1
|
Luo F, Wu Y, Li Y, Xu H, Wang L, Jiang L, Liu H. PM 2.5 regulates the progression of lung adenocarcinoma through the axis of HCG18, miR-195 and ATG14. Clin Exp Pharmacol Physiol 2024; 51:e13861. [PMID: 38724488 DOI: 10.1111/1440-1681.13861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 11/30/2023] [Accepted: 12/06/2023] [Indexed: 06/27/2024]
Abstract
Relevant studies have indicated the association of HCG18 with tumour occurrence and progression. In this study, we observed that PM2.5 can enhance the growth of lung adenocarcinoma cells by modulating the expression of HCG18. Further investigations, including overexpression and knockout experiments, elucidated that HCG18 suppresses miR-195, which in turn upregulates the expression of ATG14, resulting in the upregulation of autophagy. Consequently, exposure to PM2.5 leads to elevated HCG18 expression in lung tissues, which in turn increases Atg14 expression and activates autophagy pathways through inhibition of miR-195, thereby contributing to oncogenesis.
Collapse
Affiliation(s)
- Feng Luo
- Department of Thoracic Surgery, Shanghai Xinhua Hospital Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yinghui Wu
- School of Nursing, Shanghai Jiao Tong University, Shanghai, China
| | - Yao Li
- Department of Disaster and Emergency Medicine, Shanghai East Hospital, Tongji University, Shanghai, China
| | - Huaiyang Xu
- Department of Thoracic Surgery, Shanghai Xinhua Hospital Chongming Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Wang
- Department of Cardiothoracic Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lianyong Jiang
- Department of Cardiothoracic Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongtao Liu
- Department of Cardiothoracic Surgery, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| |
Collapse
|
2
|
Wang C, Amini H, Xu Z, Peralta AA, Yazdi MD, Qiu X, Wei Y, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Baccarelli AA, Schwartz JD. Long-term exposure to ambient fine particulate components and leukocyte epigenome-wide DNA Methylation in older men: the Normative Aging Study. Environ Health 2023; 22:54. [PMID: 37550674 PMCID: PMC10405403 DOI: 10.1186/s12940-023-01007-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Accepted: 07/26/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Epigenome-wide association studies of ambient fine particulate matter (PM2.5) have been reported. However, few have examined PM2.5 components (PMCs) and sources or included repeated measures. The lack of high-resolution exposure measurements is the key limitation. We hypothesized that significant changes in DNA methylation might vary by PMCs and the sources. METHODS We predicted the annual average of 14 PMCs using novel high-resolution exposure models across the contiguous U.S., between 2000-2018. The resolution was 50 m × 50 m in the Greater Boston Area. We also identified PM2.5 sources using positive matrix factorization. We repeatedly collected blood samples and measured leukocyte DNAm with the Illumina HumanMethylation450K BeadChip in the Normative Aging Study. We then used median regression with subject-specific intercepts to estimate the associations between long-term (one-year) exposure to PMCs / PM2.5 sources and DNA methylation at individual cytosine-phosphate-guanine CpG sites. Significant probes were identified by the number of independent degrees of freedom approach, using the number of principal components explaining > 95% of the variation of the DNA methylation data. We also performed regional and pathway analyses to identify significant regions and pathways. RESULTS We included 669 men with 1,178 visits between 2000-2013. The subjects had a mean age of 75 years. The identified probes, regions, and pathways varied by PMCs and their sources. For example, iron was associated with 6 probes and 6 regions, whereas nitrate was associated with 15 probes and 3 regions. The identified pathways from biomass burning, coal burning, and heavy fuel oil combustion sources were associated with cancer, inflammation, and cardiovascular diseases, whereas there were no pathways associated with all traffic. CONCLUSIONS Our findings showed that the effects of PM2.5 on DNAm varied by its PMCs and sources.
Collapse
Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
| | - Heresh Amini
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Public Health, Faculty of Health and Medical Sciences, Section of Environmental Health, University of Copenhagen, Copenhagen, Denmark
| | - Zongli Xu
- Biostatistics & Computational Biology Branch, National Institute of Environmental Health Sciences, NIH, Research Triangle Park, Durham, NC, USA
| | - Adjani A Peralta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Mahdieh Danesh Yazdi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Xinye Qiu
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Yaguang Wei
- 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
| | - 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
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
| |
Collapse
|
3
|
Jiménez-Garza O, Ghosh M, Barrow TM, Godderis L. Toxicomethylomics revisited: A state-of-the-science review about DNA methylation modifications in blood cells from workers exposed to toxic agents. Front Public Health 2023; 11:1073658. [PMID: 36891347 PMCID: PMC9986591 DOI: 10.3389/fpubh.2023.1073658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 01/25/2023] [Indexed: 02/22/2023] Open
Abstract
Introduction Epigenetic marks have been proposed as early changes, at the subcellular level, in disease development. To find more specific biomarkers of effect in occupational exposures to toxicants, DNA methylation studies in peripheral blood cells have been performed. The goal of this review is to summarize and contrast findings about DNA methylation in blood cells from workers exposed to toxicants. Methods A literature search was performed using PubMed and Web of Science. After first screening, we discarded all studies performed in vitro and in experimental animals, as well as those performed in other cell types other than peripheral blood cells. Results: 116 original research papers met the established criteria, published from 2007 to 2022. The most frequent investigated exposures/labor group were for benzene (18.9%) polycyclic aromatic hydrocarbons (15.5%), particulate matter (10.3%), lead (8.6%), pesticides (7.7%), radiation (4.3%), volatile organic compound mixtures (4.3%), welding fumes (3.4%) chromium (2.5%), toluene (2.5%), firefighters (2.5%), coal (1.7%), hairdressers (1.7%), nanoparticles (1.7%), vinyl chloride (1.7%), and others. Few longitudinal studies have been performed, as well as few of them have explored mitochondrial DNA methylation. Methylation platforms have evolved from analysis in repetitive elements (global methylation), gene-specific promoter methylation, to epigenome-wide studies. The most reported observations were global hypomethylation as well as promoter hypermethylation in exposed groups compared to controls, while methylation at DNA repair/oncogenes genes were the most studied; studies from genome-wide studies detect differentially methylated regions, which could be either hypo or hypermethylated. Discussion Some evidence from longitudinal studies suggest that modifications observed in cross-sectional designs may be transitory; then, we cannot say that DNA methylation changes are predictive of disease development due to those exposures. Conclusion Due to the heterogeneity in the genes studied, and scarcity of longitudinal studies, we are far away from considering DNA methylation changes as biomarkers of effect in occupational exposures, and nor can we establish a clear functional or pathological correlate for those epigenetic modifications associated with the studied exposures.
Collapse
Affiliation(s)
- Octavio Jiménez-Garza
- Health Sciences Institute, Autonomous University of Hidalgo State, Pachuca Hidalgo, Mexico
| | - Manosij Ghosh
- Environment and Health Department, Katholieke Universiteit Leuven, Leuven, Belgium
| | - Timothy M Barrow
- Faculty of Health Sciences and Wellbeing, University of Sunderland, Sunderland, United Kingdom
| | - Lode Godderis
- Environment and Health Department, Katholieke Universiteit Leuven, Leuven, Belgium
| |
Collapse
|
4
|
Wang C, Cardenas A, Hutchinson JN, Just A, Heiss J, Hou L, Zheng Y, Coull BA, Kosheleva A, Koutrakis P, Baccarelli AA, Schwartz JD. Short- and intermediate-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA methylation in older men: the Normative Aging Study. ENVIRONMENT INTERNATIONAL 2022; 158:106955. [PMID: 34717175 PMCID: PMC8710082 DOI: 10.1016/j.envint.2021.106955] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 10/18/2021] [Accepted: 10/22/2021] [Indexed: 05/08/2023]
Abstract
BACKGROUND Several epigenome-wide association studies (EWAS) of ambient particulate matter with aerodynamic diameter ≤ 2.5 µm (PM2.5) have been reported. However, EWAS of PM2.5 elements (PEs), reflecting different emission sources, are very limited. OBJECTIVES We performed EWAS of short- and intermediate-term exposure to PM2.5 and 13 PEs. We hypothesized that significant changes in DNAm may vary by PM2.5 mass and its elements. METHODS We repeatedly collected blood samples in the Normative Aging Study and measured leukocyte DNA methylation (DNAm) with the Illumina HumanMethylation450K BeadChip. We collected daily PM2.5 and 13 PEs at a fixed central site. To estimate the associations between each PE and DNAm at individual cytosine-phosphate-guanine (CpG) sites, we incorporated a distributed-lag (0-27 d) term in the setting of median regression with subject-specific intercept and examined cumulative lag associations. We also accounted for selection bias due to loss to follow-up and mortality prior to enrollment. Significantly differentially methylated probes (DMPs) were identified using Bonferroni correction for multiple testing. We further conducted regional and pathway analyses to identify significantly differentially methylated regions (DMRs) and pathways. RESULTS We included 695 men with 1,266 visits between 1999 and 2013. The subjects had a mean age of 75 years. The significant DMPs, DMRs, and pathways varied by to PM2.5 total mass and PEs. For example, PM2.5 total mass was associated with 2,717 DMPs and 10,470 DMRs whereas Pb was associated with 3,173 DMPs and 637 DMRs. The identified pathways by PM2.5 mass were mostly involved in mood disorders, neuroplasticity, immunity, and inflammation, whereas the pathways associated with motor vehicles (BC, Cu, Pb, and Zn) were related with cardiovascular disease and cancer (e.g., "PPARs signaling"). CONCLUSIONS PM2.5 and PE were associated with methylation changes at multiple probes and along multiple pathways, in ways that varied by particle components.
Collapse
Affiliation(s)
- Cuicui Wang
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
| | - Andres Cardenas
- Division of Environmental Health Sciences, School of Public Health and Center for Computational Biology, University of California, Berkeley, Berkeley, CA 94720, USA
| | - John N Hutchinson
- Department of Biostatistics, 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
| | - 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
| | - Brent A Coull
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA
| | - Anna Kosheleva
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Petros Koutrakis
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Andrea A Baccarelli
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY 10032, USA
| | - Joel D Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| |
Collapse
|
5
|
Hvidtfeldt UA, Chen J, Andersen ZJ, Atkinson R, Bauwelinck M, Bellander T, Brandt J, Brunekreef B, Cesaroni G, Concin H, Fecht D, Forastiere F, van Gils CH, Gulliver J, Hertel O, Hoek G, Hoffmann B, de Hoogh K, Janssen N, Jørgensen JT, Katsouyanni K, Jöckel KH, Ketzel M, Klompmaker JO, Lang A, Leander K, Liu S, Ljungman PLS, Magnusson PKE, Mehta AJ, Nagel G, Oftedal B, Pershagen G, Peter RS, Peters A, Renzi M, Rizzuto D, Rodopoulou S, Samoli E, Schwarze PE, Severi G, Sigsgaard T, Stafoggia M, Strak M, Vienneau D, Weinmayr G, Wolf K, Raaschou-Nielsen O. Long-term exposure to fine particle elemental components and lung cancer incidence in the ELAPSE pooled cohort. ENVIRONMENTAL RESEARCH 2021; 193:110568. [PMID: 33278469 DOI: 10.1016/j.envres.2020.110568] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/20/2020] [Accepted: 11/29/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND An association between long-term exposure to fine particulate matter (PM2.5) and lung cancer has been established in previous studies. PM2.5 is a complex mixture of chemical components from various sources and little is known about whether certain components contribute specifically to the associated lung cancer risk. The present study builds on recent findings from the "Effects of Low-level Air Pollution: A Study in Europe" (ELAPSE) collaboration and addresses the potential association between specific elemental components of PM2.5 and lung cancer incidence. METHODS We pooled seven cohorts from across Europe and assigned exposure estimates for eight components of PM2.5 representing non-tail pipe emissions (copper (Cu), iron (Fe), and zinc (Zn)), long-range transport (sulfur (S)), oil burning/industry emissions (nickel (Ni), vanadium (V)), crustal material (silicon (Si)), and biomass burning (potassium (K)) to cohort participants' baseline residential address based on 100 m by 100 m grids from newly developed hybrid models combining air pollution monitoring, land use data, satellite observations, and dispersion model estimates. We applied stratified Cox proportional hazards models, adjusting for potential confounders (age, sex, calendar year, marital status, smoking, body mass index, employment status, and neighborhood-level socio-economic status). RESULTS The pooled study population comprised 306,550 individuals with 3916 incident lung cancer events during 5,541,672 person-years of follow-up. We observed a positive association between exposure to all eight components and lung cancer incidence, with adjusted HRs of 1.10 (95% CI 1.05, 1.16) per 50 ng/m3 PM2.5 K, 1.09 (95% CI 1.02, 1.15) per 1 ng/m3 PM2.5 Ni, 1.22 (95% CI 1.11, 1.35) per 200 ng/m3 PM2.5 S, and 1.07 (95% CI 1.02, 1.12) per 200 ng/m3 PM2.5 V. Effect estimates were largely unaffected by adjustment for nitrogen dioxide (NO2). After adjustment for PM2.5 mass, effect estimates of K, Ni, S, and V were slightly attenuated, whereas effect estimates of Cu, Si, Fe, and Zn became null or negative. CONCLUSIONS Our results point towards an increased risk of lung cancer in connection with sources of combustion particles from oil and biomass burning and secondary inorganic aerosols rather than non-exhaust traffic emissions. Specific limit values or guidelines targeting these specific PM2.5 components may prove helpful in future lung cancer prevention strategies.
