北京大学学报自然科学版 ›› 2019, Vol. 55 ›› Issue (3): 501-508.DOI: 10.13209/j.0479-8023.2019.014

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基于洛杉矶–北京迁徙人群的大气污染暴露相关急性健康效应标志物的代谢组学研究

谢天宁1, 林岩1,2, 邱兴华1,†   

  1. 1. 环境模拟与污染控制国家重点联合实验室, 北京大学环境科学与工程学院, 北京 100871 2. Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health and Division of Cardiology, Department of Medicine, School of Medicine, University of California, Los Angeles, CA 90095
  • 收稿日期:2018-04-09 修回日期:2018-05-18 出版日期:2019-05-20 发布日期:2019-05-20
  • 通讯作者: 邱兴华,E-mail:xhqiu@pku.edu.cn
  • 基金资助:
    国家自然科学基金(41561144007)和国家重点基础研究发展计划(2015CB553401)资助

A Preliminary Metabolomics Study on Air Pollution Associated Acute Biomarkers of Health Effect Based on a Migration Panel between Los Angeles and Beijing

XIE Tianning1, LIN Yan1,2, QIU Xinghua1,†   

  1. 1. State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871 2. Department of Environmental Health Sciences, Jonathan and Karin Fielding School of Public Health and Division of Cardiology, Department of Medicine, School of Medicine, University of California, Los Angeles, CA 90095
  • Received:2018-04-09 Revised:2018-05-18 Online:2019-05-20 Published:2019-05-20
  • Contact: QIU Xinghua,E-mail:xhqiu@pku.edu.cn

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摘要：

采用定组设计, 以14名洛杉矶加州大学–北京大学交换学生为受试者, 建立基于气相色谱–质谱联用的尿液非靶向代谢组学方法, 采用包括(正交)偏最小二乘回归判别分析在内的多种统计方法识别差异物质, 并基于色谱–质谱信息进行结构鉴定。通过固定站点监测数据评价研究期间两地的大气污染物暴露, 采用混合效应线性模型探索污染物与指征氧化损伤的生物标志物间的关联。结果表明, 两地的暴露变化与人体能量代谢、氧化损伤、肠胃菌群、蛋白质与 RNA代谢(可能涉及细胞凋亡)等通路变化之间可能存在关联, 受试者尿液中的尿囊素、胱氨酸和假尿嘧啶水平在北京显著上升。当以尿囊素作为指征机体急性氧化损伤的标志物时, 其变化与0~96小时的PM2.5 、0~24小时的 CO、24~48小时的NO2、48~72小时的O3以及24~72小时的SO2暴露有较强的相关性。结果表明北京与洛杉矶间大气污染物暴露的差异可能导致受试者体内氧化损伤负担发生变化, 同时体内可能产生抗氧化损伤的生理活动, 例如通过调动能量代谢通路抵御氧化还原失衡造成的氧化损伤负担。

关键词: 代谢组学, 生物标志物, 氧化损伤, 大气污染物, 混合效应模型

Abstract:

A panel study was conducted between Los Angeles and Beijing with 14 healthy young subjects of exchange students from University of California Los Angeles. Urine samples were collected repeatedly and analyzed with a metabolomics approach based on gas chromatography-mass spectrometry (GC-MS) to investigate the markers of early biological response. Multivariate statistical analyses were applied to screen the significantly changed metabolites, which were further identified based on GC-MS signals. Meanwhile, concentrations of ambient air pollution in the communities where subjects lived were cited from monitoring stations, and a linear mixed-effects model was used to estimate the association between oxidative damage biomarkers and concentration of gaseous pollutants and PM2.5. The results indicated that these discriminating metabolites between Los Angeles and Beijing were related to energy metabolism, oxidative damage, gastrointestinal flora, metabolism of protein and RNA (such as cell apoptosis). Effect of oxidative damage especially stood out in Beijing, with allantoin as well as L-cystine and pseudouridine as significantly changed biomarkers. The results also showed a potential positively association between allantoin and PM2.5 in prior 0–96 h, CO in prior 0–24 h, NO2 in prior 24–48 h, O3 in prior 48–72 h, and SO2 in prior 24–72 h. These evidences might suggest that the different pollution between Los Angeles and Beijing could change the oxidative burden, and body might relieve this burden through energy metabolism in return.

Key words: metabolomics, biomarkers, oxidative damage, ambient air pollution, mixed-effects model

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