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Li Y, Baumert BO, Costello E, Chen JC, Rock S, Stratakis N, Goodrich JA, Zhao Y, Eckel SP, Walker DI, Valvi D, La Merrill MA, McConnell R, Cortessis VK, Aung M, Wu H, Baccarelli A, Conti D, Chatzi L. Per- and polyfluoroalkyl substances, polychlorinated biphenyls, organochlorine pesticides, and polybrominated diphenyl ethers and dysregulation of MicroRNA expression in humans and animals-A systematic review. Environ Res 2024; 244:117832. [PMID: 38056610 DOI: 10.1016/j.envres.2023.117832] [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: 05/25/2023] [Revised: 11/08/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Persistent organic pollutants (POPs) are chemicals characterized by their environmental persistence. Evidence suggests that exposure to POPs, which is ubiquitous, is associated with microRNA (miRNA) dysregulation. miRNA are key regulators in many physiological processes. It is thus of public health concern to understand the relationships between POPs and miRNA as related to health outcomes. OBJECTIVES This systematic review evaluated the relationship between widely recognized, intentionally manufactured, POPs, including per- and polyfluoroalkyl substances (PFAS), polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), and organochlorine pesticides (dichlorodiphenyltrichloroethane [DDT], dichlorodiphenyldichloroethylene [DDE], hexachlorobenzene [HCB]), with miRNA expression in both human and animal studies. METHODS We used PubMed and Embase to systematically search the literature up to September 29th, 2023. Search results for human and animal studies were included if they incorporated at least one POP of interest in relation to at least one miRNA. Data were synthesized to determine the direction and significance of associations between POPs and miRNA. We utilized ingenuity pathway analysis to review disease pathways for miRNA that were associated with POPs. RESULTS Our search identified 38 eligible studies: 9 in humans and 29 in model organisms. PFAS were associated with decreased expression of miR-19, miR-193b, and miR-92b, as well as increased expression of miR-128, miR-199a-3p, and miR-26b across species. PCBs were associated with increased expression of miR-15a, miR-1537, miR-21, miR-22-3p, miR-223, miR-30b, and miR-34a, as well as decreased expression of miR-130a and let-7b in both humans and animals. Pathway analysis for POP-associated miRNA identified pathways related to carcinogenesis. DISCUSSION This is the first systematic review of the association of POPs with miRNA in humans and model organisms. Large-scale prospective human studies are warranted to examine the role of miRNA as mediators between POPs and health outcomes.
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Affiliation(s)
- Yijie Li
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
| | - Brittney O Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Elizabeth Costello
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jiawen Carmen Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sarah Rock
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Jesse A Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Yinqi Zhao
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Sandrah P Eckel
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Douglas I Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Michele A La Merrill
- Department of Environmental Toxicology, University of California, Davis, CA, USA
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Victoria K Cortessis
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Max Aung
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Haotian Wu
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - David Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Lida Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
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Zhao J, Schooling CM, Au Yeung SL, Cowling BJ, Baccarelli A. Environment-wide and epigenome-wide association study of adiposity in 'Children of 1997' birth cohort: abridged secondary publication. Hong Kong Med J 2023; 29 Suppl 7:9-13. [PMID: 38148649] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2023] Open
Affiliation(s)
- J Zhao
- School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - C M Schooling
- School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - S L Au Yeung
- School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - B J Cowling
- School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - A Baccarelli
- Mailman School of Public Health, Columbia University, United States
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Scorza P, Duarte CS, Lee S, Wu H, Posner J, Baccarelli A, Monk C. Stage 2 Registered Report: Epigenetic Intergenerational Transmission: Mothers' Adverse Childhood Experiences and DNA Methylation. J Am Acad Child Adolesc Psychiatry 2023; 62:1110-1122. [PMID: 37330044 PMCID: PMC10594411 DOI: 10.1016/j.jaac.2023.02.018] [Citation(s) in RCA: 3] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 01/31/2023] [Accepted: 06/08/2023] [Indexed: 06/19/2023]
Abstract
OBJECTIVE Individual differences in risk for mental disorders over the lifespan are shaped by forces acting before the individual is born-in utero, but likely even earlier, during the mother's own childhood. The environmental epigenetics hypothesis proposes that sustained effects of environmental conditions on gene expression are mediated by epigenetic mechanisms. Recent human studies have shown that adversities in childhood are correlated with DNA methylation (DNAm) in adulthood. In the current study, we tested the following pre-registered hypotheses: Mothers' adverse childhood experiences (ACEs) are correlated with DNAm in peripheral blood during pregnancy (hypothesis 1) and in cord blood samples from newborn infants (hypothesis 2), and women's depression and anxiety symptoms during pregnancy mediate the association between mothers' ACE exposure and prenatal/neonatal DNA methylation (hypothesis 3). METHOD Data were from the Avon Longitudinal Study of Parents and Children Accessible Resource for Integrated Epigenomic Studies substudy. Women provided retrospective self-reports during pregnancy of ACE exposure. We conducted an epigenome-wide association study testing whether mothers' ACE exposure, cumulative score (0-10), was associated with DNAm in maternal antenatal blood and infant cord blood in more than 450,000 CpG (point on DNA sequence where cytosine and guanine base pairs are linked by a phosphate, where methylation usually occurs) sites on the Illumina 450K BeadChip. Analyses for cord blood were separated by infant sex, a pre-registered analysis. RESULTS Hypothesis 1: In 896 mother-infant pairs with available methylation and ACE exposure data, there were no significant associations between mothers' ACE score and DNAm from antenatal peripheral blood, after controlling for covariates. Hypothesis 2: In infant cord blood, there were 5 CpG sites significantly differentially methylated in relation to mothers' ACEs (false discovery rate [FDR] < .05), but only in male offspring. Effect sizes were medium, with partial eta squared values ranging from 0.060 to 0.078. CpG sites were in genes related to mitochondrial function and neuronal development in the cerebellum. Hypothesis 3: There was no mediation by maternal anxiety/depression symptoms found between mothers' ACEs score and DNAm in the significant CpG sites in male cord blood. Mediation was not tested in antenatal peripheral blood, because no direct association between mothers' ACE score and antenatal peripheral blood was found. CONCLUSION Our results show that mothers' ACE exposure is associated with DNAm in male offspring, supporting the notion that DNAm could be a marker of intergenerational biological embedding of mothers' childhood adversity. STUDY REGISTRATION INFORMATION Epigenetic Intergenerational Transmission: Mothers' Adverse Childhood Experiences and DNA Methylation; https://doi.org/10.1016/j.jaac.2020.03.008.
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Affiliation(s)
- Pamela Scorza
- Columbia University Vagelos College of Physicians and Surgeons, New York.
| | - Cristiane S Duarte
- New York State Psychiatric Institute, New York; Columbia University, New York
| | - Seonjoo Lee
- New York State Psychiatric Institute, New York; Columbia University, New York
| | - Haotian Wu
- Mailman School of Public Health, Columbia University, New York
| | - Jonathan Posner
- New York State Psychiatric Institute, New York; Columbia University, New York
| | | | - Catherine Monk
- Columbia University Vagelos College of Physicians and Surgeons, New York
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Zhao J, Fan B, Huang J, Cowling BJ, Au Yeung SLR, Baccarelli A, Leung GM, Schooling CM. Environment- and epigenome-wide association study of obesity in 'Children of 1997' birth cohort. eLife 2023; 12:82377. [PMID: 37204309 DOI: 10.7554/elife.82377] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Accepted: 05/04/2023] [Indexed: 05/20/2023] Open
Abstract
Background Increasing childhood obesity is a global issue requiring potentially local solutions to ensure it does not continue into adulthood. We systematically identified potentially modifiable targets of obesity at the onset and end of puberty in Hong Kong, the most economically developed major Chinese city. Methods We conducted an environment-wide association study (EWAS) and an epigenome-wide association study of obesity to systematically assess associations with body mass index (BMI) and waist-hip ratio (WHR) in Hong Kong's population-representative 'Children of 1997' birth cohort. Univariable linear regression was used to select exposures related to obesity at ~11.5 years (BMI and obesity risk n ≤ 7119, WHR n = 5691) and ~17.6 years (n = 3618) at Bonferroni-corrected significance, and multivariable regression to adjust for potential confounders followed by replicated multivariable regression (n = 308) and CpG by CpG analysis (n = 286) at ~23 years. Findings were compared with evidence from published randomized controlled trials (RCTs) and Mendelian randomization (MR) studies. Results At ~11.5 and~17.6 years the EWAS identified 14 and 37 exposures associated with BMI, as well as 7 and 12 associated with WHR, respectively. Most exposures had directionally consistent associations at ~23 years. Maternal second-hand smoking, maternal weight, and birth weight were consistently associated with obesity. Diet (including dairy intake and artificially sweetened beverages), physical activity, snoring, binge eating, and earlier puberty were positively associated with BMI at ~17.6 years, while eating before sleep was inversely associated with BMI at ~17.6 years. Findings for birth weight, dairy intake, and binge eating are consistent with available evidence from RCTs or MR studies. We found 17 CpGs related to BMI and 17 to WHR. Conclusions These novel insights into potentially modifiable factors associated with obesity at the outset and the end of puberty could, if causal, inform future interventions to improve population health in Hong Kong and similar Chinese settings. Funding This study including the follow-up survey and epigenetics testing was supported by the Health and Medical Research Fund Research Fellowship, Food and Health Bureau, Hong Kong SAR Government (#04180097). The DNA extraction of the samples used for epigenetic testing was supported by CFS-HKU1.
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Affiliation(s)
- Jie Zhao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Bohan Fan
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Jian Huang
- Singapore Institute for Clinical Sciences (SICS), Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Benjamin John Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Shiu Lun Ryan Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - Andrea Baccarelli
- Mailman School of Public Health, Columbia University, New York, United States
| | - Gabriel M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong
- City University of New York, School of Public Health and Health policy, New York, United States
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Abstract
Human health is determined by the interaction of our environment with the genome, epigenome, and microbiome, which shape the transcriptomic, proteomic, and metabolomic landscape of cells and tissues. Precision environmental health is an emerging field leveraging environmental and system-level ('omic) data to understand underlying environmental causes of disease, identify biomarkers of exposure and response, and develop new prevention and intervention strategies. In this article we provide real-life illustrations of the utility of precision environmental health approaches, identify current challenges in the field, and outline new opportunities to promote health through a precision environmental health framework.
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Affiliation(s)
- Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA.
| | - Dana C Dolinoy
- Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Cheryl Lyn Walker
- Center for Precision Environmental Health, Baylor College of Medicine, Houston, TX, USA
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Prada D, Rexrode K, Kalia V, Kooperberg C, Reiner A, Balasubramanian R, Wu HC, Miller G, Lonita-Laza I, Crandall C, Cantu-de-Leon D, Liao D, Yanosky J, Stewart J, Whitsel E, Baccarelli A. Metabolomic Evaluation of Air Pollution-related Bone Damage and Potential Mediation. Res Sq 2023:rs.3.rs-2652887. [PMID: 37034583 PMCID: PMC10081369 DOI: 10.21203/rs.3.rs-2652887/v1] [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] [Subscribe] [Scholar Register] [Indexed: 04/30/2023]
Abstract
Ambient air pollution has been associated with bone damage. However, no studies have evaluated the metabolomic response to air pollutants and its potential influence on bone health in postmenopausal women. We analyzed data from WHI participants with plasma samples. Whole-body, total hip, femoral neck, and spine BMD at enrollment and follow-up (Y1, Y3, Y6). Daily particulate matter NO, NO2, PM10 and SO2 were averaged over 1-, 3-, and 5-year periods before metabolomic assessments. Statistical analyses included multivariable-adjusted linear mixed models, pathways analyses, and mediation modeling. NO, NO2, and SO2, but not PM10, were associated with taurine, inosine, and C38:4 phosphatidylethanolamine (PE), at all averaging periods. We found a partial mediation of C38:4 PE in the association between 1-year average NO and lumbar spine BMD (p-value: 0.032). This is the first study suggesting that a PE may partially mediate air pollution-related bone damage in postmenopausal women.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | | | | | - Jeff Yanosky
- Pennsylvania State University College of Medicine
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7
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Piscitelli P, Miani A, Setti L, De Gennaro G, Rodo X, Artinano B, Vara E, Rancan L, Arias J, Passarini F, Barbieri P, Pallavicini A, Parente A, D'Oro EC, De Maio C, Saladino F, Borelli M, Colicino E, Gonçalves LMG, Di Tanna G, Colao A, Leonardi GS, Baccarelli A, Dominici F, Ioannidis JPA, Domingo JL. The role of outdoor and indoor air quality in the spread of SARS-CoV-2: Overview and recommendations by the research group on COVID-19 and particulate matter (RESCOP commission). Environ Res 2022; 211:113038. [PMID: 35231456 PMCID: PMC8881809 DOI: 10.1016/j.envres.2022.113038] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [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: 01/20/2022] [Revised: 02/24/2022] [Accepted: 02/24/2022] [Indexed: 05/29/2023]
Abstract
There are important questions surrounding the potential contribution of outdoor and indoor air quality in the transmission of SARS-CoV-2 and perpetuation of COVID-19 epidemic waves. Environmental health may be a critical component of COVID-19 prevention. The public health community and health agencies should consider the evolving evidence in their recommendations and statements, and work to issue occupational guidelines. Evidence coming from the current epidemiological and experimental research is expected to add knowledge about virus diffusion, COVID-19 severity in most polluted areas, inter-personal distance requirements and need for wearing face masks in indoor or outdoor environments. The COVID-19 pandemic has highlighted the need for maintaining particulate matter concentrations at low levels for multiple health-related reasons, which may also include the spread of SARS-CoV-2. Indoor environments represent even a more crucial challenge to cope with, as it is easier for the SARS-COV2 to spread, remain vital and infect other subjects in closed spaces in the presence of already infected asymptomatic or mildly symptomatic people. The potential merits of preventive measures, such as CO2 monitoring associated with natural or controlled mechanical ventilation and air purification, for schools, indoor public places (restaurants, offices, hotels, museums, theatres/cinemas etc.) and transportations need to be carefully considered. Hospital settings and nursing/retirement homes as well as emergency rooms, infectious diseases divisions and ambulances represent higher risk indoor environments and may require additional monitoring and specific decontamination strategies based on mechanical ventilation or air purification.
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Affiliation(s)
- Prisco Piscitelli
- Italian Society of Environmental Medicine (SIMA), Milan, Italy; UNESCO Chair on Health Education and Sustainable Development, University of Naples Federico II, Naples, Italy.
| | - Alessandro Miani
- Italian Society of Environmental Medicine (SIMA), Milan, Italy; Department of Environmental Science and Policy, University of Milan, Milan, Italy.
| | - Leonardo Setti
- Italian Society of Environmental Medicine (SIMA), Milan, Italy; Department of Industrial Chemistry, University of Bologna, Bologna, Italy.
| | - Gianluigi De Gennaro
- Italian Society of Environmental Medicine (SIMA), Milan, Italy; Department of Biology, University of Bari "Aldo Moro", Bari, Italy.
| | - Xavier Rodo
- ICREA and Climate & Health Program, ISGlobal, Barcelona, Spain.
| | - Begona Artinano
- Unit Atmospheric Pollution and POP Characterization, CIEMAT, Madrid, Spain.
| | - Elena Vara
- Department of Biochemistry and Molecular Biology, School of Medicine, Complutense University, Madrid, Spain.
| | - Lisa Rancan
- Department of Biochemistry and Molecular Biology, School of Medicine, Complutense University, Madrid, Spain.
| | - Javier Arias
- School of Medicine, Complutense University, Madrid, Spain.
| | - Fabrizio Passarini
- Interdepartmental Centre for Industrial Research "Renewable Sources, Environment, Blue Growth, Energy", University of Bologna, Rimini, Italy.
| | - Pierluigi Barbieri
- Italian Society of Environmental Medicine (SIMA), Milan, Italy; Department of Chemical and Pharmaceutical Sciences, University of Trieste, Trieste, Italy.
| | | | - Alessandro Parente
- Université libre de Bruxelles (ULB), Ecole Polytechnique de Bruxelles, Département d'Aéro-Thermo-Mécanique, Brussels, Belgium; Brussels Institute for Thermal-fluid systems and clean Energy (BRITE), Brussels, Belgium.
| | - Edoardo Cavalieri D'Oro
- Chemical, Biological, Radiological and Nuclear Unit (NBCRE), Italian National Fire and Rescue Service, Milan, Italy.
| | - Claudio De Maio
- Chemical, Biological, Radiological and Nuclear Unit (NBCRE), Italian National Fire and Rescue Service, Milan, Italy.
| | - Francesco Saladino
- Chemical, Biological, Radiological and Nuclear Unit (NBCRE), Italian National Fire and Rescue Service, Milan, Italy.
| | - Massimo Borelli
- UMG School of PhD Programmes, University Magna Graecia of Catanzaro, Italy.
| | - Elena Colicino
- Department of Environmental Medicine and Public Health at the Icahn School of Medicine at Mount Sinai, New York, USA.
| | | | - Gianluca Di Tanna
- BioStatistics & Data Science Division, Meta-Research and Evidence Synthesis Unit, The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia.
| | - Annamaria Colao
- UNESCO Chair on Health Education and Sustainable Development, University of Naples Federico II, Naples, Italy.
| | - Giovanni S Leonardi
- Department of Public Health, Environments and Society, London School of Hygiene and Tropical Medicine (LSHTP), London, UK.
| | - Andrea Baccarelli
- Chair of the Department of Environmental Health Sciences, Columbia University, New York, USA.
| | | | - John P A Ioannidis
- Departments of Medicine, of Epidemiology and Population Health, of Biomedical Data Science and of Statistics, Stanford University, Stanford, CA, USA.
| | - Josè L Domingo
- Laboratory of Toxicology and Environmental Health, Universitat Rovira I Virgili, School of Medicine, Reus, Spain.
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Lee AG, Tignor N, Cowell W, Colicino E, Bozack A, Baccarelli A, Wang P, Wright RJ. Associations between antenatal maternal asthma status and placental DNA methylation. Placenta 2022; 126:184-195. [PMID: 35858526 PMCID: PMC9679966 DOI: 10.1016/j.placenta.2022.06.008] [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] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Revised: 06/09/2022] [Accepted: 06/17/2022] [Indexed: 11/16/2022]
Abstract
INTRODUCTION Maternal asthma in pregnancy is associated with adverse perinatal and child health outcomes; however, mechanisms are poorly understood. METHODS The PRogramming of Intergenerational Stress Mechanisms (PRISM) prospective pregnancy cohort characterized asthma history during pregnancy via questionnaires and quantified placental DNAm using the Illumina Infinium HumanMethylation450 BeadChip. We performed epigenome-wide association analyses (n = 223) to estimate associations between maternal active or inactive asthma, as compared to never asthma, and placental differentially methylated positions (DMPs) and differentially variable positions (DVPs). Models adjusted for maternal pre-pregnancy body mass index, smoking status, parity, age and education level and child sex. P-values were FDR-adjusted. RESULTS One hundred and fifty-nine (71.3%) pregnant women reported no history of asthma (never asthma), 15 (6.7%) reported inactive, and 49 (22%) reported active antenatal asthma. Women predominantly self-identified as Black/Hispanic Black [88 (39.5%)] and Hispanic/non-Black [42 (18.8%)]. We identified 10 probes at FDR<0.05 and 4 probes at FDR<0.10 characterized by higher variability in maternal active asthma compared to never asthma mapping to GPX3, LHPP, PECAM1, ATAD3C, and ARHGEF4 and 2 probes characterized by lower variation mapping to CHMP4A and C5orf24. Amongst women with inactive asthma, we identified 52 probes, 41 at FDR<0.05 and an additional 11 at FDR <0.10, with higher variability compared to never asthma; BMP4, LHPP, PHYHIPL, and ZSCAN23 were associated with multiple DVPs. No associations were observed with DMPs. DISCUSSION We observed alterations in placental DNAm in women with antenatal asthma, as compared to women without a history of asthma. Further research is needed to understand the impact on fetal development.
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Affiliation(s)
- Alison G Lee
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Nicole Tignor
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Whitney Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anne Bozack
- Division of Pulmonary, Critical Care and Sleep Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Andrea Baccarelli
- Environmental Health Sciences, Mailman School of Public Health at Columbia University, New York, NY, USA
| | - Pei Wang
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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Gagnon A, Descoteaux M, Bocti C, Grenier G, Gillet V, Posner J, Baccarelli A, Takser L. White matter microstructure associated with the range of attentional and impulsive performance in school-aged children. Eur Psychiatry 2022. [PMCID: PMC9566992 DOI: 10.1192/j.eurpsy.2022.251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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] [Indexed: 11/24/2022] Open
Abstract
Introduction Inhibition capabilities have been shown to be a strong predictor of social and educational life outcomes (Mischel & Ebbesen, 1970; Shoda et al., 1990). Inhibition capabilities have an enormous impact on attention and impulsivity (Bari & Robbins, 2013). These two executive functions are associated with numerous psychiatric disorders but are not well understood in terms of white matter (WM) connectivity (Puiu et al., 2018). Novel techniques and statistical approaches in neuroimaging bring us closer to a biologically sustained model. Objectives This research aims to: 1) identify WM connections associated with attention/impulsivity performance and 2) characterize the differences in WM microstructure associated with the variation of the performance. Methods
157 children (GESTE cohort, 8-12 years, 27 Dx ADHD, 2 Dx ASD) with b=1500mm2/s, 2mm isotropic dMRI acquisitions were included. Tractography was performed with TractoFlow pipeline (Theaud et al., 2020). Dimensionality reduction of diffusion metrics yielded two components : microstructural complexity (DTI Metrics, AFD & NuFo) and axonal density (AFD_fixel) (Chamberland et al., 2019). Attention/impulsivity were evaluated with the CPT3. Multivariate linear regression was performed in python. Results Lower microstructural complexity was associated with poorer attentional performance on regions of the parietal lobe to the occipital gyrus (P-O, p=0.044, R2=0.14, Figure 1.) and the Broadman’s area 8 to area 6 (SF8-SF6, p=0.002, R2=0.12, Figure 1.). Lower axonal density was associated with a less impulsive pattern on SF8-SF6 (p=0.001, R2=0.13, Figure 1.). Results remained significant when removing children with an ADHD or ASD diagnosis. ![]()
Conclusions We identified underlying difference in WM microstructure that may be associated with the variation in attention/impulsivity performance in school-aged children. Disclosure No significant relationships.
