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两项前瞻性队列研究中的DNA甲基化与暴露于环境空气污染情况

DNA methylation and exposure to ambient air pollution in two prospective cohorts.

作者信息

Plusquin Michelle, Guida Florence, Polidoro Silvia, Vermeulen Roel, Raaschou-Nielsen Ole, Campanella Gianluca, Hoek Gerard, Kyrtopoulos Soterios A, Georgiadis Panagiotis, Naccarati Alessio, Sacerdote Carlotta, Krogh Vittorio, Bas Bueno-de-Mesquita H, Monique Verschuren W M, Sayols-Baixeras Sergi, Panni Tommaso, Peters Annette, Hebels Dennie G A J, Kleinjans Jos, Vineis Paolo, Chadeau-Hyam Marc

机构信息

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.

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.

出版信息

Environ Int. 2017 Nov;108:127-136. doi: 10.1016/j.envint.2017.08.006. Epub 2017 Aug 24.

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 NO, NO, PM, PM, PM, PM (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 NO 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 NO and NO. 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 NO and 9 for NO 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 NO and NO. Functional differences in the immune system were suggested by transcriptome analyses.

摘要

长期暴露于空气污染与多种不良健康影响相关,包括心血管疾病、呼吸系统疾病和癌症。然而,潜在的分子改变仍有待进一步研究。本研究的目的是调查长期暴露于空气污染物对(a)功能区域的平均DNA甲基化,以及(b)个体差异甲基化的CpG位点的影响。一个假设是,包括甲基化组在内的组学测量对低剂量的敏感性高于硬性健康结果。本研究纳入了来自欧洲癌症与营养前瞻性调查(EPIC)的454名意大利参与者和159名荷兰参与者的血液来源DNA甲基化(Illumina-HM450甲基化)数据。使用ESCAPE项目中开发的模型估计长期空气污染暴露水平,包括一氧化氮(NO)、二氧化氮(NO₂)、细颗粒物(PM₂.₅)、可吸入颗粒物(PM₁₀)、粗颗粒物(PM₁₀-₂.₅)、黑炭(PM₂.₅(烟尘)),并在可能的情况下回溯推算至采样时间。我们对空气污染物与全基因组DNA甲基化、功能区域甲基化和全表观基因组甲基化之间的关联进行了荟萃分析。对在空气污染中发现差异甲基化的CpG位点,在一个独立人群(环境基因标记项目)中进一步进行功能解释研究,该人群中有613名参与者同时拥有甲基化和基因表达数据。暴露于NO与显著的全身体细胞低甲基化相关(p值 = 0.014)。CpG岛的边缘和基因体的低甲基化与较高的NO和NO₂暴露显著相关。对这两个队列的全表观基因组研究结果进行荟萃分析,在单个CpG位点水平上未显示全基因组显著关联。然而,如果按国家分开分析,则发现了几个显著的CpG位点。通过将基因表达水平与暴露相关的CpG位点的甲基化水平进行回归分析,我们确定了几个显著的CpG-转录本对,并突出了与NO相关的5条富集通路和与NO₂相关的9条富集通路,主要与免疫系统及其调节有关。我们的研究结果支持了与空气污染相关的全身体细胞低甲基化的研究结果,并表明CpG岛的边缘和基因体大多受到较高的NO和NO₂暴露的影响。转录组分析表明了免疫系统的功能差异。

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