objective was to evaluate associations between DNAm and ambient concentrations of particulate matter (PM) ≤2.5, ≤10, and 2.5-10 μm in diameter (PM2.5; PM10; PM2.5-10). METHODS We conducted a methylome-wide association study among twelve cohort- and race/ethnicity-stratified subpopulations from the Women's Health Initiative and the Atherosclerosis Risk in Communities study (n = 8397; mean age: 61.5 years; 83% female; 45% African American; 9% Hispanic/Latino American). We averaged geocoded address-specific estimates of daily and monthly mean PM concentrations over 2, 7, 28, and 365 days and 1 and 12 months before exams at which we measured leukocyte DNAm in whole blood. We estimated subpopulation-specific, DNAm-PM associations at approximately 485,000 Cytosine-phosphate-Guanine (CpG) sites in multi-level, linear, mixed-effects models. We combined subpopulation- and site-specific estimates in fixed-effects, inverse variance-weighted meta-analyses, then for associations that exceeded methylome-wide significance and were not heterogeneous across subpopulations (P < 1.0 × 10-7; PCochran's Q > 0.10), we characterized associations using publicly accessible genomic databases and attempted replication in the Cooperative Health Research in the Region of Augsburg (KORA) study. RESULTS Analyses identified significant DNAm-PM associations at three CpG sites. Twenty-eight-day mean PM10 was positively associated with DNAm at cg19004594 (chromosome 20; MATN4; P = 3.33 × 10-8). One-month mean PM10 and PM2.5-10 were positively associated with DNAm at cg24102420 (chromosome 10; ARPP21; P = 5.84 × 10-8) and inversely associated with DNAm at cg12124767 (chromosome 7; CFTR; P = 9.86 × 10-8). The PM-sensitive CpG sites mapped to neurological, pulmonary, endocrine, and cardiovascular disease-related genes, but DNAm at those sites was not associated with gene expression in blood cells and did not replicate in KORA. CONCLUSIONS Ambient PM concentrations were associated with DNAm at genomic regions potentially related to poor health among racially, ethnically and environmentally diverse populations of U.S. women and men. Further investigation is warranted to uncover mechanisms through which PM-induced epigenomic changes may cause disease.
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Affiliation(s)
- Rahul Gondalia
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
| | - Antoine Baldassari
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Katelyn M Holliday
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Community and Family Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Anne E Justice
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Geisinger Health System, Danville, PA, USA
| | - Raúl Méndez-Giráldez
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Duanping Liao
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Jeff D Yanosky
- Division of Epidemiology, Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Kasey J M Brennan
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Stephanie M Engel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Kristina M Jordahl
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Elizabeth Kennedy
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Cavin K Ward-Caviness
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, 104 Mason Farm Rd, Chapel Hill, NC, USA
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Josef Cyrys
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, Germany; Environmental Science Center, University of Augsburg, Augsburg, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstaedter Landstrasse 1, Neuherberg, Germany
| | - Parveen Bhatti
- Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Steve Horvath
- Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA; Biostatistics, School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | | | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Yun Li
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA; Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Computer Science, University of North Carolina, Chapel Hill, NC, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA; Center for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA
| | - Andrea A Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
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33
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Agha G, Mendelson MM, Ward-Caviness CK, Joehanes R, Huan T, Gondalia R, Salfati E, Brody JA, Fiorito G, Bressler J, Chen BH, Ligthart S, Guarrera S, Colicino E, Just AC, Wahl S, Gieger C, Vandiver AR, Tanaka T, Hernandez DG, Pilling LC, Singleton AB, Sacerdote C, Krogh V, Panico S, Tumino R, Li Y, Zhang G, Stewart JD, Floyd JS, Wiggins KL, Rotter JI, Multhaup M, Bakulski K, Horvath S, Tsao PS, Absher DM, Vokonas P, Hirschhorn J, Fallin MD, Liu C, Bandinelli S, Boerwinkle E, Dehghan A, Schwartz JD, Psaty BM, Feinberg AP, Hou L, Ferrucci L, Sotoodehnia N, Matullo G, Peters A, Fornage M, Assimes TL, Whitsel EA, Levy D, Baccarelli AA. Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease. Circulation 2019; 140:645-657. [PMID: 31424985 PMCID: PMC6812683 DOI: 10.1161/circulationaha.118.039357] [Citation(s) in RCA: 117] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
BACKGROUND DNA methylation is implicated in coronary heart disease (CHD), but current evidence is based on small, cross-sectional studies. We examined blood DNA methylation in relation to incident CHD across multiple prospective cohorts. METHODS Nine population-based cohorts from the United States and Europe profiled epigenome-wide blood leukocyte DNA methylation using the Illumina Infinium 450k microarray, and prospectively ascertained CHD events including coronary insufficiency/unstable angina, recognized myocardial infarction, coronary revascularization, and coronary death. Cohorts conducted race-specific analyses adjusted for age, sex, smoking, education, body mass index, blood cell type proportions, and technical variables. We conducted fixed-effect meta-analyses across cohorts. RESULTS Among 11 461 individuals (mean age 64 years, 67% women, 35% African American) free of CHD at baseline, 1895 developed CHD during a mean follow-up of 11.2 years. Methylation levels at 52 CpG (cytosine-phosphate-guanine) sites were associated with incident CHD or myocardial infarction (false discovery rate<0.05). These CpGs map to genes with key roles in calcium regulation (ATP2B2, CASR, GUCA1B, HPCAL1), and genes identified in genome- and epigenome-wide studies of serum calcium (CASR), serum calcium-related risk of CHD (CASR), coronary artery calcified plaque (PTPRN2), and kidney function (CDH23, HPCAL1), among others. Mendelian randomization analyses supported a causal effect of DNA methylation on incident CHD; these CpGs map to active regulatory regions proximal to long non-coding RNA transcripts. CONCLUSION Methylation of blood-derived DNA is associated with risk of future CHD across diverse populations and may serve as an informative tool for gaining further insight on the development of CHD.
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Affiliation(s)
- Golareh Agha
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, NY, NY 10032, USA
| | - Michael M. Mendelson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, NIH, Bethesda, MD 20892, USA; Framingham Heart Study, Framingham, MA 01702, USA; Department of Cardiology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Cavin K. Ward-Caviness
- National Health and Environmental Effects Research Laboratory, Environmental Public Health Division, Chapel Hill NC 27514, USA; Institute of Epidemiology II, Helmholtz Institute, Ingolstaedter Landstrasse 1, Neuherberg, Germany 85764
| | - Roby Joehanes
- National Heart, Lung and Blood Institute, Bethesda, MD 20824-0105, USA; Hebrew SeniorLife, Harvard Medical School, Boston, MA 02115, USA
| | - TianXiao Huan
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung and Blood Institute, Bethesda, MD 20892, USA
| | - Rahul Gondalia
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Elias Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Turin, Italy
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Brian H. Chen
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21250, USA
| | - Symen Ligthart
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Turin, Italy
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Simone Wahl
- Research Unit Molecualr Epidemiology, Helmholtz Zentrum München, 1 InglastaedterLandstrasse 1 85764, München, Germany
| | - Christian Gieger
- Research Unit Molecualr Epidemiology, Helmholtz Zentrum München, 1 InglastaedterLandstrasse 1 85764, München, Germany
| | - Amy R. Vandiver
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, MD 21250, USA
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Luke C. Pilling
- Epidemiology and Public Health Group, University of Exeter Medical School, Barrack Road, Exeter, EX2 5DW, UK
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital and Center for Cancer Prevention (CPO), Turin, Italy
| | - Vittorio Krogh
- Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Dipartimento di Medicina Clinica e Chirurgia, Federico II University, Naples, Italy
| | - Rosario Tumino
- Cancer Registry And Histopathology Department, “Civic- M.P. Arezzo2 Hospital, Asp Ragusa, Italy
| | - Yun Li
- Department of Genetics, Department of Biostatistics, Department of Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA
| | - Guosheng Zhang
- Curriculum in Bioinformatics and Computational Biology, and Department of Genetics, and Department of Statistics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - James D. Stewart
- Carolina Population Center and Department of Epidemiology, University of North Carolina at Chapel Hill, NC 27514, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, LABioMed at Harbor-UCLA Medical Center, Torrance, CA 90502, USA