Collapse
Affiliation(s)
| | - Jie Chen
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Zorana Jovanovic Andersen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Richard Atkinson
- Population Health Research Institute and MRC-PHE Centre for Environment and Health, St George's, University of London, London, UK.
| | - Mariska Bauwelinck
- Interface Demography - Department of Sociology, Vrije Universiteit Brussel, Pleinlaan 2, Brussels, 1050, Belgium.
| | - Tom Bellander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, Plan 10, Stockholm, SE-113 65, Sweden.
| | - Jørgen Brandt
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark; IClimate - Aarhus University Interdisciplinary Centre for Climate Change, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
| | - Bert Brunekreef
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Giulia Cesaroni
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Hans Concin
- Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria.
| | - Daniela Fecht
- UK Small Area Health Statistics Unit, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, W2 1PG, UK.
| | - Francesco Forastiere
- Institute for Biomedical Research and Innovation (IRIB), National Research Council, Palermo, 90146, Italy; Environmental Research Group, Imperial College, London, W12 0BZ, UK.
| | - Carla H van Gils
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, P.O. Box 85500, GA, Utrecht, 3508, the Netherlands.
| | - John Gulliver
- Centre for Environmental Health and Sustainability & School of Geography, Geology and the Environment, University of Leicester, Leicester, LE1 7RH, UK.
| | - Ole Hertel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
| | - Gerard Hoek
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands.
| | - Barbara Hoffmann
- Institute of Occupational, Social and Environmental Medicine, Medical Faculty, Heinrich Heine University, Gurlittstraße 55, Dusseldorf, 40223, Germany.
| | - Kees de Hoogh
- Swiss Tropical and Public Health Institute, Socinstrasse 57, Basel, 4051, Switzerland; University of Basel, Petersplatz 1, Postfach, Basel, 4001, Switzerland.
| | - Nicole Janssen
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Jeanette Therming Jørgensen
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Klea Katsouyanni
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece; NIHR HPRU Health Impact of Environmental Hazards, School of Public Health, Imperial College, London, UK.
| | - Karl-Heinz Jöckel
- Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany.
| | - Matthias Ketzel
- Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark; Global Centre for Clean Air Research (GCARE), University of Surrey, Guildford, United Kingdom.
| | - Jochem O Klompmaker
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands; Institute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University Duisburg-Essen, Essen, 45147, Germany.
| | - Alois Lang
- Cancer Registry Vorarlberg, Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria.
| | - Karin Leander
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden.
| | - Shuo Liu
- Section of Environmental Health, Department of Public Health, University of Copenhagen, Øster Farimagsgade 5, Copenhagen, 1014, Denmark.
| | - Petter L S Ljungman
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Department of Cardiology, Danderyd University Hospital, Stockholm, Sweden.
| | - Patrik K E Magnusson
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Box 281, SE-171 77 Stockholm, Sweden.
| | - Amar Jayant Mehta
- Statistics Denmark, Sejrøgade 11, 2100, Copenhagen, Denmark; Section of Epidemiology, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Øster Farimagsgade 5, 1014, Copenhagen, Denmark.
| | - Gabriele Nagel
- Agency for Preventive and Social Medicine, Rheinstraße 61, Bregenz, 6900, Austria; Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Bente Oftedal
- Section of Air Pollution and Noise, Norwegian Institute of Public Health, P.O. Box 222, Skøyen, N-0213, Oslo, Norway.
| | - Göran Pershagen
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Center for Occupational and Environmental Medicine, Region Stockholm, Solnavägen 4, Plan 10, Stockholm, SE-113 65, Sweden.
| | - Raphael Simon Peter
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany; Chair of Epidemiology, Ludwig Maximilians Universität München, Munich, Germany.
| | - Matteo Renzi
- Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Debora Rizzuto
- Aging Research Center, Department of Neurobiology, Care Sciences, and Society, Karolinska Institutet and Stockholm University, Stockholm, 17165, Sweden; Stockholm Gerontology Research Center, Stockholm, 11346, Sweden.
| | - Sophia Rodopoulou
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece.
| | - Evangelia Samoli
- Dept. of Hygiene, Epidemiology and Medical Statistics, National and Kapodistrian University of Athens, Medical School 75, Mikras Asias Street, Athens, 115 27, Greece.
| | - Per Everhard Schwarze
- Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway.
| | - Gianluca Severi
- CESP, UMR 1018, Université Paris-Saclay, Inserm, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications "G. Parenti" (DISIA), University of Florence, Italy.
| | - Torben Sigsgaard
- Department of Public Health, Environment Occupation and Health, Danish Ramazzini Centre, Aarhus University, Bartholins Allé 2, 8000, Aarhus, Denmark.
| | - Massimo Stafoggia
- Institute of Environmental Medicine, Karolinska Institutet, Box 210, Stockholm, SE-171 77, Sweden; Department of Epidemiology, Lazio Region Health Service / ASL Roma 1, Via Cristoforo Colombo 112, Rome, 00147, Italy.
| | - Maciej Strak
- Institute of Risk Assessment Sciences, University of Utrecht, P.O. Box 80177, Utrecht, NL 3508 TD, the Netherlands; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Danielle Vienneau
- University of Basel, Petersplatz 1, Postfach, Basel, 4001, Switzerland; National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands.
| | - Gudrun Weinmayr
- Institute of Epidemiology and Medical Biometry, Ulm University, Helmholtzstr. 22, 89081, Ulm, Germany.
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany.
| | - Ole Raaschou-Nielsen
- Danish Cancer Society Research Center, Strandboulevarden 49, Copenhagen, 2100, Denmark; Department of Environmental Science, Aarhus University, Frederiksborgvej 399, P.O.Box 358, Roskilde, 4000, Denmark.
| |
Collapse
|
6
|
Juarez PD, Hood DB, Song MA, Ramesh A. Use of an Exposome Approach to Understand the Effects of Exposures From the Natural, Built, and Social Environments on Cardio-Vascular Disease Onset, Progression, and Outcomes. Front Public Health 2020; 8:379. [PMID: 32903514 PMCID: PMC7437454 DOI: 10.3389/fpubh.2020.00379] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 06/30/2020] [Indexed: 12/17/2022] Open
Abstract
Obesity, diabetes, and hypertension have increased by epidemic proportions in recent years among African Americans in comparison to Whites resulting in significant adverse cardiovascular disease (CVD) disparities. Today, African Americans are 30% more likely to die of heart disease than Whites and twice as likely to have a stroke. The causes of these disparities are not yet well-understood. Improved methods for identifying underlying risk factors is a critical first step toward reducing Black:White CVD disparities. This article will focus on environmental exposures in the external environment and how they can lead to changes at the cellular, molecular, and organ level to increase the personal risk for CVD and lead to population level CVD racial disparities. The external environment is defined in three broad domains: natural (air, water, land), built (places you live, work, and play) and social (social, demographic, economic, and political). We will describe how environmental exposures in the natural, built, and social environments "get under the skin" to affect gene expression though epigenetic, pan-omics, and related mechanisms that lead to increased risk for adverse CVD health outcomes and population level disparities. We also will examine the important role of metabolomics, proteomics, transcriptomics, genomics, and epigenomics in understanding how exposures in the natural, built, and social environments lead to CVD disparities with implications for clinical, public health, and policy interventions. In this review, we apply an exposome approach to Black:White CVD racial disparities. The exposome is a measure of all the exposures of an individual across the life course and the relationship of those exposures to health effects. The exposome represents the totality of exogenous (external) and endogenous (internal) exposures from conception onwards, simultaneously distinguishing, characterizing, and quantifying etiologic, mediating, moderating, and co-occurring risk and protective factors and their relationship to disease. Specifically, it assesses the biological mechanisms and underlying pathways through which chemical and non-chemical environmental exposures are associated with CVD onset, progression and outcomes. The exposome is a promising approach for understanding the complex relationships among environment, behavior, biology, genetics, and disease phenotypes that underlie population level, Black: White CVD disparities.
Collapse
Affiliation(s)
- Paul D Juarez
- Meharry Medical College, Nashville, TN, United States
| | - Darryl B Hood
- College of Public Health, The Ohio State University, Columbus, OH, United States
| | - Min-Ae Song
- College of Public Health, The Ohio State University, Columbus, OH, United States
| | | |
Collapse
|
7
|
Pan B, Zhou Y, Li H, Li Y, Xue X, Li L, Liu Q, Zhao X, Niu Q. Relationship between occupational aluminium exposure and histone lysine modification through methylation. J Trace Elem Med Biol 2020; 61:126551. [PMID: 32470791 DOI: 10.1016/j.jtemb.2020.126551] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 04/26/2020] [Accepted: 05/11/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Aluminium is an environmental neurotoxin to which human beings are extensively exposed. However, the molecular mechanism of aluminium toxicity remains unclear. METHODS The changes in cognitive function of aluminum exposed workers under long-term occupational exposure were evaluated, and the relationship between cognitive changes, plasma memory related BDNF and EGR1 protein expression, and variations of epigenetic markers H3K4me3, H3K9me2, H3K27me3 expression levels in blood was explored. RESULTS MMSE, DSFT, DST scores in cognitive function and the levels of plasma BDNF and EGR1 protein expression decreased with the increase of blood aluminum level. H3K4me3, H3K9me2, H3K27me3 expression levels in peripheral blood lymphocytes of aluminum exposed workers were statistically different (all P<0.05). H3K4me3, H3K9me2 and H3K27me3 expression levels in lymphocytes were correlated with blood aluminum level. BDNF, EGR1 protein level and H3K4me3, H3K9me2, H3K27me3 expression levels have different degrees of correlation. There was a linear regression relationship between plasma BDNF, H3K4me3 and H3K9me2. H3K9me2 had a greater effect on BDNF than H3K4me3. There is a linear regression relationship between EGR1, H3K4me3 and H3K27me3, and the influence of H3K4me3 on EGR1 is greater than that of H3K27me3 on EGR1. CONCLUSION Alummnum may regulate the expression of BDNF and EGR1 by regulating H3K4me3, H3K27me3 and H3K9me2, and affect the cognitive function of workers by affecting the expression of BDNF and EGR1.
