Short-term air pollution and temperature exposure and changes in the extracellular microRNA profile of Normative Aging Study (NAS) participants.
Short-term air pollution and temperature exposure and changes in the extracellular microRNA profile of Normative Aging Study (NAS) participants.
复制标题
DOI：
10.1016/j.envint.2023.107735
复制
发表时间：
2023-01
影响因子：
11.8
通讯作者：
Mahdieh Danesh Yazdi;F. Nassan;A. Kosheleva;Cuicui Wang;Zongli Xu;Q. Di;W. Réquia;Nicole T. Comfort;Haotian Wu;L. Laurent;P. Dehoff;P. Vokonas;A. Baccarelli;J. Schwartz
中科院分区：
文献类型：
--
作者：
Mahdieh Danesh Yazdi;F. Nassan;A. Kosheleva;Cuicui Wang;Zongli Xu;Q. Di;W. Réquia;Nicole T. Comfort;Haotian Wu;L. Laurent;P. Dehoff;P. Vokonas;A. Baccarelli;J. Schwartz
虽然空气污染和温度对健康的影响已被广泛研究，但对分子效应的了解甚少。细胞外microRNAs（ex-miRNAs）有可能作为诊断或预后的生物标志物和/或作为介导的环境暴露对健康outcome.MethodsWe的影响的细胞间信号分子，研究了短期暴露于空气污染和环境温度之间的关系和参与者的规范老化研究（NAS）从1999年至2015年的ex-miRNAs配置文件。我们的暴露被定义为同一天，两天，三天，一周，两周和三周的PM2.5，NO2，O3和温度的移动平均值，这些数据来自高分辨率的时空模型。在随访期间获得受试者的ex-miRNA谱。我们使用纵向分位数回归模型分析数据，该模型针对个体协变量、批次效应和时间趋势进行了调整。我们使用错误发现率（FDR）校正对多重比较进行了调整。Ex-miRNA显着相关的曝光进一步调查使用pathway analysis.ResultsWe发现，所有的检查暴露与ex-miRNA档案在我们的研究中，特别是PM2. 5，这是负责大部分的统计学显着的结果的变化。我们发现了110个具有统计学意义的风险-结果关系，揭示了与52种独特的ex-miRNAs水平的相关性。途径分析显示，这些ex-miRNAs与靶mRNA、基因和生物学机制有关，这些机制可能影响几乎所有器官系统，因此可能与多种临床疾病表现有关，如心血管疾病、呼吸系统疾病、结论空气污染和温度暴露与前额叶皮层的改变显著相关，NAS受试者的miRNA谱与可能的生物学后果。
BackgroundWhile the health effects of air pollution and temperature are widely studied, the molecular effects are poorly understood. Extracellular microRNAs (ex-miRNAs) have the potential to serve as diagnostic or prognostic biomarkers and/or to act as intercellular signaling molecules that mediate the effects of environmental exposures on health outcomes.MethodsWe examined the relationship between short-term exposure to air pollution and ambient temperature and the ex-miRNA profiles of participants in the Normative Aging Study (NAS) from 1999 to 2015. Our exposures were defined as same-day, two-day, three-day, one-week, two-week, and three-week moving averages of PM2.5, NO2, O3, and temperature which were derived from high-resolution spatio-temporal models. The ex-miRNA profiles of the subjects were obtained during follow-up visits. We analyzed the data using a longitudinal quantile regression model adjusted for individual covariates, batch effects, and time trends. We adjusted for multiple comparisons using a false discovery rate (FDR) correction. Ex-miRNAs that were significantly associated with exposures were further investigated using pathway analyses.ResultsWe found that all the examined exposures were associated with changes in ex-miRNA profiles in our study, particularly PM2.5which was responsible for most of the statistically significant results. We found 110 statistically significant exposure-outcome relationships that revealed associations with the levels of 52 unique ex-miRNAs. Pathway analyses showed these ex-miRNAs have been linked to target mRNAs, genes, and biological mechanisms that could affect virtually every organ system, and as such may be linked to multiple clinical disease presentations such as cardiovascular disease, respiratory disease, and neurological disease.ConclusionsAir pollution and temperature exposures were significantly associated with alterations in the ex-miRNA profiles of NAS subjects with possible biological consequences.