Affiliations 

  • 1 Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Centre for Environmental Sciences, Hasselt University, Hasselt, Belgium
  • 2 Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom
  • 3 IIGM, Italian Institute for Genomic Medicine, Turin, Italy
  • 4 Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
  • 5 Danish Cancer Society Research Center, Copenhagen, Denmark; Department of Environmental Science, Aarhus University, Roskilde, Denmark
  • 6 Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands
  • 7 National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, 48 Vas. Constantinou Ave., Athens 11635, Greece
  • 8 Unit of Cancer Epidemiology-CERMS, Department of Medical Sciences, University of Turin and Città Della Salute E Della Scienza Hospital, Turin, Italy
  • 9 Epidemiology Unit, Department of Preventive and Predictive Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
  • 10 Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands; Department of Social & Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
  • 11 Julius Center for Health Sciences and Primary Care, UMC Utrecht, Utrecht, The Netherlands; Centre for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
  • 12 Cardiovascular Epidemiology and Genetics Research Group, IMIM (Hospital del Mar Medical Research Institute), 08003 Barcelona, Catalonia, Spain; Universitat Pompeu Fabra (UPF), 08003 Barcelona, Catalonia, Spain
  • 13 Institute of Epidemiology II, Helmholtz Zentrum München - German Research Center for Environmental Health, Neuherberg, Germany
  • 14 Department of Toxicogenomics, Maastricht University, The Netherlands; Department of Cell Biology-Inspired Tissue Engineering, MERLN Institute, Maastricht University, Maastricht, The Netherlands
  • 15 Department of Toxicogenomics, Maastricht University, The Netherlands
  • 16 Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; IIGM, Italian Institute for Genomic Medicine, Turin, Italy
  • 17 Department of Epidemiology and Biostatistics, The School of Public Health, Imperial College London, London, United Kingdom; Medical Research Council-Health Protection Agency Centre for Environment and Health, Imperial College London, London, United Kingdom; Institute for Risk Assessment Sciences (IRAS), Division of Environmental Epidemiology, Utrecht University, Utrecht, The Netherlands. Electronic address: [email protected]
Environ Int, 2017 11;108:127-136.
PMID: 28843141 DOI: 10.1016/j.envint.2017.08.006

Abstract

Long-term exposure to air pollution has been associated with several adverse health effects including cardiovascular, respiratory diseases and cancers. However, underlying molecular alterations remain to be further investigated. The aim of this study is to investigate the effects of long-term exposure to air pollutants on (a) average DNA methylation at functional regions and, (b) individual differentially methylated CpG sites. An assumption is that omic measurements, including the methylome, are more sensitive to low doses than hard health outcomes. This study included blood-derived DNA methylation (Illumina-HM450 methylation) for 454 Italian and 159 Dutch participants from the European Prospective Investigation into Cancer and Nutrition (EPIC). Long-term air pollution exposure levels, including NO2, NOx, PM2.5, PMcoarse, PM10, PM2.5 absorbance (soot) were estimated using models developed within the ESCAPE project, and back-extrapolated to the time of sampling when possible. We meta-analysed the associations between the air pollutants and global DNA methylation, methylation in functional regions and epigenome-wide methylation. CpG sites found differentially methylated with air pollution were further investigated for functional interpretation in an independent population (EnviroGenoMarkers project), where (N=613) participants had both methylation and gene expression data available. Exposure to NO2 was associated with a significant global somatic hypomethylation (p-value=0.014). Hypomethylation of CpG island's shores and shelves and gene bodies was significantly associated with higher exposures to NO2 and NOx. Meta-analysing the epigenome-wide findings of the 2 cohorts did not show genome-wide significant associations at single CpG site level. However, several significant CpG were found if the analyses were separated by countries. By regressing gene expression levels against methylation levels of the exposure-related CpG sites, we identified several significant CpG-transcript pairs and highlighted 5 enriched pathways for NO2 and 9 for NOx mainly related to the immune system and its regulation. Our findings support results on global hypomethylation associated with air pollution, and suggest that the shores and shelves of CpG islands and gene bodies are mostly affected by higher exposure to NO2 and NOx. Functional differences in the immune system were suggested by transcriptome analyses.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.