Collapse
Affiliation(s)
- Baolong Pan
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China; Sixth Hospital of Shanxi Medical University (General Hospital of Tisco), China
| | - Yue Zhou
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Huan Li
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China; Key Lab of Environmental Hazard and Health of Shanxi Province, Shanxi Medical University, China; Key Lab of Cellular Physiology of Education Ministry, Shanxi Medical University, China
| | - Yaqin Li
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Xingli Xue
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Liang Li
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Qun Liu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Xiaoyan Zhao
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China
| | - Qiao Niu
- Department of Occupational Health, School of Public Health, Shanxi Medical University, China; Key Lab of Environmental Hazard and Health of Shanxi Province, Shanxi Medical University, China; Key Lab of Cellular Physiology of Education Ministry, Shanxi Medical University, China.
| |
Collapse
|
8
|
Alfano R, Herceg Z, Nawrot TS, Chadeau-Hyam M, Ghantous A, Plusquin M. The Impact of Air Pollution on Our Epigenome: How Far Is the Evidence? (A Systematic Review). Curr Environ Health Rep 2018; 5:544-578. [PMID: 30361985 DOI: 10.1007/s40572-018-0218-8] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
PURPOSE OF REVIEW This systematic review evaluated existing evidence linking air pollution exposure in humans to major epigenetic mechanisms: DNA methylation, microRNAs, long noncoding RNAs, and chromatin regulation. RECENT FINDINGS Eighty-two manuscripts were eligible, most of which were observational (85%), conducted in adults (66%) and based on DNA methylation (79%). Most observational studies, except panel, demonstrated modest effects of air pollution on the methylome. Panel and experimental studies revealed a relatively large number of significant methylome alterations, though based on smaller sample sizes. Particulate matter levels were positively associated in several studies with global or LINE-1 hypomethylation, a hallmark of several diseases, and with decondensed chromatin structure. Several air pollution species altered the DNA methylation clock, inducing accelerated biological aging. The causal nature of identified associations is not clear, however, especially that most originate from countries with low air pollution levels. Existing evidence, gaps, and perspectives are highlighted herein.
Collapse
Affiliation(s)
- Rossella Alfano
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
| | - Zdenko Herceg
- Epigenetics Group, International Agency for Research on Cancer (IARC), 150 Cours Albert-Thomas, 69008, Lyon, France
| | - Tim S Nawrot
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
- Environment & Health Unit, Leuven University, Leuven, Belgium
| | - Marc Chadeau-Hyam
- Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, UK
| | - Akram Ghantous
- Epigenetics Group, International Agency for Research on Cancer (IARC), 150 Cours Albert-Thomas, 69008, Lyon, France.
| | - Michelle Plusquin
- Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium.
| |
Collapse
|
9
|
de Oliveira AAF, de Oliveira TF, Dias MF, Medeiros MHG, Di Mascio P, Veras M, Lemos M, Marcourakis T, Saldiva PHN, Loureiro APM. Genotoxic and epigenotoxic effects in mice exposed to concentrated ambient fine particulate matter (PM 2.5) from São Paulo city, Brazil. Part Fibre Toxicol 2018; 15:40. [PMID: 30340610 PMCID: PMC6194750 DOI: 10.1186/s12989-018-0276-y] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2018] [Accepted: 10/03/2018] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The Metropolitan Area of São Paulo has a unique composition of atmospheric pollutants, and positive correlations between exposure and the risk of diseases and mortality have been observed. Here we assessed the effects of ambient fine particulate matter (PM2.5) on genotoxic and global DNA methylation and hydroxymethylation changes, as well as the activities of antioxidant enzymes, in tissues of AJ mice exposed whole body to ambient air enriched in PM2.5, which was concentrated in a chamber near an avenue of intense traffic in São Paulo City, Brazil. RESULTS Mice exposed to concentrated ambient PM2.5 (1 h daily, 3 months) were compared to in situ ambient air exposed mice as the study control. The concentrated PM2.5 exposed group presented increased levels of the oxidized nucleoside 8-oxo-7,8-dihydro-2'-deoxyguanosine in lung and kidney DNA and increased levels of the etheno adducts 1,N6-etheno-2'-deoxyadenosine and 1,N2-etheno-2'-deoxyguanosine in kidney and liver DNA, respectively. Apart from the genotoxic effects, the exposure to PM2.5 led to decreased levels of the epigenetic mark 5-hydroxymethylcytosine (5-hmC) in lung and liver DNA. Changes in lung, liver, and erythrocyte antioxidant enzyme activities were also observed. Decreased glutathione reductase and increased superoxide dismutase (SOD) activities were observed in the lungs, while the liver presented increased glutathione S-transferase and decreased SOD activities. An increase in SOD activity was also observed in erythrocytes. These changes are consistent with the induction of local and systemic oxidative stress. CONCLUSIONS Mice exposed daily to PM2.5 at a concentration that mimics 24-h exposure to the mean concentration found in ambient air presented, after 3 months, increased levels of DNA lesions related to the occurrence of oxidative stress in the lungs, liver, and kidney, in parallel to decreased global levels of 5-hmC in lung and liver DNA. Genetic and epigenetic alterations induced by pollutants may affect the genes committed to cell cycle control, apoptosis, and cell differentiation, increasing the chance of cancer development, which merits further investigation.
Collapse
Affiliation(s)
- Antonio Anax Falcão de Oliveira
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes 580, Bloco 13 B, São Paulo, CEP 05508-000 Brazil
| | - Tiago Franco de Oliveira
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes 580, Bloco 13 B, São Paulo, CEP 05508-000 Brazil
- Present address: Departamento de Farmacociências, Universidade Federal de Ciências da Saúde de Porto Alegre, Rua Sarmento Leite 245, Porto Alegre, Rio Grande do Sul CEP 90050-170 Brazil
| | - Michelle Francini Dias
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes 580, Bloco 13 B, São Paulo, CEP 05508-000 Brazil
| | - Marisa Helena Gennari Medeiros
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, CEP 05508-000 Brazil
| | - Paolo Di Mascio
- Departamento de Bioquímica, Instituto de Química, Universidade de São Paulo, Av. Prof. Lineu Prestes 748, São Paulo, CEP 05508-000 Brazil
| | - Mariana Veras
- Laboratório de Poluição Atmosférica Experimental – LIM05, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Arnaldo 455, São Paulo, CEP 01246903 Brazil
| | - Miriam Lemos
- Laboratório de Poluição Atmosférica Experimental – LIM05, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Arnaldo 455, São Paulo, CEP 01246903 Brazil
| | - Tania Marcourakis
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes 580, Bloco 13 B, São Paulo, CEP 05508-000 Brazil
| | - Paulo Hilário Nascimento Saldiva
- Laboratório de Poluição Atmosférica Experimental – LIM05, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo, Av. Dr. Arnaldo 455, São Paulo, CEP 01246903 Brazil
- Instituto de Estudos Avançados, Universidade de São Paulo, R. do Anfiteatro, 513, São Paulo, CEP 05508060 Brazil
| | - Ana Paula Melo Loureiro
- Departamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, Av. Prof. Lineu Prestes 580, Bloco 13 B, São Paulo, CEP 05508-000 Brazil
| |
Collapse
|
10
|
Yang D, Yang X, Deng F, Guo X. Ambient Air Pollution and Biomarkers of Health Effect. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1017:59-102. [PMID: 29177959 DOI: 10.1007/978-981-10-5657-4_4] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Recently, the air pollution situation of our country is very serious along with the development of urbanization and industrialization. Studies indicate that the exposure of air pollution can cause a rise of incidence and mortality of many diseases, such as chronic obstructive pulmonary disease (COPD), asthma, myocardial infarction, and so on. However, there is now growing evidence showing that significant air pollution exposures are associated with early biomarkers in various systems of the body. In order to better prevent and control the damage effect of air pollution, this article summarizes comprehensively epidemiological studies about the bad effects on the biomarkers of respiratory system, cardiovascular system, and genetic and epigenetic system exposure to ambient air pollution.
Collapse
Affiliation(s)
- Di Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
| | - Xuan Yang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
| | - Furong Deng
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China.
| | - Xinbiao Guo
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, No. 38 Xueyuan Road, Beijing, China
| |
Collapse
|
11
|
Li R, Zhou R, Zhang J. Function of PM2.5 in the pathogenesis of lung cancer and chronic airway inflammatory diseases. Oncol Lett 2018; 15:7506-7514. [PMID: 29725457 DOI: 10.3892/ol.2018.8355] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2017] [Accepted: 02/28/2018] [Indexed: 12/14/2022] Open
Abstract
Previous research has identified that air pollution is associated with various respiratory diseases, but few studies have investigated the function served by particulate matter 2.5 (PM2.5) in these diseases. PM2.5 is known to cause epigenetic and microenvironmental alterations in lung cancer, including tumor-associated signaling pathway activation mediated by microRNA dysregulation, DNA methylation, and increased levels of cytokines and inflammatory cells. Autophagy and apoptosis of tumor cells may also be detected in lung cancer associated with PM2.5 exposure. A number of mechanisms are involved in triggering and aggravating asthma and COPD, including PM2.5-induced cytokine release and oxidative stress. The present review is an overview of the underlying molecular mechanisms of PM2.5-induced pathogenesis in lung cancer and chronic airway inflammatory diseases.
Collapse
Affiliation(s)
- Ruyi Li
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Rui Zhou
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, P.R. China
| | - Jiange Zhang
- Innovation Research Institute of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, P.R. China
| |
Collapse
|
12
|
de F C Lichtenfels AJ, van der Plaat DA, de Jong K, van Diemen CC, Postma DS, Nedeljkovic I, van Duijn CM, Amin N, la Bastide-van Gemert S, de Vries M, Ward-Caviness CK, Wolf K, Waldenberger M, Peters A, Stolk RP, Brunekreef B, Boezen HM, Vonk JM. Long-term Air Pollution Exposure, Genome-wide DNA Methylation and Lung Function in the LifeLines Cohort Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2018; 126:027004. [PMID: 29410382 PMCID: PMC6047358 DOI: 10.1289/ehp2045] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2017] [Revised: 12/13/2017] [Accepted: 12/13/2017] [Indexed: 05/17/2023]
Abstract
BACKGROUND Long-term air pollution exposure is negatively associated with lung function, yet the mechanisms underlying this association are not fully clear. Differential DNA methylation may explain this association. OBJECTIVES Our main aim was to study the association between long-term air pollution exposure and DNA methylation. METHODS We performed a genome-wide methylation study using robust linear regression models in 1,017 subjects from the LifeLines cohort study to analyze the association between exposure to nitrogen dioxide (NO2) and particulate matter (PM2.5, fine particulate matter with aerodynamic diameter ≤2.5 μm; PM10, particulate matter with aerodynamic diameter ≤10 μm) and PM2.5absorbance, indicator of elemental carbon content (estimated with land-use-regression models) with DNA methylation in whole blood (Illumina® HumanMethylation450K BeadChip). Replication of the top hits was attempted in two independent samples from the population-based Cooperative Health Research in the Region of Augsburg studies (KORA). RESULTS Depending on the p-value threshold used, we found significant associations between NO2 exposure and DNA methylation for seven CpG sites (Bonferroni corrected threshold p<1.19×10-7) or for 4,980 CpG sites (False Discovery Rate<0.05). The top associated CpG site was annotated to the PSMB9 gene (i.e., cg04908668). None of the seven Bonferroni significant CpG-sites were significantly replicated in the two KORA-cohorts. No associations were found for PM exposure. CONCLUSIONS Long-term NO2 exposure was genome-wide significantly associated with DNA methylation in the identification cohort but not in the replication cohort. Future studies are needed to further elucidate the potential mechanisms underlying NO2-exposure-related respiratory disease. https://doi.org/10.1289/EHP2045.