| | - Michael Multhaup
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Kelly Bakulski
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Steven Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Philip S. Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | | | - Pantel Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Joel Hirschhorn
- Department of Medicine, Division of Endocrinology, Boston Children’s Hospital, Boston, MA 02115, USA; Departments of Medicine and Pediatrics, Harvard Medical School, Boston, MA 02115, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA
| | | | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
| | - Abbas Dehghan
- Department of Epidemiology and Biostatistics, MRC–PHE Centre for Environment & Health, School of 346 Public Health, Imperial College London, UK
| | - Joel D. Schwartz
- Department of Epidemiology, and Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, United States
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA 98195, USA; Kaier Permanente Washington Health Research Institute, Seattle, WA 98195, USA
| | - Andrew P. Feinberg
- Departments of Medicine, Biomedical Engineering and Mental Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Lifang Hou
- Center for Population Epigenetics, Robert H. Lurie Comprehensive Cancer Center and Department of Preventive Medicine, Northwestern University , Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Luigi Ferrucci
- Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA
| | - Nona Sotoodehnia
- Division of Cardiology, Departments of Medicine and Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, WA 98101, USA
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM/HuGeF) and Department of Medical Sciences, University of Turin, Turin, Italy
| | - Annette Peters
- Helmholtz Zentrum München, Institute of Epidemiology, Neuherberg, Germany; German Research Center for Cardiovascular Disease (DzHK e.V. - partner site Munich), Munich, Germany; Ludwig-Maximilians University, Institute for Biometry, Medical Information Science and Epidemiology, Munich, Germany
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine McGovern Medical School, and Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Themistocles L. Assimes
- Department of Medicine (Cardiovascular Medicine), and Department of Health Research & Policy, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Eric A. Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, and Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA 01702, USA; Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD 20892, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, NY, NY 10032, USA
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Dhingra R, Kwee LC, Diaz-Sanchez D, Devlin RB, Cascio W, Hauser ER, Gregory S, Shah S, Kraus WE, Olden K, Ward-Caviness CK. Evaluating DNA methylation age on the Illumina MethylationEPIC Bead Chip. PLoS One 2019; 14:e0207834. [PMID: 31002714 PMCID: PMC6474589 DOI: 10.1371/journal.pone.0207834] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 03/29/2019] [Indexed: 01/12/2023] Open
Abstract
DNA methylation age (DNAm age) has become a widely utilized epigenetic biomarker for the aging process. The Horvath method for determining DNAm age is perhaps the most widely utilized and validated DNA methylation age assessment measure. Horvath DNAm age is calculated based on methylation measurements at 353 loci, present on Illumina's 450k and 27k DNA methylation microarrays. With increasing use of the more recently developed Illumina MethylationEPIC (850k) microarray, it is worth revisiting this aging measure to evaluate estimation differences due to array design. Of the requisite 353 loci, 17 are missing from the 850k microarray. Similarly, an alternate, 71 loci DNA methylation age assessment measure created by Hannum et al. is missing 6 requisite loci. Using 17 datasets with 27k, 450k, and/or 850k methylation data, we compared each sample's epigenetic age estimated from all 353 loci required by the Horvath DNAm age calculator, and using only the 336 loci available on the 850k array. In 450k/27k data, removing loci not on the 850k array resulted in underestimation of Horvath's DNAm age. Underestimation of Horvath DNAm age increased from ages 0 to ~20, remaining stable thereafter (mean deviation = -3.46 y, SD = 1.13 for individuals ≥20 years). Underestimation of Horvath's DNAm age by the reduced 450k/27k data was similar to the underestimation observed in the 850k data indicating it is driven by missing probes. In analogous examination of Hannum's DNAm age, the magnitude and direction of epigenetic age misestimation varied with chronological age. In conclusion, inter-array deviations in DNAm age estimations may be largely driven by missing probes between arrays, despite default probe imputation procedures. Though correlations and associations based on Horvath's DNAm age may be unaffected, researchers should exercise caution when interpreting results based on absolute differences in DNAm age or when mixing samples assayed on different arrays.
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Affiliation(s)
- Radhika Dhingra
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
- Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina, Chapel Hill, NC, United States of America
- Institute for Environmental Health Solutions, University of North Carolina, Chapel Hill, NC United States of America
- * E-mail:
| | - Lydia Coulter Kwee
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America
| | - David Diaz-Sanchez
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Robert B. Devlin
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Wayne Cascio
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America
- Department of Biostatistics and Bioinformatics, Duke University Medical Center, Durham, NC, United States of America
- Cooperative Studies Program Epidemiology Center, Durham Veterans Affairs Medical Center, Durham, NC, United States of America
| | - Simon Gregory
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America
| | - Svati Shah
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America
- Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, United States of America
| | - William E. Kraus
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, United States of America
- Division of Cardiology, Department of Medicine, School of Medicine, Duke University, Durham, NC, United States of America
| | - Kenneth Olden
- National Center for Environmental Assessment, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Cavin K. Ward-Caviness
- National Health and Environmental Effects Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
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35
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Ward-Caviness CK. A review of gene-by-air pollution interactions for cardiovascular disease, risk factors, and biomarkers. Hum Genet 2019; 138:547-561. [DOI: 10.1007/s00439-019-02004-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 03/22/2019] [Indexed: 02/07/2023]
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36
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de Vries PS, Sabater-Lleal M, Huffman JE, Marten J, Song C, Pankratz N, Bartz TM, de Haan HG, Delgado GE, Eicher JD, Martinez-Perez A, Ward-Caviness CK, Brody JA, Chen MH, de Maat MPM, Frånberg M, Gill D, Kleber ME, Rivadeneira F, Soria JM, Tang W, Tofler GH, Uitterlinden AG, van Hylckama Vlieg A, Seshadri S, Boerwinkle E, Davies NM, Giese AK, Ikram MK, Kittner SJ, McKnight B, Psaty BM, Reiner AP, Sargurupremraj M, Taylor KD, Fornage M, Hamsten A, März W, Rosendaal FR, Souto JC, Dehghan A, Johnson AD, Morrison AC, O'Donnell CJ, Smith NL. A genome-wide association study identifies new loci for factor VII and implicates factor VII in ischemic stroke etiology. Blood 2019; 133:967-977. [PMID: 30642921 PMCID: PMC6396174 DOI: 10.1182/blood-2018-05-849240] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2018] [Accepted: 12/06/2018] [Indexed: 02/07/2023] Open
Abstract
Factor VII (FVII) is an important component of the coagulation cascade. Few genetic loci regulating FVII activity and/or levels have been discovered to date. We conducted a meta-analysis of 9 genome-wide association studies of plasma FVII levels (7 FVII activity and 2 FVII antigen) among 27 495 participants of European and African ancestry. Each study performed ancestry-specific association analyses. Inverse variance weighted meta-analysis was performed within each ancestry group and then combined for a trans-ancestry meta-analysis. Our primary analysis included the 7 studies that measured FVII activity, and a secondary analysis included all 9 studies. We provided functional genomic validation for newly identified significant loci by silencing candidate genes in a human liver cell line (HuH7) using small-interfering RNA and then measuring F7 messenger RNA and FVII protein expression. Lastly, we used meta-analysis results to perform Mendelian randomization analysis to estimate the causal effect of FVII activity on coronary artery disease, ischemic stroke (IS), and venous thromboembolism. We identified 2 novel (REEP3 and JAZF1-AS1) and 6 known loci associated with FVII activity, explaining 19.0% of the phenotypic variance. Adding FVII antigen data to the meta-analysis did not result in the discovery of further loci. Silencing REEP3 in HuH7 cells upregulated FVII, whereas silencing JAZF1 downregulated FVII. Mendelian randomization analyses suggest that FVII activity has a positive causal effect on the risk of IS. Variants at REEP3 and JAZF1 contribute to FVII activity by regulating F7 expression levels. FVII activity appears to contribute to the etiology of IS in the general population.