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Huan T, Nguyen S, Colicino E, Ochoa‐Rosales C, Hill WD, Brody JA, Soerensen M, Zhang Y, Baldassari A, Elhadad MA, Toshiko T, Zheng Y, Domingo‐Relloso A, Lee DH, Ma J, Yao C, Liu C, Hwang S, Joehanes R, Fornage M, Bressler J, van Meurs JB, Debrabant B, Mengel‐From J, Hjelmborg J, Christensen K, Vokonas P, Schwartz J, Gahrib SA, Sotoodehnia N, Sitlani CM, Kunze S, Gieger C, Peters A, Waldenberger M, Deary IJ, Ferrucci L, Qu Y, Greenland P, Lloyd‐Jones DM, Hou L, Bandinelli S, Voortman T, Hermann B, Baccarelli A, Whitsel E, Pankow JS, Levy D. Integrative analysis of clinical and epigenetic biomarkers of mortality. Aging Cell 2022; 21:e13608. [PMID: 35546478 PMCID: PMC9197414 DOI: 10.1111/acel.13608] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [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: 10/13/2021] [Revised: 03/03/2022] [Accepted: 03/24/2022] [Indexed: 01/28/2023] Open
Abstract
DNA methylation (DNAm) has been reported to be associated with many diseases and with mortality. We hypothesized that the integration of DNAm with clinical risk factors would improve mortality prediction. We performed an epigenome-wide association study of whole blood DNAm in relation to mortality in 15 cohorts (n = 15,013). During a mean follow-up of 10 years, there were 4314 deaths from all causes including 1235 cardiovascular disease (CVD) deaths and 868 cancer deaths. Ancestry-stratified meta-analysis of all-cause mortality identified 163 CpGs in European ancestry (EA) and 17 in African ancestry (AA) participants at p < 1 × 10-7 , of which 41 (EA) and 16 (AA) were also associated with CVD death, and 15 (EA) and 9 (AA) with cancer death. We built DNAm-based prediction models for all-cause mortality that predicted mortality risk after adjusting for clinical risk factors. The mortality prediction model trained by integrating DNAm with clinical risk factors showed an improvement in prediction of cancer death with 5% increase in the C-index in a replication cohort, compared with the model including clinical risk factors alone. Mendelian randomization identified 15 putatively causal CpGs in relation to longevity, CVD, or cancer risk. For example, cg06885782 (in KCNQ4) was positively associated with risk for prostate cancer (Beta = 1.2, PMR = 4.1 × 10-4 ) and negatively associated with longevity (Beta = -1.9, PMR = 0.02). Pathway analysis revealed that genes associated with mortality-related CpGs are enriched for immune- and cancer-related pathways. We identified replicable DNAm signatures of mortality and demonstrated the potential utility of CpGs as informative biomarkers for prediction of mortality risk.
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Affiliation(s)
- Tianxiao Huan
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
- Department of Ophthalmology and Visual SciencesUniversity of Massachusetts Medical SchoolWorcesterMassachusettsUSA
| | - Steve Nguyen
- Division of Epidemiology & Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Elena Colicino
- Icahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - Carolina Ochoa‐Rosales
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
- Centro de Vida Saludable de la Universidad de ConcepciónConcepciónChile
| | - W. David Hill
- Department of PsychologyLothian Birth CohortsUniversity of EdinburghEdinburghUK
| | - Jennifer A. Brody
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Mette Soerensen
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical Biochemistry and PharmacologyCenter for Individualized Medicine in Arterial DiseasesOdense University HospitalOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Yan Zhang
- Division of Clinical Epidemiology & Aging ResearchGerman Cancer Rsrch Ctr (DKFZ)HeidelbergGermany
| | - Antoine Baldassari
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - Mohamed Ahmed Elhadad
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Tanaka Toshiko
- Translational Gerontology BranchNational Institute on AgingBaltimoreMarylandUSA
| | - Yinan Zheng
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Arce Domingo‐Relloso
- Department of Chronic Diseases EpidemiologyNational Center for EpidemiologyCarlos III Health InstituteMadridSpain
- Department of Environmental Health SciencesColumbia University Mailman School of Public HealthNew YorkNew YorkUSA
- Department of Statistics and Operations ResearchUniversity of ValenciaValenciaSpain
| | - Dong Heon Lee
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Jiantao Ma
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
- Nutrition Epidemiology and Data ScienceFriedman School of Nutrition Science and PolicyTufts UniversityBostonMassachusettsUSA
| | - Chen Yao
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Chunyu Liu
- Department of BiostatisticsBoston University School of Public HealthBostonMassachusettsUSA
| | - Shih‐Jen Hwang
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Roby Joehanes
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
| | - Myriam Fornage
- Human Genetics CenterSchool of Public HealthUniversity of Texas Health Science Center at HoustonHoustonTexasUSA
| | - Jan Bressler
- Department of Internal MedicineErasmusRotterdamthe Netherlands
| | | | - Birgit Debrabant
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
| | - Jonas Mengel‐From
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Jacob Hjelmborg
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
| | - Kaare Christensen
- Department of Public HealthEpidemiology, Biostatistics and BiodemographyUniversity of Southern DenmarkOdense CDenmark
- Department of Clinical GeneticsOdense University HospitalOdense CDenmark
| | - Pantel Vokonas
- Veterans AffairsNormative Aging StudyBostonMassachusettsUSA
- Veterans AffairsBoston Healthcare SystemBostonMassachusettsUSA
- Boston University School of Public HealthBostonMassachusettsUSA
| | - Joel Schwartz
- Departments of Environmental Health and EpidemiologyHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - Sina A. Gahrib
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
- Department of PsychologyUniv of EdinburghEdinburghUK
| | - Nona Sotoodehnia
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Colleen M. Sitlani
- Cardiovascular Health Research UnitDepartment of MedicineUniversity of WashingtonSeattleWashingtonUSA
| | - Sonja Kunze
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
| | - Christian Gieger
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Annette Peters
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
- German Center for Diabetes Research (DZD)München‐Neuherberg, NeuherbergGermany
- Institute of Medical Information Sciences, Biometry and EpidemiologyLudwig‐Maximilians‐UniversityMunichGermany
| | - Melanie Waldenberger
- Research Unit of Molecular EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- Institute of EpidemiologyHelmholtz Zentrum MünchenGerman Research Center for Environmental HealthNeuherbergGermany
- German Research Center for Cardiovascular Disease (DZHK)Partner Site Munich Heart AllianceMunichGermany
| | - Ian J. Deary
- Division of PulmonaryCritical Care and Sleep MedicineCenter for Lung BiologyUniversity of WashingtonSeattleWashingtonUSA
| | - Luigi Ferrucci
- Translational Gerontology BranchNational Institute on AgingBaltimoreMarylandUSA
| | - Yishu Qu
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Philip Greenland
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Donald M. Lloyd‐Jones
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | - Lifang Hou
- Department of Preventive MedicineNorthwestern University Feinberg School of MedicineChicagoIllinoisUSA
| | | | - Trudy Voortman
- Department of EpidemiologyErasmus University Medical CenterRotterdamthe Netherlands
| | - Brenner Hermann
- Division of Clinical Epidemiology & Aging ResearchGerman Cancer Rsrch Ctr (DKFZ)HeidelbergGermany
- Network Aging Research (NAR)University of HeidelbergHeidelbergGermany
| | - Andrea Baccarelli
- Precision Medicine ProgramDepartment of Environmental Health SciencesMailman School of Public HealthColumbia UniversityNew YorkNew YorkUSA
| | - Eric Whitsel
- Department of EpidemiologyGillings School of Global Public HealthUniversity of North CarolinaChapel HillNorth CarolinaUSA
- Department of MedicineSchool of MedicineUniversity of North CarolinaChapel HillNorth CarolinaUSA
| | - James S. Pankow
- Division of Epidemiology & Community HealthSchool of Public HealthUniversity of MinnesotaMinneapolisMinnesotaUSA
| | - Daniel Levy
- The Framingham Heart StudyFraminghamMassachusettsUSA
- The Population Sciences BranchDivision of Intramural ResearchNational Heart, Lung, and Blood InstituteNational Institutes of HealthBethesdaMarylandUSA
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11
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Nicholson S, Baccarelli A, Prada D. Role of brain extracellular vesicles in air pollution-related cognitive impairment and neurodegeneration. Environ Res 2022; 204:112316. [PMID: 34728237 PMCID: PMC8671239 DOI: 10.1016/j.envres.2021.112316] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [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: 02/07/2021] [Revised: 09/15/2021] [Accepted: 10/28/2021] [Indexed: 05/07/2023]
Abstract
A relationship between environmental exposure to air pollution and cognitive impairment and neurological disorders has been described. Previous literature has focused on the direct effects of the air pollution components on neuronal and glial cells, as well as on involvement of oxidative stress and neuroinflammation on microglia and astrocyte reactivity. However, other mechanisms involved in the air pollution effects on central nervous system (CNS) toxicity can be playing critical roles. Increasingly, extracellular vesicle's (EVs) mediated intercellular communication is being recognized as impacting the development of cognitive impairment and neurological disorders like Alzheimer's disease and others. Here we describe the available evidence about toxic air pollutants and its components on brain, an involvement of brain cells specific and EVs types (based in the origin or in the size of EVs) in the initiation, exacerbation, and propagation of the neurotoxic effects (inflammation, neurodegeneration, and accumulation of neurotoxic proteins) induced by air pollution in the CNS. Additionally, we discuss the identification and isolation of neural-derived EVs from human plasma, the most common markers for neural-derived EVs, and their potential for use as diagnostic or therapeutic molecules for air pollution-related cognitive impairment and neurodegeneration.
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Affiliation(s)
- Stacia Nicholson
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, 10032, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, 10032, USA
| | - Diddier Prada
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, 10032, USA; Instituto Nacional de Cancerología, Mexico City, 14080, Mexico.
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12
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Zheng Y, Habes M, Gonzales M, Pomponio R, Nasrallah I, Khan S, Vaughan DE, Davatzikos C, Seshadri S, Launer L, Sorond F, Sedaghat S, Wainwright D, Baccarelli A, Sidney S, Bryan N, Greenland P, Lloyd-Jones D, Yaffe K, Hou L. Mid-life epigenetic age, neuroimaging brain age, and cognitive function: coronary artery risk development in young adults (CARDIA) study. Aging (Albany NY) 2022; 14:1691-1712. [PMID: 35220276 PMCID: PMC8908939 DOI: 10.18632/aging.203918] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [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: 07/07/2021] [Accepted: 02/08/2022] [Indexed: 11/25/2022]
Abstract
The proportion of aging populations affected by dementia is increasing. There is an urgent need to identify biological aging markers in mid-life before symptoms of age-related dementia present for early intervention to delay the cognitive decline and the onset of dementia. In this cohort study involving 1,676 healthy participants (mean age 40) with up to 15 years of follow up, we evaluated the associations between cognitive function and two classes of novel biological aging markers: blood-based epigenetic aging and neuroimaging-based brain aging. Both accelerated epigenetic aging and brain aging were prospectively associated with worse cognitive outcomes. Specifically, every year faster epigenetic or brain aging was on average associated with 0.19-0.28 higher (worse) Stroop score, 0.04-0.05 lower (worse) RAVLT score, and 0.23-0.45 lower (worse) DSST (all false-discovery-rate-adjusted p <0.05). While epigenetic aging is a more stable biomarker with strong long-term predictive performance for cognitive function, brain aging biomarker may change more dynamically in temporal association with cognitive decline. The combined model using epigenetic and brain aging markers achieved the highest accuracy (AUC: 0.68, p<0.001) in predicting global cognitive function status. Accelerated epigenetic age and brain age at midlife may aid timely identification of individuals at risk for accelerated cognitive decline and promote the development of interventions to preserve optimal functioning across the lifespan.
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Affiliation(s)
- Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Mohamad Habes
- Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Mitzi Gonzales
- Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
| | - Raymond Pomponio
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Ilya Nasrallah
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sadiya Khan
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
- Division of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Douglas E. Vaughan
- Feinberg Cardiovascular Research Institute, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Christos Davatzikos
- Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Sudha Seshadri
- Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio, San Antonio, TX 78229, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA 02118, USA
| | - Lenore Launer
- Laboratory of Epidemiology and Population Science, Intramural Research Program, National Institute on Aging, National Institutes of Health, Bethesda, MD 20892, USA
| | - Farzaneh Sorond
- Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Derek Wainwright
- Departments of Neurological Surgery, Medicine-Hematology and Oncology, Microbiology-Immunology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Stephen Sidney
- Kaiser Permanente Division of Research, Oakland, CA 94612, USA
| | - Nick Bryan
- Department of Diagnostic Medicine, Dell Medical School, University of Texas at Austin, Austin, TX 78712, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Kristine Yaffe
- Departments of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA 94143, USA
- Department of Neurology University of California, San Francisco, CA 94143, USA
- Department of Epidemiology and Biostatistics, University of California San Francisco, CA 94143, USA
- San Francisco VA Medical Center, San Francisco, CA 94143, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
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13
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Belsky DW, Caspi A, Corcoran DL, Sugden K, Poulton R, Arseneault L, Baccarelli A, Chamarti K, Gao X, Hannon E, Harrington HL, Houts R, Kothari M, Kwon D, Mill J, Schwartz J, Vokonas P, Wang C, Williams BS, Moffitt TE. DunedinPACE, a DNA methylation biomarker of the pace of aging. eLife 2022; 11:e73420. [PMID: 35029144 PMCID: PMC8853656 DOI: 10.7554/elife.73420] [Citation(s) in RCA: 178] [Impact Index Per Article: 89.0] [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: 08/27/2021] [Accepted: 12/13/2021] [Indexed: 01/09/2023] Open
Abstract
Background Measures to quantify changes in the pace of biological aging in response to intervention are needed to evaluate geroprotective interventions for humans. Previously, we showed that quantification of the pace of biological aging from a DNA-methylation blood test was possible (Belsky et al., 2020). Here, we report a next-generation DNA-methylation biomarker of Pace of Aging, DunedinPACE (for Pace of Aging Calculated from the Epigenome). Methods We used data from the Dunedin Study 1972-1973 birth cohort tracking within-individual decline in 19 indicators of organ-system integrity across four time points spanning two decades to model Pace of Aging. We distilled this two-decade Pace of Aging into a single-time-point DNA-methylation blood-test using elastic-net regression and a DNA-methylation dataset restricted to exclude probes with low test-retest reliability. We evaluated the resulting measure, named DunedinPACE, in five additional datasets. Results DunedinPACE showed high test-retest reliability, was associated with morbidity, disability, and mortality, and indicated faster aging in young adults with childhood adversity. DunedinPACE effect-sizes were similar to GrimAge Clock effect-sizes. In analysis of incident morbidity, disability, and mortality, DunedinPACE and added incremental prediction beyond GrimAge. Conclusions DunedinPACE is a novel blood biomarker of the pace of aging for gerontology and geroscience. Funding This research was supported by US-National Institute on Aging grants AG032282, AG061378, AG066887, and UK Medical Research Council grant MR/P005918/1.
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Affiliation(s)
- Daniel W Belsky
- Department of Epidemiology & Butler Columbia Aging Center, Columbia UniversityNew YorkUnited States
| | - Avshalom Caspi
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Richie Poulton
- Department of Psychology, University of OtagoOtagoNew Zealand
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, King's College LondonLondonUnited Kingdom
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia UniversityNew YorkUnited States
| | - Kartik Chamarti
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Xu Gao
- Department of Occupational and Environmental Health, Peking UniversityBeijingChina
| | - Eilis Hannon
- Complex Disease Epigenetics Group, University of ExeterExeterUnited Kingdom
| | - Hona Lee Harrington
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Meeraj Kothari
- Robert N Butler Columbia Aging Center, Columbia UniversityBrooklynUnited States
| | - Dayoon Kwon
- Robert N Butler Columbia Aging Center, Columbia UniversityNew YorkUnited States
| | - Jonathan Mill
- Complex Disease Epigenetics Group, University of ExeterExeterUnited Kingdom
| | - Joel Schwartz
- Department of Environmental Health Sciences, Harvard TH Chan School of Public Health, Harvard UniversityBostonUnited States
| | - Pantel Vokonas
- Department of Medicine, VA Boston Healthcare SystemBostonUnited States
| | - Cuicui Wang
- Department of Environmental Health Sciences, Harvard TH Chan School of Public Health, Harvard UniversityBostonUnited States
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Terrie E Moffitt
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
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14
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Turpin BJ, Baccarelli A, Dockery DW, Dolinoy DC, Levy JI, Liu Y, Perry MJ, Remais JV, Wills-Karp M. Department Chairs Weigh In: Environmental Health Education Is More Essential Than Ever. Am J Public Health 2022; 112:75-76. [PMID: 34936417 PMCID: PMC8713637 DOI: 10.2105/ajph.2021.306613] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/22/2021] [Indexed: 11/04/2022]
Affiliation(s)
- Barbara J Turpin
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Andrea Baccarelli
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Douglas W Dockery
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Dana C Dolinoy
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Jonathan I Levy
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Yang Liu
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Melissa J Perry
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Justin V Remais
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Marsha Wills-Karp
- All of the authors are chairs of environmental health and science departments in schools of public health. Barbara J. Turpin is with the Gillings School of Global Public Health, University of North Carolina, Chapel Hill. Andrea Baccarelli is with the Mailman School of Public Health, Columbia University, New York, NY. Douglas W. Dockery is with Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA. Dana C. Dolinoy is with the School of Public Health, University of Michigan, Ann Arbor. Jonathan I. Levy is with the School of Public Health, Boston University, Boston, MA. Yang Liu is with the Rollins School of Public Health, Emory University, Atlanta, GA. Melissa J. Perry is with the Milken Institute School of Public Health, George Washington University, Washington, DC. Justin V. Remais is with the School of Public Health, University of California, Berkeley. Marsha Wills-Karp is with the Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
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15
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Solomon O, Huen K, Yousefi P, Küpers LK, González JR, Suderman M, Reese SE, Page CM, Gruzieva O, Rzehak P, Gao L, Bakulski KM, Novoloaca A, Allard C, Pappa I, Llambrich M, Vives M, Jima DD, Kvist T, Baccarelli A, White C, Rezwan FI, Sharp GC, Tindula G, Bergström A, Grote V, Dou JF, Isaevska E, Magnus MC, Corpeleijn E, Perron P, Jaddoe VWV, Nohr EA, Maitre L, Foraster M, Hoyo C, Håberg SE, Lahti J, DeMeo DL, Zhang H, Karmaus W, Kull I, Koletzko B, Feinberg JI, Gagliardi L, Bouchard L, Ramlau-Hansen CH, Tiemeier H, Santorelli G, Maguire RL, Czamara D, Litonjua AA, Langhendries JP, Plusquin M, Lepeule J, Binder EB, Verduci E, Dwyer T, Carracedo Á, Ferre N, Eskenazi B, Kogevinas M, Nawrot TS, Munthe-Kaas MC, Herceg Z, Relton C, Melén E, Gruszfeld D, Breton C, Fallin MD, Ghantous A, Nystad W, Heude B, Snieder H, Hivert MF, Felix JF, Sørensen TIA, Bustamante M, Murphy SK, Raikkönen K, Oken E, Holloway JW, Arshad SH, London SJ, Holland N. Meta-analysis of epigenome-wide association studies in newborns and children show widespread sex differences in blood DNA methylation. Mutat Res Rev Mutat Res 2022; 789:108415. [PMID: 35690418 PMCID: PMC9623595 DOI: 10.1016/j.mrrev.2022.108415] [Citation(s) in RCA: 6] [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] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Revised: 02/27/2022] [Accepted: 03/08/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Among children, sex-specific differences in disease prevalence, age of onset, and susceptibility have been observed in health conditions including asthma, immune response, metabolic health, some pediatric and adult cancers, and psychiatric disorders. Epigenetic modifications such as DNA methylation may play a role in the sexual differences observed in diseases and other physiological traits. METHODS We performed a meta-analysis of the association of sex and cord blood DNA methylation at over 450,000 CpG sites in 8438 newborns from 17 cohorts participating in the Pregnancy And Childhood Epigenetics (PACE) Consortium. We also examined associations of child sex with DNA methylation in older children ages 5.5-10 years from 8 cohorts (n = 4268). RESULTS In newborn blood, sex was associated at Bonferroni level significance with differences in DNA methylation at 46,979 autosomal CpG sites (p < 1.3 × 10-7) after adjusting for white blood cell proportions and batch. Most of those sites had lower methylation levels in males than in females. Of the differentially methylated CpG sites identified in newborn blood, 68% (31,727) met look-up level significance (p < 1.1 × 10-6) in older children and had methylation differences in the same direction. CONCLUSIONS This is a large-scale meta-analysis examining sex differences in DNA methylation in newborns and older children. Expanding upon previous studies, we replicated previous findings and identified additional autosomal sites with sex-specific differences in DNA methylation. Differentially methylated sites were enriched in genes involved in cancer, psychiatric disorders, and cardiovascular phenotypes.
