SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China.
SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen 518049, China.
J Hazard Mater. 2021 Aug 15;416:125790. doi: 10.1016/j.jhazmat.2021.125790. Epub 2021 Apr 1.
Ambient air pollution is a major risk factor for the prevalence and exacerbation of chronic obstructive pulmonary disease (COPD). Based on the COPDB (COPD in Beijing) panel study, whole-blood transcriptomes were repeatedly measured in 48 COPD patients and 62 healthy participants. Ambient mass concentrations of fine particulate matter (PM), temperature, and relative humidity were continuously monitored at a monitoring station. The linear mixed-effects models were applied to estimate the associations between logarithmically transformed transcript levels and 1-day (d), 7-d, and 14-d average concentrations of PM before the start of follow-up visits. MetaCore™ was used to conduct the pathway enrichment analyses. Exposure to 1-, 7-, and 14-d average concentrations of PM was significantly associated with the transcriptome responses in both groups. The top 10, top 100, and top 1000 PM-associated transcripts differed greatly between the two groups. Among COPD patients, role of alpha-6/beta-4 integrins in carcinoma progression, Notch signaling in breast cancer, and ubiquinone metabolism were the most significantly enriched PM-associated biological pathways in the three time windows, respectively. In healthy participants, pro-opiomelanocortin processing was the most significant PM-associated biological pathway in all three time windows. Our findings provide novel insights into the adverse health effects of air pollution exposure.
大气污染是慢性阻塞性肺疾病(COPD)发病和恶化的主要危险因素。基于 COPDB(北京 COPD)小组研究,对 48 名 COPD 患者和 62 名健康参与者的全血转录组进行了重复测量。在一个监测站连续监测细颗粒物(PM)、温度和相对湿度的质量浓度。应用线性混合效应模型估计随访开始前 1 天(d)、7 天(d)和 14 天(d)平均 PM 浓度与转录水平之间的关联。MetaCore™用于进行途径富集分析。暴露于 1 天、7 天和 14 天的平均 PM 浓度与两组的转录组反应显著相关。两组之间的前 10 名、前 100 名和前 1000 名与 PM 相关的转录本差异很大。在 COPD 患者中,α-6/β-4 整合素在癌进展中的作用、乳腺癌中的 Notch 信号和泛醌代谢分别是三个时间窗口中最显著的 PM 相关生物学途径。在健康参与者中,前阿黑皮素原加工是所有三个时间窗口中最显著的 PM 相关生物学途径。我们的研究结果为空气污染暴露的不良健康影响提供了新的见解。