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Affiliation(s)
- Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Maria Sabater-Lleal
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer E Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
- Center for Population Genomics, Veterans Affairs (VA) Boston Healthcare System, Jamaica Plain, MA
| | - Jonathan Marten
- Medical Research Council (MRC) Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom
| | - Ci Song
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
- Department of Medical Sciences and
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Traci M Bartz
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Hugoline G de Haan
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - John D Eicher
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Angel Martinez-Perez
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Cavin K Ward-Caviness
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC
| | | | - Ming-Huei Chen
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Moniek P M de Maat
- Department of Hematology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Mattias Frånberg
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Dipender Gill
- Department of Epidemiology and Biostatistics and
- Department of Stroke Medicine, Imperial College London, London, United Kingdom
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Institute of Nutrition, Friedrich Schiller University Jena, Mannheim, Germany
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - José Manuel Soria
- Unit of Genomics of Complex Diseases, Institut d'Investigació Biomèdica Sant Pau (IIB-Sant Pau), Barcelona, Spain
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | | | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | | | - Sudha Seshadri
- The Framingham Heart Study, Framingham, MA
- Department of Neurology, Boston University, Boston, MA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center, San Antonio, TX
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Human Genome Sequencing Center, College of Medicine, Baylor University, Houston, TX
| | - Neil M Davies
- MRC Integrative Epidemiology Unit, Bristol Medical School, University of Bristol, Bristol, United Kingdom
| | - Anne-Katrin Giese
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA
| | - M Kamran Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Steven J Kittner
- Department of Neurology, School of Medicine, University of Maryland, Baltimore, MD
- Baltimore VA Medical Center, Baltimore, MD
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Bruce M Psaty
- Department of Medicine
- Department of Epidemiology, and
- Department of Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Alex P Reiner
- Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
| | | | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Brown Foundation Institute of Molecular Medicine, The University of Texas Health Science Center at Houston, Houston, TX
| | - Anders Hamsten
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University Graz, Graz, Austria
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Einthoven Laboratory of Experimental Vascular Medicine, Leiden University Medical Center, Leiden, The Netherlands
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, The Netherlands
| | - Juan Carlos Souto
- Unitat d'Hemostasia i Trombosi, Hospital de la Sant Creu i Sant Pau, Barcelona, Spain
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Epidemiology and Biostatistics and
- MRC-Public Health England Centre for Environment and Health, School of Public Health and
- UK Dementia Research Institute, Imperial College London, London, United Kingdom
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Christopher J O'Donnell
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- Cardiology Section, VA Boston Healthcare System, West Roxbury, MA; and
| | - Nicholas L Smith
- Kaiser Permanente Washington Research Institute, Kaiser Permanente Washington, Seattle, WA
- Department of Epidemiology, University of Washington, Seattle, WA
- Seattle Epidemiologic Research and Information Center, Office of Research and Development, Department of Veteran Affairs, Seattle, WA
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37
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Ward-Caviness CK, de Vries PS, Wiggins KL, Huffman JE, Yanek LR, Bielak LF, Giulianini F, Guo X, Kleber ME, Kacprowski T, Groß S, Petersman A, Davey Smith G, Hartwig FP, Bowden J, Hemani G, Müller-Nuraysid M, Strauch K, Koenig W, Waldenberger M, Meitinger T, Pankratz N, Boerwinkle E, Tang W, Fu YP, Johnson AD, Song C, de Maat MPM, Uitterlinden AG, Franco OH, Brody JA, McKnight B, Chen YDI, Psaty BM, Mathias RA, Becker DM, Peyser PA, Smith JA, Bielinski SJ, Ridker PM, Taylor KD, Yao J, Tracy R, Delgado G, Trompet S, Sattar N, Jukema JW, Becker LC, Kardia SLR, Rotter JI, März W, Dörr M, Chasman DI, Dehghan A, O’Donnell CJ, Smith NL, Peters A, Morrison AC. Mendelian randomization evaluation of causal effects of fibrinogen on incident coronary heart disease. PLoS One 2019; 14:e0216222. [PMID: 31075152 PMCID: PMC6510421 DOI: 10.1371/journal.pone.0216222] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 04/16/2019] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Fibrinogen is an essential hemostatic factor and cardiovascular disease risk factor. Early attempts at evaluating the causal effect of fibrinogen on coronary heart disease (CHD) and myocardial infraction (MI) using Mendelian randomization (MR) used single variant approaches, and did not take advantage of recent genome-wide association studies (GWAS) or multi-variant, pleiotropy robust MR methodologies. METHODS AND FINDINGS We evaluated evidence for a causal effect of fibrinogen on both CHD and MI using MR. We used both an allele score approach and pleiotropy robust MR models. The allele score was composed of 38 fibrinogen-associated variants from recent GWAS. Initial analyses using the allele score used a meta-analysis of 11 European-ancestry prospective cohorts, free of CHD and MI at baseline, to examine incidence CHD and MI. We also applied 2 sample MR methods with data from a prevalent CHD and MI GWAS. Results are given in terms of the hazard ratio (HR) or odds ratio (OR), depending on the study design, and associated 95% confidence interval (CI). In single variant analyses no causal effect of fibrinogen on CHD or MI was observed. In multi-variant analyses using incidence CHD cases and the allele score approach, the estimated causal effect (HR) of a 1 g/L higher fibrinogen concentration was 1.62 (CI = 1.12, 2.36) when using incident cases and the allele score approach. In 2 sample MR analyses that accounted for pleiotropy, the causal estimate (OR) was reduced to 1.18 (CI = 0.98, 1.42) and 1.09 (CI = 0.89, 1.33) in the 2 most precise (smallest CI) models, out of 4 models evaluated. In the 2 sample MR analyses for MI, there was only very weak evidence of a causal effect in only 1 out of 4 models. CONCLUSIONS A small causal effect of fibrinogen on CHD is observed using multi-variant MR approaches which account for pleiotropy, but not single variant MR approaches. Taken together, results indicate that even with large sample sizes and multi-variant approaches MR analyses still cannot exclude the null when estimating the causal effect of fibrinogen on CHD, but that any potential causal effect is likely to be much smaller than observed in epidemiological studies.
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Affiliation(s)
- Cavin K. Ward-Caviness
- Epidemiology II, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- * E-mail:
| | - Paul S. de Vries
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, United States of America
| | - Kerri L. Wiggins
- Department of Medicine, University of Washington, Health Sciences Bldg, Seattle, Washington, United States of America
| | - Jennifer E. Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, United States of America
- The Framingham Heart Study, Framingham, MA, United States of America
| | - Lisa R. Yanek
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Broadway, Baltimore, MD, United States of America
| | - Lawrence F. Bielak
- Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Franco Giulianini
- Division of Preventative Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Marcus E. Kleber
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
- Institute of Nutrition, Friedrich-Schiller University Jena, Jena, Germany
| | - Tim Kacprowski
- Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine and Ernst-Moritz-Arndt University Greifswald, Griefswald, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Research Group Computational Systems Medicine, Chair of Experimental Bioinformatics, TUM School of Life Sciences, Technical University of Munich, Freising-Weihenstephan, Germany
| | - Stefan Groß
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald, Germany
| | - Astrid Petersman
- Institute of Clinical Chemistry and Laboratory Medicine, University of Medicine Griefswald, Ferdinand-Sauerbruch-Straße, Greifswald, Germany
| | - George Davey Smith
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Fernando P. Hartwig
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Postgraduate Program in Epidemiology, Federal University of Pelotas, Pelotas, Brazil
| | - Jack Bowden
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Gibran Hemani
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
| | - Martina Müller-Nuraysid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
| | - Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Department of Medicine I, University Hospital Grosshadern, Ludwig-Maximilians-Universität, Munich, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Genetic Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
| | - Wolfgang Koenig
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Department of Internal Medicine II, University of Ulm Medical Center, Ulm, Germany
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
| | - Melanie Waldenberger
- Epidemiology II, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
| | - Thomas Meitinger
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Human Genetics, Technische Universität München, Munich, Germany
| | - Nathan Pankratz
- University of Minnesota School of Medicine, Minneapolis, MN, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, United States of America
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, United States of America
| | - Weihong Tang
- University of Minnesota School of Public Health, Minneapolis, MN, United States of America
| | - Yi-Ping Fu
- Office of Biostatistics Research, Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States of America
| | - Andrew D. Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, United States of America
- The Framingham Heart Study, Framingham, MA, United States of America
| | - Ci Song
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, United States of America
- The Framingham Heart Study, Framingham, MA, United States of America
| | - Moniek P. M. de Maat
- Department of Hematology, Erasmus University Medical Center, Rotterdam, CND, Netherlands
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, CN, Netherlands
| | - Oscar H. Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Jennifer A. Brody
- Department of Medicine, University of Washington, Health Sciences Bldg, Seattle, Washington, United States of America
| | - Barbara McKnight
- Department of Biostatistics, University of Washington, Health Sciences Bldg, Seattle, WA, United States of America
| | - Yii-Der Ida Chen
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Bruce M. Psaty
- Department of Medicine, University of Washington, Health Sciences Bldg, Seattle, Washington, United States of America
- Department of Epidemiology, University of Washington, Health Sciences Bldg, Seattle, WA, United States of America
- Department of Health Services, University of Washington, Health Sciences Bldg, Seattle, WA, United States of America
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, United States of America
| | - Rasika A. Mathias
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Broadway, Baltimore, MD, United States of America
- Division of Allergy and Clinical Immunology, Department of Medicine, Johns Hopkins University School of Medicine, N. Broadway, Baltimore, MD, United States of America
| | - Diane M. Becker
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Broadway, Baltimore, MD, United States of America
| | - Patricia A. Peyser
- Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jennifer A. Smith
- Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Suzette J. Bielinski
- Department of Epidemiology, Mayo Clinic, Rochester, MN, United States of America
| | - Paul M. Ridker
- Division of Preventative Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Kent D. Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Jie Yao
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Russell Tracy
- Pathology and Laboratory Medicine, The University of Vermont College of Medicine, Col Research Facility, Burlington, VT, United States of America
| | - Graciela Delgado
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
| | - Stella Trompet
- Department of Hematology, Erasmus University Medical Center, Rotterdam, CND, Netherlands
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, Netherlands
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, Faculty of Medicine, Glasgow, United Kingdom
| | - J. Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, Netherlands
| | - Lewis C. Becker
- GeneSTAR Research Program, Division of General Internal Medicine, Department of Medicine, Johns Hopkins University School of Medicine, Broadway, Baltimore, MD, United States of America
- Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, N. Broadway, Baltimore, MD, United States of America
| | - Sharon L. R. Kardia
- Epidemiology, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Winfried März
- Vth Department of Medicine (Nephrology, Hypertensiology, Endocrinology, Diabetology, Rheumatology), Medical Faculty of Mannheim, University of Heidelberg, Mannheim, Germany
- Synlab Academy, Synlab Holding Deutschland GmbH, Mannheim, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Marcus Dörr
- DZHK (German Centre for Cardiovascular Research), partner site Greifswald, Greifswald, Germany
- Department of Internal Medicine B, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, Greifswald, Germany
| | - Daniel I. Chasman
- Division of Preventative Medicine, Brigham and Women’s Hospital, Boston, MA, United States of America
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Epidemiology and Biostatistics, Imperial College London, Norfolk Place, London, United Kingdom
| | - Christopher J. O’Donnell
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, United States of America
- Cardiology Section Administration, Boston VA Healthcare System, West Roxbury, MA, United States of America
| | - Nicholas L. Smith
- Department of Epidemiology, University of Washington, Health Sciences Bldg, Seattle, WA, United States of America
- Group Health Research Institute, Group Health Cooperative, Seattle, WA, United States of America
- Seattle Epidemiologic Research and Information Center, Department of Veteran Affairs Office of Research and Development, Columbian Way, Seattle, WA, United States of America
| | - Annette Peters
- Epidemiology II, Helmholtz Zentrum München—German Research Center for Environmental Health, Neuherberg, Germany
- DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Alanna C. Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, United States of America
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38
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Ward-Caviness CK, Huffman JE, Everett K, Germain M, van Dongen J, Hill WD, Jhun MA, Brody JA, Ghanbari M, Du L, Roetker NS, de Vries PS, Waldenberger M, Gieger C, Wolf P, Prokisch H, Koenig W, O'Donnell CJ, Levy D, Liu C, Truong V, Wells PS, Trégouët DA, Tang W, Morrison AC, Boerwinkle E, Wiggins KL, McKnight B, Guo X, Psaty BM, Sotoodenia N, Boomsma DI, Willemsen G, Ligthart L, Deary IJ, Zhao W, Ware EB, Kardia SLR, Van Meurs JBJ, Uitterlinden AG, Franco OH, Eriksson P, Franco-Cereceda A, Pankow JS, Johnson AD, Gagnon F, Morange PE, de Geus EJC, Starr JM, Smith JA, Dehghan A, Björck HM, Smith NL, Peters A. DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 2018; 132:1842-1850. [PMID: 30042098 PMCID: PMC6202911 DOI: 10.1182/blood-2018-02-831347] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 07/01/2018] [Indexed: 01/25/2023] Open
Abstract
Many hemostatic factors are associated with age and age-related diseases; however, much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we performed European and African ancestry-specific meta-analyses which were then combined via a random effects meta-analysis. For all other measures we could not estimate ancestry-specific effects and used a single fixed effects meta-analysis. We found that 1-year higher extrinsic epigenetic age as compared with chronological age was associated with higher fibrinogen (0.004 g/L/y; 95% confidence interval, 0.001-0.007; P = .01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL/y; 95% confidence interval, 0.07-0.20; P = 6.6 × 10-5) concentrations, as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms, we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the 3 fibrinogen subunit-encoding genes (FGA, FGG, and FGB) in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a procoagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.