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Affiliation(s)
- Olivia Solomon
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Karen Huen
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA.
| | - Paul Yousefi
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Leanne K Küpers
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Juan R González
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Sarah E Reese
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Christian M Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Peter Rzehak
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Lu Gao
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - Kelly M Bakulski
- School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Catherine Allard
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, QC, Canada
| | - Irene Pappa
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus Medical Center, Sophia Children's Hospital, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Maria Llambrich
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Marta Vives
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr. Aiguader 88, Barcelona 08003, Spain
| | - Dereje D Jima
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27606, USA; Bioinformatics Research Center, North Carolina State University, Raleigh, NC 27606, USA
| | - Tuomas Kvist
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Cory White
- Merck Exploratory Science Center, Merck Research Laboratories, Cambridge, MA 02141, USA
| | - Faisal I Rezwan
- Department of Computer Science, Aberystwyth University, Aberystwyth, Ceredigion, SY23 3DB, United Kingdom; Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Gwen Tindula
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Sweden
| | - Veit Grote
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - John F Dou
- School of Public Health, University of Michigan, Ann Arbor, MI 48109, USA
| | - Elena Isaevska
- Cancer Epidemiology Unit, Department of Medical Sciences, University of Turin, Turin, Italy
| | - Maria C Magnus
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Eva Corpeleijn
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Patrice Perron
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, QC, Canada; Department of Medicine, Universite de Sherbrooke, QC, Canada
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Ellen A Nohr
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark; Centre of Women's, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway
| | - Lea Maitre
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Maria Foraster
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; PHAGEX Research Group, Blanquerna School of Health Science, Universitat Ramon Llull, Barcelona, Spain
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC 27606, USA; Department of Biological Sciences, North Carolina State University, NC, USA
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics and Environmental Health, School of Public Health, University of Memphis, Memphis, USA
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Berthold Koletzko
- Div. Metabolic and Nutritional Medicine, Dept. Pediatrics, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Jason I Feinberg
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Luigi Gagliardi
- Department of Woman and Child Health, Ospedale Versilia, Azienda USL Toscana Nord Ovest, Viareggio, Italy
| | - Luigi Bouchard
- Department of Biochemistry and Functional Genomics, Université de Sherbrooke, QC, Canada; Department of Medical Biology, CIUSSS Saguenay-Lac-Saint-Jean, Chicoutimi Hospital, Saguenay, QC, Canada
| | | | - Henning Tiemeier
- Department of Child and Adolescent Psychiatry/ Psychology, Erasmus Medical Center, Sophia Children's Hospital, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Social and Behavioral Science, Harvard TH Chan School of Public Health, 677 Huntington Ave, Boston, MA, USA
| | - Gillian Santorelli
- Bradford Institute of Health Research, Bradford Royal Infirmary, Bradford BD9 6RJ, UK
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, NC, USA; Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27701, USA
| | - Darina Czamara
- Dept. Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Augusto A Litonjua
- Division of Pediatric Pulmonology, Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, USA
| | | | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Johanna Lepeule
- Univ. Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, 38000 Grenoble, France
| | - Elisabeth B Binder
- Dept. Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany; Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, USA
| | - Elvira Verduci
- Department of Pediatrics, Ospedale dei Bambini Vittore Buzzi, University of Milan, Milan, Italy; Department of Health Sciences, University of Milan, Milan, Italy
| | - Terence Dwyer
- Clinical Sciences, Heart Group, Murdoch Children's Research Institute, Melbourne, Australia; Department of Pediatrics, University of Melbourne, Melbourne, Australia; Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, UK
| | - Ángel Carracedo
- Grupo de Medicina Xenómica, Fundación Pública Galega de Merdicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela (IDIS), SERGAS, Santiago de Compostela, Spain; Centro de Investigación en Red de Enfermedades Raras (CIBERER) y Centro Nacional de Genotipado (CEGEN-PRB3), Universidad de Santiago de Compostela, Santiago de Compostela, Spain
| | - Natalia Ferre
- Pediatric Nutrition and Human Development Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, CA, USA
| | - Manolis Kogevinas
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium; Department Public Health & Primary care, Leuven University, Belgium
| | - Monica C Munthe-Kaas
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway; Department of Pediatric Oncology and Hematology, Oslo University Hospital, Norway
| | - Zdenko Herceg
- International Agency for Research on Cancer, Lyon, France
| | - Caroline Relton
- MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK
| | - Erik Melén
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden; Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Dariusz Gruszfeld
- Neonatal Department, Children's Memorial Health Institute, Warsaw, Poland
| | - Carrie Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA 90089, USA
| | - M D Fallin
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Akram Ghantous
- International Agency for Research on Cancer, Lyon, France
| | - Wenche Nystad
- Department of Chronic Diseases and Ageing, Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Barbara Heude
- Université de Paris, Centre for Research in Epidemiology and Statistics (CRESS), INSERM, INRAE, F-75004 Paris, France
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, The Netherlands
| | - Marie-France Hivert
- Department of Medicine, Universite de Sherbrooke, QC, Canada; Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA; Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, P.O. Box 2060, 3000 CB Rotterdam, The Netherlands
| | - Thorkild I A Sørensen
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, BS8 2BN, UK; Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark; The Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Mariona Bustamante
- ISGlobal, Barcelona Institute for Global Health, Dr Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Durham, NC 27701, USA
| | - Katri Raikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Finland
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton General Hospital, Southampton, UK; Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK; David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
| | - Stephanie J London
- Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Department of Health and Human Services, Research Triangle Park, NC, USA
| | - Nina Holland
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
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16
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Tin A, Schlosser P, Matias-Garcia PR, Thio CHL, Joehanes R, Liu H, Yu Z, Weihs A, Hoppmann A, Grundner-Culemann F, Min JL, Kuhns VLH, Adeyemo AA, Agyemang C, Ärnlöv J, Aziz NA, Baccarelli A, Bochud M, Brenner H, Bressler J, Breteler MMB, Carmeli C, Chaker L, Coresh J, Corre T, Correa A, Cox SR, Delgado GE, Eckardt KU, Ekici AB, Endlich K, Floyd JS, Fraszczyk E, Gao X, Gào X, Gelber AC, Ghanbari M, Ghasemi S, Gieger C, Greenland P, Grove ML, Harris SE, Hemani G, Henneman P, Herder C, Horvath S, Hou L, Hurme MA, Hwang SJ, Kardia SLR, Kasela S, Kleber ME, Koenig W, Kooner JS, Kronenberg F, Kühnel B, Ladd-Acosta C, Lehtimäki T, Lind L, Liu D, Lloyd-Jones DM, Lorkowski S, Lu AT, Marioni RE, März W, McCartney DL, Meeks KAC, Milani L, Mishra PP, Nauck M, Nowak C, Peters A, Prokisch H, Psaty BM, Raitakari OT, Ratliff SM, Reiner AP, Schöttker B, Schwartz J, Sedaghat S, Smith JA, Sotoodehnia N, Stocker HR, Stringhini S, Sundström J, Swenson BR, van Meurs JBJ, van Vliet-Ostaptchouk JV, Venema A, Völker U, Winkelmann J, Wolffenbuttel BHR, Zhao W, Zheng Y, Loh M, Snieder H, Waldenberger M, Levy D, Akilesh S, Woodward OM, Susztak K, Teumer A, Köttgen A. Epigenome-wide association study of serum urate reveals insights into urate co-regulation and the SLC2A9 locus. Nat Commun 2021; 12:7173. [PMID: 34887389 PMCID: PMC8660809 DOI: 10.1038/s41467-021-27198-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 03/17/2021] [Accepted: 11/08/2021] [Indexed: 12/25/2022] Open
Abstract
Elevated serum urate levels, a complex trait and major risk factor for incident gout, are correlated with cardiometabolic traits via incompletely understood mechanisms. DNA methylation in whole blood captures genetic and environmental influences and is assessed in transethnic meta-analysis of epigenome-wide association studies (EWAS) of serum urate (discovery, n = 12,474, replication, n = 5522). The 100 replicated, epigenome-wide significant (p < 1.1E-7) CpGs explain 11.6% of the serum urate variance. At SLC2A9, the serum urate locus with the largest effect in genome-wide association studies (GWAS), five CpGs are associated with SLC2A9 gene expression. Four CpGs at SLC2A9 have significant causal effects on serum urate levels and/or gout, and two of these partly mediate the effects of urate-associated GWAS variants. In other genes, including SLC7A11 and PHGDH, 17 urate-associated CpGs are associated with conditions defining metabolic syndrome, suggesting that these CpGs may represent a blood DNA methylation signature of cardiometabolic risk factors. This study demonstrates that EWAS can provide new insights into GWAS loci and the correlation of serum urate with other complex traits.
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Affiliation(s)
- Adrienne Tin
- Department of Medicine, University of Mississippi Medical Center, Jackson, 39216, MS, USA.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Pascal Schlosser
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Roby Joehanes
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Hongbo Liu
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | | | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Nasir A Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Andrea Baccarelli
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Hermann Brenner
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jan Bressler
- 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, 77030, TX, USA
| | - Monique M B Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Cristian Carmeli
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanguy Corre
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, 39216, MS, USA
| | - Simon R Cox
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-UniversitätErlangen-Nürnberg, 91054, Erlangen, Germany
| | - Karlhans Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, 98101, WA, USA
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Gao
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xīn Gào
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
| | - Allan C Gelber
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Megan L Grove
- 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, 77030, TX, USA
| | - Sarah E Harris
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Henneman
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Division of Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, 90095, CA, USA
- Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, MA, USA
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Silva Kasela
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Jaspal S Kooner
- National Heart and Lung Institute, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
| | - Christine Ladd-Acosta
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Stefan Lorkowski
- Institute of Nutritional Sciences, Friedrich Schiller University Jena, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, 90095, CA, USA
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Karlijn A C Meeks
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Ludwig-Maximilians Universität München, Munich, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Computational Health, Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, 98101, WA, USA
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
- Department of Health Services, University of Washington, Seattle, 98101, WA, USA
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, 98101, WA, USA
| | - Ben Schöttker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
| | - Hannah R Stocker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Silvia Stringhini
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia
| | - Brenton R Swenson
- Cardiovascular Health Research Unit, University of Washington, Seattle, 98101, WA, USA
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Uwe Völker
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Chair Neurogenetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, 48109, MI, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, D-85764, Bavaria, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Shreeram Akilesh
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, USA
| | - Owen M Woodward
- Department of Physiology, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, PA, USA
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
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17
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Schlosser P, Tin A, Matias-Garcia PR, Thio CHL, Joehanes R, Liu H, Weihs A, Yu Z, Hoppmann A, Grundner-Culemann F, Min JL, Adeyemo AA, Agyemang C, Ärnlöv J, Aziz NA, Baccarelli A, Bochud M, Brenner H, Breteler MMB, Carmeli C, Chaker L, Chambers JC, Cole SA, Coresh J, Corre T, Correa A, Cox SR, de Klein N, Delgado GE, Domingo-Relloso A, Eckardt KU, Ekici AB, Endlich K, Evans KL, Floyd JS, Fornage M, Franke L, Fraszczyk E, Gao X, Gào X, Ghanbari M, Ghasemi S, Gieger C, Greenland P, Grove ML, Harris SE, Hemani G, Henneman P, Herder C, Horvath S, Hou L, Hurme MA, Hwang SJ, Jarvelin MR, Kardia SLR, Kasela S, Kleber ME, Koenig W, Kooner JS, Kramer H, Kronenberg F, Kühnel B, Lehtimäki T, Lind L, Liu D, Liu Y, Lloyd-Jones DM, Lohman K, Lorkowski S, Lu AT, Marioni RE, März W, McCartney DL, Meeks KAC, Milani L, Mishra PP, Nauck M, Navas-Acien A, Nowak C, Peters A, Prokisch H, Psaty BM, Raitakari OT, Ratliff SM, Reiner AP, Rosas SE, Schöttker B, Schwartz J, Sedaghat S, Smith JA, Sotoodehnia N, Stocker HR, Stringhini S, Sundström J, Swenson BR, Tellez-Plaza M, van Meurs JBJ, van Vliet-Ostaptchouk JV, Venema A, Verweij N, Walker RM, Wielscher M, Winkelmann J, Wolffenbuttel BHR, Zhao W, Zheng Y, Loh M, Snieder H, Levy D, Waldenberger M, Susztak K, Köttgen A, Teumer A. Meta-analyses identify DNA methylation associated with kidney function and damage. Nat Commun 2021; 12:7174. [PMID: 34887417 PMCID: PMC8660832 DOI: 10.1038/s41467-021-27234-3] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [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: 03/25/2021] [Accepted: 11/08/2021] [Indexed: 12/27/2022] Open
Abstract
Chronic kidney disease is a major public health burden. Elevated urinary albumin-to-creatinine ratio is a measure of kidney damage, and used to diagnose and stage chronic kidney disease. To extend the knowledge on regulatory mechanisms related to kidney function and disease, we conducted a blood-based epigenome-wide association study for estimated glomerular filtration rate (n = 33,605) and urinary albumin-to-creatinine ratio (n = 15,068) and detected 69 and seven CpG sites where DNA methylation was associated with the respective trait. The majority of these findings showed directionally consistent associations with the respective clinical outcomes chronic kidney disease and moderately increased albuminuria. Associations of DNA methylation with kidney function, such as CpGs at JAZF1, PELI1 and CHD2 were validated in kidney tissue. Methylation at PHRF1, LDB2, CSRNP1 and IRF5 indicated causal effects on kidney function. Enrichment analyses revealed pathways related to hemostasis and blood cell migration for estimated glomerular filtration rate, and immune cell activation and response for urinary albumin-to-creatinineratio-associated CpGs.
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Affiliation(s)
- Pascal Schlosser
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany.
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Pamela R Matias-Garcia
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Chris H L Thio
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Roby Joehanes
- Framingham Heart Study, Framingham, Massachusetts, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
| | - Hongbo Liu
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Antoine Weihs
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
| | - Zhi Yu
- Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Anselm Hoppmann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Franziska Grundner-Culemann
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
| | - Josine L Min
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Adebowale A Adeyemo
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
- School of Health and Social Studies, Dalarna University, Falun, Sweden
| | - Nasir A Aziz
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Department of Neurology, Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Andrea Baccarelli
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Murielle Bochud
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Hermann Brenner
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Monique M B Breteler
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
- Institute for Medical Biometry, Informatics and Epidemiology (IMBIE), Faculty of Medicine, University of Bonn, Bonn, Germany
| | - Cristian Carmeli
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
- Population Health Laboratory, University of Fribourg, Fribourg, Switzerland
| | - Layal Chaker
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
| | | | - Josef Coresh
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Tanguy Corre
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - Simon R Cox
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Niek de Klein
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Graciela E Delgado
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Arce Domingo-Relloso
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
- Department of Statistics and Operations Research, University of Valencia, Valencia, Spain
| | - Kai-Uwe Eckardt
- Department of Nephrology and Hypertension, University of Erlangen-Nürnberg, Erlangen, Germany
- Department of Nephrology and Medical Intensive Care, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Arif B Ekici
- Institute of Human Genetics, Friedrich-Alexander-UniversitätErlangen-Nürnberg, 91054, Erlangen, Germany
| | - Karlhans Endlich
- Department of Anatomy and Cell Biology, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - James S Floyd
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, Houston, TX, 77030, USA
- 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, 77030, USA
| | - Lude Franke
- Department of Genetics, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
- Oncode Institute, Utrecht, the Netherlands
| | - Eliza Fraszczyk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Xu Gao
- Laboratory of Environmental Precision Health, Mailman School of Public Health, Columbia University, New York, NY, USA
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, China
| | - Xīn Gào
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Sahar Ghasemi
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Megan L Grove
- 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, 77030, USA
| | - Sarah E Harris
- Lothian Birth Cohorts Group, Department of Psychology, The University of Edinburgh, 7 George Square, Edinburgh, EH8 9JZ, UK
| | - Gibran Hemani
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Peter Henneman
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Christian Herder
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
- German Center for Diabetes Research, Munich-Neuherberg, Germany
- Department of Endocrinology and Diabetology, Medical Faculty and University Hospital Düsseldorf, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
- Biostatistics, Fielding School of Public Health, UCLA, Los Angeles, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Shih-Jen Hwang
- Framingham Heart Study, Framingham, Massachusetts, USA
- Division of Intramural Research, Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Marjo-Riitta Jarvelin
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
- Center for Life Course Health Research, Faculty of Medicine, University of Oulu, 90014, Oulu, Finland
- Biocenter Oulu, University of Oulu, Oulu, Finland
- Unit of Primary Care, Oulu University Hospital, Oulu, Finland
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Silva Kasela
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Marcus E Kleber
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- SYNLAB MVZ Humangenetik Mannheim, Mannheim, Germany
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner site Munich Heart Alliance, Munich, Germany
- Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Southall, UK
- Imperial College Healthcare NHS Trust, London, UK
- National Heart and Lung Institute, Imperial College London, London, UK
| | - Holly Kramer
- Departments of Public Health Science and Medicine, Loyola University Chicago, Maywood, IL, USA
- Edward Hines VA Medical Center, Hines, IL, USA
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Brigitte Kühnel
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Dan Liu
- Population Health Sciences, German Centre for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Yongmei Liu
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Donald M Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kurt Lohman
- Department of Medicine, Division of Cardiology, Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Stefan Lorkowski
- Institute of Nutritional Sciences, Friedrich Schiller University Jena, Jena, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Winfried März
- Vth Department of Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Competence Cluster for Nutrition and Cardiovascular Health (nutriCARD) Halle-Jena-Leipzig, Jena, Germany
- Synlab Academy, SYNLAB Holding Deutschland GmbH, Mannheim and Augsburg, Augsburg, Germany
- Clinical Institute of Medical and Chemical Laboratory Diagnostics, Medical University of Graz, Graz, Austria
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Karlijn A C Meeks
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ, Amsterdam, the Netherlands
| | - Lili Milani
- Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Matthias Nauck
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society (NVS), Family Medicine and Primary Care Unit, Karolinska Institutet, Huddinge, Sweden
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Ludwig-Maximilians Universität München, Munich, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Department of Computational Health, Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Research centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Scott M Ratliff
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Alex P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
| | - Sylvia E Rosas
- Joslin Diabetes Center, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ben Schöttker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Sanaz Sedaghat
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
| | - Hannah R Stocker
- German Cancer Research Center (DKFZ), Division of Clinical Epidemiology and Aging Research, Heidelberg, Germany
- Network Aging Research, Heidelberg University, Heidelberg, Germany
| | - Silvia Stringhini
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - Brenton R Swenson
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, 98101, USA
- Institute for Public Health Genetics, University of Washington, Seattle, WA, USA
| | - Maria Tellez-Plaza
- Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Joyce B J van Meurs
- Department of Internal Medicine, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Jana V van Vliet-Ostaptchouk
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Andrea Venema
- Department of Clinical Genetics, Amsterdam Reproduction & Development Research Institute, Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, the Netherlands
| | - Niek Verweij
- Department of Cardiology, University Medical Center Groningen, University of Groningen, Hanzeplein 1, Groningen, the Netherlands
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Matthias Wielscher
- Department of Epidemiology and Biostatistics, MRC-PHE Centre for Environment & Health, School of Public Health, Imperial College London, London, UK
| | - Juliane Winkelmann
- Institute of Human Genetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Institute of Neurogenomics, Helmholtz Zentrum München, Munich, Germany
- Chair Neurogenetics, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Department of Epidemiology and Biostatistics, Imperial College London, London, UK
| | - Harold Snieder
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Daniel Levy
- Framingham Heart Study, Framingham, Massachusetts, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, US
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, D-85764, Neuherberg, Bavaria, Germany
- Institute of Epidemiology, 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, Germany
| | - Katalin Susztak
- Department of Medicine and Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, 19104, USA
| | - Anna Köttgen
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center - University of Freiburg, Freiburg, Germany
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alexander Teumer
- DZHK (German Centre for Cardiovascular Research), Partner Site Greifswald, Greifswald, Germany.
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
- Department of Population Medicine and Lifestyle Diseases Prevention, Medical University of Bialystok, Bialystok, Poland.
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18
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Colicino E, de Water E, Just AC, Navarro E, Pedretti NF, McRae N, Braun JM, Schnaas L, Rodríguez-Carmona Y, Hernández C, Tamayo-Ortiz M, Téllez-Rojo MM, Deierlein AL, Calafat AM, Baccarelli A, Wright RO, Horton MK. Prenatal urinary concentrations of phthalate metabolites and behavioral problems in Mexican children: The Programming Research in Obesity, Growth Environment and Social Stress (PROGRESS) study. Environ Res 2021; 201:111338. [PMID: 34051199 PMCID: PMC9234946 DOI: 10.1016/j.envres.2021.111338] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 01/12/2021] [Revised: 04/20/2021] [Accepted: 05/12/2021] [Indexed: 05/17/2023]
Abstract
BACKGROUND Phthalate exposure has been associated with increased childhood behavioral problems. Existing studies failed to include phthalate replacements and did not account for high correlations among phthalates. Phthalates' exposure is higher in Mexico than in U.S. locations, making it an ideal target population for this study. AIM To examine associations between 15 maternal prenatal phthalate metabolite concentrations and children's behavioral problems. METHODS We quantified phthalate metabolites in maternal urine samples from maternal-child dyads (n = 514) enrolled in the Programming Research in Obesity, Growth Environment and Social Stress (PROGRESS) birth cohort in Mexico City. We performed least absolute shrinkage and selection operator (LASSO) regressions to identify associations between specific-gravity adjusted log2-transformed phthalate metabolites and parent-reported 4-6 year old behavior on the Behavior Assessment System for Children (BASC-2), accounting for metabolite correlations. We adjusted for socio-demographic and birth-related factors, and examined associations stratified by sex. RESULTS Higher prenatal mono-2-ethyl-5-carboxypentyl terephthalate (MECPTP) urinary concentrations were associated with increased hyperactivity scores in the overall sample (β = 0.57, 95% CI = 0.17, 1.13) and in girls (β = 0.54, 95% CI = 0.16, 1.08), overall behavioral problems in boys (β = 0.58, 95% CI = 0.20, 1.15), and depression scores in boys (β = 0.44, 95% CI = 0.06, 0.88). Higher prenatal monobenzyl phthalate (MBzP) concentrations were associated with reduced hyperactivity scores in girls (ß = -0.54, 95% CI = -1.08, -0.21). DISCUSSION Our findings suggested that prenatal concentrations of phthalates and their replacements altered child neurodevelopment and those associations may be influenced sex.
