| Title: | Organic Components of Personal PM(2.5) Exposure Associated with Inflammation: Evidence from an Untargeted Exposomic Approach |
| Author(s): | Jiang X; Han Y; Qiu X; Chai Q; Zhang H; Chen X; Cheng Z; Wang Y; Fan Y; Xue T; Li W; Gong J; Zhu T; |
| Address: | "State Key Joint Laboratory for Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, P. R. China. Environmental Research Group, MRC Centre for Environment and Health, Imperial College London, London W2 1PG, U.K. Peking University Hospital, Peking University, Beijing 100871, P. R. China" |
| ISSN/ISBN: | 1520-5851 (Electronic) 0013-936X (Linking) |
| Abstract: | "Fine particulate matter (PM(2.5)) can promote chronic diseases through the fundamental mechanism of inflammation; however, systemic information is lacking on the inflammatory PM(2.5) components. To decipher organic components from personal PM(2.5) exposure that were associated with respiratory and circulatory inflammatory responses in older adults, we developed an exposomic approach using trace amounts of particles and applied it on 424 personal PM(2.5) samples collected in a panel study in Beijing. Applying an integrated multivariate and univariate untargeted strategy, a total of 267 organic compounds were filtered and then chemically identified according to their association with exhaled nitric oxide (eNO)/interleukin (IL)-6 or serum IL-1beta/IL-6, with monocyclic and polycyclic aromatic compounds (i.e., MACs and PACs) as the representatives. Indoor-derived species with medium volatility including MACs were mainly associated with systemic inflammation, while low-volatile ambient components that originate from combustion sources, such as PACs, were mostly associated with airway inflammation. Following ambient component exposure, we found an inverted U-shaped relationship on change of eNO with insulin resistance, suggesting a higher risk of cardiopulmonary dysfunction for individuals with homeostatic model assessment for insulin resistance (HOMA-IR) levels > 2.3. Overall, this study provided a practical untargeted strategy for the systemic investigation of PM(2.5) components and proposed source-specific inflammatory effects" |
| Keywords: | Aged *Air Pollutants/analysis Beijing Humans Inflammation Organic Chemicals Particulate Matter/analysis exposomics fine particulate matter (PM2.5) metabolic disorder organic components personal exposure; |
| Notes: | "MedlineJiang, Xing Han, Yiqun Qiu, Xinghua Chai, Qianqian Zhang, Hanxiyue Chen, Xi Cheng, Zhen Wang, Yanwen Fan, Yunfei Xue, Tao Li, Weiju Gong, Jicheng Zhu, Tong eng Research Support, Non-U.S. Gov't 2021/07/24 Environ Sci Technol. 2021 Aug 3; 55(15):10589-10596. doi: 10.1021/acs.est.1c02023. Epub 2021 Jul 23" |