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Affiliation(s)
- Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Center of Munich, Neuherberg, Germany
- Environmental Public Health Division, National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC
| | - Jennifer E Huffman
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
- Center for Population Genomics, Boston VA Healthcare System, Jamaica Plain, MA
| | - Karl Everett
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Marine Germain
- Sorbonne Universités, UPMC University Paris 06, INSERM UMR_S 1166, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Jenny van Dongen
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - W David Hill
- Centre for Cognitive Ageing and Cognitive Epidemiology and
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Min A Jhun
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
- Department of Genetics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Lei Du
- Cardiovascular Medicine Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Nicholas S Roetker
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Center of Munich, Neuherberg, Germany
- Research Unit of Molecular Epidemiology and
| | | | - Petra Wolf
- Institue of Human Genetics, Helmholtz Center of Munich, Neuherberg, Germany
| | - Holger Prokisch
- Institue of Human Genetics, Helmholtz Center of Munich, Neuherberg, Germany
- Institute fur Humangenetik, Technische Univeritat Munchen, Munich, Germany
| | - Wolfgang Koenig
- Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- German Centre for Cardiovascular Research, Munich Heart Alliance, Munich, Germany
| | - Christopher J O'Donnell
- The Framingham Heart Study, Framingham, MA
- Cardiology Section Administration, Boston VA Healthcare System, West Roxbury, MA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Chunyu Liu
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Vinh Truong
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Philip S Wells
- Department of Medicine, University of Ottawa and Ottawa Hospital Research Institute, Ottawa, Canada
| | - David-Alexandre Trégouët
- Sorbonne Universités, UPMC University Paris 06, INSERM UMR_S 1166, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Weihong Tang
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Barbara McKnight
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Xiuqing Guo
- Department of Pediatrics, LABioMed at Harbor-UCLA Medical Center, Torrence, CA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
- Department of Epidemiology and
- Department of Health Services, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Nona Sotoodenia
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
- Division of Cardiology, University of Washington, Seattle, WA
| | - Dorret I Boomsma
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gonneke Willemsen
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lannie Ligthart
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology and
- Department of Psychology, University of Edinburgh, Edinburgh, United Kingdom
| | - Wei Zhao
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
| | - Erin B Ware
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | | | - Joyce B J Van Meurs
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Andre G Uitterlinden
- Department of Internal Medicine, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Per Eriksson
- Cardiovascular Medicine Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Anders Franco-Cereceda
- Cardiothoracic Surgery Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - James S Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - France Gagnon
- Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Pierre-Emmanuel Morange
- Laboratory of Hematology, La Timone Hospital, Marseille, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Center for CardioVascular and Nutrition Research, Aix-Marseille University, Marseille, France
| | - Eco J C de Geus
- Biological Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, VU Medical Center, Amsterdam, The Netherlands
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology and
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, United Kingdom; and
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan, Ann Arbor, MI
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Hanna M Björck
- Cardiovascular Medicine Unit, Center for Molecular Medicine, Department of Medicine, Karolinska Institutet, Karolinska University Hospital Solna, Stockholm, Sweden
| | - Nicholas L Smith
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA
- Department of Epidemiology and
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
- Seattle Epidemiologic Research and Information Center, Office of Research and Development, Department of Veterans Affairs, Seattle, WA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Center of Munich, Neuherberg, Germany
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39
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Luijk R, Wu H, Ward-Caviness CK, Hannon E, Carnero-Montoro E, Min JL, Mandaviya P, Müller-Nurasyid M, Mei H, van der Maarel SM, Relton C, Mill J, Waldenberger M, Bell JT, Jansen R, Zhernakova A, Franke L, 't Hoen PAC, Boomsma DI, van Duijn CM, van Greevenbroek MMJ, Veldink JH, Wijmenga C, van Meurs J, Daxinger L, Slagboom PE, van Zwet EW, Heijmans BT. Autosomal genetic variation is associated with DNA methylation in regions variably escaping X-chromosome inactivation. Nat Commun 2018; 9:3738. [PMID: 30218040 PMCID: PMC6138682 DOI: 10.1038/s41467-018-05714-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Accepted: 07/23/2018] [Indexed: 12/28/2022] Open
Abstract
X-chromosome inactivation (XCI), i.e., the inactivation of one of the female X chromosomes, restores equal expression of X-chromosomal genes between females and males. However, ~10% of genes show variable degrees of escape from XCI between females, although little is known about the causes of variable XCI. Using a discovery data-set of 1867 females and 1398 males and a replication sample of 3351 females, we show that genetic variation at three autosomal loci is associated with female-specific changes in X-chromosome methylation. Through cis-eQTL expression analysis, we map these loci to the genes SMCHD1/METTL4, TRIM6/HBG2, and ZSCAN9. Low-expression alleles of the loci are predominantly associated with mild hypomethylation of CpG islands near genes known to variably escape XCI, implicating the autosomal genes in variable XCI. Together, these results suggest a genetic basis for variable escape from XCI and highlight the potential of a population genomics approach to identify genes involved in XCI.
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Affiliation(s)
- René Luijk
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Haoyu Wu
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, 85764, Oberschleißheim, Germany
| | - Eilis Hannon
- University of Exeter Medical School, Exeter, EX4 4QD, UK
| | - Elena Carnero-Montoro
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
- Pfizer - University of Granada - Andalusian Government Center for Genomics and Oncological Research (GENYO), Granada, 18016, Spain
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 1TH, UK
- Bristol Medical School, University of Bristol, Bristol, BS8 1UD, UK
| | - Pooja Mandaviya
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands
- Department of Clinical Chemistry, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands
| | - Martina Müller-Nurasyid
- DZHK (German Centre for Cardiovascular Research), partner site: Munich Heart Alliance, Munich, 80802, Germany
- Institute of Genetic Epidemiology, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, D-85764, Germany
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilians-University, Munich, 80336, Germany
| | - Hailiang Mei
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Silvere M van der Maarel
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, BS8 1TH, UK
| | - Jonathan Mill
- University of Exeter Medical School, Exeter, EX4 4QD, UK
| | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, 85764, Oberschleißheim, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, D-85764, Germany
| | - Jordana T Bell
- Department of Twin Research & Genetic Epidemiology, King's College London, London, SE1 7EH, UK
| | - Rick Jansen
- Department of Psychiatry, VU University Medical Center, Neuroscience Campus Amsterdam, Amsterdam, 1081 HV, The Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands
| | - Lude Franke
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands
| | - Peter A C 't Hoen
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Dorret I Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam, Neuroscience Campus Amsterdam, Amsterdam, 1081 TB, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Genetic Epidemiology Unit, ErasmusMC, Rotterdam, 3015 GE, The Netherlands
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University Medical Center, Maastricht, 6211 LK, The Netherlands
- School for Cardiovascular Diseases (CARIM), Maastricht University Medical Center, Maastricht, 6229 ER, The Netherlands
| | - Jan H Veldink
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, 3584 CG, The Netherlands
| | - Cisca Wijmenga
- Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, 9713 AV, The Netherlands
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CE, The Netherlands
| | - Lucia Daxinger
- Department of Human Genetics, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Erik W van Zwet
- Medical Statistics, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands
| | - Bastiaan T Heijmans
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, 2333 ZC, The Netherlands.