Collapse
Affiliation(s)
- Ana Julia de F C Lichtenfels
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Diana A van der Plaat
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Kim de Jong
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Cleo C van Diemen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Dirkje S Postma
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
- Department of Pulmonary Diseases, University of Groningen, University Medical Center Groningen, Groningen , Netherlands
| | - Ivana Nedeljkovic
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Najaf Amin
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands
| | - Sacha la Bastide-van Gemert
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Maaike de Vries
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Cavin K Ward-Caviness
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
- Environmental Public Health Division, U.S. Environmental Protection Agency , Chapel Hill, North Carolina, USA
| | - Kathrin Wolf
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
| | | | - Annette Peters
- Institute of Epidemiology II, Helmholtz Zentrum München , Neuherberg, Germany
| | - Ronald P Stolk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
| | - Bert Brunekreef
- Institute for Risk Assessment Sciences , Utrecht University, Utrecht, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht , Netherlands
| | - H Marike Boezen
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| | - Judith M Vonk
- Department of Epidemiology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands
- Groningen Research Institute for Asthma and COPD (GRIAC), University of Groningen, University Medical Center Groningen , Groningen, Netherlands
| |
Collapse
|
13
|
Martin EM, Fry RC. Environmental Influences on the Epigenome: Exposure- Associated DNA Methylation in Human Populations. Annu Rev Public Health 2018; 39:309-333. [PMID: 29328878 DOI: 10.1146/annurev-publhealth-040617-014629] [Citation(s) in RCA: 364] [Impact Index Per Article: 60.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
DNA methylation is the most well studied of the epigenetic regulators in relation to environmental exposures. To date, numerous studies have detailed the manner by which DNA methylation is influenced by the environment, resulting in altered global and gene-specific DNA methylation. These studies have focused on prenatal, early-life, and adult exposure scenarios. The present review summarizes currently available literature that demonstrates a relationship between DNA methylation and environmental exposures. It includes studies on aflatoxin B1, air pollution, arsenic, bisphenol A, cadmium, chromium, lead, mercury, polycyclic aromatic hydrocarbons, persistent organic pollutants, tobacco smoke, and nutritional factors. It also addresses gaps in the literature and future directions for research. These gaps include studies of mixtures, sexual dimorphisms with respect to environmentally associated methylation changes, tissue specificity, and temporal stability of the methylation marks.
Collapse
Affiliation(s)
- Elizabeth M Martin
- Department of Environmental Sciences and Engineering, and Curriculum in Toxicology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA; ,
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, and Curriculum in Toxicology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, North Carolina 27599, USA; ,
| |
Collapse
|
14
|
Yang IV, Lozupone CA, Schwartz DA. The environment, epigenome, and asthma. J Allergy Clin Immunol 2017; 140:14-23. [PMID: 28673400 DOI: 10.1016/j.jaci.2017.05.011] [Citation(s) in RCA: 99] [Impact Index Per Article: 14.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 05/10/2017] [Accepted: 05/12/2017] [Indexed: 12/21/2022]
Abstract
Asthma prevalence has been on the increase, especially in North America compared with other continents. However, the prevalence of asthma differs worldwide, and in many countries the prevalence is stable or decreasing. This highlights the influence of environmental exposures, such as allergens, air pollution, and the environmental microbiome, on disease etiology and pathogenesis. The epigenome might provide the unifying mechanism that translates the influence of environmental exposures to changes in gene expression, respiratory epithelial function, and immune cell skewing that are hallmarks of asthma. In this review we will introduce the concept of the environmental epigenome in asthmatic patients, summarize previous publications of relevance to this field, and discuss future directions.
Collapse
Affiliation(s)
- Ivana V Yang
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo; National Jewish Health, Denver, Colo; Department of Epidemiology, Colorado School of Public Health, University of Colorado, Aurora, Colo.
| | - Catherine A Lozupone
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo
| | - David A Schwartz
- Department of Medicine, University of Colorado, School of Medicine, Aurora, Colo; National Jewish Health, Denver, Colo; Department of Immunology, University of Colorado, Denver, Colo
| |
Collapse
|
15
|
Kresovich JK, Zhang Z, Fang F, Zheng Y, Sanchez-Guerra M, Joyce BT, Zhong J, Chervona Y, Wang S, Chang D, McCracken JP, Díaz A, Bonzini M, Carugno M, Koutrakis P, Kang CM, Bian S, Gao T, Byun HM, Schwartz J, Baccarelli AA, Hou L. Histone 3 modifications and blood pressure in the Beijing Truck Driver Air Pollution Study. Biomarkers 2017; 22:584-593. [PMID: 28678539 DOI: 10.1080/1354750x.2017.1347961] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
CONTEXT Histone modifications regulate gene expression; dysregulation has been linked with cardiovascular diseases. Associations between histone modification levels and blood pressure in humans are unclear. OBJECTIVE We examine the relationship between global histone concentrations and various markers of blood pressure. MATERIALS AND METHODS Using the Beijing Truck Driver Air Pollution Study, we investigated global peripheral white blood cell histone modifications (H3K9ac, H3K9me3, H3K27me3, and H3K36me3) associations with pre- and post-work measurements of systolic (SBP) and diastolic (DBP) blood pressure, mean arterial pressure (MAP), and pulse pressure (PP) using multivariable mixed-effect models. RESULTS H3K9ac was negatively associated with pre-work SBP and MAP; H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP; and H3K27me3 was negatively associated with pre-work SBP. Among office workers, H3K9me3 was negatively associated with pre-work SBP, DBP, and MAP. Among truck drivers, H3K9ac and H3K27me were negatively associated with pre-work SBP, and H3K27me3 was positively associated with post-work PP. DISCUSSION AND CONCLUSION Epigenome-wide H3K9ac, H3K9me3, and H3K27me3 were negatively associated with multiple pre-work blood pressure measures. These associations substantially changed during the day, suggesting an influence of daily activities. Blood-based histone modification biomarkers are potential candidates for studies requiring estimations of morning/pre-work blood pressure.
Collapse
Affiliation(s)
- Jacob K Kresovich
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA.,b Division of Epidemiology and Biostatistics, School of Public Health , University of Illinois-Chicago , Chicago , IL , USA
| | - Zhou Zhang
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA.,c Driskill Graduate Program in Life Sciences, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA
| | - Fang Fang
- d Department of Epidemiology, College for Public Health and Social Justice , Saint Louis University , Saint Louis , MO , USA
| | - Yinan Zheng
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA.,e Institute for Public Health and Medicine, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA
| | - Marco Sanchez-Guerra
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA.,g Department of Developmental Neurobiology , National Institute of Perinatology , Mexico City , Mexico
| | - Brian T Joyce
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA.,b Division of Epidemiology and Biostatistics, School of Public Health , University of Illinois-Chicago , Chicago , IL , USA
| | - Jia Zhong
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Yana Chervona
- h Department of Environmental Medicine , New York University School of Medicine , New York , NY , USA
| | - Sheng Wang
- i Department of Occupational and Environmental Health , Peking University Health Science Center, Peking University , Beijing , China
| | - Dou Chang
- j Department of Safety Engineering , China Institute of Industrial Relations , Beijing , China
| | - John P McCracken
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Anaite Díaz
- k Center for Health Studies , Universidad del Valle de Guatemala , Guatemala City , Guatemala
| | - Matteo Bonzini
- l Department of Clinical Sciences and Community Medicine , University of Milan and IRCCS Fondazione Ca' Granda OspedaleMaggiore Policlinico , Milan , Italy
| | - Michele Carugno
- l Department of Clinical Sciences and Community Medicine , University of Milan and IRCCS Fondazione Ca' Granda OspedaleMaggiore Policlinico , Milan , Italy
| | - Petros Koutrakis
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Choong-Min Kang
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Shurui Bian
- c Driskill Graduate Program in Life Sciences, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA
| | - Tao Gao
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA
| | - Hyang-Min Byun
- m Human Nutrition Research Centre, Institute of Cellular Medicine , Newcastle University , Newcastle upon Tyne , United Kingdom
| | - Joel Schwartz
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Andrea A Baccarelli
- f Department of Environmental Health, Harvard T.H. Chan School of Public Health , Harvard University , Boston , MA , USA
| | - Lifang Hou
- a Department of Preventive Medicine , Northwestern University Feinberg School of Medicine , Chicago , IL , USA.,n Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine , Northwestern University , Chicago , IL , USA
| |
Collapse
|
16
|
Yang Y, Yin W, Wu F, Fan J. Combination of azacitidine and trichostatin A decreased the tumorigenic potential of lung cancer cells. Onco Targets Ther 2017; 10:2993-2999. [PMID: 28652781 PMCID: PMC5476757 DOI: 10.2147/ott.s136218] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Purpose This study aims to investigate the possibility of using epigenetic inhibitors against lung cancer. Methods The changes in the proliferation of human lung cancer cells, NCI-H1975 and NCI-H1299 cells, treated with various doses of inhibitors of DNA methyltransferase (azacitidine [5-AZA]) or histone deacetylase inhibitors (trichostatin A [TSA]) were determined by cell counting. The cell viability of NCI-H1975 and NCI-H1299 cells treated with 5-AZA and/or TSA was measured by the MTT assay. The changes in expression of the AKT signaling pathway molecules caused by the application of 5-AZA and TSA were analyzed through their protein and mRNA levels. A xenograft model was used to observe the effects of 5-AZA and TSA on tumor growth in vivo. Results 5-AZA and TSA inhibited the proliferation and viability of NCI-H1975 and NCI-H1299 cells. Their joint application significantly influenced the expression of key molecules in AKT signaling pathway in vitro, and inhibited the growth of xenograft tumors in vivo. Furthermore, TSA and 5-AZA decreased the tumorigenic ability of NCI-H1975 cells in vivo. Conclusion The decreased cell viability and tumorigenic ability, as well as increased anti-oncogene expression following the joint application of 5-AZA and TSA, make these epigenetic inhibitors prospective therapeutic agents for lung cancer.
Collapse
Affiliation(s)
- Yang Yang
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Wei Yin
- Key Laboratory of Oral Biomedical Engineering of Ministry of Education, Hospital of Stomatology, School of Stomatology, Wuhan University, Wuhan, China
| | - Fengying Wu
- Oncology Department, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| | - Jiang Fan
- Department of Thoracic Surgery, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China
| |
Collapse
|
17
|
Peng C, Sanchez-Guerra M, Wilson A, Mehta AJ, Zhong J, Zanobetti A, Brennan K, Dereix AE, Coull BA, Vokonas P, Schwartz J, Baccarelli AA. Short-term effects of air temperature and mitochondrial DNA lesions within an older population. ENVIRONMENT INTERNATIONAL 2017; 103:23-29. [PMID: 28351767 PMCID: PMC5849241 DOI: 10.1016/j.envint.2017.03.017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 03/15/2017] [Accepted: 03/21/2017] [Indexed: 06/06/2023]
Abstract
BACKGROUND Previous studies have linked both extreme and sub-optimal air temperature to cardiopulmonary morbidity and mortality, especially in older individuals. However, the underlying mechanisms are yet to be determined. OBJECTIVES We hypothesized that short-term increases in air temperature may induce blood mitochondrial DNA (mtDNA) lesions in older individuals, which could contribute to temperature-related pathogenesis. METHODS We repeatedly measured mtDNA lesions in blood samples from 654 participants in the Normative Aging Study from 1999 to 2013 (1142 observations) by quantitative long-amplicon polymerase chain reaction assay. Hourly temperature data were obtained from the Boston Logan Airport weather station (located approximately 12km from the clinical site). We calculated 2-, 7-, and 14-day moving averages of 24-hour mean and 24-hour variability of temperature. We fit covariate-adjusted linear-mixed models accounting for repeated measures to evaluate the association between short-term increases in mean and variability of temperature with mtDNA lesions within each season. RESULTS Interquartile increases in 7- and 14-day moving averages of 24-hour mean temperature in summer were associated with a 0.17 (95% CI: 0.07, 0.27; p=0.0007) and 0.21 (95% CI: 0.10, 0.32; p=0.0001) increase in the number of mtDNA lesions per 10kb, respectively. Results were similar when we further adjusted for temperature variability. We also observed significant associations between increases in temperature variability and mtDNA lesions independent of mean air temperature. An interquartile range increase in the 7-day moving average of 24-hour standard deviation in summer was associated with a 0.19 (95% CI: 0.07, 0.31; p=0.0023) increase in the number of mtDNA lesions per 10kb. CONCLUSIONS Short-term exposure to higher mean air temperature was associated with increased mtDNA lesions in older adults, supporting the hypothesis that sub-optimal meteorological conditions may induce pathophysiological responses among susceptible populations.
