O-077 EXPOSOME CHARACTERIZATION OF DIESEL ENGINE EXHAUST EXPOSURE

Qing Lan, Roel Vermeulen, Mohammad Rahman, Yufei Dai, Wei Hu, Brooklynn McNeil Irving, Xiangping Lin, Batel Blechter, Dianzhi Ren Chaoyang, Huawei Duan, Jason Wong, Yong Niu, Jun Xu, Wei Fu Chaoyang, Kees Meliefste, Dean Hosgood, Meng Ye, Xiaowei Jia, Tao Meng, Ping Bin, Debra Silverman, Yuxin Zheng, Nathaniel Rothman, Douglas Walker
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Abstract

Introduction Exposure to diesel engine exhaust (DEE) is associated with increased lung cancer risk; however, underlying molecular mechanisms remain unclear. We apply an exposome approach to characterize early biological effects of occupational DEE exposure. Methods Plasma samples from 54 diesel engine factory workers and 55 non-exposed control workers were characterized using an integrated exposome platform that combines untargeted gas chromatography (GC-) and liquid chromatography (LC-) with high-resolution mass spectrometry (HRMS). Exposome profiles were evaluated by metabolome-wide association study (MWAS) for molecular features associated with DEE exposure and elemental carbon. Potential molecular mechanisms underlying DEE were further evaluated by integrating exposome profiles with plasma proteomics, urine aminopyrenes and mutagenicity, and buccal gene expression analysis. Results GC- and LC-HRMS untargeted analysis detected 68,285 metabolic features. Comparison of DEE-exposed and non-exposed workers identified 772 molecular features associated with exposure at a FDR <5%, including 102 detected using GC-HRMS and 670 detected using LC-HRMS. Molecular networking and annotation identified compounds consistent with DEE exposure, while metabolic pathway enrichment suggest alterations in oxidative stress and endothelial pathways. We conducted a secondary MWAS to link urinary mutagenicity, reflecting systemic exposure to genotoxic/carcinogenic agents, and associated with tumor development and identified 90 molecular features positively associated with urine mutagenicity at FDR<5%. Discussion Integration of exposome profiles with protein and genome-wide gene expression identified biological alterations consistent with many of the key characteristics of carcinogens. Conclusion Integrated exposome characterization of DEE exposure identified novel DEE biomarkers and biological response profiles in a high exposure setting.
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O-077 柴油发动机废气暴露的暴露组特征分析
导言:暴露于柴油发动机废气(DEE)与肺癌风险增加有关;但是,其潜在的分子机制仍不清楚。我们采用暴露组方法来描述职业性 DEE 暴露的早期生物效应。方法 我们使用一个综合暴露组平台对 54 名柴油机厂工人和 55 名非暴露对照工人的血浆样本进行了表征,该平台结合了非靶向气相色谱 (GC-) 和液相色谱 (LC-) 以及高分辨率质谱 (HRMS) 技术。通过全代谢组关联研究(MWAS)评估了暴露组图谱与 DEE 暴露和元素碳相关的分子特征。通过将暴露组图谱与血浆蛋白质组学、尿氨芘和致突变性以及口腔基因表达分析相结合,进一步评估了 DEE 的潜在分子机制。结果 GC 和 LC-HRMS 非靶向分析检测到 68,285 个代谢特征。对暴露于 DEE 的工人和未暴露于 DEE 的工人进行比较,在 FDR <5% 的条件下发现了 772 个与暴露有关的分子特征,其中 102 个是通过 GC-HRMS 检测到的,670 个是通过 LC-HRMS 检测到的。分子网络和注释确定了与暴露于 DEE 一致的化合物,而代谢通路富集表明氧化应激和内皮通路发生了改变。我们进行了二次 MWAS,将尿液致突变性与肿瘤发生联系起来,尿液致突变性反映了全身暴露于遗传毒性/致癌物质的情况,并确定了 90 个分子特征与尿液致突变性呈正相关(FDR<5%)。讨论 暴露组特征与蛋白质和全基因组基因表达的整合确定了与致癌物质的许多关键特征一致的生物改变。结论 对暴露于 DEE 的暴露组特征进行综合分析,在高暴露环境中发现了新的 DEE 生物标志物和生物反应特征。
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