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40
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Ward-Caviness CK, Nwanaji-Enwerem JC, Wolf K, Wahl S, Colicino E, Trevisi L, Kloog I, Just AC, Vokonas P, Cyrys J, Gieger C, Schwartz J, Baccarelli AA, Schneider A, Peters A. Long-term exposure to air pollution is associated with biological aging. Oncotarget 2018; 7:74510-74525. [PMID: 27793020 PMCID: PMC5342683 DOI: 10.18632/oncotarget.12903] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Accepted: 10/13/2016] [Indexed: 11/28/2022] Open
Abstract
Long-term exposure to air pollution is associated with age-related diseases. We explored the association between accelerated biological aging and air pollution, a potential mechanism linking air pollution and health. We estimated long-term exposure to PM10, PM2.5, PM2.5 absorbance/black carbon (BC), and NOx via land-use regression models in individuals from the KORA F4 cohort. Accelerated biological aging was assessed using telomere length (TeloAA) and three epigenetic measures: DNA methylation age acceleration (DNAmAA), extrinsic epigenetic age acceleration (correlated with immune cell counts, EEAA), and intrinsic epigenetic age acceleration (independent of immune cell counts, IEAA). We also investigated sex-specific associations between air pollution and biological aging, given the published association between sex and aging measures. In KORA an interquartile range (0.97 μg/m3) increase in PM2.5 was associated with a 0.33 y increase in EEAA (CI = 0.01, 0.64; P = 0.04). BC and NOx (indicators or traffic exposure) were associated with DNAmAA and IEAA in women, while TeloAA was inversely associated with BC in men. We replicated this inverse BC-TeloAA association in the Normative Aging Study, a male cohort based in the USA. A multiple phenotype analysis in KORA F4 combining all aging measures showed that BC and PM10 were broadly associated with biological aging in men. Thus, we conclude that long-term exposure to air pollution is associated with biological aging measures, potentially in a sex-specific manner. However, many of the associations were relatively weak and further replication of overall and sex-specific associations is warranted.
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Affiliation(s)
- Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | | | - Kathrin Wolf
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | - Simone Wahl
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany.,Research Unit Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | - Elena Colicino
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Letizia Trevisi
- Department of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beer Sheva, Israel
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Pantel Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System and the Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Josef Cyrys
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | - Christian Gieger
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany.,Research Unit Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Alexandra Schneider
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Bavaria, Germany
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41
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de F C Lichtenfels AJ, van der Plaat DA, de Jong K, van Diemen CC, Postma DS, Nedeljkovic I, van Duijn CM, Amin N, la Bastide-van Gemert S, de Vries M, Ward-Caviness CK, Wolf K, Waldenberger M, Peters A, Stolk RP, Brunekreef B, Boezen HM, Vonk JM. Long-term Air Pollution Exposure, Genome-wide DNA Methylation and Lung Function in the LifeLines Cohort Study. Environ Health Perspect 2018; 126:027004. [PMID: 29410382 PMCID: PMC6047358 DOI: 10.1289/ehp2045] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 12/13/2017] [Accepted: 12/13/2017] [Indexed: 05/17/2023]
Abstract
BACKGROUND Long-term air pollution exposure is negatively associated with lung function, yet the mechanisms underlying this association are not fully clear. Differential DNA methylation may explain this association. OBJECTIVES Our main aim was to study the association between long-term air pollution exposure and DNA methylation. METHODS We performed a genome-wide methylation study using robust linear regression models in 1,017 subjects from the LifeLines cohort study to analyze the association between exposure to nitrogen dioxide (NO2) and particulate matter (PM2.5, fine particulate matter with aerodynamic diameter ≤2.5 μm; PM10, particulate matter with aerodynamic diameter ≤10 μm) and PM2.5absorbance, indicator of elemental carbon content (estimated with land-use-regression models) with DNA methylation in whole blood (Illumina® HumanMethylation450K BeadChip). Replication of the top hits was attempted in two independent samples from the population-based Cooperative Health Research in the Region of Augsburg studies (KORA). RESULTS Depending on the p-value threshold used, we found significant associations between NO2 exposure and DNA methylation for seven CpG sites (Bonferroni corrected threshold p<1.19×10-7) or for 4,980 CpG sites (False Discovery Rate<0.05). The top associated CpG site was annotated to the PSMB9 gene (i.e., cg04908668). None of the seven Bonferroni significant CpG-sites were significantly replicated in the two KORA-cohorts. No associations were found for PM exposure. CONCLUSIONS Long-term NO2 exposure was genome-wide significantly associated with DNA methylation in the identification cohort but not in the replication cohort. Future studies are needed to further elucidate the potential mechanisms underlying NO2-exposure-related respiratory disease. https://doi.org/10.1289/EHP2045.
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Affiliation(s)
- Ana Julia de F C Lichtenfels
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Diana A van der Plaat
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Kim de Jong
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Cleo C van Diemen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Dirkje S Postma
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen , Netherlands
| | - Ivana Nedeljkovic
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Sacha la Bastide-van Gemert
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Maaike de Vries
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
- Environmental Public Health Division, U.S. Environmental Protection Agency , Chapel Hill, North Carolina, USA
| | - Kathrin Wolf
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
| | | | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
| | - Ronald P Stolk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences , Utrecht University, Utrecht, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht , Netherlands
| | - H Marike Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Judith M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
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Ward-Caviness CK, Kraus WE, Blach C, Haynes CS, Dowdy E, Miranda ML, Devlin R, Diaz-Sanchez D, Cascio WE, Mukerjee S, Stallings C, Smith LA, Gregory SG, Shah SH, Neas LM, Hauser ER. Associations Between Residential Proximity to Traffic and Vascular Disease in a Cardiac Catheterization Cohort. Arterioscler Thromb Vasc Biol 2017; 38:275-282. [PMID: 29191927 DOI: 10.1161/atvbaha.117.310003] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 10/10/2017] [Indexed: 12/24/2022]
Abstract
OBJECTIVE Exposure to mobile source emissions is nearly ubiquitous in developed nations and is associated with multiple adverse health outcomes. There is an ongoing need to understand the specificity of traffic exposure associations with vascular outcomes, particularly in individuals with cardiovascular disease. APPROACH AND RESULTS We performed a cross-sectional study using 2124 individuals residing in North Carolina, United States, who received a cardiac catheterization at the Duke University Medical Center. Traffic-related exposure was assessed via 2 metrics: (1) the distance between the primary residence and the nearest major roadway; and (2) location of the primary residence in regions defined based on local traffic patterns. We examined 4 cardiovascular disease outcomes: hypertension, peripheral arterial disease, the number of diseased coronary vessels, and recent myocardial infarction. Statistical models were adjusted for race, sex, smoking, type 2 diabetes mellitus, body mass index, hyperlipidemia, and home value. Results are expressed in terms of the odds ratio (OR). A 23% decrease in residential distance to major roadways was associated with higher prevalence of peripheral arterial disease (OR=1.29; 95% confidence interval, 1.08-1.55) and hypertension (OR=1.15; 95% confidence interval, 1.01-1.31). Associations with peripheral arterial disease were strongest in men (OR=1.42; 95% confidence interval, 1.17-1.74) while associations with hypertension were strongest in women (OR=1.21; 95% confidence interval, 0.99-1.49). Neither myocardial infarction nor the number of diseased coronary vessels were associated with traffic exposure. CONCLUSIONS Traffic-related exposure is associated with peripheral arterial disease and hypertension while no associations are observed for 2 coronary-specific vascular outcomes.
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Affiliation(s)
- Cavin K Ward-Caviness
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.).
| | - William E Kraus
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Colette Blach
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Carol S Haynes
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Elaine Dowdy
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Marie Lynn Miranda
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Robert Devlin
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - David Diaz-Sanchez
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Wayne E Cascio
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Shaibal Mukerjee
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Casson Stallings
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Luther A Smith
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Simon G Gregory
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Svati H Shah
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Lucas M Neas
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
| | - Elizabeth R Hauser
- From the National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC (C.K.W.-C., R.D., D.D.-S., W.E.C., L.M.N.); Duke Molecular Physiology Institute, Durham, NC (W.E.K., C.B., C.S.H., E.D., S.G.G., S.H.S., E.R.H.); Division of Cardiology, Duke University School of Medicine, Durham, NC (W.E.K., S.H.S.); Department of Statistics, Rice University, Houston, TX (M.L.M.); National Exposure Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC (S.M.); Metabolon, Research Triangle Park, NC (C.S.); Alion Science and Technology, Inc., Research Triangle Park, NC (L.A.S.); and Epidemiologic Research and Information Center, Durham Veterans, Affairs Medical Center, NC (E.R.H.)