Collapse
Affiliation(s)
- Cheng Peng
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Marco Sanchez-Guerra
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Developmental Neurobiology, National Institute of Perinatology, Mexico City, Mexico
| | - Ander Wilson
- Department of Statistics, Colorado State University, Fort Collin, CO, USA
| | - Amar J Mehta
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jia Zhong
- Department of Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Antonella Zanobetti
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kasey Brennan
- Department of Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Alexandra E Dereix
- Department of Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Brent A Coull
- Department of Biostatistics, Harvard School of Public Health, Boston, MA, USA
| | - Pantel Vokonas
- Normative Aging Study, Veterans Affairs Boston Healthcare System, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Laboratory, Harvard Medical School, Boston, MA, USA
| | - Andrea A Baccarelli
- Department of Environmental Health, Mailman School of Public Health, Columbia University, New York, NY, USA
| |
Collapse
|
18
|
Breton CV, Marsit CJ, Faustman E, Nadeau K, Goodrich JM, Dolinoy DC, Herbstman J, Holland N, LaSalle JM, Schmidt R, Yousefi P, Perera F, Joubert BR, Wiemels J, Taylor M, Yang IV, Chen R, Hew KM, Freeland DMH, Miller R, Murphy SK. Small-Magnitude Effect Sizes in Epigenetic End Points are Important in Children's Environmental Health Studies: The Children's Environmental Health and Disease Prevention Research Center's Epigenetics Working Group. ENVIRONMENTAL HEALTH PERSPECTIVES 2017; 125:511-526. [PMID: 28362264 PMCID: PMC5382002 DOI: 10.1289/ehp595] [Citation(s) in RCA: 196] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 08/24/2016] [Accepted: 09/27/2016] [Indexed: 05/15/2023]
Abstract
BACKGROUND Characterization of the epigenome is a primary interest for children's environmental health researchers studying the environmental influences on human populations, particularly those studying the role of pregnancy and early-life exposures on later-in-life health outcomes. OBJECTIVES Our objective was to consider the state of the science in environmental epigenetics research and to focus on DNA methylation and the collective observations of many studies being conducted within the Children's Environmental Health and Disease Prevention Research Centers, as they relate to the Developmental Origins of Health and Disease (DOHaD) hypothesis. METHODS We address the current laboratory and statistical tools available for epigenetic analyses, discuss methods for validation and interpretation of findings, particularly when magnitudes of effect are small, question the functional relevance of findings, and discuss the future for environmental epigenetics research. DISCUSSION A common finding in environmental epigenetic studies is the small-magnitude epigenetic effect sizes that result from such exposures. Although it is reasonable and necessary that we question the relevance of such small effects, we present examples in which small effects persist and have been replicated across populations and across time. We encourage a critical discourse on the interpretation of such small changes and further research on their functional relevance for children's health. CONCLUSION The dynamic nature of the epigenome will require an emphasis on future longitudinal studies in which the epigenome is profiled over time, over changing environmental exposures, and over generations to better understand the multiple ways in which the epigenome may respond to environmental stimuli.
Collapse
Affiliation(s)
| | | | | | - Kari Nadeau
- Stanford University, Palo Alto, California, USA
- University of California, Berkeley, Berkeley, California, USA
| | | | | | | | - Nina Holland
- University of California, Berkeley, Berkeley, California, USA
| | | | | | - Paul Yousefi
- University of California, Berkeley, Berkeley, California, USA
| | | | - Bonnie R. Joubert
- National Institute of Environmental Health Sciences (NIEHS), National Institutes of Health (NIH), Department of Health and Human Services (DHHS), Research Triangle Park, North Carolina
| | - Joseph Wiemels
- University of California at San Francisco, San Francisco, California, USA
| | | | - Ivana V. Yang
- University of Colorado, Denver, Colorado, USA
- National Jewish Health, Denver, Colorado, USA
| | - Rui Chen
- Stanford University, Palo Alto, California, USA
| | | | | | | | | |
Collapse
|
19
|
Blood pressure and expression of microRNAs in whole blood. PLoS One 2017; 12:e0173550. [PMID: 28278198 PMCID: PMC5344460 DOI: 10.1371/journal.pone.0173550] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Accepted: 02/23/2017] [Indexed: 12/21/2022] Open
Abstract
Background Blood pressure (BP) is a complex, multifactorial clinical outcome driven by genetic susceptibility, behavioral choices, and environmental factors. Many molecular mechanisms have been proposed for the pathophysiology of high BP even as its prevalence continues to grow worldwide, increasing morbidity and marking it as a major public health concern. To address this, we evaluated miRNA profiling in blood leukocytes as potential biomarkers of BP and BP-related risk factors. Methods The Beijing Truck Driver Air Pollution Study included 60 truck drivers and 60 office workers examined in 2008. On two days separated by 1–2 weeks, we examined three BP measures: systolic, diastolic, and mean arterial pressure measured at both pre- and post-work exams for blood NanoString nCounter miRNA profiles. We used covariate-adjusted linear mixed-effect models to examine associations between BP and increased miRNA expression in both pooled and risk factor-stratified analyses. Results Overall 43 miRNAs were associated with pre-work BP (FDR<0.05). In stratified analyses different but overlapping groups of miRNAs were associated with pre-work BP in truck drivers, high-BMI participants, and usual alcohol drinkers (FDR<0.05). Only four miRNAs were associated with post-work BP (FDR<0.05), in ever smokers. Conclusion Our results suggest that many miRNAs were significantly associated with BP in subgroups exposed to known hypertension risk factors. These findings shed light on the underlying molecular mechanisms of BP, and may assist with the development of a miRNA panel for early detection of hypertension.
Collapse
|
20
|
Yang L, Hou XY, Wei Y, Thai P, Chai F. Biomarkers of the health outcomes associated with ambient particulate matter exposure. THE SCIENCE OF THE TOTAL ENVIRONMENT 2017; 579:1446-1459. [PMID: 27908628 DOI: 10.1016/j.scitotenv.2016.11.146] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 11/18/2016] [Accepted: 11/21/2016] [Indexed: 05/22/2023]
Abstract
Epidemiologic evidence supports the positive association of cardiopulmonary morbidity and mortality, and lung cancer risk with exposure to airborne particulate matter (PM). Oxidative stress and inflammation have been proposed to be the major causal factors involved in mediating PM effects on both cardiovascular and pulmonary health outcomes. However, the mechanism whereby PM causes the health effects is not fully elucidated. To evaluate and investigate human exposure to PM, it is essential to have a specific, sensitive and robust characterization of individual exposure to PM. Biomarkers may mark important intermediate steps leading to overt health effects after PM exposure. Thus biomarkers are promising indicators, which could serve as representative measures of the exposure to PM for assessing the health impacts and understanding the mechanism. Indeed, a number of biomarkers are already in use in the field of epidemiological studies and toxicological research. However, we are facing now the challenges to select robust, specific and sensitive biomarkers, which can be employed in large-scale of population to assess the health risk and to monitor the effectiveness of interventions. In this review, we describe a range of biomarkers that are associated with air pollution exposure, particularly markers of oxidative stress, inflammatory factors, and microRNAs, as well as markers of pollutants metabolites. Understanding the nature of the association of these biomarkers with PM exposure may shed some light on the process of selecting biomarkers for large-scale population studies, developing novel preventative and therapeutic strategies.
Collapse
Affiliation(s)
- Lixin Yang
- Department of Environmental Pollution and Health, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012 Beijing, China.
| | - Xiang-Yu Hou
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Yongjie Wei
- Department of Environmental Pollution and Health, State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, 100012 Beijing, China
| | - Phong Thai
- International Laboratory for Air Quality and Health, Queensland University of Technology, Brisbane, QLD 4001, Australia
| | - Fahe Chai
- Chinese Research Academy of Environmental Sciences, 100012 Beijing, China.
| |
Collapse
|
21
|
Miousse IR, Koturbash I, Chalbot MC, Hauer-Jensen M, Kavouras I, Pathak R. Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System. J Vis Exp 2016. [PMID: 28060322 DOI: 10.3791/54969] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Exposure to particulate matter (PM) is a major world health concern, which may damage various cellular components, including the nuclear genetic material. To assess the impact of PM on nuclear genetic integrity, structural chromosomal aberrations are scored in the metaphase spreads of mouse RAW264.7 macrophage cells. PM is collected from ambient air with a high volume total suspended particles sampler. The collected material is solubilized and filtered to retain the water-soluble, fine portion. The particles are characterized for chemical composition by nuclear magnetic resonance (NMR) spectroscopy. Different concentrations of particle suspension are added onto an in vitro culture of RAW264.7 mouse macrophages for a total exposure time of 72 hr, along with untreated control cells. At the end of exposure, the culture is treated with colcemid to arrest cells in metaphase. Cells are then harvested, treated with hypotonic solution, fixed in acetomethanol, dropped onto glass slides and finally stained with Giemsa solution. Slides are examined to assess the structural chromosomal aberrations (CAs) in metaphase spreads at 1,000X magnification using a bright-field microscope. 50 to 100 metaphase spread are scored for each treatment group. This technique is adapted for the detection of structural chromosomal aberrations (CAs), such as chromatid-type breaks, chromatid-type exchanges, acentric fragments, dicentric and ring chromosomes, double minutes, endoreduplication, and Robertsonian translocations in vitro after exposure to PM. It is a powerful method to associate a well-established cytogenetic endpoint to epigenetic alterations.