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Affiliation(s)
- Elena Colicino
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Erik de Water
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Allan C Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Esmeralda Navarro
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | | | - Nia McRae
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Joseph M Braun
- Department of Epidemiology, Brown University, Providence, RI, United States.
| | - Lourdes Schnaas
- National Institute of Perinatology (INPer), Mexico City, Mexico.
| | - Yanelli Rodríguez-Carmona
- Department of Nutritional Sciences, School of Public Health, University of Michigan, Ann Arbor, MI, United States.
| | - Carmen Hernández
- National Institute of Perinatology (INPer), Mexico City, Mexico.
| | | | | | - Andrea L Deierlein
- College of Global Public Health, New York University, New York, NY, United States.
| | - Antonia M Calafat
- Centers for Disease Control and Prevention, Atlanta, GA, United States.
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University, New York, NY, United States.
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
| | - Megan K Horton
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
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19
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Joyce BT, Gao T, Koss K, Zheng Y, Cardenas A, Heiss J, Just A, Zhang K, van Horn L, Allen NB, Greenland P, Cohen S, Gordon-Larsen P, Mitchell C, McLanahan S, Schneper L, Notterman D, Rifas-Shiman SL, Oken E, Hivert MF, Wright R, Baccarelli A, Lloyd-Jones D, Hou L. Impact of paternal education on epigenetic ageing in adolescence and mid-adulthood: a multi-cohort study in the USA and Mexico. Int J Epidemiol 2021; 51:870-884. [PMID: 34534313 DOI: 10.1093/ije/dyab196] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/26/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Both parental and neighbourhood socio-economic status (SES) are linked to poorer health independently of personal SES measures, but the biological mechanisms are unclear. Our objective was to examine these influences via epigenetic age acceleration (EAA)-the discrepancy between chronological and epigenetic ages. METHODS We examined three USA-based [Coronary Artery Risk Disease in Adults (CARDIA) study, Fragile Families and Child Wellbeing Study (FFCWS) and Programming Research in Obesity, Growth, Environment and Social Stressors (PROGRESS)] and one Mexico-based (Project Viva) cohort. DNA methylation was measured using Illumina arrays, personal/parental SES by questionnaire and neighbourhood disadvantage from geocoded address. In CARDIA, we examined the most strongly associated personal, parental and neighbourhood SES measures with EAA (Hannum's method) at study years 15 and 20 separately and combined using a generalized estimating equation (GEE) and compared with other EAA measures (Horvath's EAA, PhenoAge and GrimAge calculators, and DunedinPoAm). RESULTS EAA was associated with paternal education in CARDIA [GEEs: βsome college = -1.01 years (-1.91, -0.11) and β<high school = 1.05 (0.09, 2.01) vs college graduates] and FFCWS [GEEs: β<high school = 0.62 (0.00, 1.24)]. We found stronger associations for some paternal education categories among White adults (for GEE, βsome college = -1.39 (-2.41, -0.38)], men (βsome college = -1.76 (-3.16, -0.35)] and women [β<high school = 1.77 (0.42, 3.11)]. CONCLUSIONS These findings suggest that EAA captures epigenetic impacts of paternal education independently of personal SES later in life. Longitudinal studies should explore these associations at different life stages and link them to health outcomes. EAA could be a useful biomarker of SES-associated health and provide important insight into the pathogenesis and prevention of chronic disease.
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Affiliation(s)
- Brian T Joyce
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Tao Gao
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Kalsea Koss
- Department of Human Development and Family Science, University of Georgia, Athens, GA, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - Kai Zhang
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Linda van Horn
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Norrina Bai Allen
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Philip Greenland
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sheldon Cohen
- Department of Psychology, Carnegie Mellon University, Pittsburgh, PA, USA
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Colter Mitchell
- Center for Human Growth and Development, University of Michigan, Ann Arbor, MI, USA
| | - Sara McLanahan
- Department of Sociology, Princeton University, Princeton, NJ, USA
| | - Lisa Schneper
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Daniel Notterman
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Department of Endocrinology, Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Robert Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mt. Sinai, New York, NY, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University, New York, NY, USA
| | - Donald Lloyd-Jones
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.,Center for Global Oncology, Institute for Global Health, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
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20
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Joyce BT, Liu H, Wang L, Wang J, Zheng Y, Nannini D, Drong A, Shiau S, Li W, Leng J, Shen Y, Gao R, Baccarelli A, Hu G, Hou L. Novel epigenetic link between gestational diabetes mellitus and macrosomia. Epigenomics 2021; 13:1221-1230. [PMID: 34337972 DOI: 10.2217/epi-2021-0096] [Citation(s) in RCA: 3] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background & objectives: Examine maternal gestational diabetes mellitus (GDM), macrosomia and DNA methylation in candidate genes IGF1, IGF2, H19, ARHGRF11, MEST, NR3C1, ADIPOQ and RETN. Materials & methods: A total of 1145 children (572 GDM cases and 573 controls) from the Tianjin GDM study, including 177 with macrosomia, had blood DNA collection at median age 5.9 (range: 3.1-10.0). We used logistic regression to screen for associations with GDM and model macrosomia on 37 CpGs, and performed mediation analysis. Results: One CpG was associated with macrosomia at false discovery rate (FDR) <0.05 (cg14428359 in MEST); two (cg19466922 in MEST and cg26263166 in IGF2) were associated at p < 0.05 but mediated 26 and 13%, respectively. Conclusion: MEST and IGF2 were previously identified for potential involvement in fetal growth and development (Trial Registration number: NCT01554358 [ClinicalTrials.gov]).
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Affiliation(s)
- Brian T Joyce
- Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Huikun Liu
- Tianjin Women's & Children's Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women's & Children's Health Center, Tianjin, China
| | - Jun Wang
- Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Drew Nannini
- Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Alex Drong
- Big Data Institute, University of Oxford, Oxford, UK.,Department of Environmental Health Science, Mailman School of Public Health, Columbia University, NY, 10032, USA
| | - Stephanie Shiau
- Department of Biostatistics & Epidemiology, Rutgers School of Public Health, Piscataway, NJ, 08854, USA
| | - Weiqin Li
- Tianjin Women's & Children's Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women's & Children's Health Center, Tianjin, China
| | - Yun Shen
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA.,Department of Endocrinology & Metabolism, Shanghai Jiao Tong University Affiliated Six People's Hospital, Shanghai, China
| | - Ru Gao
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Andrea Baccarelli
- Department of Environmental Health Science, Mailman School of Public Health, Columbia University, NY, 10032, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, 70808, USA
| | - Lifang Hou
- Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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21
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Chiu Y, Fadadu RP, Gaskins AJ, Rifas‐Shiman SL, Laue HE, Moley KH, Hivert M, Baccarelli A, Oken E, Chavarro JE, Cardenas A. Dietary fat intake during early pregnancy is associated with cord blood DNA methylation at IGF2 and H19 genes in newborns. Environ Mol Mutagen 2021; 62:388-398. [PMID: 34288135 PMCID: PMC8364885 DOI: 10.1002/em.22452] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [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: 04/04/2021] [Revised: 07/11/2021] [Accepted: 07/16/2021] [Indexed: 05/03/2023]
Abstract
Maternal fat intake during pregnancy affects fetal growth, but mechanisms underlying this relationship are unclear. We performed an exploratory study of the associations of fat consumption during pregnancy with cord blood DNA methylation of the insulin-like growth factor 2 (IGF2) and H19 genes. We used data from 96 uncomplicated full-term pregnancies of mothers of whom majority had normal body mass index (BMI) (66%) in Project Viva, a prospective pre-birth cohort. We assessed maternal diet with validated food frequency questionnaires during the first and second trimesters and measured DNA methylation in segments of the IGF2- and H19-differentially methylated regions (DMRs) by pyrosequencing DNA extracted from umbilical cord blood samples. Mean (SD) age was 32.8 (4.1) years and prepregnancy BMI was 24.0 (4.4) kg/m2 . Mean DNA methylation was 56.3% (3.9%) for IGF2-DMR and 44.6% (1.9%) for H19-DMR. Greater first trimester intake of omega-6 polyunsaturated fat (effect per 1% of calories at the expense of carbohydrates) was associated with lower DNA methylation of IGF2-DMR (-1.2%; 95% confidence interval [CI]: -2.2%, -0.2%) and higher DNA methylation at H19-DMR (0.8%; 95% CI: 0.3%, 1.3%). On the other hand, greater first trimester intake of omega-3 polyunsaturated fat was associated with lower DNA methylation of the H19-DMR (-4.3%; 95% CI: -7.9%, -0.8%). We did not find significant associations of IGF2 and H19 methylation with IGF2 cord blood levels. Our findings suggest that early prenatal fat intake (omega-3, omega-6, and saturated fatty acids) may influence DNA methylation at the IGF2 and H19 locus, which could impact fetal development and long-term health.
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Affiliation(s)
- Yu‐Han Chiu
- Department of EpidemiologyHarvard TH Chan School of Public HealthBostonMassachusettsUSA
| | - Raj P. Fadadu
- School of MedicineUniversity of California, San FranciscoSan FranciscoCaliforniaUSA
- Division of Environmental Health SciencesUniversity of California, Berkeley School of Public Health, BerkeleyBerkeleyCaliforniaUSA
| | - Audrey J. Gaskins
- Department of EpidemiologyRollins School of Public Health, Emory UniversityAtlantaGeorgiaUSA
| | - Sheryl L. Rifas‐Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
| | - Hannah E. Laue
- Department of EpidemiologyGeisel School of Medicine at Dartmouth CollegeHanoverNew HampshireUSA
| | - Kelle H. Moley
- Department of Obstetrics and GynecologyWashington University School of MedicineSt. LouisMissouriUSA
| | - Marie‐France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
- Diabetes Unit, Massachusetts General HospitalBostonMassachusettsUSA
| | - Andrea Baccarelli
- Department of Environmental Health SciencesMailman School of Public Health, Columbia UniversityNew York CityNew YorkUSA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population MedicineHarvard Medical School and Harvard Pilgrim Health Care InstituteBostonMassachusettsUSA
| | - Jorge E. Chavarro
- Department of EpidemiologyHarvard TH Chan School of Public HealthBostonMassachusettsUSA
- Department of NutritionHarvard TH Chan School of Public HealthBostonMassachusettsUSA
- Channing Division of Network Medicine, Department of MedicineBrigham and Women's Hospital and Harvard Medical SchoolBostonMassachusettsUSA
| | - Andres Cardenas
- Division of Environmental Health SciencesUniversity of California, Berkeley School of Public Health, BerkeleyBerkeleyCaliforniaUSA
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22
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Osorio-Yáñez C, Sanchez-Guerra M, Solano M, Baccarelli A, Wright R, Sanders AP, Tellez-Rojo MM, Tamayo-Ortiz M. Metal exposure and bone remodeling during pregnancy: Results from the PROGRESS cohort study. Environ Pollut 2021; 282:116962. [PMID: 33823308 PMCID: PMC11064930 DOI: 10.1016/j.envpol.2021.116962] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [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: 06/06/2020] [Revised: 02/20/2021] [Accepted: 03/15/2021] [Indexed: 06/12/2023]
Abstract
Pregnancy is characterized by high bone remodeling and might be a window of susceptibility to the toxic effects of metals on bone tissue. The aim of this study was to assess associations between metals in blood [lead (Pb), cadmium (Cd)and arsenic (As)] and bone remodeling during pregnancy. We studied pregnant woman from the PROGRESS Cohort (Programming Research in Obesity, Growth, and Environment and Social Stress). We measured concentrations of metals in blood and obtained measures of bone remodeling by quantitative ultrasound (QUS) at the radius in the second and third trimester of pregnancy. To account for chronic lead exposure, we measured lead in tibia and patella one-month postpartum with K-shell X-ray fluorescence. We assessed cross-sectional and longitudinal associations between multiple-metal concentrations and QUS z-scores using linear regression models and linear mixed models adjusted for potential confounders. Third trimester blood Cd concentrations were marginal associated with lower QUS z-scores [-0.16 (95% CI: -0.33, 0.007); P-Value = 0.06]. Mixed models showed that blood Cd was longitudinally and marginally associated with an average of -0.10 z-score (95% CI: -0.21, 0.002; P-Value = 0.06) over the course of pregnancy. Associations for Pb and As were all inverse however none reached significance. Additionally, bone Pb concentrations in patella, an index of cumulative exposure, were significantly associated with -0.06 z-score at radius (95% CI: -0.10, -0.01; P-Value = 0.03) during pregnancy. Pb and Cd blood levels are associated with lower QUS distal radius z-scores in pregnant women. Bone Pb concentrations in patella were negatively associated with z-score at radius showing the long-term effects of Pb on bone tissue. However, we cannot exclude the possibility of reverse causality for patella Pb and radius z-score associations. Our results support the importance of reducing women's metal exposure during pregnancy, as metals exposure during pregnancy may have consequences for bone strength later in life. The main finding of our study is the association between Cd blood levels and radius z-score during pregnancy. Bone lead in patella was also negatively associated with radius z-scores.
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Affiliation(s)
- Citlalli Osorio-Yáñez
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico; Instituto de Investigaciones Biomedicas, Universidad Nacional Autonoma de Mexico (UNAM), Ciudad Universitaria S/N, Mexico
| | - Marco Sanchez-Guerra
- Department of Developmental Neurobiology, National Institute of Perinatology, Montes Urales 800, Lomas Virreyes, Mexico City, 1100, Mexico
| | - Maritsa Solano
- Center for Evaluation Research & Surveys, National Institute of Public Health, Cuernavaca, Morelos, 62100, Mexico
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Robert Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, NY, 10029, USA
| | - Alison P Sanders
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, NY, 10029, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, NY, 10029, USA
| | - Martha Maria Tellez-Rojo
- Center for Evaluation Research & Surveys, National Institute of Public Health, Cuernavaca, Morelos, 62100, Mexico.
| | - Marcela Tamayo-Ortiz
- Occupational Research Unit, Mexican Social Security Institute (IMSS), Mexico City, Mexico
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23
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Wang W, Xu J, Schwartz J, Baccarelli A, Liu Z. Causal mediation analysis with latent subgroups. Stat Med 2021; 40:5628-5641. [PMID: 34263963 DOI: 10.1002/sim.9144] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 08/08/2020] [Revised: 05/13/2021] [Accepted: 07/01/2021] [Indexed: 01/29/2023]
Abstract
In biomedical studies, the causal mediation effect might be heterogeneous across individuals in the study population due to each study subject's unique characteristics. While individuals' mediation effects may differ from each other, it is often reasonable and more interpretable to assume that individuals belong to several distinct latent subgroups with similar attributes. In this article, we first show that the subgroup-specific mediation effect can be identified under the group-specific sequential ignorability assumptions. Then, we propose a simple mixture modeling approach to account for the latent subgroup structure where each mixture component corresponds to one latent subgroup in the linear structural equation model framework. Model parameters can be estimated using the standard expectation-maximization (EM) algorithm. Each individual's subgroup membership can be inferred based on the posterior probability. We propose to use the singular Bayesian information criterion to consistently select the number of latent subgroups by recognizing that the Fisher information matrix for mixture models might be singular. We then propose to use nonparametric bootstrap method to compute standard errors and confidence intervals. We conducted simulation studies to evaluate the empirical performance of our proposed method named iMed. Finally, we reanalyzed a DNA methylation data set from the Normative Aging Study and found that the mediation effects of two well-documented DNA methylation CpG sites are heterogeneous across two latent subgroups in the causal pathway from smoking behavior to lung function. We also developed an R package iMed for public use.
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Affiliation(s)
- WenWu Wang
- School of Statistics, Qufu Normal University, Shandong, China
| | - Jinfeng Xu
- Department of Statistics and Actuarial Science, University of Hong Kong, Pokfulam, Hong Kong SAR, China
| | - Joel Schwartz
- Department of Environmental Health, Harvard University, Boston, Massachusetts, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University, New York, New York, USA
| | - Zhonghua Liu
- Department of Statistics and Actuarial Science, University of Hong Kong, Pokfulam, Hong Kong SAR, China
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24
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Aguayo L, Li W, Joyce BT, Leng J, Zheng Y, Shiau S, Liu H, Wang L, Gao R, Baccarelli A, Hu G, Hou L. Risks of Macrosomia Associated with Catechol- O-Methyltransferase Genotypes and Genetic-Epigenetic Interactions among Children with and without Gestational Diabetes Exposure. Child Obes 2021; 17:365-370. [PMID: 33826421 PMCID: PMC8236387 DOI: 10.1089/chi.2020.0327] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Background: Gestational diabetes mellitus (GDM) is a major macrosomia risk factor. Variations in the catechol-O-methyltransferase (COMT; rs4680) genotypes are associated with heightened susceptibility to environmental exposures and nutritional conditions. However, macrosomia risks associated with COMT genetics, epigenetics, and the interaction between genetic and epigenetics among children with and without exposure to GDM are unknown. Methods: Data from women/children pairs (n = 1087) who participated in the Tianjin Gestational Diabetes Birth Cohort were used to examine the odds of being born with macrosomia associated with COMT-genotypes, 55 CpG sites located on the COMT gene, and genetic and epigenetic interactions. Odds of macrosomia associated with COMT genetic, epigenetic, genetic and epigenetic interactions, and moderations with GDM were tested using adjusted logistic regression models. Results: Overall, 16.1% (n = 175) of children were born with macrosomia. Models showed that children with at least one copy of the minor allele (A) had higher odds of macrosomia (odds ratio, 1.82; 95% confidence interval 1.25-2.64) compared with children with the GG-genotype. After false discovery rate corrections, none of the 55 CpG sites located on the COMT gene was associated with odds of macrosomia. The genetic and epigenetic associations were not modified by exposure to GDM. Conclusion: Findings suggest carriers of the COMT GG-genotype had lower odds of macrosomia, and this association was not modified by epigenetics or exposure to GDM.
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Affiliation(s)
- Liliana Aguayo
- Department of Preventive Medicine, Feinberg School of Medicine; Northwestern University, Chicago, IL, USA.,Mary Ann and J. Milburn Smith Child Health Research, Outreach, and Advocacy Center, Stanley Manne Children's Research Institute, Ann and Robert H. Lurie Children's Hospital, Chicago, IL, USA.,Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Brian T. Joyce
- Department of Preventive Medicine, Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Yinan Zheng
- Department of Preventive Medicine, Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Stephanie Shiau
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Ru Gao
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA, USA.,Address correspondence to: Gang Hu, MD, PhD, Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, USA
| | - Lifang Hou
- Department of Preventive Medicine, Center for Global Oncology, Institute for Global Health, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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25
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Jhun MA, Mendelson M, Wilson R, Gondalia R, Joehanes R, Salfati E, Zhao X, Braun KVE, Do AN, Hedman ÅK, Zhang T, Carnero-Montoro E, Shen J, Bartz TM, Brody JA, Montasser ME, O'Connell JR, Yao C, Xia R, Boerwinkle E, Grove M, Guan W, Liliane P, Singmann P, Müller-Nurasyid M, Meitinger T, Gieger C, Peters A, Zhao W, Ware EB, Smith JA, Dhana K, van Meurs J, Uitterlinden A, Ikram MA, Ghanbari M, Zhi D, Gustafsson S, Lind L, Li S, Sun D, Spector TD, Chen YDI, Damcott C, Shuldiner AR, Absher DM, Horvath S, Tsao PS, Kardia S, Psaty BM, Sotoodehnia N, Bell JT, Ingelsson E, Chen W, Dehghan A, Arnett DK, Waldenberger M, Hou L, Whitsel EA, Baccarelli A, Levy D, Fornage M, Irvin MR, Assimes TL. A multi-ethnic epigenome-wide association study of leukocyte DNA methylation and blood lipids. Nat Commun 2021; 12:3987. [PMID: 34183656 PMCID: PMC8238961 DOI: 10.1038/s41467-021-23899-y] [Citation(s) in RCA: 14] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 05/25/2021] [Indexed: 02/06/2023] Open
Abstract
Here we examine the association between DNA methylation in circulating leukocytes and blood lipids in a multi-ethnic sample of 16,265 subjects. We identify 148, 35, and 4 novel associations among Europeans, African Americans, and Hispanics, respectively, and an additional 186 novel associations through a trans-ethnic meta-analysis. We observe a high concordance in the direction of effects across racial/ethnic groups, a high correlation of effect sizes between high-density lipoprotein and triglycerides, a modest overlap of associations with epigenome-wide association studies of other cardio-metabolic traits, and a largely non-overlap with lipid loci identified to date through genome-wide association studies. Thirty CpGs reached significance in at least 2 racial/ethnic groups including 7 that showed association with the expression of an annotated gene. CpGs annotated to CPT1A showed evidence of being influenced by triglycerides levels. DNA methylation levels of circulating leukocytes show robust and consistent association with blood lipid levels across multiple racial/ethnic groups.