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43
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Wilson R, Wahl S, Pfeiffer L, Ward-Caviness CK, Kunze S, Kretschmer A, Reischl E, Peters A, Gieger C, Waldenberger M. The dynamics of smoking-related disturbed methylation: a two time-point study of methylation change in smokers, non-smokers and former smokers. BMC Genomics 2017; 18:805. [PMID: 29047347 PMCID: PMC6389045 DOI: 10.1186/s12864-017-4198-0] [Citation(s) in RCA: 60] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2017] [Accepted: 10/08/2017] [Indexed: 11/25/2022] Open
Abstract
Background The evidence for epigenome-wide associations between smoking and DNA methylation continues to grow through cross-sectional studies. However, few large-scale investigations have explored the associations using observations for individuals at multiple time-points. Here, through the use of the Illumina 450K BeadChip and data collected at two time-points separated by approximately 7 years, we investigate changes in methylation over time associated with quitting smoking or remaining a former smoker, and those associated with continued smoking. Results Our results indicate that after quitting smoking the most rapid reversion of altered methylation occurs within the first two decades, with reversion rates related to the initial differences in methylation. For 52 CpG sites, the change in methylation from baseline to follow-up is significantly different for former smokers relative to the change for never smokers (lowest p-value 3.61 x 10-39 for cg26703534, gene AHRR). Most of these sites’ respective regions have been previously implicated in smoking-associated diseases. Despite the early rapid change, dynamism of methylation appears greater in former smokers vs never smokers even four decades after cessation. Furthermore, our study reveals the heterogeneous effect of continued smoking: the methylation levels of some loci further diverge between smokers and non-smokers, while others re-approach. Though intensity of smoking habit appears more significant than duration, results remain inconclusive. Conclusions This study improves the understanding of the dynamic link between cigarette smoking and methylation, revealing the continued fluctuation of methylation levels decades after smoking cessation and demonstrating that continuing smoking can have an array of effects. The results can facilitate insights into the molecular mechanisms behind smoking-induced disturbed methylation, improving the possibility for development of biomarkers of past smoking behavior and increasing the understanding of the molecular path from exposure to disease. Electronic supplementary material The online version of this article (10.1186/s12864-017-4198-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany. .,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany. .,Helmholtz Zentrum München, Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH), Research Unit Molecular Epidemiology (AME), Ingolstädter Landstr. 1, D-85764, Neuherberg, Germany.
| | - Simone Wahl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Bavaria, Germany
| | - Liliane Pfeiffer
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Environmental Public Health Division, US Environmental Protection Agency, Chapel Hill, NC, 27514, USA
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Anja Kretschmer
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Eva Reischl
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Bavaria, Germany
| | - Christian Gieger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Bavaria, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany.,Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
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44
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Ward-Caviness CK, Xu T, Aspelund T, Thorand B, Montrone C, Meisinger C, Dunger-Kaltenbach I, Zierer A, Yu Z, Helgadottir IR, Harris TB, Launer LJ, Ganna A, Lind L, Eiriksdottir G, Waldenberger M, Prehn C, Suhre K, Illig T, Adamski J, Ruepp A, Koenig W, Gudnason V, Emilsson V, Wang-Sattler R, Peters A. Improvement of myocardial infarction risk prediction via inflammation-associated metabolite biomarkers. Heart 2017; 103:1278-1285. [PMID: 28255100 PMCID: PMC5871235 DOI: 10.1136/heartjnl-2016-310789] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/21/2016] [Revised: 01/30/2017] [Accepted: 02/03/2017] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE The comprehensive assaying of low-molecular-weight compounds, for example, metabolomics, provides a unique tool to uncover novel biomarkers and understand pathways underlying myocardial infarction (MI). We used a targeted metabolomics approach to identify biomarkers for MI and evaluate their involvement in the pathogenesis of MI. METHODS AND RESULTS Using three independent, prospective cohorts (KORA S4, KORA S2 and AGES-REFINE), totalling 2257 participants without a history of MI at baseline, we identified metabolites associated with incident MI (266 cases). We also investigated the association between the metabolites and high-sensitivity C reactive protein (hsCRP) to understand the relation between these metabolites and systemic inflammation. Out of 140 metabolites, 16 were nominally associated (p<0.05) with incident MI in KORA S4. Three metabolites, arginine and two lysophosphatidylcholines (LPC 17:0 and LPC 18:2), were selected as biomarkers via a backward stepwise selection procedure in the KORA S4 and were significant (p<0.0003) in a meta-analysis comprising all three studies including KORA S2 and AGES-REFINE. Furthermore, these three metabolites increased the predictive value of the Framingham risk score, increasing the area under the receiver operating characteristic score in KORA S4 (from 0.70 to 0.78, p=0.001) and AGES-REFINE study (from 0.70 to 0.76, p=0.02), but was not observed in KORA S2. The metabolite biomarkers attenuated the association between hsCRP and MI, indicating a potential link to systemic inflammatory processes. CONCLUSIONS We identified three metabolite biomarkers, which in combination increase the predictive value of the Framingham risk score. The attenuation of the hsCRP-MI association by these three metabolites indicates a potential link to systemic inflammation.
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Affiliation(s)
| | - Tao Xu
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Thor Aspelund
- Icelandic Heart Association, Kopavogur, Iceland
- Centre for Public Health, University of Iceland, Reykjavik, Iceland
| | - Barbara Thorand
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Corinna Montrone
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | | | - Astrid Zierer
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Zhonghao Yu
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | | | | | | | - Andrea Ganna
- Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences and Cardiovascular Epidemiology, Uppsala University, Uppsala, Sweden
| | | | - Melanie Waldenberger
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Cornelia Prehn
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany
| | - Karsten Suhre
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Thomas Illig
- Hannover Unified Biobank, Hannover Medical School, Hannover, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Experimental Genetics, Technische Universität München, München, Germany
| | - Andreas Ruepp
- Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Neuherberg, Germany
- Chair of Experimental Genetics, Technische Universität München, München, Germany
| | - Wolfgang Koenig
- Department of Internal Medicine II, University of Ulm Medical Center, Ulm, Germany
- Deutsches Herzzentrum, Technische Universität München, München, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munchen, Germany
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Valur Emilsson
- Icelandic Heart Association, Kopavogur, Iceland
- Faculty of Pharmaceutical Sciences, University of Iceland, Reykjavik, Iceland
| | - Rui Wang-Sattler
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munchen, Germany
- Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA
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45
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Ward-Caviness CK, Neas LM, Blach C, Haynes CS, LaRocque-Abramson K, Grass E, Dowdy ZE, Devlin RB, Diaz-Sanchez D, Cascio WE, Miranda ML, Gregory SG, Shah SH, Kraus WE, Hauser ER. A genome-wide trans-ethnic interaction study links the PIGR-FCAMR locus to coronary atherosclerosis via interactions between genetic variants and residential exposure to traffic. PLoS One 2017; 12:e0173880. [PMID: 28355232 PMCID: PMC5371323 DOI: 10.1371/journal.pone.0173880] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2016] [Accepted: 02/28/2017] [Indexed: 12/31/2022] Open
Abstract
Air pollution is a worldwide contributor to cardiovascular disease mortality and morbidity. Traffic-related air pollution is a widespread environmental exposure and is associated with multiple cardiovascular outcomes such as coronary atherosclerosis, peripheral arterial disease, and myocardial infarction. Despite the recognition of the importance of both genetic and environmental exposures to the pathogenesis of cardiovascular disease, studies of how these two contributors operate jointly are rare. We performed a genome-wide interaction study (GWIS) to examine gene-traffic exposure interactions associated with coronary atherosclerosis. Using race-stratified cohorts of 538 African-Americans (AA) and 1562 European-Americans (EA) from a cardiac catheterization cohort (CATHGEN), we identify gene-by-traffic exposure interactions associated with the number of significantly diseased coronary vessels as a measure of chronic atherosclerosis. We found five suggestive (P<1x10-5) interactions in the AA GWIS, of which two (rs1856746 and rs2791713) replicated in the EA cohort (P < 0.05). Both SNPs are in the PIGR-FCAMR locus and are eQTLs in lymphocytes. The protein products of both PIGR and FCAMR are implicated in inflammatory processes. In the EA GWIS, there were three suggestive interactions; none of these replicated in the AA GWIS. All three were intergenic; the most significant interaction was in a regulatory region associated with SAMSN1, a gene previously associated with atherosclerosis and B cell activation. In conclusion, we have uncovered several novel genes associated with coronary atherosclerosis in individuals chronically exposed to increased ambient concentrations of traffic air pollution. These genes point towards inflammatory pathways that may modify the effects of air pollution on cardiovascular disease risk.