Collapse
Affiliation(s)
- Isabelle R Miousse
- Department of Occupational and Environmental Health, University of Arkansas for Medical Sciences;
| | - Igor Koturbash
- Department of Occupational and Environmental Health, University of Arkansas for Medical Sciences;
| | - Marie-Cécile Chalbot
- Department of Environmental Health Sciences, University of Alabama at Birmingham
| | | | - Ilias Kavouras
- Department of Environmental Health Sciences, University of Alabama at Birmingham
| | - Rupak Pathak
- Division of Radiation Health, University of Arkansas for Medical Sciences
| |
Collapse
|
22
|
Peng C, Bind MAC, Colicino E, Kloog I, Byun HM, Cantone L, Trevisi L, Zhong J, Brennan K, Dereix AE, Vokonas PS, Coull BA, Schwartz JD, Baccarelli AA. Particulate Air Pollution and Fasting Blood Glucose in Nondiabetic Individuals: Associations and Epigenetic Mediation in the Normative Aging Study, 2000-2011. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:1715-1721. [PMID: 27219535 PMCID: PMC5089881 DOI: 10.1289/ehp183] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2015] [Revised: 02/09/2016] [Accepted: 05/09/2016] [Indexed: 05/05/2023]
Abstract
BACKGROUND Among nondiabetic individuals, higher fasting blood glucose (FBG) independently predicts diabetes risk, cardiovascular disease, and dementia. Ambient PM2.5 (particulate matter with aerodynamic diameter ≤ 2.5 μm) is an emerging determinant of glucose dysregulation. PM2.5 effects and mechanisms are understudied among nondiabetic individuals. OBJECTIVES Our goals were to investigate whether PM2.5 is associated with an increase in FBG and to explore potential mediating roles of epigenetic gene regulation. METHODS In 551 nondiabetic participants in the Normative Aging Study, we measured FBG, and DNA methylation of four inflammatory genes (IFN-γ, IL-6, ICAM-1, and TLR-2), up to four times between 2000 and 2011 (median = 2). We estimated short- and medium-term (1-, 7-, and 28-day preceding each clinical visit) ambient PM2.5 at each participant's address using a validated hybrid land-use regression satellite-based model. We fitted covariate-adjusted regression models accounting for repeated measures. RESULTS Mean FBG was 99.8 mg/dL (SD = 10.7), 18% of the participants had impaired fasting glucose (IFG; i.e., 100-125 mg/dL FBG) at first visit. Interquartile increases in 1-, 7-, and 28-day PM2.5 were associated with 0.57 mg/dL (95% CI: 0.02, 1.11, p = 0.04), 1.02 mg/dL (95% CI: 0.41, 1.63, p = 0.001), and 0.89 mg/dL (95% CI: 0.32, 1.47, p = 0.003) higher FBG, respectively. The same PM2.5 metrics were associated with 13% (95% CI: -3%, 33%, p = 0.12), 27% (95% CI: 6%, 52%, p = 0.01) and 32% (95% CI: 10%, 58%, p = 0.003) higher odds of IFG, respectively. PM2.5 was negatively correlated with ICAM-1 methylation (p = 0.01), but not with other genes. Mediation analysis estimated that ICAM-1 methylation mediated 9% of the association of 28-day PM2.5 with FBG. CONCLUSIONS Among nondiabetics, short- and medium-term PM2.5 were associated with higher FBG. Mediation analysis indicated that part of this association was mediated by ICAM-1 promoter methylation. Citation: Peng C, Bind MA, Colicino E, Kloog I, Byun HM, Cantone L, Trevisi L, Zhong J, Brennan K, Dereix AE, Vokonas PS, Coull BA, Schwartz JD, Baccarelli AA. 2016. Particulate air pollution and fasting blood glucose in nondiabetic individuals: associations and epigenetic mediation in the Normative Aging Study, 2000-2011. Environ Health Perspect 124:1715-1721; http://dx.doi.org/10.1289/EHP183.
Collapse
Affiliation(s)
- Cheng Peng
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Address correspondence to C. Peng, Department of Environmental Health, Harvard T.H. Chan School of Public Health, Building 1, G-7, 665 Huntington Ave., Boston, MA 02115 USA. E-mail:
| | | | - Elena Colicino
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Itai Kloog
- Department of Geography and Environmental Development, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Hyang-Min Byun
- Human Nutrition Research Center, Institute of Cellular Medicine, Newcastle University, Newcastle, United Kingdom
| | - Laura Cantone
- Molecular Epidemiology and Environmental Epigenetics Laboratory, Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Letizia Trevisi
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jia Zhong
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Kasey Brennan
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Alexandra E. Dereix
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Pantel S. Vokonas
- VA Normative Aging Study, Veterans Affairs Boston Healthcare System, Boston, Massachusetts, USA
- Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
| | - Brent A. Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Laboratory, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrea A. Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
23
|
The Impact of External Factors on the Epigenome: In Utero and over Lifetime. BIOMED RESEARCH INTERNATIONAL 2016; 2016:2568635. [PMID: 27294112 PMCID: PMC4887632 DOI: 10.1155/2016/2568635] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/19/2016] [Revised: 04/12/2016] [Accepted: 04/26/2016] [Indexed: 01/07/2023]
Abstract
Epigenetic marks change during fetal development, adult life, and aging. Some changes play an important role in the establishment and regulation of gene programs, but others seem to occur without any apparent physiological role. An important future challenge in the field of epigenetics will be to describe how the environment affects both of these types of epigenetic change and to learn if interaction between them can determine healthy and disease phenotypes during lifetime. Here we discuss how chemical and physical environmental stressors, diet, life habits, and pharmacological treatments can affect the epigenome during lifetime and the possible impact of these epigenetic changes on pathophysiological processes.
Collapse
|
24
|
Krall JR, Chang HH, Sarnat SE, Peng RD, Waller LA. Current Methods and Challenges for Epidemiological Studies of the Associations Between Chemical Constituents of Particulate Matter and Health. Curr Environ Health Rep 2016; 2:388-98. [PMID: 26386975 DOI: 10.1007/s40572-015-0071-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Epidemiological studies have been critical for estimating associations between exposure to ambient particulate matter (PM) air pollution and adverse health outcomes. Because total PM mass is a temporally and spatially varying mixture of constituents with different physical and chemical properties, recent epidemiological studies have focused on PM constituents. Most studies have estimated associations between PM constituents and health using the same statistical methods as in studies of PM mass. However, these approaches may not be sufficient to address challenges specific to studies of PM constituents, namely assigning exposure, disentangling health effects, and handling measurement error. We reviewed large, population-based epidemiological studies of PM constituents and health and describe the statistical methods typically applied to address these challenges. Development of statistical methods that simultaneously address multiple challenges, for example, both disentangling health effects and handling measurement error, could improve estimation of associations between PM constituents and adverse health outcomes.
Collapse
Affiliation(s)
- Jenna R Krall
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Howard H Chang
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Stefanie Ebelt Sarnat
- Department of Environmental Health, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| | - Roger D Peng
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD, 21205, USA.
| | - Lance A Waller
- Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
| |
Collapse
|
25
|
Sanchez-Guerra M, Zheng Y, Osorio-Yanez C, Zhong J, Chervona Y, Wang S, Chang D, McCracken JP, Díaz A, Bertazzi PA, Koutrakis P, Kang CM, Zhang X, Zhang W, Byun HM, Schwartz J, Hou L, Baccarelli AA. Effects of particulate matter exposure on blood 5-hydroxymethylation: results from the Beijing truck driver air pollution study. Epigenetics 2016; 10:633-42. [PMID: 25970091 PMCID: PMC4623004 DOI: 10.1080/15592294.2015.1050174] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
Previous studies have reported epigenetic changes induced by environmental exposures. However, previous investigations did not distinguish 5-methylcytosine (5mC) from a similar oxidative form with opposite functions, 5-hydroxymethylcytosine (5hmC). Here, we measured blood DNA global 5mC and 5hmC by ELISA and used adjusted mixed-effects regression models to evaluate the effects of ambient PM10 and personal PM2.5 and its elemental components—black carbon (BC), aluminum (Al), calcium (Ca), potassium (K), iron (Fe), sulfur (S), silicon (Si), titanium (Ti), and zinc (Zn)—on blood global 5mC and 5hmC levels. The study was conducted in 60 truck drivers and 60 office workers in Beijing, China from The Beijing Truck Driver Air Pollution Study at 2 exams separated by one to 2 weeks. Blood 5hmC level (0.08%) was ∼83-fold lower than 5mC (6.61%). An inter-quartile range (IQR) increase in same-day PM10 was associated with increases in 5hmC of 26.1% in office workers (P = 0.004), 20.2% in truck drivers (P = 0.014), and 21.9% in all participants combined (P < 0.001). PM10 effects on 5hmC were increasingly stronger when averaged over 4, 7, and 14 d preceding assessment (up to 132.6% for the 14-d average in all participants, P < 0.001). PM10 effects were also significant after controlling for multiple testing (family-wise error rate; FWER < 0.05). 5hmC was not correlated with personal measures of PM2.5 and elemental components (FWER > 0.05). 5mC showed no correlations with PM10, PM2.5, and elemental components measures (FWER > 0.05). Our study suggests that exposure to ambient PM10 affects 5hmC over time, but not 5mC. This finding demonstrates the need to differentiate 5hmC and 5mC in environmental studies of DNA methylation.
Collapse
Key Words
- 10 μm
- 2.5 μm
- 5-hydroxymethylcytosine
- 5-methylcytosine
- 5hmC, 5-hydroxymethylcytosine
- 5mC, 5-methylcytosine
- Al, aluminum
- BC, black carbon
- BMI, body mass index
- CI, confidence interval
- Ca, calcium
- DNA methylation
- ELISA, enzyme-linked immunosorbent assay
- Epigenetics
- FWER, family-wise error rate
- Fe, iron
- HPLC, high-performance liquid chromatography
- K, potassium
- PM, particulate matter
- PM10, particulate matter ≤
- PM2.5, particulate matter ≤
- Particulate Matter
- S, sulfur
- Si: silicon
- TET, ten-eleven translocation enzymes
- Ti, titanium and Zn: zinc.
Collapse
Affiliation(s)
- Marco Sanchez-Guerra
- a Department of Environmental Health; Harvard T.H. Chan School of Public Health ; Boston , MA , USA
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
26
|
Hou L, Barupal J, Zhang W, Zheng Y, Liu L, Zhang X, Dou C, McCracken JP, Díaz A, Motta V, Sanchez-Guerra M, Wolf KR, Bertazzi PA, Schwartz JD, Wang S, Baccarelli AA. Particulate Air Pollution Exposure and Expression of Viral and Human MicroRNAs in Blood: The Beijing Truck Driver Air Pollution Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2016; 124:344-50. [PMID: 26068961 PMCID: PMC4786978 DOI: 10.1289/ehp.1408519] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2014] [Accepted: 06/10/2015] [Indexed: 05/04/2023]
Abstract
BACKGROUND MicroRNAs (miRNAs) are post-transcriptional gene suppressors and potential mediators of environmental effects. In addition to human miRNAs, viral miRNAs expressed from latent viral sequences are detectable in human cells. OBJECTIVE In a highly exposed population in Beijing, China, we evaluated the associations of particulate air pollution exposure on blood miRNA profiles. METHODS The Beijing Truck Driver Air Pollution Study (BTDAS) included 60 truck drivers and 60 office workers. We investigated associations of short-term air pollution exposure, using measures of personal PM2.5 (particulate matter ≤ 2.5 μm) and elemental carbon (EC), and ambient PM10 (≤ 10 μm), with blood NanoString nCounter miRNA profiles at two exams separated by 1-2 weeks. RESULTS No miRNA was significantly associated with personal PM2.5 at a false discovery rate (FDR) of 20%. Short-term ambient PM10 was associated with the expression of 12 miRNAs in office workers only (FDR < 20%). Short-term EC was associated with differential expression of 46 human and 7 viral miRNAs, the latter including 3 and 4 viral miRNAs in office workers and truck drivers, respectively. EC-associated miRNAs differed between office workers and truck drivers with significant effect modification by occupational group. Functional interaction network analysis suggested enriched cellular proliferation/differentiation pathways in truck drivers and proinflammation pathways in office workers. CONCLUSIONS Short-term EC exposure was associated with the expression of human and viral miRNAs that may influence immune responses and other biological pathways. Associations between EC exposure and viral miRNA expression suggest that latent viral miRNAs are potential mediators of air pollution-associated health effects. PM2.5/PM10 exposures showed no consistent relationships with miRNA expression.
