Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
Department of Toxicology and Sanitary Chemistry, School of Public Health, Capital Medical University, Beijing, China, Capital Medical University, Beijing, China; Beijing Key Laboratory of Environmental Toxicology, Capital Medical University, Beijing, China.
J Hazard Mater. 2022 Aug 15;436:129180. doi: 10.1016/j.jhazmat.2022.129180. Epub 2022 May 21.
Air pollution, especially PM (particulate matter with an aerodynamic diameter ≤2.5 µm) in China, is severe and related to a variety of diseases while the potential mechanisms have not been clearly clarified yet. This study was conducted using a randomized crossover trial protocol among young and healthy college students. Plasma samples were collected before, during, and post two typical air pollution waves with a washout interval of at least 2 weeks under true and sham air purification treatments, respectively. A total of 144 blood samples from 24 participants were included in the final analysis. Metabolomics analysis for the plasma samples was completed by Ultrahigh Performance Liquid Chromatography-Mass Spectrometry (UPLC-MS). Orthogonal Partial Least Squares Discrimination Analysis (OPLS-DA) and linear mixed-effect models were used to identify the differentially expressed metabolites and their associations with PM exposure. MetaboAnalyst 5.0 was further used to conduct pathway enrichment analysis and correlation analysis of differentially expressed metabolites. A total of 40 metabolites were identified to be differentially expressed between the true and sham air purification treatments, and eleven metabolites showed consistent significant changes upon outdoor, indoor, and time-weighted personal PM exposures. Short-term exposure to PM may cause disturbances in metabolic pathways such as linoleic acid metabolism, arachidonic acid metabolism, and tryptophan metabolism.
在中国，空气污染，尤其是 PM（空气动力学直径≤2.5μm 的颗粒物）非常严重，与多种疾病有关，但其潜在机制尚不清楚。本研究采用随机交叉试验方案，在真实和模拟空气净化处理下，分别在两次典型空气污染波前后采集 2 周以上洗脱间隔的健康大学生的血浆样本。最终分析纳入了 24 名参与者的 144 份血样。采用超高效液相色谱-质谱联用（UPLC-MS）对血浆样本进行代谢组学分析。采用正交偏最小二乘判别分析（OPLS-DA）和线性混合效应模型来识别差异表达的代谢物及其与 PM 暴露的关联。进一步使用 MetaboAnalyst 5.0 进行差异表达代谢物的通路富集分析和相关性分析。在真实和模拟空气净化处理之间共鉴定出 40 种差异表达的代谢物，其中 11 种代谢物在户外、室内和时间加权个人 PM 暴露时表现出一致的显著变化。PM 的短期暴露可能会导致代谢途径的紊乱，如亚油酸代谢、花生四烯酸代谢和色氨酸代谢。