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Affiliation(s)
- Cavin K. Ward-Caviness
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Lucas M. Neas
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Colette Blach
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Carol S. Haynes
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Karen LaRocque-Abramson
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Elizabeth Grass
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Z. Elaine Dowdy
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Robert B. Devlin
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - David Diaz-Sanchez
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Wayne E. Cascio
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Chapel Hill, NC, United States of America
| | - Marie Lynn Miranda
- National Center for Geospatial Medicine, Rice University, Houston, TX, United States of America
| | - Simon G. Gregory
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
| | - Svati H. Shah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
- Division of Cardiology, Duke University School of Medicine, Durham, NC, United States of America
| | - William E. Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
- Division of Cardiology, Duke University School of Medicine, Durham, NC, United States of America
| | - Elizabeth R. Hauser
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States of America
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, United States of America
- Cooperative Studies Program Epidemiology Center-Durham, Veterans Affairs Medical Center, Durham, NC, United States of America
- * E-mail:
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46
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Ligthart S, Marzi C, Aslibekyan S, Mendelson MM, Conneely KN, Tanaka T, Colicino E, Waite LL, Joehanes R, Guan W, Brody JA, Elks C, Marioni R, Jhun MA, Agha G, Bressler J, Ward-Caviness CK, Chen BH, Huan T, Bakulski K, Salfati EL, Fiorito G, Wahl S, Schramm K, Sha J, Hernandez DG, Just AC, Smith JA, Sotoodehnia N, Pilling LC, Pankow JS, Tsao PS, Liu C, Zhao W, Guarrera S, Michopoulos VJ, Smith AK, Peters MJ, Melzer D, Vokonas P, Fornage M, Prokisch H, Bis JC, Chu AY, Herder C, Grallert H, Yao C, Shah S, McRae AF, Lin H, Horvath S, Fallin D, Hofman A, Wareham NJ, Wiggins KL, Feinberg AP, Starr JM, Visscher PM, Murabito JM, Kardia SLR, Absher DM, Binder EB, Singleton AB, Bandinelli S, Peters A, Waldenberger M, Matullo G, Schwartz JD, Demerath EW, Uitterlinden AG, van Meurs JBJ, Franco OH, Chen YDI, Levy D, Turner ST, Deary IJ, Ressler KJ, Dupuis J, Ferrucci L, Ong KK, Assimes TL, Boerwinkle E, Koenig W, Arnett DK, Baccarelli AA, Benjamin EJ, Dehghan A. DNA methylation signatures of chronic low-grade inflammation are associated with complex diseases. Genome Biol 2016; 17:255. [PMID: 27955697 PMCID: PMC5151130 DOI: 10.1186/s13059-016-1119-5] [Citation(s) in RCA: 197] [Impact Index Per Article: 24.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 11/30/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Chronic low-grade inflammation reflects a subclinical immune response implicated in the pathogenesis of complex diseases. Identifying genetic loci where DNA methylation is associated with chronic low-grade inflammation may reveal novel pathways or therapeutic targets for inflammation. RESULTS We performed a meta-analysis of epigenome-wide association studies (EWAS) of serum C-reactive protein (CRP), which is a sensitive marker of low-grade inflammation, in a large European population (n = 8863) and trans-ethnic replication in African Americans (n = 4111). We found differential methylation at 218 CpG sites to be associated with CRP (P < 1.15 × 10-7) in the discovery panel of European ancestry and replicated (P < 2.29 × 10-4) 58 CpG sites (45 unique loci) among African Americans. To further characterize the molecular and clinical relevance of the findings, we examined the association with gene expression, genetic sequence variants, and clinical outcomes. DNA methylation at nine (16%) CpG sites was associated with whole blood gene expression in cis (P < 8.47 × 10-5), ten (17%) CpG sites were associated with a nearby genetic variant (P < 2.50 × 10-3), and 51 (88%) were also associated with at least one related cardiometabolic entity (P < 9.58 × 10-5). An additive weighted score of replicated CpG sites accounted for up to 6% inter-individual variation (R2) of age-adjusted and sex-adjusted CRP, independent of known CRP-related genetic variants. CONCLUSION We have completed an EWAS of chronic low-grade inflammation and identified many novel genetic loci underlying inflammation that may serve as targets for the development of novel therapeutic interventions for inflammation.
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Affiliation(s)
- Symen Ligthart
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Carola Marzi
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany.,German Center for Diabetes Research (DZD e.V.), Partner Munich, Germany
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Michael M Mendelson
- Boston University School of Medicine, Boston, MA, USA.,Department of Cardiology, Boston Children's Hospital, Boston, MA, USA.,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Karen N Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Elena Colicino
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Lindsay L Waite
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Roby Joehanes
- Hebrew SeniorLife, Harvard Medical School, Boston, MA, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Cathy Elks
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Riccardo Marioni
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Min A Jhun
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Golareh Agha
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jan Bressler
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany
| | - Brian H Chen
- Longitudinal Studies Section, Translational Gerontology Branch, Intramural Research Program, National Institute on Aging, National Institutes of Health, Baltimore, MD, USA
| | - Tianxiao Huan
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Kelly Bakulski
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elias L Salfati
- Department of Medicine - Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Giovanni Fiorito
- Human Genetics Foundation, Torino, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | | | - Simone Wahl
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany.,German Center for Diabetes Research (DZD e.V.), Partner Munich, Germany
| | - Katharina Schramm
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, München, Germany
| | - Jin Sha
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Dena G Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | - Allan C Just
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Luke C Pilling
- Epidemiology and Public Health, University of Exeter Medical School, RILD Building Level 3 Research, Exeter, UK
| | - James S Pankow
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Phil S Tsao
- Stanford University School of Medicine, Palo Alto, CA, USA.,VA Palo Alto Health Care System, Palo Alto, CA, USA
| | - Chunyu Liu
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.,Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Simonetta Guarrera
- Human Genetics Foundation, Torino, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Vasiliki J Michopoulos
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Alicia K Smith
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Marjolein J Peters
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - David Melzer
- Epidemiology and Public Health, University of Exeter Medical School, RILD Building Level 3 Research, Exeter, UK
| | - Pantel Vokonas
- VA Boston Healthcare System and Boston University Schools of Public Health and Medicine, Jamaica Plain, Boston, MA, USA
| | - Myriam Fornage
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Center Munich, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Human Genetics, Technical University Munich, München, Germany
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Audrey Y Chu
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Christian Herder
- Institute of Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany.,German Center for Diabetes Research (DZD e.V.), München-Neuherberg, Germany
| | - Harald Grallert
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany.,German Center for Diabetes Research (DZD e.V.), Partner Munich, Germany
| | - Chen Yao
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sonia Shah
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.,University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Allan F McRae
- Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.,University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Brisbane, QLD, Australia
| | - Honghuang Lin
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Steve Horvath
- UCLA, Department of Human Genetics, Gonda Research Center, David Geffen School of Medicine, Los Angeles, CA, USA
| | - Daniele Fallin
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Albert Hofman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Nicholas J Wareham
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Andrew P Feinberg
- Center for Epigenetics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - John M Starr
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Peter M Visscher
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Queensland Brain Institute, The University of Queensland, Brisbane, QLD, Australia.,University of Queensland Diamantina Institute, Translational Research Institute, The University of Queensland, Brisbane, QLD, Australia
| | | | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Elisabeth B Binder
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.,Max-Planck Institute of Psychiatry, Munich, Germany
| | - Andrew B Singleton
- Laboratory of Neurogenetics, National Institute on Aging, Bethesda, MD, USA
| | | | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany
| | - Melanie Waldenberger
- Institute of Epidemiology II, Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherber, Germany
| | - Giuseppe Matullo
- Human Genetics Foundation, Torino, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Joel D Schwartz
- Department of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ellen W Demerath
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Oscar H Franco
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Yii-Der Ida Chen
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Daniel Levy
- Boston University School of Medicine, Boston, MA, USA.,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Stephen T Turner
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, USA
| | - Ian J Deary
- Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.,Medical Genetics Section, Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Kerry J Ressler
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA.,Division of Depression & Anxiety Disorders, McLean Hospital, Belmont, MA, USA.,Department of Psychiatry, Harvard Medical School, Boston, MA, USA
| | - Josée Dupuis
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, Baltimore, MD, USA
| | - Ken K Ong
- MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, UK
| | | | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Wolfgang Koenig
- Department of Internal Medicine II-Cardiology, University of Ulm Medical Center, Ulm, Germany.,Deutsches Herzzentrum München, Technische Universität München, Munich, Germany.,DZHK (German Center for Cardiovascular Research), partner site Munich Heart Alliance, Munich, Germany
| | - Donna K Arnett
- University of Kentucky, College of Public Health, Lexington, KY, USA
| | - Andrea A Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Emelia J Benjamin
- Boston University School of Medicine, Boston, MA, USA.,Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA.,Boston University and the NHLBI's Framingham Heart Study, Boston, MA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, The Netherlands. .,Department of Biostatistics and Epidemiology, MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
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Breitner S, Schneider A, Devlin RB, Ward-Caviness CK, Diaz-Sanchez D, Neas LM, Cascio WE, Peters A, Hauser ER, Shah SH, Kraus WE. Associations among plasma metabolite levels and short-term exposure to PM 2.5 and ozone in a cardiac catheterization cohort. Environ Int 2016; 97:76-84. [PMID: 27792908 DOI: 10.1016/j.envint.2016.10.012] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 10/11/2016] [Accepted: 10/11/2016] [Indexed: 05/19/2023]
Abstract
RATIONALE Exposure to ambient particulate matter (PM) and ozone has been associated with cardiovascular disease (CVD). However, the mechanisms linking PM and ozone exposure to CVD remain poorly understood. OBJECTIVE This study explored associations between short-term exposures to PM with a diameter <2.5μm (PM2.5) and ozone with plasma metabolite concentrations. METHODS AND RESULTS We used cross-sectional data from a cardiac catheterization cohort at Duke University, North Carolina (NC), USA, accumulated between 2001 and 2007. Amino acids, acylcarnitines, ketones and total non-esterified fatty acid plasma concentrations were determined in fasting samples. Daily concentrations of PM2.5 and ozone were obtained from a Bayesian space-time hierarchical model, matched to each patient's residential address. Ten metabolites were selected for the analysis based on quality criteria and cluster analysis. Associations between metabolites and PM2.5 or ozone were analyzed using linear regression models adjusting for long-term trend and seasonality, calendar effects, meteorological parameters, and participant characteristics. We found delayed associations between PM2.5 or ozone and changes in metabolite levels of the glycine-ornithine-arginine metabolic axis and incomplete fatty acid oxidation associated with mitochondrial dysfunction. The strongest association was seen for an increase of 8.1μg/m3 in PM2.5 with a lag of one day and decreased mean glycine concentrations (-2.5% [95% confidence interval: -3.8%; -1.2%]). CONCLUSIONS Short-term exposures to ambient PM2.5 and ozone is associated with changes in plasma concentrations of metabolites in a cohort of cardiac catheterization patients. Our findings might help to understand the link between air pollution and cardiovascular disease.