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Affiliation(s)
- Min-A Jhun
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA.
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
| | - Michael Mendelson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
| | - Rory Wilson
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Rahul Gondalia
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Roby Joehanes
- Hebrew SeniorLife, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Elias Salfati
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Xiaoping Zhao
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Anh Nguyet Do
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Åsa K Hedman
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Tao Zhang
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Elena Carnero-Montoro
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
- GENYO, Center for Genomics and Oncological Research Pfizer/University of Granada/Andalusian Regional Government, Granada, Spain
| | - Jincheng Shen
- Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Medicine and Biostatistics, University of Washington, Seattle, WA, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - May E Montasser
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jeff R O'Connell
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Chen Yao
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- School of Public Health, University of Texas Health Science Center at Houston, Huston, TX, USA
| | - Megan Grove
- School of Public Health, University of Texas Health Science Center at Houston, Huston, TX, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Pfeiffer Liliane
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Paula Singmann
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Martina Müller-Nurasyid
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- IBE, Faculty of Medicine, LMU Munich, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Thomas Meitinger
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Human Genetics, Technical University Munich, Munich, Germany
| | - Christian Gieger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center, Johannes Gutenberg University, Mainz, Germany
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Erin B Ware
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, Ann Arbor, MI, USA
| | - Klodian Dhana
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Joyce van Meurs
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Andre Uitterlinden
- Department of Internal Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohammad Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Mohsen Ghanbari
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Deugi Zhi
- School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Stefan Gustafsson
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Shengxu Li
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Dianjianyi Sun
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Tim D Spector
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Yii-der Ida Chen
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute, and Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Coleen Damcott
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alan R Shuldiner
- Division of Endocrinology, Diabetes, and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Devin M Absher
- HudsonAlpha Institute for Biotechnology, Huntsville, AL, USA
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA
| | - Philip S Tsao
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- VA Palo Alto Healthcare System, Palo Alto, CA, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
| | - Sharon Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine, and Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, USA
| | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London, London, UK
| | - Erik Ingelsson
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medical Sciences, Molecular Epidemiology and Science for Life Laboratory, Uppsala University, Uppsala, Sweden
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University, Stanford, CA, USA
| | - Wei Chen
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Biostatistics and Epidemiology, MRC Centre for Environment and Health, School of Public Health, Imperial College, London, UK
| | - Donna K Arnett
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Melanie Waldenberger
- Research Unit Molecular Epidemiology, Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
- Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich, Germany
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Eric A Whitsel
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
- Department of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Marguerite R Irvin
- Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Themistocles L Assimes
- Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
- VA Palo Alto Healthcare System, Palo Alto, CA, USA.
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA, USA.
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26
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Luo X, Schwartz J, Baccarelli A, Liu Z. Testing cell-type-specific mediation effects in genome-wide epigenetic studies. Brief Bioinform 2021; 22:bbaa131. [PMID: 32632436 PMCID: PMC8138838 DOI: 10.1093/bib/bbaa131] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Revised: 05/19/2020] [Accepted: 05/27/2020] [Indexed: 12/12/2022] Open
Abstract
Epigenome-wide mediation analysis aims to identify DNA methylation CpG sites that mediate the causal effects of genetic/environmental exposures on health outcomes. However, DNA methylations in the peripheral blood tissues are usually measured at the bulk level based on a heterogeneous population of white blood cells. Using the bulk level DNA methylation data in mediation analysis might cause confounding bias and reduce study power. Therefore, it is crucial to get fine-grained results by detecting mediation CpG sites in a cell-type-specific way. However, there is a lack of methods and software to achieve this goal. We propose a novel method (Mediation In a Cell-type-Specific fashion, MICS) to identify cell-type-specific mediation effects in genome-wide epigenetic studies using only the bulk-level DNA methylation data. MICS follows the standard mediation analysis paradigm and consists of three key steps. In step1, we assess the exposure-mediator association for each cell type; in step 2, we assess the mediator-outcome association for each cell type; in step 3, we combine the cell-type-specific exposure-mediator and mediator-outcome associations using a multiple testing procedure named MultiMed [Sampson JN, Boca SM, Moore SC, et al. FWER and FDR control when testing multiple mediators. Bioinformatics 2018;34:2418-24] to identify significant CpGs with cell-type-specific mediation effects. We conduct simulation studies to demonstrate that our method has correct FDR control. We also apply the MICS procedure to the Normative Aging Study and identify nine DNA methylation CpG sites in the lymphocytes that might mediate the effect of cigarette smoking on the lung function.
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Affiliation(s)
- Xiangyu Luo
- Institute of Statistics and Big Data, Renmin University of China, Beijing, China
| | - Joel Schwartz
- Department of Environmental Health, Harvard University, Boston, MA, USA
| | - Andrea Baccarelli
- Leon Hess Professor in the Department of Environmental Health Sciences, Columbia University, New York City, NY, USA
| | - Zhonghua Liu
- Department of Statistics and Actuarial Science, University of Hong Kong, Hong Kong SAR, China
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27
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Comfort N, Bloomquist TR, Shephard AP, Petty CR, Cunningham A, Hauptman M, Phipatanakul W, Baccarelli A. Isolation and characterization of extracellular vesicles in saliva of children with asthma. Extracell Vesicles Circ Nucl Acids 2021; 2:29-48. [PMID: 34368811 PMCID: PMC8340923 DOI: 10.20517/evcna.2020.09] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
AIM To confirm the presence of extracellular vesicles (EVs) in cell-free saliva (CFS) of children with asthma and describe the isolated EV population. METHODS A pooled sample of CFS EVs isolated from 180 participants using ExoQuick-TC was examined in downstream analyses. Transmission electron microscopy (TEM) was used to confirm the presence of EVs. Nanoparticle tracking analysis (NTA) and single particle interferometric reflectance imaging sensing (SP-IRIS) with fluorescence were used for sizing, counting, and phenotyping of EVs. Capillary immunoassays were used for protein quantitation. RESULTS TEM confirmed the presence of EVs of diverse sizes, indicating the prep contained a heterogeneous population of EVs. Capillary immunoassays confirmed the presence of EV-associated proteins (CD9, CD63, CD81, ICAM-1, and ANXA5) and indicated limited cellular contamination. As others have also reported, there were discrepancies in the EV sizing and enumeration across platforms. Fluorescent NTA detected particles with a mode diameter of ~90 nm, whereas SP-IRIS reported sizes of ~55-60 nm that more closely approximated the TEM results. Consistent with protein immunoassay results, SP-IRIS with fluorescence showed that the majority of these EVs were CD9- and CD63-positive, with little expression of CD81. CONCLUSION EVs from CFS can be isolated using a high-throughput method that can be scaled to large epidemiological studies. To our knowledge, we are the first to characterize CFS EVs from patients with asthma. The use of CFS EVs as potential novel biomarkers in asthma warrants further investigation and opens a new avenue of research for future studies.
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Affiliation(s)
- Nicole Comfort
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Tessa R. Bloomquist
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Alex P. Shephard
- NanoView Biosciences, Malvern Hills Science Park, Malvern, Worcestershire WR14 3SZ, UK
| | - Carter R. Petty
- Brigham and Women’s Hospital, Boston, MA; Boston Children’s Hospital, Clinical Research Center Boston, MA 02115, USA
| | | | - Marissa Hauptman
- Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Immunology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Wanda Phipatanakul
- Harvard Medical School, Boston, MA 02115, USA
- Division of Allergy and Immunology, Boston Children’s Hospital, Boston, MA 02115, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA
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Prada D, Belsky D, Baccarelli A. Is your environment making you older? Molecular biomarkers and new approaches to investigate the influences of environmental chemicals through aging. Med Lav 2021; 112:8-14. [PMID: 33635291 PMCID: PMC8023055 DOI: 10.23749/mdl.v112i1.10826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 11/12/2020] [Indexed: 12/14/2022]
Abstract
Aging is characterized by a gradual and progressive decline in system integrity that occurs with advancing chronological age. Although it is a physiological process, aging is associated with a myriad of age-related diseases (ARDs), including frailty, sarcopenia, chronic obstructive pulmonary disease, cardiovascular disease, cancer, and neurodegenerative diseases. While not exclusively ARDs, many of these diseases lead to death, a lesser quality of life, and increased healthcare costs for individuals and systems. ARDs share several underlying molecular mechanisms, such as cellular damage, inflammation, DNA methylation changes, stem cells exhaustion, and DNA mutations, which have been outlined as hallmarks of aging. Evidence suggests that environmental exposures, including but not limited to metals, air pollution, endocrine-disrupting chemicals, and noise, may accelerate biological aging. Over the past few years, aging research has identified new molecular biomarkers of the aging process. When applied to investigate environmental influences, these biomarkers can help identify individuals who are particularly susceptible to the influences of environmental exposures on aging processes and therefore guide in implementing possible preventive measures.
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Affiliation(s)
- Diddier Prada
- Mailman School of Public Health, Columbia University, USA; Instituto Nacional de Cancerología, Mexico.
| | - Daniel Belsky
- Columbia University Mailman School of Public Health .
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Wang Y, Perera F, Guo J, Riley KW, Durham T, Ross Z, Ananth CV, Baccarelli A, Wang S, Herbstman JB. A methodological pipeline to generate an epigenetic marker of prenatal exposure to air pollution indicators. Epigenetics 2021; 17:32-40. [PMID: 33465004 DOI: 10.1080/15592294.2021.1872926] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
A barrier in the children's environmental health field has been the lack of early-warning systems to identify risks of childhood illness and developmental disorders. We aimed to develop a methodology to identify an accessible biomarker measured in a small amount of blood to distinguish newborns at elevated risk from a toxic prenatal exposure, using air pollutants as a case study. Because air pollutants are associated with altered DNA methylation, we developed a pipeline using DNA methylation signatures measured in umbilical cord blood, which could be used as predictors of prenatal exposure. We used air pollution indicators, including modelled trimester-specific and pregnancy average NO2 and PM2.5, and DNA methylation signatures from Illumina arrays measured in two New York City-based longitudinal birth cohorts from the Columbia Centre for Children's Environmental Health. We developed a screening plus three-part pipeline that incorporates selection, testing, and validation to identify whether DNA methylation can be used to predict exposure to prenatal air pollution indicators, NO2 and PM2.5. Applying this pipeline, we found that cord blood DNA methylation could be used to predict high vs. low average pregnancy NO2 (AUC = 0.60, 95% CI: 0.52-0.68, with validation AUC = 0.60). Similar results were found for high vs. low third trimester NO2. In this proof of concept study using air pollutants as an example, we provide an approach (with a generalizable analytic pipeline) that can be used for prediction of prenatal exposure to contaminants. This approach has potential to identify children at risk of developmental disorders and illness resulting from prenatal exposure.
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Affiliation(s)
- Ya Wang
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Frederica Perera
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Jia Guo
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Kylie W Riley
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Teresa Durham
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Zev Ross
- ZevRoss Spatial Analysis, Ithaca, New York
| | - Cande V Ananth
- Department of Obstetrics, Gynecology and Reproductive Sciences, Robert Wood Johnson Medical School, Rutgers University New Brunswick, New Jersey.,Environmental and Occupational Health Sciences Institute (EOHSI), Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.,Cardiovascular Institute of New Jersey (CVINJ), Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey.,Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, New Jersey, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
| | - Shuang Wang
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Biostatistics, Mailman School of Public Health, Columbia University, New York, New York
| | - Julie B Herbstman
- Columbia Center for Children's Environmental Health, Mailman School of Public Health, Columbia University, New York, New York.,Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, New York
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30
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Vehmeijer FOL, Küpers LK, Sharp GC, Salas LA, Lent S, Jima DD, Tindula G, Reese S, Qi C, Gruzieva O, Page C, Rezwan FI, Melton PE, Nohr E, Escaramís G, Rzehak P, Heiskala A, Gong T, Tuominen ST, Gao L, Ross JP, Starling AP, Holloway JW, Yousefi P, Aasvang GM, Beilin LJ, Bergström A, Binder E, Chatzi L, Corpeleijn E, Czamara D, Eskenazi B, Ewart S, Ferre N, Grote V, Gruszfeld D, Håberg SE, Hoyo C, Huen K, Karlsson R, Kull I, Langhendries JP, Lepeule J, Magnus MC, Maguire RL, Molloy PL, Monnereau C, Mori TA, Oken E, Räikkönen K, Rifas-Shiman S, Ruiz-Arenas C, Sebert S, Ullemar V, Verduci E, Vonk JM, Xu CJ, Yang IV, Zhang H, Zhang W, Karmaus W, Dabelea D, Muhlhausler BS, Breton CV, Lahti J, Almqvist C, Jarvelin MR, Koletzko B, Vrijheid M, Sørensen TIA, Huang RC, Arshad SH, Nystad W, Melén E, Koppelman GH, London SJ, Holland N, Bustamante M, Murphy SK, Hivert MF, Baccarelli A, Relton CL, Snieder H, Jaddoe VWV, Felix JF. DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies. Genome Med 2020; 12:105. [PMID: 33239103 PMCID: PMC7687793 DOI: 10.1186/s13073-020-00810-w] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [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: 03/29/2020] [Accepted: 11/12/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND DNA methylation has been shown to be associated with adiposity in adulthood. However, whether similar DNA methylation patterns are associated with childhood and adolescent body mass index (BMI) is largely unknown. More insight into this relationship at younger ages may have implications for future prevention of obesity and its related traits. METHODS We examined whether DNA methylation in cord blood and whole blood in childhood and adolescence was associated with BMI in the age range from 2 to 18 years using both cross-sectional and longitudinal models. We performed meta-analyses of epigenome-wide association studies including up to 4133 children from 23 studies. We examined the overlap of findings reported in previous studies in children and adults with those in our analyses and calculated enrichment. RESULTS DNA methylation at three CpGs (cg05937453, cg25212453, and cg10040131), each in a different age range, was associated with BMI at Bonferroni significance, P < 1.06 × 10-7, with a 0.96 standard deviation score (SDS) (standard error (SE) 0.17), 0.32 SDS (SE 0.06), and 0.32 BMI SDS (SE 0.06) higher BMI per 10% increase in methylation, respectively. DNA methylation at nine additional CpGs in the cross-sectional childhood model was associated with BMI at false discovery rate significance. The strength of the associations of DNA methylation at the 187 CpGs previously identified to be associated with adult BMI, increased with advancing age across childhood and adolescence in our analyses. In addition, correlation coefficients between effect estimates for those CpGs in adults and in children and adolescents also increased. Among the top findings for each age range, we observed increasing enrichment for the CpGs that were previously identified in adults (birth Penrichment = 1; childhood Penrichment = 2.00 × 10-4; adolescence Penrichment = 2.10 × 10-7). CONCLUSIONS There were only minimal associations of DNA methylation with childhood and adolescent BMI. With the advancing age of the participants across childhood and adolescence, we observed increasing overlap with altered DNA methylation loci reported in association with adult BMI. These findings may be compatible with the hypothesis that DNA methylation differences are mostly a consequence rather than a cause of obesity.
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Affiliation(s)
- Florianne O L Vehmeijer
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Room Na-2918, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Leanne K Küpers
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Gemma C Sharp
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Lucas A Salas
- Geisel School of Medicine at Dartmouth, Lebanon, NH, USA
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Samantha Lent
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Dereje D Jima
- Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
| | - Gwen Tindula
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Sarah Reese
- Department of Health and Human Services, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Cancan Qi
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, Groningen, The Netherlands
- University Medical Center Groningen GRIAC Research Institute, University of Groningen, Groningen, the Netherlands
| | - Olena Gruzieva
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Christian Page
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Faisal I Rezwan
- School of Water, Energy and Environment, Cranfield University, Cranfield, Bedfordshire, UK
- Human Development and Health, Faculty of Medicine, Southampton General Hospital, University of Southampton, Southampton, UK
| | - Philip E Melton
- School of Pharmacy and Biomedical Sciences, Curtin University, Bentley, Western Australia, Australia
- School of Biomedical Sciences, The University of Western Australia, Crawley, Western Austalia, Australia
| | - Ellen Nohr
- Centre for Women's, Family and Child Health, University of South-Eastern Norway, Kongsberg, Norway
- Institute of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Geòrgia Escaramís
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
- Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Research group on Statistics, Econometrics and Health (GRECS), University of Girona, Girona, Spain
| | - Peter Rzehak
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Anni Heiskala
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Tong Gong
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Samuli T Tuominen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Lu Gao
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jason P Ross
- CSIRO Health and Biosecurity, North Ryde, New South Wales, Australia
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John W Holloway
- Human Development and Health, Faculty of Medicine, Southampton General Hospital, University of Southampton, Southampton, UK
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Paul Yousefi
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Gunn Marit Aasvang
- Department of Air Pollution and Noise, Norwegian Institute of Public Health, Oslo, Norway
| | | | - Anna Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Region Stockholm, Stockholm, Sweden
| | - Elisabeth Binder
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA, USA
| | - Leda Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Eva Corpeleijn
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck-Institute of Psychiatry, Munich, Germany
| | - Brenda Eskenazi
- Center for Environmental Research and Children's Health, School of Public Health, University of California, Berkeley, CA, USA
| | - Susan Ewart
- College of Veterinary Medicine, Michigan State University, East Lansing, MI, USA
| | - Natalia Ferre
- Pediatrics, Nutrition and Development Research Unit, Universitat Rovira i Virgili, IISPV, Reus, Spain
| | - Veit Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Dariusz Gruszfeld
- Neonatal Department, Children's Memorial Health Institute, Warsaw, Poland
| | - Siri E Håberg
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Cathrine Hoyo
- Center for Human Health and the Environment, North Carolina State University, Raleigh, NC, USA
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
| | - Karen Huen
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Robert Karlsson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Inger Kull
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | | | - Johanna Lepeule
- Université Grenoble Alpes, Inserm, CNRS, Team of Environmental Epidemiology Applied to Reproduction and Respiratory Health, IAB, Grenoble, France
| | - Maria C Magnus
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Rachel L Maguire
- Department of Biological Sciences, North Carolina State University, Raleigh, NC, USA
- Department of Obstetrics and Gynecology, Duke University Medical Center, Raleigh, NC, USA
| | - Peter L Molloy
- CSIRO Health and Biosecurity, North Ryde, New South Wales, Australia
| | - Claire Monnereau
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Room Na-2918, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Australia
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Katri Räikkönen
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Sheryl Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Carlos Ruiz-Arenas
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Sylvain Sebert
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
| | - Vilhelmina Ullemar
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Elvira Verduci
- Department of Pediatrics, San Paolo Hospital, University of Milan, Milan, Italy
| | - Judith M Vonk
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
- University Medical Center Groningen GRIAC Research Institute, University of Groningen, Groningen, the Netherlands
| | - Cheng-Jian Xu
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, Groningen, The Netherlands
- University Medical Center Groningen GRIAC Research Institute, University of Groningen, Groningen, the Netherlands
- Department of Gastroenterology, Hepatology and Endocrinology, CiiM, Centre for Individualised Infection Medicine, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
- TWINCORE, Centre for Experimental and Clinical Infection Research, a joint venture between the Hannover Medical School and the Helmholtz Centre for Infection Research, Hannover, Germany
| | - Ivana V Yang
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Hongmei Zhang
- Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, Memphis, TN, USA
| | - Weiming Zhang
- Department of Biostatistics and Informatics, Colorado School of Public Health, Aurora, CO, USA
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, University of Memphis, Memphis, TN, USA
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Carrie V Breton
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Turku Institute for Advanced Studies, University of Turku, Turku, Finland
| | - Catarina Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Pediatric Allergy and Pulmonology Unit at Astrid Lindgren Children's Hospital, Karolinska University Hospital, Stockholm, Sweden
| | - Marjo-Riitta Jarvelin
- Center for Life Course Health Research, University of Oulu, Oulu, Finland
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK
- Unit of Primary Health Care, Oulu University Hospital, OYS, Oulu, Finland
- Department of Life Sciences, College of Health and Life Sciences, Brunel University London, London, UK
| | - Berthold Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilians Universität München (LMU), Munich, Germany
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
- Department of Public Health, Section of Epidemiology, and The Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics, Faculty of Medical and Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Syed Hasan Arshad
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
- David Hide Asthma and Allergy Research Centre, Isle of Wight, UK
| | - Wenche Nystad
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
| | - Erik Melén
- Department of Clinical Science and Education, Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Sachs' Children and Youth Hospital, Södersjukhuset, Stockholm, Sweden
| | - Gerard H Koppelman
- University of Groningen, University Medical Center Groningen, Department of Pediatric Pulmonology and Pediatric Allergy, Beatrix Children's Hospital, Groningen, The Netherlands
- University Medical Center Groningen GRIAC Research Institute, University of Groningen, Groningen, the Netherlands
| | - Stephanie J London
- Department of Health and Human Services, Epidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, NC, USA
| | - Nina Holland
- Children's Environmental Health Laboratory, Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA, USA
| | - Mariona Bustamante
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER of Epidemiology and Public Health (CIBERESP), Madrid, Spain
| | - Susan K Murphy
- Department of Obstetrics and Gynecology, Duke University Medical Center, Raleigh, NC, USA
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Medicine, Universite de Sherbrooke, Sherbrooke, QC, Canada
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK
| | - Harold Snieder
- University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Room Na-2918, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, the Netherlands
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Room Na-2918, Erasmus MC, PO Box 2040, 3000 CA, Rotterdam, the Netherlands.
- Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
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31
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Justice AE, Chittoor G, Gondalia R, Melton PE, Lim E, Grove ML, Whitsel EA, Liu CT, Cupples LA, Fernandez-Rhodes L, Guan W, Bressler J, Fornage M, Boerwinkle E, Li Y, Demerath E, Heard-Costa N, Levy D, Stewart JD, Baccarelli A, Hou L, Conneely K, Mori TA, Beilin LJ, Huang RC, Gordon-Larsen P, Howard AG, North KE. Methylome-wide association study of central adiposity implicates genes involved in immune and endocrine systems. Epigenomics 2020; 12:1483-1499. [PMID: 32901515 PMCID: PMC7923253 DOI: 10.2217/epi-2019-0276] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2019] [Accepted: 05/22/2020] [Indexed: 12/14/2022] Open
Abstract
Aim: We conducted a methylome-wide association study to examine associations between DNA methylation in whole blood and central adiposity and body fat distribution, measured as waist circumference, waist-to-hip ratio and waist-to-height ratio adjusted for body mass index, in 2684 African-American adults in the Atherosclerosis Risk in Communities study. Materials & methods: We validated significantly associated cytosine-phosphate-guanine methylation sites (CpGs) among adults using the Women's Health Initiative and Framingham Heart Study participants (combined n = 5743) and generalized associations in adolescents from The Raine Study (n = 820). Results & conclusion: We identified 11 CpGs that were robustly associated with one or more central adiposity trait in adults and two in adolescents, including CpG site associations near TXNIP, ADCY7, SREBF1 and RAP1GAP2 that had not previously been associated with obesity-related traits.
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Affiliation(s)
- Anne E Justice
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Geetha Chittoor
- Department of Population Health Sciences, Geisinger, Danville, PA 17822, USA
| | - Rahul Gondalia
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Phillip E Melton
- School of Biomedical Science, Faculty of Health & Medical Sciences, The University of Western Australia, Perth, WA 6000, Australia
- School of Pharmacy & Biomedical Sciences, Faculty of Health Sciences, Curtin University, MRF Building, Perth, WA 6000, Australia
- Menzies Institute for Medical Research, College of Health & Medicine, University of Tasmania, Hobart, TA, 7000 Australia
| | - Elise Lim
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - Megan L Grove
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Medicine, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Ching-Ti Liu
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University, Boston, MA 02118, USA
- Framingham Heart Study, Framingham, MA, 01701, USA
| | - Lindsay Fernandez-Rhodes
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Biobehavioral Health, Pennsylvania State University, University Park, PA 16802, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN 55455, USA
| | - Jan Bressler
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Myriam Fornage
- Center for Human Genetics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Brown Foundation Institute of Molecular Medicine, University of Texas Health Science Center at Houston McGovern Medical School, Houston, TX 77030, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics & Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX 77030, USA
| | - Yun Li
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Department of Genetics, University of North Carolina at Chapel Hill, NC 27599, USA
| | - Ellen Demerath
- Division of Epidemiology & Community Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Nancy Heard-Costa
- Framingham Heart Study, Framingham, MA, 01701, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Dan Levy
- Population sciences branch, NHLBI Framingham Heart Study, Framingham, MA 01702, USA
- Department of Medicine, Boston University, Boston, MA 02118, USA
| | - James D Stewart
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Andrea Baccarelli
- Laboratory of Environmental Epigenetics, Departments of Environmental Health Sciences & Epidemiology, Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University Chicago, Evanston, IL, USA
| | - Karen Conneely
- Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA
| | - Trevor A Mori
- Medical School, University of Western Australia, Perth, Australia
| | | | - Rae-Chi Huang
- Telethon Kids Institute, University of Western Australia, Perth, Australia
| | - Penny Gordon-Larsen
- Department of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
| | - Annie Green Howard
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
- Carolina Population Center, University of North Carolina at Chapel Hill, NC 27516, USA
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Turner MC, Andersen ZJ, Baccarelli A, Diver WR, Gapstur SM, Pope CA, Prada D, Samet J, Thurston G, Cohen A. Outdoor air pollution and cancer: An overview of the current evidence and public health recommendations. CA Cancer J Clin 2020; 70:10.3322/caac.21632. [PMID: 32964460 PMCID: PMC7904962 DOI: 10.3322/caac.21632] [Citation(s) in RCA: 234] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 07/08/2020] [Accepted: 07/09/2020] [Indexed: 12/24/2022] Open
Abstract
Outdoor air pollution is a major contributor to the burden of disease worldwide. Most of the global population resides in places where air pollution levels, because of emissions from industry, power generation, transportation, and domestic burning, considerably exceed the World Health Organization's health-based air-quality guidelines. Outdoor air pollution poses an urgent worldwide public health challenge because it is ubiquitous and has numerous serious adverse human health effects, including cancer. Currently, there is substantial evidence from studies of humans and experimental animals as well as mechanistic evidence to support a causal link between outdoor (ambient) air pollution, and especially particulate matter (PM) in outdoor air, with lung cancer incidence and mortality. It is estimated that hundreds of thousands of lung cancer deaths annually worldwide are attributable to PM air pollution. Epidemiological evidence on outdoor air pollution and the risk of other types of cancer, such as bladder cancer or breast cancer, is more limited. Outdoor air pollution may also be associated with poorer cancer survival, although further research is needed. This report presents an overview of outdoor air pollutants, sources, and global levels, as well as a description of epidemiological evidence linking outdoor air pollution with cancer incidence and mortality. Biological mechanisms of air pollution-derived carcinogenesis are also described. This report concludes by summarizing public health/policy recommendations, including multilevel interventions aimed at individual, community, and regional scales. Specific roles for medical and health care communities with regard to prevention and advocacy and recommendations for further research are also described.
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Affiliation(s)
- Michelle C. Turner
- Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- McLaughlin Centre for Population Health Risk Assessment, University of Ottawa, Ottawa, Ontario, Canada
| | - Zorana J. Andersen
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, United States
| | - W. Ryan Diver
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, United States
| | - Susan M. Gapstur
- Behavioral and Epidemiology Research Group, American Cancer Society, Atlanta, Georgia, United States
| | - C. Arden Pope
- Department of Economics, Brigham Young University, Provo, Utah, United States
| | - Diddier Prada
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, United States
- Instituto Nacional de Cancerología, Mexico City, Mexico
| | - Jonathan Samet
- Colorado School of Public Health, Aurora, Colorado, United States
| | - George Thurston
- New York University School of Medicine, New York, New York, United States
| | - Aaron Cohen
- Health Effects Institute, Boston, Massachusetts, United States
- Institute for Health Metrics and Evaluation, Seattle, Washington, United States
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Newman AB, Kritchevsky SB, Guralnik JM, Cummings SR, Salive M, Kuchel GA, Schrack J, Morris MC, Weir D, Baccarelli A, Murabito JM, Ben-Shlomo Y, Espeland MA, Kirkland J, Melzer D, Ferrucci L. Accelerating the Search for Interventions Aimed at Expanding the Health Span in Humans: The Role of Epidemiology. J Gerontol A Biol Sci Med Sci 2020; 75:77-86. [PMID: 31722007 DOI: 10.1093/gerona/glz230] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 09/17/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Extensive work in basic and clinical science suggests that biological mechanisms of aging are causally related to the development of disease and disability in late life. Modulation of the biological mechanisms of aging can extend both life span and health span in animal models, but translation to humans has been slow. METHODS Summary of workshop proceedings from the 2018-2019 Epidemiology of Aging Workshop hosted by the Intramural Research Program at the National Institute on Aging. RESULTS Epidemiologic studies play a vital role to progress in this field, particularly in evaluating new risk factors and measures of biologic aging that may influence health span, as well as developing relevant outcome measures that are robust and relevant for older individuals. CONCLUSIONS Appropriately designed epidemiological studies are needed to identify targets for intervention and to inform study design and sample size estimates for future clinical trials designed to promote health span.
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Affiliation(s)
- Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania.,Department of Geriatric Medicine, School of Medicine, University of Pittsburgh, Pennsylvania
| | - Stephen B Kritchevsky
- Sticht Center for Health Aging and Alzheimer's Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Jack M Guralnik
- Department of Epidemiology and Public Health, School of Medicine, University of Maryland, Baltimore, Maryland
| | - Steven R Cummings
- San Francisco Coordinating Center, California Pacific Medical Center Research Institute San Fransisco, California, Bethesda, Maryland
| | - Marcel Salive
- National Institute on Aging, National Institutes of Health, Bethesda, Maryland
| | - George A Kuchel
- University of Connecticut Center on Aging, University of Connecticut Health, Farmington, CT, Baltimore, Maryland
| | - Jennifer Schrack
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Martha Clare Morris
- Department of Internal Medicine, Rush Medical College, Rush University, Chicago, Illinois
| | - David Weir
- Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, Michigan, New York, New York
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, New York
| | - Joanne M Murabito
- Department of Medicine, Section of General Internal Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Yoav Ben-Shlomo
- Population Health Sciences, University of Bristol, Bristol, UK.,National Institute for Health Research Collaboration for Leadership in Applied Health Research and Care West (NIHR CLAHRC West), University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Mark A Espeland
- Department of Biostatistics and Data Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - James Kirkland
- Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, Minnesota
| | - David Melzer
- College of Medicine and Health, University of Exeter, Exeter, UK.,Center on Aging, School of Medicine, University of Connecticut, Farmington, Connecticut
| | - Luigi Ferrucci
- Longitudinal Studies Section, Translational Gerontology Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland
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34
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Lee AG, Cowell W, Kannan S, Ganguri HB, Nentin F, Wilson A, Coull BA, Wright RO, Baccarelli A, Bollati V, Wright RJ. Prenatal particulate air pollution and newborn telomere length: Effect modification by maternal antioxidant intakes and infant sex. Environ Res 2020; 187:109707. [PMID: 32474316 PMCID: PMC7844769 DOI: 10.1016/j.envres.2020.109707] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [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: 11/11/2019] [Revised: 05/16/2020] [Accepted: 05/17/2020] [Indexed: 05/22/2023]
Abstract
BACKGROUND Evidence links gestational exposure to particulate matter with an aerodynamic diameter of less than 2.5 μm (PM2.5) with changes in leukocyte telomere length in cord blood with some studies showing sex-specific effects. PM2.5 exposure in utero increases oxidative stress, which can impact telomere biology. Thus, maternal antioxidant intakes may also modify the particulate air pollution effects. METHODS We examined associations among prenatal PM2.5 exposure and newborn relative leukocyte telomere length (rLTL), and the modifying effects of maternal antioxidant intake and infant sex. We estimated daily PM2.5 exposures over gestation using a validated spatiotemporally resolved satellite-based model. Maternal dietary and supplemental antioxidant intakes over the prior three months were ascertained during the second trimester using the modified Block98 food frequency questionnaire; high and low antioxidant intakes were categorized based on a median split. We employed Bayesian distributed lag interaction models (BDLIMs) to identify both sensitive windows of exposure and cumulative effect estimates for prenatal PM2.5 exposure on newborn rLTL, and to examine effect modification by maternal antioxidant intakes. A 3-way interaction between PM2.5, maternal antioxidant intake and infant sex was also explored. RESULTS For the main effect of PM2.5, BDLIMs identified a sensitive window at 12-20 weeks gestation for the association between increased prenatal PM2.5 exposure and shorter newborn rLTL and a cumulative effect of PM2.5 over gestation on newborn telomere length [cumulative effect estimate (CEE) = -0.29 (95% CI -0.49 to -0.10) per 1μg/m3 increase in PM2.5]. In models examining maternal antioxidant intake effects, BDLIMs found that children born to mothers reporting low antioxidant intakes were most vulnerable [CEE of low maternal antioxidant intake = -0.31 (95% CI -0.55 to -0.06) vs high maternal antioxidant intake = -0.07 (95% CI -0.34 to 0.17) per 1μg/m3 increase in PM2.5]. In exploratory models examining effect modification by both maternal antioxidant intakes and infant sex, the cumulative effect remained significant only in boys whose mothers reported low antioxidant intakes [CEE = -0.38 (95% CI -0.80 to -0.004)]; no sensitive windows were identified in any group. CONCLUSIONS Prenatal PM2.5 exposure in mid-gestation was associated with reduced infant telomere length. Higher maternal antioxidant intakes mitigated these effects.
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Affiliation(s)
- Alison G Lee
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Whitney Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Srimathi Kannan
- Department of Metabolism, Endocrinology, and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | | | - Farida Nentin
- Department of Obstetrics, Gynecology, and Reproductive Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collins, CO, USA
| | - Brent A Coull
- Harvard TH Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Andrea Baccarelli
- Departments of Environmental Health Sciences and Epidemiology, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Valentina Bollati
- EPIGET Lab, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Kravis Children's Hospital, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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35
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Colicino E, Marioni R, Ward-Caviness C, Gondalia R, Guan W, Chen B, Tsai PC, Huan T, Xu G, Golareh A, Schwartz J, Vokonas P, Just A, Starr JM, McRae AF, Wray NR, Visscher PM, Bressler J, Zhang W, Tanaka T, Moore AZ, Pilling LC, Zhang G, Stewart JD, Li Y, Hou L, Castillo-Fernandez J, Spector T, Kiel DP, Murabito JM, Liu C, Mendelson M, Assimes T, Absher D, Tsaho PS, Lu AT, Ferrucci L, Wilson R, Waldenberger M, Prokisch H, Bandinelli S, Bell JT, Levy D, Deary IJ, Horvath S, Pankow J, Peters A, Whitsel EA, Baccarelli A. Blood DNA methylation sites predict death risk in a longitudinal study of 12, 300 individuals. Aging (Albany NY) 2020; 12:14092-14124. [PMID: 32697766 PMCID: PMC7425458 DOI: 10.18632/aging.103408] [Citation(s) in RCA: 8] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 05/25/2020] [Indexed: 12/22/2022]
Abstract
DNA methylation has fundamental roles in gene programming and aging that may help predict mortality. However, no large-scale study has investigated whether site-specific DNA methylation predicts all-cause mortality. We used the Illumina-HumanMethylation450-BeadChip to identify blood DNA methylation sites associated with all-cause mortality for 12, 300 participants in 12 Cohorts of the Heart and Aging Research in Genetic Epidemiology (CHARGE) Consortium. Over an average 10-year follow-up, there were 2,561 deaths across the cohorts. Nine sites mapping to three intergenic and six gene-specific regions were associated with mortality (P < 9.3x10-7) independently of age and other mortality predictors. Six sites (cg14866069, cg23666362, cg20045320, cg07839457, cg07677157, cg09615688)—mapping respectively to BMPR1B, MIR1973, IFITM3, NLRC5, and two intergenic regions—were associated with reduced mortality risk. The remaining three sites (cg17086398, cg12619262, cg18424841)—mapping respectively to SERINC2, CHST12, and an intergenic region—were associated with increased mortality risk. DNA methylation at each site predicted 5%–15% of all deaths. We also assessed the causal association of those sites to age-related chronic diseases by using Mendelian randomization, identifying weak causal relationship between cg18424841 and cg09615688 with coronary heart disease. Of the nine sites, three (cg20045320, cg07839457, cg07677157) were associated with lower incidence of heart disease risk and two (cg20045320, cg07839457) with smoking and inflammation in prior CHARGE analyses. Methylation of cg20045320, cg07839457, and cg17086398 was associated with decreased expression of nearby genes (IFITM3, IRF, NLRC5, MT1, MT2, MARCKSL1) linked to immune responses and cardiometabolic diseases. These sites may serve as useful clinical tools for mortality risk assessment and preventative care.
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Affiliation(s)
- Elena Colicino
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Riccardo Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Cavin Ward-Caviness
- US Environmental Protection Agency, Chapel Hill, NC 27514, USA.,Institute for Epidemiology II, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg D-85764, Germany
| | - Rahul Gondalia
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Weihua Guan
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Brian Chen
- Longitudinal Study Section, Translational Gerontology Branch, National Institute of Aging, Bethesda, MD 20892, USA
| | - Pei-Chien Tsai
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Tianxiao Huan
- National Heart, Lung, and Blood Institute, Bethesda, MD 20892, USA
| | - Gao Xu
- Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Agha Golareh
- Columbia University Mailman School of Public Health, New York, NY 10032, USA
| | - Joel Schwartz
- Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Pantel Vokonas
- VA Boston Healthcare System and Boston University Schools of Public Health and Medicine, Boston, MA 02115, USA
| | - Allan Just
- Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - John M Starr
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Allan F McRae
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Naomi R Wray
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Peter M Visscher
- Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia
| | - Jan Bressler
- University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Wen Zhang
- Department of Biostatistics and Data Science, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Toshiko Tanaka
- Longitudinal Study Section, Translational Gerontology Branch, National Institute of Aging, Bethesda, MD 20892, USA
| | - Ann Zenobia Moore
- Longitudinal Study Section, Translational Gerontology Branch, National Institute of Aging, Bethesda, MD 20892, USA
| | - Luke C Pilling
- Epidemiology and Public Health Group, University of Exeter Medical School, Exeter, UK
| | - Guosheng Zhang
- Department of Genetics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - James D Stewart
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Yun Li
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Lifang Hou
- Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Juan Castillo-Fernandez
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Tim Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Douglas P Kiel
- Hebrew SeniorLife Institute for Aging Research and Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School Boston, MA 02215, USA
| | - Joanne M Murabito
- Section General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA 02215, USA
| | - Chunyu Liu
- Boston University School of Public Health, Boston, MA 02215, USA
| | - Mike Mendelson
- Boston University School of Medicine, Boston, MA 02215, USA
| | - Tim Assimes
- Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Devin Absher
- Hudson Alpha Institute for Biotechnology, Huntsville, AL 35806, USA
| | - Phil S Tsaho
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ake T Lu
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | | | - Rory Wilson
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg D-85764, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg D-85764, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg S-85764, Germany
| | | | - Jordana T Bell
- Department of Twin Research and Genetic Epidemiology, King's College London, London SE1 7EH, UK
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA 01702, USA
| | - Ian J Deary
- Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Steve Horvath
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Jim Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN 55455, USA
| | - Annette Peters
- Institute for Epidemiology II, Helmholtz Zentrum Munich, German Research Center for Environmental Health, Neuherberg D-85764, Germany
| | - Eric A Whitsel
- Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC 27514, USA
| | - Andrea Baccarelli
- Columbia University Mailman School of Public Health, New York, NY 10032, USA
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36
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Scorza P, Duarte CS, Lee S, Wu H, Posner JE, Baccarelli A, Monk C. Epigenetic Intergenerational Transmission: Mothers' Adverse Childhood Experiences and DNA Methylation. J Am Acad Child Adolesc Psychiatry 2020; 59:900-901. [PMID: 32666920 PMCID: PMC7898414 DOI: 10.1016/j.jaac.2020.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Revised: 02/28/2020] [Accepted: 05/12/2020] [Indexed: 02/07/2023]
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37
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Wang C, Just A, Heiss J, Coull BA, Hou L, Zheng Y, Sparrow D, Vokonas PS, Baccarelli A, Schwartz J. Biomarkers of aging and lung function in the normative aging study. Aging (Albany NY) 2020; 12:11942-11966. [PMID: 32561690 PMCID: PMC7343502 DOI: 10.18632/aging.103363] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [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: 02/20/2019] [Accepted: 05/20/2020] [Indexed: 12/17/2022]
Abstract
Elderly individuals who are never smokers but have the same height and chronological age can have substantial differences in lung function. The underlying biological mechanisms are unclear. To evaluate the associations of different biomarkers of aging (BoA) and lung function, we performed a repeated-measures analysis in the Normative Aging Study using linear mixed-effect models. We generated GrimAgeAccel, PhenoAgeAccel, extrinsic and intrinsic epigenetic age acceleration using a publically available online calculator. We calculated Zhang's DNAmRiskScore based on 10 CpGs. We measured telomere length (TL) and mitochondrial DNA copy number (mtDNA-CN) using quantitative real-time polymerase chain reaction. A pulmonary function test was performed measuring forced expiratory volume in 1 second / forced vital capacity (FEV1/FVC), FEV1, and maximum mid-expiratory flow (MMEF). Epigenetic-based BoA were associated with lower lung function. For example, a one-year increase in GrimAgeAccel was associated with a 13.64 mL [95% confidence interval (CI), 5.11 to 22.16] decline in FEV1; a 0.2 increase in Zhang's DNAmRiskScore was associated with a 0.009 L/s (0.005 to 0.013) reduction in MMEF. No association was found between TL/mtDNA-CN and lung function. Overall, this paper shows that epigenetics might be a potential mechanism underlying pulmonary dysfunction in the elderly.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Jonathan Heiss
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brent A Coull
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Yinan Zheng
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - David Sparrow
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Pantel S Vokonas
- VA Normative Aging Study, VA Boston Healthcare System, Boston, MA 02130, USA.,Department of Medicine, Boston University School of Medicine, Boston, MA 02118, USA
| | - Andrea Baccarelli
- Department of Epidemiology and Environmental Health Sciences, Columbia University, New York, NY 10027, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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38
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Gao X, Baccarelli A. Reply to Alexis: Controlled Chamber Studies Showed Protective Effect of Nonsteroidal Antiinflammatory Drugs against Ozone Exposure: The Stage Was Set for Broader Epidemiologic Investigation. Am J Respir Crit Care Med 2020; 201:1583-1584. [PMID: 32126182 PMCID: PMC7301728 DOI: 10.1164/rccm.202002-0385le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Xu Gao
- Columbia UniversityNew York, New York
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39
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Fiorito G, McCrory C, Robinson O, Carmeli C, Ochoa-Rosales C, Zhang Y, Colicino E, Dugué PA, Artaud F, McKay GJ, Jeong A, Mishra PP, Nøst TH, Krogh V, Panico S, Sacerdote C, Tumino R, Palli D, Matullo G, Guarrera S, Gandini M, Bochud M, Dermitzakis E, Muka T, Schwartz J, Vokonas PS, Just A, Hodge AM, Giles GG, Southey MC, Hurme MA, Young I, McKnight AJ, Kunze S, Waldenberger M, Peters A, Schwettmann L, Lund E, Baccarelli A, Milne RL, Kenny RA, Elbaz A, Brenner H, Kee F, Voortman T, Probst-Hensch N, Lehtimäki T, Elliot P, Stringhini S, Vineis P, Polidoro S. Socioeconomic position, lifestyle habits and biomarkers of epigenetic aging: a multi-cohort analysis. Aging (Albany NY) 2020; 11:2045-2070. [PMID: 31009935 PMCID: PMC6503871 DOI: 10.18632/aging.101900] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [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: 11/16/2018] [Accepted: 03/31/2019] [Indexed: 12/12/2022]
Abstract
Differences in health status by socioeconomic position (SEP) tend to be more evident at older ages, suggesting the involvement of a biological mechanism responsive to the accumulation of deleterious exposures across the lifespan. DNA methylation (DNAm) has been proposed as a biomarker of biological aging that conserves memory of endogenous and exogenous stress during life. We examined the association of education level, as an indicator of SEP, and lifestyle-related variables with four biomarkers of age-dependent DNAm dysregulation: the total number of stochastic epigenetic mutations (SEMs) and three epigenetic clocks (Horvath, Hannum and Levine), in 18 cohorts spanning 12 countries. The four biological aging biomarkers were associated with education and different sets of risk factors independently, and the magnitude of the effects differed depending on the biomarker and the predictor. On average, the effect of low education on epigenetic aging was comparable with those of other lifestyle-related risk factors (obesity, alcohol intake), with the exception of smoking, which had a significantly stronger effect. Our study shows that low education is an independent predictor of accelerated biological (epigenetic) aging and that epigenetic clocks appear to be good candidates for disentangling the biological pathways underlying social inequalities in healthy aging and longevity.
