Plusquin, M.* ; Guida, F.* ; Polidoro, S.* ; Vermeulen, R.* ; Raaschou-Nielsen, O.* ; Campanella, G.* ; Hoek, G.* ; Kyrtopoulos, S.A.* ; Georgiadis, P.* ; Naccarati, A.* ; Sacerdote, C.* ; Krogh, V.* ; Bas Bueno-de-Mesquita, H.* ; Monique Verschuren, W.M.* ; Sayols-Baixeras, S.* ; Panni, T. ; Peters, A. ; Hebels, D.G.A.J.* ; Kleinjans, J.C.* ; Vineis, P.* ; Chadeau-Hyam, M.*
DNA methylation and exposure to ambient air pollution in two prospective cohorts.
Environ. Int. 108, 127-136 (2017)
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.
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Publikationstyp
Artikel: Journalartikel
Dokumenttyp
Wissenschaftlicher Artikel
Typ der Hochschulschrift
Herausgeber
Schlagwörter
Air Pollution ; Epic ; Epigenome-wide Dna Methylation ; Illumina 450k Human Methylation Array ; No(x) ; Particulate Matter; Gene-specific Methylation; Use Regression-models; Peripheral-blood; Lung-cancer; Escape Project; Expression; Association; Markers; Smoking; Carcinogenesis
Keywords plus
Sprache
englisch
Veröffentlichungsjahr
2017
Prepublished im Jahr
HGF-Berichtsjahr
2017
ISSN (print) / ISBN
0160-4120
e-ISSN
1873-6750
ISBN
Bandtitel
Konferenztitel
Konferzenzdatum
Konferenzort
Konferenzband
Quellenangaben
Band: 108,
Heft: ,
Seiten: 127-136
Artikelnummer: ,
Supplement: ,
Reihe
Verlag
Elsevier
Verlagsort
Oxford
Tag d. mündl. Prüfung
0000-00-00
Betreuer
Gutachter
Prüfer
Topic
Hochschule
Hochschulort
Fakultät
Veröffentlichungsdatum
0000-00-00
Anmeldedatum
0000-00-00
Anmelder/Inhaber
weitere Inhaber
Anmeldeland
Priorität
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of Epidemiology (EPI)
POF Topic(s)
30202 - Environmental Health
30501 - Systemic Analysis of Genetic and Environmental Factors that Impact Health
Forschungsfeld(er)
Genetics and Epidemiology
PSP-Element(e)
G-504000-001
G-504000-010
G-504000-005
Förderungen
Copyright
Erfassungsdatum
2017-09-13