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Affiliation(s)
- Susanne Breitner
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany.
| | - Alexandra Schneider
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | - Robert B Devlin
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany; School of Medicine, Duke University, Durham, NC, USA
| | - David Diaz-Sanchez
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Lucas M Neas
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Wayne E Cascio
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, NC, USA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, Neuherberg, Germany
| | | | - Svati H Shah
- School of Medicine, Duke University, Durham, NC, USA
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48
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Hampel R, Breitner S, Kraus WE, Hauser E, Shah S, Ward-Caviness CK, Devlin R, Diaz-Sanchez D, Neas L, Cascio W, Peters A, Schneider A. Short-term effects of air temperature on plasma metabolite concentrations in patients undergoing cardiac catheterization. Environ Res 2016; 151:224-232. [PMID: 27500855 DOI: 10.1016/j.envres.2016.07.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/09/2016] [Revised: 06/17/2016] [Accepted: 07/10/2016] [Indexed: 06/06/2023]
Abstract
BACKGROUND Epidemiological studies have shown associations between air temperature and cardiovascular health outcomes. Metabolic dysregulation might also play a role in the development of cardiovascular disease. OBJECTIVES To investigate short-term temperature effects on metabolites related to cardiovascular disease. METHODS Concentrations of 45 acylcarnitines, 15 amino acids, ketone bodies and total free fatty acids were available in 2869 participants from the CATHeterization GENetics cohort recruited at the Duke University Cardiac Catheterization Clinic (Durham, NC) between 2001 and 2007. Ten metabolites were selected based on quality criteria and cluster analysis. Daily averages of meteorological variables were obtained from the North American Regional Reanalysis project. Immediate, lagged, and cumulative temperature effects on metabolite concentrations were analyzed using (piecewise) linear regression models. RESULTS Linear temperature effects were found for glycine, C16-OH:C14:1-DC, and aspartic acid/asparagine. A 5°C increase in temperature was associated with a 1.8% [95%-confidence interval: 0.3%; 3.3%] increase in glycine (5-day average), a 3.2% [0.1%; 6.3%] increase in C16-OH:C14:1-DC (lag of four days), and a -1.4% [-2.4%; -0.3%] decrease in aspartic acid/asparagine (lag of two days). Non-linear temperature effects were observed for alanine and total ketone bodies with breakpoint of 4°C and 20°C, respectively. Both a 5°C decrease in temperature on colder days (<4°C)and a 5°C increase in temperature on warmer days (≥4°C) were associated with a four day delayed increase in alanine by 6.6% [11.7; 1.8%] and 1.9% [0.3%; 3.4%], respectively. For ketone bodies we found immediate (0-day lag) increases of 4.2% [-0.5%; 9.1%] and 12.3% [0.1%; 26.0%] associated with 5°C decreases on colder (<20°C) days and 5°C increases on warmer days (≥20°C), respectively. CONCLUSIONS We observed multiple effects of air temperature on metabolites several of which are reported to be involved in cardiovascular disease. Our findings might help to understand the link between air temperature and cardiovascular disease.
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Affiliation(s)
- Regina Hampel
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany.
| | - Susanne Breitner
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | | | - Elizabeth Hauser
- School of Medicine, Duke University, Durham, NC 27701, USA; Duke Molecular Physiology Institute, 300 North Duke Street, Durham, NC 27701, USA; Cooperative Studies Program Epidemiology Center-Durham, Veterans Affairs Medical Center, Durham, NC 27701, USA
| | - Svati Shah
- School of Medicine, Duke University, Durham, NC 27701, USA
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | - Robert Devlin
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, 109 T.W. Alexander Drive, Durham, NC 27709, USA
| | - David Diaz-Sanchez
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, 109 T.W. Alexander Drive, Durham, NC 27709, USA
| | - Lucas Neas
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, 109 T.W. Alexander Drive, Durham, NC 27709, USA
| | - Wayne Cascio
- National Health and Environmental Effects Research Laboratory, US Environmental Protection Agency, Research Triangle Park, 109 T.W. Alexander Drive, Durham, NC 27709, USA
| | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
| | - Alexandra Schneider
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Ingolstädter Landstraße 1, 85764 Neuherberg, Germany
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49
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Ward-Caviness CK, Breitner S, Wolf K, Cyrys J, Kastenmüller G, Wang-Sattler R, Schneider A, Peters A. Short-term NO2 exposure is associated with long-chain fatty acids in prospective cohorts from Augsburg, Germany: results from an analysis of 138 metabolites and three exposures. Int J Epidemiol 2016; 45:1528-1538. [PMID: 27892410 DOI: 10.1093/ije/dyw247] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2016] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND Short-term exposure to air pollution is associated with morbidity and mortality. Metabolites are intermediaries in biochemical processes, and associations between air pollution and metabolites can yield unique mechanistic insights. METHODS We used independent cross-sectional samples with targeted metabolomics (138 metabolites across five metabolite classes) from three cohort studies, each a part of the Cooperative Health Research in the Region of Augsburg (KORA). The KORA cohorts are numbered (1 to 4) according to which survey they belong to, and lettered S or F according to whether the survey was a baseline or follow-up survey. KORA F4 (N = 3044) served as our discovery cohort, with KORA S4 (N = 485) serving as the primary replication cohort. KORA F4 and KORA S4 were primarily fasting cohorts. We used the non-fasting KORA F3 (N = 377) cohort to evaluate replicated associations in non-fasting individuals, and we performed a random effects meta-analysis of all three cohorts. Associations between the 0-4-day lags and the 5-day average of particulate matter (PM)2.5, NO2 and ozone were modelled via generalized additive models. All air pollution exposures were scaled to the interquartile range, and effect estimates presented as percent changes relative to the geometric mean of the metabolite concentration (ΔGM). RESULTS There were 10 discovery cohort associations, of which seven were lysophosphatidylcholines (LPCs); NO2 was the most ubiquitous exposure (5/10). The 5-day average NO2-LPC(28:0) association was associated at a Bonferroni corrected P-value threshold (P < 1.2x10-4) in KORA F4 [ΔGM = 11.5%; 95% confidence interval (CI) = 6.60, 16.3], and replicated (P < 0.05) in KORA S4 (ΔGM = 21.0%; CI = 4.56, 37.5). This association was not observed in the non-fasting KORA F3 cohort (ΔGM = -5.96%; CI = -26.3, 14.3), but remained in the random effects meta-analysis (ΔGM = 10.6%; CI = 0.16, 21). CONCLUSIONS LPCs are associated with short-term exposure to air pollutants, in particular NO2 Further research is needed to understand the effect of nutritional/fasting status on these associations and the causal mechanisms linking air pollution exposure and metabolite profiles.
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Affiliation(s)
| | | | | | | | | | - Rui Wang-Sattler
- Institute of Epidemiology II.,Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
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McGuinn LA, Ward-Caviness CK, Neas LM, Schneider A, Diaz-Sanchez D, Cascio WE, Kraus WE, Hauser E, Dowdy E, Haynes C, Chudnovsky A, Koutrakis P, Devlin RB. Association between satellite-based estimates of long-term PM2.5 exposure and coronary artery disease. Environ Res 2016; 145:9-17. [PMID: 26613345 PMCID: PMC4706491 DOI: 10.1016/j.envres.2015.10.026] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2015] [Revised: 10/22/2015] [Accepted: 10/23/2015] [Indexed: 05/28/2023]
Abstract
BACKGROUND Epidemiological studies have identified associations between long-term PM2.5 exposure and cardiovascular events, though most have relied on concentrations from central-site air quality monitors. METHODS We utilized a cohort of 5679 patients who had undergone cardiac catheterization at Duke University between 2002-2009 and resided in North Carolina. We used estimates of daily PM2.5 concentrations for North Carolina during the study period based on satellite derived Aerosol Optical Depth (AOD) measurements and PM2.5 concentrations from ground monitors, which were spatially resolved with a 10×10km resolution, matched to each patient's residential address and averaged for the year prior to catheterization. The Coronary Artery Disease (CAD) index was used to measure severity of CAD; scores >23 represent a hemodynamically significant coronary artery lesion in at least one major coronary vessel. Logistic regression modeled odds of having CAD or an MI with each 1μg/m(3) increase in annual average PM2.5, adjusting for sex, race, smoking status and socioeconomic status. RESULTS In adjusted models, a 1μg/m(3) increase in annual average PM2.5 was associated with an 11.1% relative increase in the odds of significant CAD (95% CI: 4.0-18.6%) and a 14.2% increase in the odds of having a myocardial infarction (MI) within a year prior (95% CI: 3.7-25.8%). CONCLUSIONS Satellite-based estimates of long-term PM2.5 exposure were associated with both coronary artery disease (CAD) and incidence of myocardial infarction (MI) in a cohort of cardiac catheterization patients.
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Affiliation(s)
- Laura A McGuinn
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, United States
| | - Cavin K Ward-Caviness
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany
| | | | - Alexandra Schneider
- Helmholtz Zentrum München, German Research Center for Environmental Health, Institute of Epidemiology II, Neuherberg, Germany
| | | | | | - William E Kraus
- Duke University School of Medicine, Durham, NC, United States
| | | | - Elaine Dowdy
- Duke University School of Medicine, Durham, NC, United States
| | - Carol Haynes
- Duke University School of Medicine, Durham, NC, United States
| | - Alexandra Chudnovsky
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States; Department of Geography and Human Environment, Tel-Aviv University, Israel
| | - Petros Koutrakis
- Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States
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