Collapse
Affiliation(s)
- Lifang Hou
- Department of Preventive Medicine, and
- Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Address correspondence to L. Hou, Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 680 North Lake Shore Dr., Suite 1400, Chicago, Illinois 60611 USA. Telephone: (312) 503-4798. E-mail:
| | - Jitendra Barupal
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Bioinformatics Infrastructure Facility, University of Rajasthan, Jaipur and Barupal Research Foundation, Jaisalmer, India
| | - Wei Zhang
- Department of Pediatrics, University of Illinois, Chicago, Illinois, USA
| | - Yinan Zheng
- Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Lei Liu
- Department of Preventive Medicine, and
| | | | - Chang Dou
- Department of Safety Engineering, China Institute of Industrial Health, Beijing, China
| | - John P. McCracken
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Anaité Díaz
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Valeria Motta
- Center of Molecular and Genetic Epidemiology, Department of Environmental and Occupational Health, University of Milan and IRCCS Maggiore Policlinico Hospital, Mangiagalli and Regina Elena Foundation, Milan, Italy
| | - Marco Sanchez-Guerra
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | | | - Pier Alberto Bertazzi
- Center of Molecular and Genetic Epidemiology, Department of Environmental and Occupational Health, University of Milan and IRCCS Maggiore Policlinico Hospital, Mangiagalli and Regina Elena Foundation, Milan, Italy
| | - Joel D. Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Sheng Wang
- Department of Occupational and Environmental Health, Peking University Health Science Center, Beijing, China
| | - Andrea A. Baccarelli
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
27
|
Miousse IR, Chalbot MCG, Pathak R, Lu X, Nzabarushimana E, Krager K, Aykin-Burns N, Hauer-Jensen M, Demokritou P, Kavouras IG, Koturbash I. In Vitro Toxicity and Epigenotoxicity of Different Types of Ambient Particulate Matter. Toxicol Sci 2015; 148:473-87. [PMID: 26342214 PMCID: PMC5009441 DOI: 10.1093/toxsci/kfv200] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
Exposure to ambient particulate matter (PM) has been associated with adverse health effects, including pulmonary and cardiovascular disease. Studies indicate that ambient PM originated from different sources may cause distinct biological effects. In this study, we sought to investigate the potential of various types of PM to cause epigenetic alterations in the in vitro system. RAW264.7 murine macrophages were exposed for 24 and 72 h to 5- and 50-μg/ml doses of the water soluble extract of 6 types of PM: soil dust, road dust, agricultural dust, traffic exhausts, biomass burning, and pollen, collected in January-April of 2014 in the area of Little Rock, Arkansas. Cytotoxicity, oxidative potential, epigenetic endpoints, and chromosomal aberrations were addressed. Exposure to 6 types of PM resulted in induction of cytotoxicity and oxidative stress in a type-, time-, and dose-dependent manner. Epigenetic alterations were characterized by type-, time-, and dose-dependent decreases of DNA methylation/demethylation machinery, increased DNA methyltransferases enzymatic activity and protein levels, and transcriptional activation and subsequent silencing of transposable elements LINE-1, SINE B1/B2. The most pronounced changes were observed after exposure to soil dust that were also characterized by hypomethylation and reactivation of satellite DNA and structural chromosomal aberrations in the exposed cells. The results of our study indicate that the water-soluble fractions of the various types of PM have differential potential to target the cellular epigenome.
Collapse
Affiliation(s)
- Isabelle R Miousse
- *Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health and
| | - Marie-Cecile G Chalbot
- *Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health and
| | - Rupak Pathak
- Division of Radiation Health, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205
| | - Xiaoyan Lu
- Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts; and
| | - Etienne Nzabarushimana
- *Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health and Department of Biology, Indiana University, Bloomington, Indiana 47405
| | - Kimberly Krager
- Division of Radiation Health, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205
| | - Nukhet Aykin-Burns
- Division of Radiation Health, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205
| | - Martin Hauer-Jensen
- Division of Radiation Health, Department of Pharmaceutical Sciences, College of Pharmacy, University of Arkansas for Medical Sciences, Little Rock, Arkansas 72205
| | - Philip Demokritou
- Center for Nanotechnology and Nanotoxicology, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts; and
| | - Ilias G Kavouras
- *Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health and
| | - Igor Koturbash
- *Department of Environmental and Occupational Health, Fay W. Boozman College of Public Health and
| |
Collapse
|
28
|
Environmental pollution and DNA methylation: carcinogenesis, clinical significance, and practical applications. Front Med 2015; 9:261-74. [PMID: 26290283 DOI: 10.1007/s11684-015-0406-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2015] [Accepted: 05/12/2015] [Indexed: 01/25/2023]
Abstract
Environmental pollution is one of the main causes of human cancer. Exposures to environmental carcinogens result in genetic and epigenetic alterations which induce cell transformation. Epigenetic changes caused by environmental pollution play important roles in the development and progression of environmental pollution-related cancers. Studies on DNA methylation are among the earliest and most conducted epigenetic research linked to cancer. In this review, the roles of DNA methylation in carcinogenesis and their significance in clinical medicine were summarized, and the effects of environmental pollutants, particularly air pollutants, on DNA methylation were introduced. Furthermore, prospective applications of DNA methylation to environmental pollution detection and cancer prevention were discussed.
Collapse
|
29
|
Environmental Impact on DNA Methylation in the Germline: State of the Art and Gaps of Knowledge. BIOMED RESEARCH INTERNATIONAL 2015; 2015:123484. [PMID: 26339587 PMCID: PMC4538313 DOI: 10.1155/2015/123484] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 01/14/2015] [Accepted: 05/03/2015] [Indexed: 12/19/2022]
Abstract
The epigenome consists of chemical changes in DNA and chromatin that without modifying the DNA sequence modulate gene expression and cellular phenotype. The epigenome is highly plastic and reacts to changing external conditions with modifications that can be inherited to daughter cells and across generations. Whereas this innate plasticity allows for adaptation to a changing environment, it also implies the potential of epigenetic derailment leading to so-called epimutations. DNA methylation is the most studied epigenetic mark. DNA methylation changes have been associated with cancer, infertility, cardiovascular, respiratory, metabolic, immunologic, and neurodegenerative pathologies. Experiments in rodents demonstrate that exposure to a variety of chemical stressors, occurring during the prenatal or the adult life, may induce DNA methylation changes in germ cells, which may be transmitted across generations with phenotypic consequences. An increasing number of human biomonitoring studies show environmentally related DNA methylation changes mainly in blood leukocytes, whereas very few data have been so far collected on possible epigenetic changes induced in the germline, even by the analysis of easily accessible sperm. In this paper, we review the state of the art on factors impinging on DNA methylation in the germline, highlight gaps of knowledge, and propose priorities for future studies.
Collapse
|
30
|
Chung Y, Dominici F, Wang Y, Coull BA, Bell ML. Associations between long-term exposure to chemical constituents of fine particulate matter (PM2.5) and mortality in Medicare enrollees in the eastern United States. ENVIRONMENTAL HEALTH PERSPECTIVES 2015; 123:467-74. [PMID: 25565179 PMCID: PMC4421760 DOI: 10.1289/ehp.1307549] [Citation(s) in RCA: 82] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2013] [Accepted: 12/29/2014] [Indexed: 05/05/2023]
Abstract
BACKGROUND Several epidemiological studies have reported that long-term exposure to fine particulate matter (PM2.5) is associated with higher mortality. Evidence regarding contributions of PM2.5 constituents is inconclusive. OBJECTIVES We assembled a data set of 12.5 million Medicare enrollees (≥ 65 years of age) to determine which PM2.5 constituents are a) associated with mortality controlling for previous-year PM2.5 total mass (main effect); and b) elevated in locations exhibiting stronger associations between previous-year PM2.5 and mortality (effect modification). METHODS For 518 PM2.5 monitoring locations (eastern United States, 2000-2006), we calculated monthly mortality rates, monthly long-term (previous 1-year average) PM2.5, and 7-year averages (2000-2006) of major PM2.5 constituents [elemental carbon (EC), organic carbon matter (OCM), sulfate (SO42-), silicon (Si), nitrate (NO3-), and sodium (Na)] and community-level variables. We applied a Bayesian hierarchical model to estimate location-specific mortality rates associated with previous-year PM2.5 (model level 1) and identify constituents that contributed to the spatial variability of mortality, and constituents that modified associations between previous-year PM2.5 and mortality (model level 2), controlling for community-level confounders. RESULTS One-standard deviation (SD) increases in 7-year average EC, Si, and NO3- concentrations were associated with 1.3% [95% posterior interval (PI): 0.3, 2.2], 1.4% (95% PI: 0.6, 2.4), and 1.2% (95% PI: 0.4, 2.1) increases in monthly mortality, controlling for previous-year PM2.5. Associations between previous-year PM2.5 and mortality were stronger in combination with 1-SD increases in SO42- and Na. CONCLUSIONS Long-term exposures to PM2.5 and several constituents were associated with mortality in the elderly population of the eastern United States. Moreover, some constituents increased the association between long-term exposure to PM2.5 and mortality. These results provide new evidence that chemical composition can partly explain the differential toxicity of PM2.5.
Collapse
Affiliation(s)
- Yeonseung Chung
- Department of Mathematical Sciences, Korea Advanced Institute of Science and Technology, Daejeon, South Korea
| | | | | | | | | |
Collapse
|
31
|
Lappé M, Landecker H. How The Genome Got a Life Span. NEW GENETICS AND SOCIETY 2015; 34:152-176. [PMID: 26213491 PMCID: PMC4512745 DOI: 10.1080/14636778.2015.1034851] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Accepted: 03/03/2015] [Indexed: 05/15/2023]
Abstract
In the space of little more than a decade, ideas of the human genome have shifted significantly, with the emergence of the notion that the genome an individual changes with development, age, disease, environmental inputs, and time. This paper examines the emergence of the genome with a life span, one that experiences drift, instability and mutability, and a host of other temporal changes. We argue that developments in chromatin biology have provided the basis for this genomic embodiment of experience and exposure. We analyze how time has come to matter for the genome through chromatin, providing analysis of examples in which the human life course is being explored as a set of material changes to chromatin. A genome with a lifespan aligns the molecular and the experiential in new ways, shifting ideas of life stages, their interrelation, and the temporality of health and disease.
Collapse
Affiliation(s)
- Martine Lappé
- Columbia University Center for Research on Ethical, Legal, and Social Implications of Psychiatric, Neurologic, & Behavioral Genetics, 1051 Riverside Drive New York, NY 10032
| | - Hannah Landecker
- Institute for Society and Genetics And the Department of Sociology, University of California Los Angeles, Box 957221, 1320 Rolfe Hall, Los Angeles, CA 90095-7221 Telephone: 310-825-1517
| |
Collapse
|
32
|
Jiang R, Jones MJ, Sava F, Kobor MS, Carlsten C. Short-term diesel exhaust inhalation in a controlled human crossover study is associated with changes in DNA methylation of circulating mononuclear cells in asthmatics. Part Fibre Toxicol 2014; 11:71. [PMID: 25487561 PMCID: PMC4268899 DOI: 10.1186/s12989-014-0071-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2014] [Accepted: 11/24/2014] [Indexed: 11/10/2022] Open
Abstract
Background Changes in DNA methylation have been associated with traffic-related air pollution in observational studies, but the specific mechanisms and temporal dynamics therein have not been explored in a controlled study of asthmatics. In this study, we investigate short-term effects of diesel exhaust inhalation on DNA methylation levels at CpG sites across the genome in circulating blood in asthmatics. Methods A double-blind crossover study of filtered air and diesel exhaust exposures was performed on sixteen non-smoking asthmatic subjects. Blood samples were collected pre-exposure, and then 6 and 30 hours post-exposure. Peripheral blood mononuclear cell DNA methylation was interrogated using the Illumina Infinium HumanMethylation450 Array. Exposure-related changes in DNA methylation were identified. In addition, CpG sites overlapping with Alu or LINE1 repetitive elements and candidate microRNA loci were also analyzed. Results DNA methylation at 2827 CpG sites were affected by exposure to diesel exhaust but not filtered air; these sites enriched for genes involved in protein kinase and NFkB pathways. CpG sites with significant changes in response to diesel exhaust exposure primarily became less methylated, with a site residing within GSTP1 being among the significant hits. Diesel exhaust-associated change was also found for CpG sites overlapping with Alu and LINE1 elements as well as for a site within miR-21. Conclusion Short-term exposure to diesel exhaust resulted in DNA methylation changes at CpG sites residing in genes involved in inflammation and oxidative stress response, repetitive elements, and microRNA. This provides plausibility for the role of DNA methylation in pathways by which airborne particulate matter impacts gene expression and offers support for including DNA methylation analysis in future efforts to understand the interactions between environmental exposures and biological systems. Electronic supplementary material The online version of this article (doi:10.1186/s12989-014-0071-3) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Ruiwei Jiang
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, 950 west 28th Avenue, Vancouver, V5Z4H4, Canada.