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Affiliation(s)
- Giovanni Fiorito
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy.,Equal contribution
| | - Cathal McCrory
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.,Equal contribution
| | - Oliver Robinson
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.,Equal contribution
| | - Cristian Carmeli
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Equal contribution
| | - Carolina Ochoa-Rosales
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Centro de Vida Saludable de la Universidad de Concepción, Concepción, Chile.,Equal contribution
| | - Yan Zhang
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Equal contribution
| | - Elena Colicino
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA.,Equal contribution
| | - Pierre-Antoine Dugué
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.,Equal contribution
| | - Fanny Artaud
- CESP, Faculté de Médecine - Université Paris-Sud, Faculté de Médecine, UVSQ, Institut National de la Santé et de la Recherche Médicale, -, Université Paris, Saclay, France.,Equal contribution
| | - Gareth J McKay
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.,Equal contribution
| | - Ayoung Jeong
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland.,Equal contribution
| | - Pashupati P Mishra
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.,Equal contribution
| | - Therese H Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.,NILU Norwegian Institute for Air Research, The Fram Centre, Tromsø, Norway.,Equal contribution
| | - Vittorio Krogh
- Fondazione IRCCS - Istituto Nazionale dei Tumori, Milan, Italy
| | - Salvatore Panico
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Carlotta Sacerdote
- Piedmont Reference Centre for Epidemiology and Cancer Prevention (CPO Piemonte), Turin, Italy
| | - Rosario Tumino
- Cancer Registry and Histopathology Department, 'Civic - M. P. Arezzo' Hospital, ASP Ragusa, Ragusa, Italy
| | - Domenico Palli
- Istituto per lo Studio, la Prevenzione e la Rete Oncologica (ISPRO Toscana), Florence, Italy
| | - Giuseppe Matullo
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Simonetta Guarrera
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy.,Department of Medical Sciences, University of Torino, Torino, Italy
| | - Martina Gandini
- Environmental Epidemiological Unit, Regional Environmental Protection Agency, Piedmont Region, Torino, Italy
| | - Murielle Bochud
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Emmanouil Dermitzakis
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland
| | - Taulant Muka
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland
| | - Joel Schwartz
- Department of Environmental Health and Department of Epidemiology, Harvard T.H. School of Public Health, Boston, MA 02115, USA
| | - Pantel S Vokonas
- Department of Epidemiology, Boston University School of Public Health, Boston, MA 02115, USA
| | - Allan Just
- Icahn School of Medicine, Mount Sinai, New York, NY 10029, USA
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Melissa C Southey
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.,Department of Clinical Pathology, The University of Melbourne, Melbourne, Australia
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33014, Finland
| | - Ian Young
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Amy Jayne McKnight
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland
| | - Sonja Kunze
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Melanie Waldenberger
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Cardiovascular Research (DZHK), Munich, Germany
| | - Annette Peters
- Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany.,German Center for Cardiovascular Research (DZHK), Munich, Germany.,Ludwig-Maximilians-Universität München, Munich, Germany
| | - Lars Schwettmann
- Institute of Health Economics and Health Care Management, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, D-85764, Germany.,Department of Economics, Martin Luther University Halle-Wittenberg, Halle, Germany.,Equal senior researcher
| | - Eiliv Lund
- Department of Community Medicine, Faculty of Health Sciences, UiT-The Arctic University of Norway, Tromsø, Norway.,Equal senior researcher
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY 10032, USA.,Equal senior researcher
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.,Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia.,Equal senior researcher
| | - Rose A Kenny
- The Irish Longitudinal Study on Ageing, Trinity College Dublin, Dublin, Ireland.,Equal senior researcher
| | - Alexis Elbaz
- CESP, Faculté de Médecine - Université Paris-Sud, Faculté de Médecine, UVSQ, Institut National de la Santé et de la Recherche Médicale, -, Université Paris, Saclay, France.,Equal senior researcher
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Network Aging Research, University of Heidelberg, Heidelberg, Germany.,Equal senior researcher
| | - Frank Kee
- Centre for Public Health, Queen's University Belfast, Belfast, Northern Ireland.,Equal senior researcher
| | - Trudy Voortman
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, the Netherlands.,Equal senior researcher
| | - Nicole Probst-Hensch
- Swiss Tropical and Public Health Institute, Basel, Switzerland.,University of Basel, Basel, Switzerland.,Equal senior researcher
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, 33520, Finland.,Equal senior researcher
| | - Paul Elliot
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.,Equal senior researcher
| | - Silvia Stringhini
- Institute of Social and Preventive Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland.,Unit of Population Epidemiology, Primary Care Division, Geneva University Hospitals, Geneva, Switzerland.,Equal senior researcher
| | - Paolo Vineis
- MRC-PHE Centre for Environment and Health, Imperial College London, London, UK.,Equal senior researcher
| | - Silvia Polidoro
- Italian Institute for Genomic Medicine (IIGM), Turin, Italy.,Equal senior researcher
| | | | -
- See ACKNOWLEDGMENTS AND FUNDING
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40
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Belsky DW, Caspi A, Arseneault L, Baccarelli A, Corcoran DL, Gao X, Hannon E, Harrington HL, Rasmussen LJH, Houts R, Huffman K, Kraus WE, Kwon D, Mill J, Pieper CF, Prinz JA, Poulton R, Schwartz J, Sugden K, Vokonas P, Williams BS, Moffitt TE. Quantification of the pace of biological aging in humans through a blood test, the DunedinPoAm DNA methylation algorithm. eLife 2020; 9:e54870. [PMID: 32367804 PMCID: PMC7282814 DOI: 10.7554/elife.54870] [Citation(s) in RCA: 185] [Impact Index Per Article: 46.3] [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: 01/03/2020] [Accepted: 04/22/2020] [Indexed: 12/11/2022] Open
Abstract
Biological aging is the gradual, progressive decline in system integrity that occurs with advancing chronological age, causing morbidity and disability. Measurements of the pace of aging are needed as surrogate endpoints in trials of therapies designed to prevent disease by slowing biological aging. We report a blood-DNA-methylation measure that is sensitive to variation in pace of biological aging among individuals born the same year. We first modeled change-over-time in 18 biomarkers tracking organ-system integrity across 12 years of follow-up in n = 954 members of the Dunedin Study born in 1972-1973. Rates of change in each biomarker over ages 26-38 years were composited to form a measure of aging-related decline, termed Pace-of-Aging. Elastic-net regression was used to develop a DNA-methylation predictor of Pace-of-Aging, called DunedinPoAm for Dunedin(P)ace(o)f(A)ging(m)ethylation. Validation analysis in cohort studies and the CALERIE trial provide proof-of-principle for DunedinPoAm as a single-time-point measure of a person's pace of biological aging.
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Affiliation(s)
- Daniel W Belsky
- Department of Epidemiology, Columbia University Mailman School of Public HealthNew YorkUnited States
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Avshalom Caspi
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Louise Arseneault
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - David L Corcoran
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Xu Gao
- Laboratory of Precision Environmental Health, Mailman School of Public Health, Columbia UniversityNew YorkUnited States
| | - Eiliss Hannon
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Hona Lee Harrington
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Line JH Rasmussen
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Clinical Research Centre, Copenhagen University Hospital Amager and HvidovreHvidovreDenmark
| | - Renate Houts
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Kim Huffman
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke UniversityDurhamUnited States
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
| | - Dayoon Kwon
- Butler Columbia Aging Center, Columbia University Mailman School of Public HealthNew YorkUnited States
| | - Jonathan Mill
- University of Exeter Medical School, College of Medicine and HealthExeterUnited Kingdom
| | - Carl F Pieper
- Duke University Center for the Study of Aging, Duke UniversityDurhamUnited States
- Department of Biostatistics, Duke University School of MedicineDurhamUnited States
| | - Joseph A Prinz
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
| | - Richie Poulton
- Department of Psychology and Dunedin Multidisciplinary Health and Development Research Unit, University of OtagoOtagoNew Zealand
| | - Joel Schwartz
- Department of Environmental Health Sciences, Harvard TH Chan School of Public HealthBostonUnited States
| | - Karen Sugden
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Pantel Vokonas
- Veterans Affairs Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of MedicineBostonUnited States
| | - Benjamin S Williams
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
| | - Terrie E Moffitt
- Social, Genetic, and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College LondonLondonUnited Kingdom
- Department of Psychology and Neuroscience, Duke UniversityDurhamUnited States
- Department of Psychiatry and Behavioral Sciences, Duke University School of MedicineDurhamUnited States
- Center for Genomic and Computational Biology, Duke UniversityDurhamUnited States
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41
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Wang C, Koutrakis P, Gao X, Baccarelli A, Schwartz J. Associations of annual ambient PM 2.5 components with DNAm PhenoAge acceleration in elderly men: The Normative Aging Study. Environ Pollut 2020; 258:113690. [PMID: 31818625 PMCID: PMC7044052 DOI: 10.1016/j.envpol.2019.113690] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [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: 07/24/2019] [Revised: 11/10/2019] [Accepted: 11/27/2019] [Indexed: 05/24/2023]
Abstract
Current studies indicate that long-term exposure to ambient fine particulate matter (PM2.5) is related with global mortality, yet no studies have explored relationships of PM2.5 and its species with DNAm PhenoAge acceleration (DNAmPhenoAccel), a new epigenetic biomarker of phenotypic age. We identified which PM2.5 species had association with DNAmPhenoAccel in a one-year exposure window in a longitudinal cohort. We collected whole blood samples from 683 elderly men in the Normative Aging Study between 1999 and 2013 (n = 1254 visits). DNAm PhenoAge was calculated using 513 CpGs retrieved from the Illumina Infinium HumanMethylation450 BeadChip. Daily concentrations of PM2.5 species were measured at a fixed air-quality monitoring site and one-year moving averages were computed. Linear mixed-effect (LME) regression and Bayesian kernel machine (BKM) regression were used to estimate the associations. The covariates included chronological age, body mass index (BMI), cigarette pack years, smoking status, estimated cell types, batch effects etc. Benjamini-Hochberg false discovery rate at a 5% false positive threshold was used to adjust for multiple comparison. During the study period, the mean DNAm PhenoAge and chronological age in our subjects were 68 and 73 years old, respectively. Using LME model, only lead and calcium were significantly associated with DNAmPhenoAccel. For example, an interquartile range (IQR, 0.0011 μg/m3) increase in lead was associated with a 1.29-year [95% confidence interval (CI): 0.47, 2.11] increase in DNAmPhenoAccel. Using BKM model, we selected PM2.5, lead, and silicon to be predictors for DNAmPhenoAccel. A subsequent LME model showed that only lead had significant effect on DNAmPhenoAccel: 1.45-year (95% CI: 0.46, 2.46) increase in DNAmPhenoAccel following an IQR increase in one-year lead. This is the first study that investigates long-term effects of PM2.5 components on DNAmPhenoAccel. The results demonstrate that lead and calcium contained in PM2.5 was robustly associated with DNAmPhenoAccel.
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Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
| | - Xu Gao
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA
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42
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Howe CG, Cox B, Fore R, Jungius J, Kvist T, Lent S, Miles HE, Salas LA, Rifas-Shiman S, Starling AP, Yousefi P, Ladd-Acosta C, Baccarelli A, Binder EB, Chatzi VL, Czamara D, Dabelea D, DeMeo DL, Ghantous A, Herceg Z, Kajantie E, Lahti JMT, Lawlor DA, Litonjua A, Nawrot TS, Nohr EA, Oken E, Pizzi C, Plusquin M, Räikkönen K, Relton CL, Sharp GC, Sørensen TIA, Sunyer J, Vrijheid M, Zhang W, Hivert MF, Breton CV. Maternal Gestational Diabetes Mellitus and Newborn DNA Methylation: Findings From the Pregnancy and Childhood Epigenetics Consortium. Diabetes Care 2020; 43:98-105. [PMID: 31601636 PMCID: PMC6925578 DOI: 10.2337/dc19-0524] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2019] [Accepted: 09/17/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Maternal gestational diabetes mellitus (GDM) has been associated with adverse outcomes in the offspring. Growing evidence suggests that the epigenome may play a role, but most previous studies have been small and adjusted for few covariates. The current study meta-analyzed the association between maternal GDM and cord blood DNA methylation in the Pregnancy and Childhood Epigenetics (PACE) consortium. RESEARCH DESIGN AND METHODS Seven pregnancy cohorts (3,677 mother-newborn pairs [317 with GDM]) contributed results from epigenome-wide association studies, using DNA methylation data acquired by the Infinium HumanMethylation450 BeadChip array. Associations between GDM and DNA methylation were examined using robust linear regression, with adjustment for potential confounders. Fixed-effects meta-analyses were performed using METAL. Differentially methylated regions (DMRs) were identified by taking the intersection of results obtained using two regional approaches: comb-p and DMRcate. RESULTS Two DMRs were identified by both comb-p and DMRcate. Both regions were hypomethylated in newborns exposed to GDM in utero compared with control subjects. One DMR (chr 1: 248100345-248100614) was located in the OR2L13 promoter, and the other (chr 10: 135341870-135342620) was located in the gene body of CYP2E1. Individual CpG analyses did not reveal any differentially methylated loci based on a false discovery rate-adjusted P value threshold of 0.05. CONCLUSIONS Maternal GDM was associated with lower cord blood methylation levels within two regions, including the promoter of OR2L13, a gene associated with autism spectrum disorder, and the gene body of CYP2E1, which is upregulated in type 1 and type 2 diabetes. Future studies are needed to understand whether these associations are causal and possible health consequences.
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Affiliation(s)
- Caitlin G Howe
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Bianca Cox
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Ruby Fore
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - James Jungius
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Tuomas Kvist
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Samantha Lent
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Harriet E Miles
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Lucas A Salas
- Department of Epidemiology, Geisel School of Medicine at Dartmouth, Lebanon, NH
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
| | - Sheryl Rifas-Shiman
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Anne P Starling
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Paul Yousefi
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
| | - Christine Ladd-Acosta
- Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY
| | - Elisabeth B Binder
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA
| | - Vaia Lida Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
- Department of Social Medicine, University of Crete, Heraklion, Crete, Greece
- Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Dawn L DeMeo
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer, Lyon, France
| | - Eero Kajantie
- National Institute for Health and Welfare, Helsinki, Finland
- Research Unit for Pediatrics, Dermatology, Clinical Genetics, Obstetrics and Gynecology, Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
- Department of Clinical and Molecular Medicine, Norwegian University for Science and Technology, Trondheim, Norway
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Jari M T Lahti
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Debbie A Lawlor
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Augusto Litonjua
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Department of Public Health and Primary Care, Leuven University, Leuven, Belgium
| | - Ellen A Nohr
- Research Unit for Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Emily Oken
- Department of Psychology and Logopedics, University of Helsinki, Helsinki, Finland
| | - Costanza Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - Michelle Plusquin
- Center for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Katri Räikkönen
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Population Health Science, Bristol Medical School, University of Bristol, Bristol, U.K
- Bristol NIHR Biomedical Research Centre, Bristol, U.K
| | - Gemma C Sharp
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
| | - Thorkild I A Sørensen
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, U.K
- Section on Metabolic Genetics, Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jordi Sunyer
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Martine Vrijheid
- ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra, Barcelona, Spain
- CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Weiming Zhang
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora, CO
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA
- Diabetes Unit, Massachusetts General Hospital, Boston, MA
| | - Carrie V Breton
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
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43
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Moody EC, Cantoral A, Tamayo-Ortiz M, Pizano-Zárate ML, Schnaas L, Kloog I, Oken E, Coull B, Baccarelli A, Téllez-Rojo MM, Wright RO, Just AC. Association of Prenatal and Perinatal Exposures to Particulate Matter With Changes in Hemoglobin A1c Levels in Children Aged 4 to 6 Years. JAMA Netw Open 2019; 2:e1917643. [PMID: 31851346 PMCID: PMC6991256 DOI: 10.1001/jamanetworkopen.2019.17643] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Environmental risk factors for childhood type 2 diabetes, an increasing global problem, are understudied. Air pollution exposure has been reported to be a risk factor for this condition. OBJECTIVE To examine the association between prenatal and perinatal exposures to fine particulate matter with a diameter less than 2.5 μm (PM2.5) and changes in hemoglobin A1c (HbA1c), a measure of glycated hemoglobin and marker of glucose dysregulation, in children aged 4 to 7 years. DESIGN, SETTING, AND PARTICIPANTS The Programming Research in Obesity, Growth, Environment, and Social Stressors (PROGRESS) study, a birth cohort study conducted in Mexico City, Mexico, recruited pregnant women from July 3, 2007, to February 21, 2011, through public health maternity clinics. The present analysis includes 365 mother-child pairs followed up until the child was approximately 7 years of age. This study included data from only study visits at approximately 4 to 5 years (visit 1) and 6 to 7 years (visit 2) post partum because HbA1c levels were not measured in earlier visits. The data were analyzed from March 11, 2018, to May 3, 2019. EXPOSURES Daily PM2.5 exposure estimates at participants' home addresses from 4 weeks prior to mothers' date of last menstrual period (LMP), a marker of the beginning of pregnancy, to 12 weeks after the due date. Exposure was estimated from satellite measurements and calibrated against ground PM2.5 measurements, land use, and meteorological variables. MAIN OUTCOMES AND MEASURES Outcomes included HbA1c levels at 4 to 5 years and 6 to 7 years of age, and the change in the level from the former age group to the latter. RESULTS The sample included 365 children, of whom 184 (50.4%) were girls. The mean (range) age of the children was 4.8 (4.0-6.4) years at visit 1, and 6.7 (6.0-9.7) years at visit 2. At the time of delivery, the mean (range) age of the mothers was 27.7 (18.3-44.4) years, with a mean (range) prepregnancy body mass index of 26.4 (18.5-43.5). The mean (SD) prenatal PM2.5 exposure (22.4 μg/m3 [2.7 μg/m3]) was associated with an annual increase in HbA1c levels of 0.25% (95% CI, 0.004%-0.50%) from age 4 to 5 years to 6 to 7 years compared with exposure at 12 μg/m3, the national regulatory standard in Mexico. Sex-specific effect estimates were statistically significant for girls (β = 0.21%; 95% CI, 0.10% to 0.32%) but not for boys (β = 0.31%; 95% CI, -0.09% to 0.72%). The statistically significant windows of exposure were from week 28 to 50.6 after the mother's LMP for the overall cohort and from week 11 to the end of the study period for girls. Lower HbA1c levels were observed at age 4 to 5 years in girls (β = -0.72%; 95% CI, -1.31% to -0.13%, exposure window from week 16 to 37.3) and boys (β = -0.98%; 95% CI, -1.70% to -0.26%, exposure window from the beginning of the study period to week 32.7), but no significant association was found in the overall cohort (β = -0.13%; 95% CI, -1.27% to 1.01%). There was no significant association between PM2.5 exposure and HbA1c level at age 6 to 7 years in any group. CONCLUSIONS AND RELEVANCE The findings of this study suggest that prenatal and perinatal exposures to PM2.5 are associated with changes in HbA1c, which are indicative of glucose dysregulation, in early childhood. Further research is needed because this finding may represent a risk factor for childhood or adolescent diabetes.
