MRC-PHE Centre for Environment & Health, Department of Analytical, Environmental & Forensic Sciences, School of Population Health & Environmental Sciences, Faculty of Life Sciences & Medicine, King's College London, Franklin-Wilkins Building, 150 Stamford Street, London, SE1 9NH, UK.
MRC-PHE Centre for Environment & Health, Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, Norfolk Place, London, W2 1PG, UK.
Chemosphere. 2020 Jan;239:124667. doi: 10.1016/j.chemosphere.2019.124667. Epub 2019 Aug 24.
Exposure to air pollution can have both short-term and long-term effects on health. However, the relationships between specific pollutants and their effects can be obscured by characteristics of both the pollution and the exposed population. One way of elucidating the relationships is to link exposures and internal changes at the level of the individual. To this end, we combined personal exposure monitoring (59 individuals, Oxford Street II crossover study) with mass-spectrometry-based analyses of putative serum albumin adducts (fixed-step selected reaction monitoring). We attempted to infer adducts' identities using data from another, higher-resolution mass spectrometry method, and were able to detect a semi-synthetic standard with both methods. A generalised least squares regression method was used to test for associations between amounts of adducts and pollution measures (ambient concentrations of nitrogen dioxide and particulate matter), and between amounts of adducts and short-term health outcomes (measures of lung health and arterial stiffness). Amounts of some putative adducts (e.g., one with a positive mass shift of ∼143 Da) were associated with exposure to pollution (11 associations), and amounts of other adducts were associated with health outcomes (eight associations). Adducts did not appear to provide a link between exposures and short-term health outcomes.
暴露于空气污染会对健康造成短期和长期影响。然而，特定污染物及其影响之间的关系可能会因污染和暴露人群的特征而变得模糊。一种阐明这些关系的方法是将暴露和个体层面的内部变化联系起来。为此，我们将个人暴露监测（59 人，牛津街 II 交叉研究）与基于质谱的潜在血清白蛋白加合物分析（固定步长选择反应监测）相结合。我们试图使用另一种更高分辨率的质谱方法的数据来推断加合物的身份，并能够使用这两种方法检测到一种半合成标准品。使用广义最小二乘法回归方法检验了加合物数量与污染指标（二氧化氮和颗粒物的环境浓度）之间的关联，以及加合物数量与短期健康结果（肺功能和动脉僵硬度的测量）之间的关联。一些假定加合物的数量（例如，质量偏移约 143Da 的一种加合物）与污染暴露有关（11 种关联），而其他加合物的数量与健康结果有关（8 种关联）。加合物似乎并没有在暴露和短期健康结果之间提供联系。