| | - Meaghan J Jones
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, 950 west 28th Avenue, Vancouver, V5Z4H4, Canada.
| | - Francesco Sava
- Air Pollution Exposure Laboratory, Chan-Yeung Centre for Occupational and Environmental Lung Disease, Department of Medicine, Division of Respiratory Medicine, University of British Columbia, 2775 Laurel Street, Vancouver, British Columbia, V5Z1L9, Canada.
| | - Michael S Kobor
- Centre for Molecular Medicine and Therapeutics, University of British Columbia, 950 west 28th Avenue, Vancouver, V5Z4H4, Canada. .,Human Early Learning Partnership, School of Population and Public Health, University of British Columbia, 2206 East Mall, Vancouver, British Columbia, V6T1Z3, Canada.
| | - Christopher Carlsten
- Air Pollution Exposure Laboratory, Chan-Yeung Centre for Occupational and Environmental Lung Disease, Department of Medicine, Division of Respiratory Medicine, University of British Columbia, 2775 Laurel Street, Vancouver, British Columbia, V5Z1L9, Canada.
| |
Collapse
|
33
|
Kang CM, Achilleos S, Lawrence J, Wolfson JM, Koutrakis P. Interlab comparison of elemental analysis for low ambient urban PM2.5 levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2014; 48:12150-6. [PMID: 25252224 DOI: 10.1021/es502989j] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
There is growing concern about the accuracy of trace elemental analysis of ambient particulate matter (PM) samples. This has become important because ambient PM concentrations have decreased over the years, and the lower filter loadings result in difficulties in accurate analysis. The performance of energy-dispersive X-ray reflectance spectrometry was evaluated at Harvard School of Public Health using several methodologies, including intercomparison between two other laboratories. In reanalysis of standard films as unknown samples following calibration, the HSPH ED XRF measurements represented good performance: 2% errors in precision and 4% errors in accuracy. Replicate analysis of ambient air filters with low PM2.5 levels indicated that S, K, Fe, and Ca showed excellent reproducibility, most other quantifiable elements were below 15% error, and the elements with larger percent of flagged measurements had less in precision. Results from the interlaboratory comparison demonstrated that most quantifiable elements, except Na and Al, were quite comparable for the three laboratories. Na performance could be validated from the stoichiometry of Na to Cl of indoor PM2.5 filter samples.
Collapse
Affiliation(s)
- Choong-Min Kang
- Exposure, Epidemiology, and Risk Program, Department of Environmental Health, Harvard School of Public Health , Boston, Massachusetts 02215, United States
| | | | | | | | | |
Collapse
|
34
|
Barrow TM, Michels KB. Epigenetic epidemiology of cancer. Biochem Biophys Res Commun 2014; 455:70-83. [PMID: 25124661 DOI: 10.1016/j.bbrc.2014.08.002] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2014] [Revised: 07/15/2014] [Accepted: 08/01/2014] [Indexed: 02/06/2023]
Abstract
Epigenetic epidemiology includes the study of variation in epigenetic traits and the risk of disease in populations. Its application to the field of cancer has provided insight into how lifestyle and environmental factors influence the epigenome and how epigenetic events may be involved in carcinogenesis. Furthermore, it has the potential to bring benefit to patients through the identification of diagnostic markers that enable the early detection of disease and prognostic markers that can inform upon appropriate treatment strategies. However, there are a number of challenges associated with the conduct of such studies, and with the identification of biomarkers that can be applied to the clinical setting. In this review, we delineate the challenges faced in the design of epigenetic epidemiology studies in cancer, including the suitability of blood as a surrogate tissue and the capture of genome-wide DNA methylation. We describe how epigenetic epidemiology has brought insight into risk factors associated with lung, breast, colorectal and bladder cancer and review relevant research. We discuss recent findings on the identification of epigenetic diagnostic and prognostic biomarkers for these cancers.
Collapse
Affiliation(s)
- Timothy M Barrow
- Institute for Prevention and Tumor Epidemiology, Freiburg Medical Center, University of Freiburg, 79106, Germany; German Consortium for Translational Cancer Research (DKTK), Heidelberg, Germany; German Cancer Research Center (DKFZ), Heidelberg, Germany.
| | - Karin B Michels
- Institute for Prevention and Tumor Epidemiology, Freiburg Medical Center, University of Freiburg, 79106, Germany; Obstetrics and Gynecology Epidemiology Center, Department of Obstetrics, Gynecology and Reproductive Biology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Department of Epidemiology, Harvard School of Public Health, Boston, MA 02115, USA.
| |
Collapse
|
35
|
Zheng Y, Fei Z, Zhang W, Starren JB, Liu L, Baccarelli AA, Li Y, Hou L. PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures. ACTA ACUST UNITED AC 2014; 30:2802-7. [PMID: 24947752 DOI: 10.1093/bioinformatics/btu396] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
MOTIVATION MicroRNAs (miRNAs) are short single-stranded non-coding molecules that usually function as negative regulators to silence or suppress gene expression. Owning to the dynamic nature of miRNA and reduced microarray and sequencing costs, a growing number of researchers are now measuring high-dimensional miRNA expression data using repeated or multiple measures in which each individual has more than one sample collected and measured over time. However, the commonly used univariate association testing or the site-by-site (SBS) testing may underutilize the longitudinal feature of the data, leading to underpowered results and less biologically meaningful results. RESULTS We propose a penalized regression model incorporating grid search method (PGS), for analyzing associations of high-dimensional miRNA expression data with repeated measures. The development of this analytical framework was motivated by a real-world miRNA dataset. Comparisons between PGS and the SBS testing revealed that PGS provided smaller phenotype prediction errors and higher enrichment of phenotype-related biological pathways than the SBS testing. Our extensive simulations showed that PGS provided more accurate estimates and higher sensitivity than the SBS testing with comparable specificities. AVAILABILITY AND IMPLEMENTATION R source code for PGS algorithm, implementation example and simulation study are available for download at https://github.com/feizhe/PGS.
Collapse
Affiliation(s)
- Yinan Zheng
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Zhe Fei
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Wei Zhang
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Justin B Starren
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lei Liu
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Andrea A Baccarelli
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Yi Li
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Biostatistics, University of Michigan, Ann Arbor, MI 48109, Institute of Human Genetics, University of Illinois at Chicago, Chicago, IL 60612, Division of Health and Biomedical Informatics, Departments of Preventive Medicine and Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, Department of Environmental Health, Harvard School of Public Health, Boston, MA 02115 and The Robert H. Lurie Comprehensive Cancer Center, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| |
Collapse
|
36
|
Guo L, Byun HM, Zhong J, Motta V, Barupal J, Zheng Y, Dou C, Zhang F, McCracken JP, Diaz A, Marco SG, Colicino S, Schwartz J, Wang S, Hou L, Baccarelli AA. Effects of short-term exposure to inhalable particulate matter on DNA methylation of tandem repeats. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2014; 55:322-35. [PMID: 24436168 PMCID: PMC4426495 DOI: 10.1002/em.21838] [Citation(s) in RCA: 49] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2013] [Revised: 01/06/2013] [Accepted: 01/06/2014] [Indexed: 05/21/2023]
Abstract
There is compelling evidence that particulate matter (PM) increases lung cancer risk by triggering systemic inflammation, and leukocyte DNA hypomethylation. However, previous investigations focused on repeated element sequences from LINE-1 and Alu families. Tandem repeats, which display a greater propensity to mutate, and are often hypomethylated in cancer patients, have never been investigated in individuals exposed to PM. We measured methylation of three tandem repeats (SATα, NBL2, and D4Z4) by polymerase chain reaction-pyrosequencing on blood samples from truck drivers and office workers (60 per group) in Beijing, China. We used lightweight monitors to measure personal PM2.5 (PM with aerodynamic diameter ≤2.5 µm) and elemental carbon (a tracer of PM from vehicular traffic). Ambient PM10 data were obtained from air quality measuring stations. Overall, an interquartile increase in personal PM2.5 and ambient PM10 levels was associated with a significant covariate-adjusted decrease in SATα methylation (-1.35% 5-methyl cytosine [5mC], P = 0.01; and -1.33%5mC; P = 0.01, respectively). Effects from personal PM2.5 and ambient PM10 on SATα methylation were stronger in truck drivers (-2.34%5mC, P = 0.02; -1.44%5mC, P = 0.06) than office workers (-0.95%5mC, P = 0.26; -1.25%5mC, P = 0.12, respectively). Ambient PM10 was negatively correlated with NBL2 methylation in truck drivers (-1.38%5mC, P = 0.03) but not in office workers (1.04%5mC, P = 0.13). Our result suggests that PM exposure is associated with hypomethylation of selected tandem repeats. Measuring tandem-repeat hypomethylation in easy-to-obtain blood specimens might identify individuals with biological effects and potential cancer risk from PM exposure.
Collapse
Affiliation(s)
- Liqiong Guo
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
- Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), College of Environmental Sciences and Engineering, Nankai University, Tianjin, China
- Correspondence to: Liqiong Guo, Nankai University, College of Environmental Sciences and Engineering, Key Laboratory of Pollution Processes and Environmental Criteria (Ministry of Education), Tianjin 300071, Tel. +86(186)-9804-6908,
| | - Hyang-Min Byun
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Jia Zhong
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Valeria Motta
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
- Center for Molecular and Genetic Epidemiology, Department of Environmental and Occupational Health, Ca’Granda Ospedale Maggiore Policlinico IRCCS Foundation, Universita degli Studi di Milano, Milan, Italy
| | - Jitendra Barupal
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Yinan Zheng
- Driskill Graduate Program (DGP) in Life Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Chang Dou
- Department of Safety Engineering, China Institute of Industrial Health, Beijing, China
| | - Feiruo Zhang
- Department of Occupational and Environmental Health, Peking University Health Science Center, Beijing, China
| | - John P. McCracken
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Anaité Diaz
- Center for Health Studies, Universidad del Valle de Guatemala, Guatemala City, Guatemala
| | - Sanchez-Guerra Marco
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Silvia Colicino
- Center for Molecular and Genetic Epidemiology, Department of Environmental and Occupational Health, Ca’Granda Ospedale Maggiore Policlinico IRCCS Foundation, Universita degli Studi di Milano, Milan, Italy
| | - Joel Schwartz
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| | - Sheng Wang
- Department of Occupational and Environmental Health, Peking University Health Science Center, Beijing, China
| | - Lifang Hou
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
- The Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Andrea A. Baccarelli
- Laboratory of Environmental Epigenetics, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA
| |
Collapse
|
37
|
O'Hagan HM, Tang WY. Increased understanding of the impact of environmental exposures on the epigenome. ENVIRONMENTAL AND MOLECULAR MUTAGENESIS 2014; 55:151-154. [PMID: 24339126 DOI: 10.1002/em.21843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2013] [Revised: 11/27/2013] [Accepted: 11/27/2013] [Indexed: 06/03/2023]
Affiliation(s)
- Heather M O'Hagan
- Medical Sciences Program, Indiana University School of Medicine, Bloomington, IN
| | | |
Collapse
|