Short-term transcriptome and microRNAs responses to exposure to different air pollutants in two population studies

被引:38
作者
Espin-Perez, Almudena [1 ]
Krauskopf, Julian [1 ]
Chadeau-Hyam, Marc [2 ]
van Veldhoven, Karin [2 ]
Chung, Fan [2 ]
Cullinan, Paul [2 ]
Piepers, Jolanda [1 ]
van Herwijnen, Marcel [1 ]
Kubesch, Nadine [3 ]
Carrasco-Turigas, Gloria [4 ]
Nieuwenhuijsen, Mark [4 ]
Vineis, Paolo [2 ]
Kleinjans, Jos C. S. [1 ]
de Kok, Theo M. C. M. [1 ]
机构
[1] Maastricht Univ, GROW Sch Oncol & Dev Biol, Dept Toxicogen, Maastricht, Netherlands
[2] Imperial Coll London, Sch Publ Hlth, Dept Epidemiol & Biostat, MRC PHE Ctr Environm & Hlth, London, England
[3] Univ Copenhagen, Ctr Epidemiol & Screening, Copenhagen, Denmark
[4] Barcelona Inst Global Hlth ISGlobal, Barcelona, Spain
关键词
Air pollution; Transcriptome; microRNA; Short-term exposure; GENE-EXPRESSION; MIR-17-92; POLYCISTRON; ALZHEIMERS-DISEASE; DOWN-REGULATION; LUNG CANCERS; CELL-CYCLE; IN-VIVO; POLLUTION; CLUSTER; APOPTOSIS;
D O I
10.1016/j.envpol.2018.06.051
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Diesel vehicle emissions are the major source of genotoxic compounds in ambient air from urban areas. These pollutants are linked to risks of cardiovascular diseases, lung cancer, respiratory infections and adverse neurological effects. Biological events associated with exposure to some air pollutants are widely unknown but applying omics techniques may help to identify the molecular processes that link exposure to disease risk. Most data on health risks are related to long-term exposure, so the aim of this study is to investigate the impact of short-term exposure (two hours) to air pollutants on the blood transcriptome and microRNA expression levels. We analyzed transcriptomics and microRNA expression using microarray technology on blood samples from volunteers participating in studies in London, the Oxford Street cohort, and, in Barcelona, the TAPAS cohort. Personal exposure levels measurements of particulate matter (PM10 PM2.5), ultrafine particles (UFPC), nitrogen oxides (NO2, NO and NOx), black carbon (BC) and carbon oxides (CO and CO2) were registered for each volunteer. Associations between air pollutant levels and gene/microRNA expression were evaluated using multivariate normal models (MVN). MVN-models identified compound-specific expression of blood cell genes and microRNAs associated with air pollution despite the low exposure levels, the short exposure periods and the relatively small sized cohorts. Hsa-miR-197-3p, hsa-miR-29a-3p, hsa-miR-15a-5p, hsa-miR-16-5p and hsa-miR-92a-3p are found significantly expressed in association with exposures. These microRNAs target also relevant transcripts, indicating their potential relevance in the research of omics-biomarkers responding to air pollution. Furthermore, these microRNAs are also known to be associated with diseases previously linked to air pollution exposure including several cancers such lung cancer and Alzheimer's disease. In conclusion, we identified in this study promising compound-specific mRNA and microRNA biomarkers after two hours of exposure to low levels of air pollutants during two hours that suggest increased cancer risks. (C) 2018 Published by Elsevier Ltd.
引用
收藏
页码:182 / 190
页数:9
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