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Affiliation(s)
- Emily C. Moody
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Alejandra Cantoral
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
- National Council of Science and Technology, Mexico City, Mexico
| | - Marcela Tamayo-Ortiz
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
- National Council of Science and Technology, Mexico City, Mexico
| | - Ma. Luisa Pizano-Zárate
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Lourdes Schnaas
- Division of Community Interventions Research, National Institute of Perinatology, Mexico City, Mexico
| | - Itai Kloog
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
- Department of Geography & Human Environment, Ben Gurion University of the Negev, Be’er Sheva, Israel
| | - Emily Oken
- Harvard Medical School and Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts
| | - Brent Coull
- Department of Biostatistics and Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York
| | - Martha M. Téllez-Rojo
- Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Robert O. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Allan C. Just
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York
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Nwanaji-Enwerem JC, Wang W, Nwanaji-Enwerem O, Vokonas P, Baccarelli A, Weisskopf M, Herndon LW, Wiggs JL, Park SK, Schwartz J. Association of Long-term Ambient Black Carbon Exposure and Oxidative Stress Allelic Variants With Intraocular Pressure in Older Men. JAMA Ophthalmol 2019; 137:129-137. [PMID: 30419128 DOI: 10.1001/jamaophthalmol.2018.5313] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Importance Elevated intraocular pressure is a major risk factor for glaucoma, a leading cause of irreversible blindness worldwide. Environmental air pollution has been suggested as a potential contributor to elevated intraocular pressure; however, no studies have demonstrated such an association to date. Objective To investigate the association of long-term ambient black carbon exposure with intraocular pressure in community-dwelling older adults. Design, Setting, and Participants This population-based analysis, conducted from October 18, 2017, through March 22, 2018, used data from the all-male, New England-based Normative Aging Study of the US Department of Veterans Affairs. The analysis included 419 older men with a total of 911 follow-up study visits between January 1, 2000, and December 30, 2011. Intraocular pressure was measured by Goldmann applanation tonometry during the study visits. Validated spatiotemporal models were used to generate 1-year black carbon exposure levels at the addresses of the participants. Main Outcomes and Measures An independently developed genetic score approach was used to calculate allelic risk scores for 3 pathways associated with black carbon toxicity: endothelial function, oxidative stress, and metal processing. The associations among black carbon exposure, allelic risk scores, and intraocular pressure were explored using linear mixed-effects models. Results All 419 participants were men with a mean (SD) age of 75.3 (6.9) years. The mean (SD) 1-year black carbon exposure was 0.51 (0.18) μg/m3, and the mean (SD) intraocular pressure for the left eye was 14.1 (2.8) mm Hg and for the right eye was 14.1 (3.0) mm Hg. Of the 911 visits, 520 (57.1%) had a high endothelial function allelic risk score, 644 (70.7%) had a high metal-processing allelic risk score, and 623 (68.4%) had a high oxidative stress allelic risk score. In fully adjusted linear mixed-effects models, the association of black carbon with intraocular pressure was greater in individuals with a high oxidative stress allelic score (β = 0.36; 95% CI, 0.003-0.73) compared with individuals with a low score (β = -0.35; 95% CI, -0.86 to 0.15). Conclusions and Relevance Ambient black carbon exposure may be a risk factor for increased intraocular pressure in individuals susceptible to other biological oxidative stressors. If additional studies confirm these results, monitoring ambient black carbon exposure and physiological oxidative stress may prevent the development and progression of intraocular pressure-related disease.
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Affiliation(s)
- Jamaji C Nwanaji-Enwerem
- Department of Environmental Health, Harvard T. H. Chan School of Public Health and MD-PhD Program, Harvard Medical School, Boston, Massachusetts
| | - Weiye Wang
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor
| | | | - Pantel Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, New York
| | - Marc Weisskopf
- Department of Environmental Health and Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
| | - Leon W Herndon
- Department of Ophthalmology, Duke University School of Medicine, Durham, North Carolina
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston
| | - Sung Kyun Park
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor.,Department of Environmental Health Sciences, University of Michigan School of Public Health, Ann Arbor
| | - Joel Schwartz
- Department of Environmental Health and Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts
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Abstract
The human epigenome is a flexible, environmental sensitive component of human biology that changes over time. Multiple studies have identified prospective changes in epigenetic marks that indicate that the epigenome ages as we grow older. These changes have been leveraged to create multiple indicators of age that may also predict mortality and age-related disease. There is ongoing research to determine the extent to which age-related epigenomics changes are inherent to cell biology and/or driven by lifestyle and environmental factors. In this presentation, I will review the current evidence derived from human aging studies and potential contributions to human health and disease. I will discuss the source of data, methodological challenges for large human studies, limitations and possible future directions.
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Affiliation(s)
- Andrea Baccarelli
- Columbia, Mailman School of Public Health, New York, New York, United States
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46
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Gillet V, Ouellet A, Stepanov Y, Rodosthenous RS, Croft EK, Brennan K, Abdelouahab N, Baccarelli A, Takser L. miRNA Profiles in Extracellular Vesicles From Serum Early in Pregnancies Complicated by Gestational Diabetes Mellitus. J Clin Endocrinol Metab 2019; 104:5157-5169. [PMID: 31058973 PMCID: PMC6760296 DOI: 10.1210/jc.2018-02693] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Accepted: 04/30/2019] [Indexed: 02/06/2023]
Abstract
CONTEXT Underlying mechanisms leading to gestational diabetes mellitus (GDM) are still under investigation, and it is unclear whether the placenta plays a role in triggering glucose intolerance or if its functions are modified in response to the hyperglycemia. Circulating miRNAs are involved in placental development and function and are encapsulated in extracellular vesicles (EVs). OBJECTIVE To compare differential expression of miRNAs in circulating EVs in pregnancies complicated by GDM vs controls. METHODS This was a case-control study nested in a prospective pregnancy cohort including 23 women with GDM and 46 matched controls. The presence of serum EVs in early pregnancy was validated by transmission electron microscopy. Placental dimensions were assessed at 11 to 13 weeks of gestation. Differential expression of 17 miRNAs encapsulated in EVs (miR‒122-5p, miR‒132-3p, miR-1323, miR‒182-3p, miR‒210-3p, miR‒29a-3p, miR‒29b-3p, miR‒342-3p, miR‒517-5p, miR‒517a-3p, miR‒518b, miR-520h, miR‒525-5p, miR‒136-5p, miR‒342-3p, miR‒376c-5p, and miR‒494-3p) was assessed using quantitative reverse transcription PCR. RESULTS EVs were present in the early phase of placentation (6 to 15 weeks of gestation) in both cases and controls. No differences were observed for placental dimensions and estimated placental volume between GDM and control groups. Ten miRNAs (miR‒122-5p; miR‒132-3p; miR‒1323; miR‒136-5p; miR‒182-3p; miR‒210-3p; miR‒29a-3p; miR‒29b-3p; miR‒342-3p, and miR-520h) showed significantly higher levels in GDM cases than in controls (P ≤ 0.05). Bioinformatics analysis showed that these miRNAs are involved in trophoblast proliferation/differentiation as well as in insulin secretion/regulation and glucose transport in pregnant women. CONCLUSION The miRNA content of blood EVs may be a promising avenue for studying the early effect of impaired glucose metabolism on placental development.
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Affiliation(s)
- Virginie Gillet
- Département de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Correspondence and Reprint Requests: Virginie Gillet, MSc, or Larissa Takser, MD, PhD, Faculté de Médecine et des Sciences de la Santé 3001, 12ème Avenue Nord, Sherbrooke, Québec J1H 5N4, Canada. E-mail: or
| | - Annie Ouellet
- Département d’Obstétrique et de Gynécologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Yulia Stepanov
- Département d’Obstétrique et de Gynécologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | | | - Erika Kathe Croft
- Département de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Kasey Brennan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Nadia Abdelouahab
- Département d’Obstétrique et de Gynécologie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Andrea Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Larissa Takser
- Département de Pédiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Département de Psychiatrie, Faculté de Médecine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec, Canada
- Correspondence and Reprint Requests: Virginie Gillet, MSc, or Larissa Takser, MD, PhD, Faculté de Médecine et des Sciences de la Santé 3001, 12ème Avenue Nord, Sherbrooke, Québec J1H 5N4, Canada. E-mail: or
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Signorelli SS, Oliveri Conti G, Zanobetti A, Baccarelli A, Fiore M, Ferrante M. Effect of particulate matter-bound metals exposure on prothrombotic biomarkers: A systematic review. Environ Res 2019; 177:108573. [PMID: 31323394 DOI: 10.1016/j.envres.2019.108573] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [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: 04/15/2019] [Revised: 06/24/2019] [Accepted: 07/01/2019] [Indexed: 05/25/2023]
Abstract
Environmental pollution is an important modifiable determinant for preventing cardiovascular diseases. Acute exposure to air pollution is linked to severe adverse cardiovascular events, including venous thromboembolism risk. The adverse health effects seem to arise from blood-borne metals and transition metal components from exposure to particulate matter that, when breathed, passes through the lungs into the heart and the blood stream. Pollution affects health via mechanisms including oxidative stress and inflammation, and metals may have a detrimental effect on both the blood cells, particularly platelets, and circulation. Some evidences demonstrates atherotrombotic consequences of acute and chronic exposure to air pollution, but few studies have examined exposure effects on the prothrombotic biomarkers leading to venous thromboembolism. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, we performed a systematic review (14 papers) of the past twelve years, focusing on the relationship between inhalable airborne metal exposures and coagulative biomarker disorders leading to lower limb venous thromboembolisms, e.g., deep vein thrombosis. Results support the hypothesis that exposure to inhalable metals, as elemental compounds in particulate matter, cause changes or activation of a number of human prothrombotic hemostatic biomarkers.
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Affiliation(s)
| | - Gea Oliveri Conti
- Environmental and Food Hygiene Laboratories (LIAA) - Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Catania University, Catania, Italy
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Maria Fiore
- Environmental and Food Hygiene Laboratories (LIAA) - Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Catania University, Catania, Italy
| | - Margherita Ferrante
- Environmental and Food Hygiene Laboratories (LIAA) - Department of Medical, Surgical Sciences and Advanced Technologies "G.F. Ingrassia", Catania University, Catania, Italy.
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Laubach ZM, Perng W, Cardenas A, Rifas-Shiman SL, Oken E, DeMeo D, Litonjua AA, Duca RC, Godderis L, Baccarelli A, Hivert MF. Socioeconomic status and DNA methylation from birth through mid-childhood: a prospective study in Project Viva. Epigenomics 2019; 11:1413-1427. [PMID: 31509016 PMCID: PMC6802709 DOI: 10.2217/epi-2019-0040] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Accepted: 06/20/2018] [Indexed: 12/28/2022] Open
Abstract
Aim: We investigated associations of prenatal socioeconomic status (SES) with DNA methylation at birth, and to explore persistence of associations into early (∼3 years) and mid-childhood (∼7 years) among 609 mother-child pairs in a Boston-area prebirth cohort. Materials & methods: First, we created a prenatal SES index comprising individual- and neighborhood-level metrics and examined associations of low (lowest 10%) versus high (upper 90%) SES with genome-wide DNA methylation in cord blood via the Infinium HumanMethylation450 BeadChip. Next, we evaluated persistence of associations detected in cord blood with DNA methylation of the same CpG sites measured in peripheral leukocytes in early- and mid-childhood. Results & conclusion: Low prenatal SES was associated with methylation at CpG sites near ACSF3, TNRC6C-AS1, MTMR4 and LRRN4. The relationship with LRRN4 persisted into early childhood.
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Affiliation(s)
- Zachary M Laubach
- Department of Integrative Biology, Michigan State University, East Lansing, MI 48823, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, Anschutz Medical Center, Aurora, CO 80045, USA
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720, USA
| | - Sheryl L Rifas-Shiman
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Dawn DeMeo
- Center for Chest Diseases, Brigham & Women's Hospital, Boston, MA 02115, USA
| | - Augusto A Litonjua
- Division of Pediatric Pulmonary Medicine, Golisano Children's Hospital at Strong, University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Radu-Corneliu Duca
- Centre for Environment & Health, Department of Public Health & Primary Care, University of Leuven (KU Leuven), 3000, Belgium
| | - Lode Godderis
- Centre for Environment & Health, Department of Public Health & Primary Care, University of Leuven (KU Leuven), 3000, Belgium
- IDEWE, External Service for Prevention at Protection at Work, Heverlee, 3001, Belgium
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Marie-France Hivert
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School/Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
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Kazmi N, Sharp GC, Reese SE, Vehmeijer FO, Lahti J, Page CM, Zhang W, Rifas-Shiman SL, Rezwan FI, Simpkin AJ, Burrows K, Richardson TG, Santos Ferreira DL, Fraser A, Harmon QE, Zhao S, Jaddoe VW, Czamara D, Binder EB, Magnus MC, Håberg SE, Nystad W, Nohr EA, Starling AP, Kechris KJ, Yang IV, DeMeo DL, Litonjua AA, Baccarelli A, Oken E, Holloway JW, Karmaus W, Arshad SH, Dabelea D, Sørensen TI, Laivuori H, Raikkonen K, Felix JF, London SJ, Hivert MF, Gaunt TR, Lawlor DA, Relton CL. Hypertensive Disorders of Pregnancy and DNA Methylation in Newborns. Hypertension 2019; 74:375-383. [PMID: 31230546 PMCID: PMC6635125 DOI: 10.1161/hypertensionaha.119.12634] [Citation(s) in RCA: 48] [Impact Index Per Article: 9.6] [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: 01/24/2019] [Revised: 02/23/2019] [Accepted: 05/13/2019] [Indexed: 12/15/2022]
Abstract
Hypertensive disorders of pregnancy (HDP) are associated with low birth weight, shorter gestational age, and increased risk of maternal and offspring cardiovascular diseases later in life. The mechanisms involved are poorly understood, but epigenetic regulation of gene expression may play a part. We performed meta-analyses in the Pregnancy and Childhood Epigenetics Consortium to test the association between either maternal HDP (10 cohorts; n=5242 [cases=476]) or preeclampsia (3 cohorts; n=2219 [cases=135]) and epigenome-wide DNA methylation in cord blood using the Illumina HumanMethylation450 BeadChip. In models adjusted for confounders, and with Bonferroni correction, HDP and preeclampsia were associated with DNA methylation at 43 and 26 CpG sites, respectively. HDP was associated with higher methylation at 27 (63%) of the 43 sites, and across all 43 sites, the mean absolute difference in methylation was between 0.6% and 2.6%. Epigenome-wide associations of HDP with offspring DNA methylation were modestly consistent with the equivalent epigenome-wide associations of preeclampsia with offspring DNA methylation (R2=0.26). In longitudinal analyses conducted in 1 study (n=108 HDP cases; 550 controls), there were similar changes in DNA methylation in offspring of those with and without HDP up to adolescence. Pathway analysis suggested that genes located at/near HDP-associated sites may be involved in developmental, embryogenesis, or neurological pathways. HDP is associated with offspring DNA methylation with potential relevance to development.
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Affiliation(s)
- Nabila Kazmi
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Gemma C. Sharp
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- School of Oral and Dental Sciences (G.C.S.), University of Bristol, United Kingdom
| | - Sarah E. Reese
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Florianne O. Vehmeijer
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Jari Lahti
- Department of Psychology and Logopedics, Faculty of Medicine (J.L., K.R.), University of Helsinki, Finland
- Helsinki Collegium of Advanced Studies (J.L.), University of Helsinki, Finland
| | - Christian M. Page
- Division of Mental and Physical Health (C.M.P., W.N.), Norwegian Institute of Public Health, Oslo
- Oslo Centre for Biostatistics and Epidemiology, Oslo University Hospital, Norway (C.M.P.)
| | - Weiming Zhang
- Department of Biostatistics and Informatics (W.Z., K.J.K.), University of Colorado Anschutz Medical Campus, Aurora
| | - Sheryl L. Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
| | - Faisal I. Rezwan
- Human Development and Health (F.I.R., J.W.H.), Faculty of Medicine University of Southampton, United Kingdom
| | - Andrew J. Simpkin
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Insight Centre for Data Analytics, National University of Ireland, Galway (A.J.S.)
| | - Kimberley Burrows
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Tom G. Richardson
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Diana L. Santos Ferreira
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Abigail Fraser
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
| | - Quaker E. Harmon
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Shanshan Zhao
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Vincent W.V. Jaddoe
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Darina Czamara
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany (D.C., E.B.B.)
| | - Elisabeth B. Binder
- Department of Translational Research in Psychiatry, Max-Planck Institute of Psychiatry, Munich, Germany (D.C., E.B.B.)
- Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA (E.B.B.)
| | - Maria C. Magnus
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Centre for Fertility and Health (M.C.M., S.E.H.), Norwegian Institute of Public Health, Oslo
| | - Siri E. Håberg
- Centre for Fertility and Health (M.C.M., S.E.H.), Norwegian Institute of Public Health, Oslo
| | - Wenche Nystad
- Division of Mental and Physical Health (C.M.P., W.N.), Norwegian Institute of Public Health, Oslo
| | - Ellen A. Nohr
- Research Unit of Gynaecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense (E.A.N.)
| | - Anne P. Starling
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
| | - Katerina J. Kechris
- Department of Biostatistics and Informatics (W.Z., K.J.K.), University of Colorado Anschutz Medical Campus, Aurora
| | - Ivana V. Yang
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
- Department of Medicine (I.V.Y.), University of Colorado Anschutz Medical Campus, Aurora
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO (I.V.Y.)
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA (D.L.D.)
| | - Augusto A. Litonjua
- Division of Pediatric Pulmonary Medicine, University of Rochester Medical Center, NY (A.A.L.)
| | - Andrea Baccarelli
- Laboratory of Precision Environmental Biosciences, Columbia University Mailman School of Public Health, New York, NY (A.B.)
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
| | - John W. Holloway
- Human Development and Health (F.I.R., J.W.H.), Faculty of Medicine University of Southampton, United Kingdom
- Clinical and Experimental Sciences (J.W.H., S.H.A.), Faculty of Medicine University of Southampton, United Kingdom
| | - Wilfried Karmaus
- Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, TN (W.K.)
| | - Syed H. Arshad
- Clinical and Experimental Sciences (J.W.H., S.H.A.), Faculty of Medicine University of Southampton, United Kingdom
| | - Dana Dabelea
- Department of Epidemiology (A.P.S., I.V.Y., D.D.), University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics (D.D.), University of Colorado Anschutz Medical Campus, Aurora
| | - Thorkild I.A. Sørensen
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section on Metabolic Genetics (T.I.A.S.), Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
- Department of Public Health, Section on Epidemiology (T.I.A.S.), Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Hannele Laivuori
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science (H.L.), University of Helsinki, Finland
- Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Finland (H.L.)
- Faculty of Medicine and Life Sciences, University of Tampere, Finland (H.L.)
- Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland (H.L.)
- Institute for Molecular Medicine Finland, Helsinki Institute of Life Science, University of Helsinki, Helsinki. Finland (H.L.)
| | - Katri Raikkonen
- Department of Psychology and Logopedics, Faculty of Medicine (J.L., K.R.), University of Helsinki, Finland
| | - Janine F. Felix
- The Generation R Study Group (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Epidemiology (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
- Department of Pediatrics (F.O.V., V.W.V.J., J.F.F.), Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Stephanie J. London
- Division of Intramural Research, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Durham, NC (S.E.R., Q.E.H., S.Z., S.J.L.)
| | - Marie-France Hivert
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA (S.L.R.-S., E.O., M.-F.H.)
- Diabetes Unit, Massachusetts General Hospital, Boston, MA (M.-F.H.)
| | - Tom R. Gaunt
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
| | - Debbie A. Lawlor
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
| | - Caroline L. Relton
- From the MRC Integrative Epidemiology Unit (N.K., G.C.S., A.J.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.I.A.S., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School (N.K., G.C.S., K.B., T.G.R., D.L.S.F., A.F., M.C.M., T.R.G., D.A.L., C.L.R.), University of Bristol, United Kingdom
- NIHR Bristol Biomedical Research Centre, Bristol, United Kingdom (T.R.G., D.A.L., C.L.R.)
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Dolcini J, Knox J, Baccarelli A. New epigenomic and genomic frontiers in personalized medicine: direct customer testing, are we ready? Epidemiol Prev 2019; 43:295-299. [PMID: 31650785 DOI: 10.19191/ep19.4.p295.080] [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] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Direct-to-Consumer genetic testing provokes both excitement and concern in physicians and scientists alike. The enormous potential of these tests is partially contingent upon the complexity of their design, which can lead to difficulty in interpreting results for the everyday customer. At present, the scientific community lacks a cohesive stance on the proper regulations for these tests. The lack of regulation is concerning both for the consumer and the field of personalized medicine. The problem is not purely scientific, but also legal. In the United States, numerous private companies have emerged introducing low-cost genetic and epigenetic kits: although individual companies can implement privacy protection policies, there is no federal law that imposes specific requirements. Since these kits are shipped around the world, the problem becomes global and in countries like Italy and Europe very strict privacy laws may represent a problem for autonomous use of these kits. The medical, scientific and legislative communities must work in tandem for the development of specific laws that include these new technologies, as well as precise guidelines for the correct use and validation of these resources. If used improperly, these new technologies could generate public health problems. Moreover, their misuse could also increase the amount of unreliable scientific information available to the general population regarding health issues.
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Affiliation(s)
- Jacopo Dolcini
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York (USA);
- Department of Biomedical Sciences, Section of Hygiene, Preventive Medicine and Public Health, School of Medicine, Polytechnic University of Marche, Ancona (Italy)
| | - Julia Knox
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York (USA)
| | - Andrea Baccarelli
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York (USA)
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