Ambient fine particulate matter (PM2.5) is linked to an increased risk of chronic obstructive pulmonary disease (COPD) exacerbations, which significantly increase the risk of mortality in COPD patients. Identifying the subtype of COPD patients who are sensitive to environmental aggressions is necessary. Using in vitro and in vivo PM2.5 exposure models, we demonstrate that exosomal hsa_circ_0005045 is upregulated by PM2.5 and binds to the protein cargo peroxiredoxin2, which functionally aggravates hallmarks of COPD by recruiting neutrophil elastase and triggering in situ release of tumor necrosis factor (TNF)-alpha by inflammatory cells. The biological function of hsa_circ_0005045 associated with aggravation of COPD is validated using exosome-transplantation and conditional circRNA-knockdown murine models. By sorting the major components of PM2.5, we find that PM2.5-bound heavy metals, which are distinguishable from the components of cigarette smoke, trigger the elevation of exosomal hsa_circ_0005045. Finally, using machine learning models in a cohort with 327 COPD patients, the PM2.5 exposure-sensitive COPD patients are characterized by relatively high hsa_circ_0005045 expression, non-smoking, and group C (mMRC 0-1 (or CAT < 10) and >= 2 exacerbations (or >= 1 exacerbation leading to hospital admission) in the past year). Thus, our results suggest that environmental reduction in PM2.5 emission provides a targeted approach to protecting non-smoking COPD patients against air pollution-related disease exacerbation.
基金:
State Key Program of the National Natural Science Foundation of China [81730088]; National Science Fund for Distinguished Young Scholars [82025031]; National Natural Science Foundation of China [81973084, 82003498, 82003499, 91943301]; Guangdong Provincial Natural Science Foundation Team Project, China [2018B030312005]; National Institute of Environmental Health Sciences (NIEHS) [R01 ES10563, R01 ES07331, R01 ES020852]
第一作者机构:[1]Capital Med Univ, Sch Publ Hlth, Beijing Key Lab Environm Toxicol, Beijing 100069, Peoples R China
共同第一作者:
通讯作者:
通讯机构:[1]Capital Med Univ, Sch Publ Hlth, Beijing Key Lab Environm Toxicol, Beijing 100069, Peoples R China[3]Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Minist Educ, Nanjing 210009, Peoples R China[6]Beijing Inst Otolaryngol, Beijing Key Lab Nasal Dis, Beijing 100005, Peoples R China[7]Capital Med Univ, Beijing TongRen Hosp, Dept Allergy, Beijing 100005, Peoples R China[8]Capital Med Univ, Beijing TongRen Hosp, Dept Otolaryngol Head & Neck Surg, Beijing 100005, Peoples R China[9]Capital Med Univ, Adv Innovat Ctr Human Brain Protect, Sch Publ Hlth, Beijing 100069, Peoples R China[10]Guangzhou Med Univ, Inst Chem Carcinogenesis, Guangzhou 511436, Peoples R China[*1]Beijing Inst Otolaryngol, 17 HouGouHuTong, Beijing 100005, Peoples R China[*2]Capital Med Univ, Sch Publ Hlth, Beijing 100069, Peoples R China[*3]Capital Med Univ, Sch Publ Hlth, Dept Toxicol & Sanit Chem, Beijing 100069, Peoples R China
推荐引用方式(GB/T 7714):
Meng Qingtao,Wang Jiajia,Cui Jian,et al.Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning[J].ENVIRONMENT INTERNATIONAL.2022,168:doi:10.1016/j.envint.2022.107469.
APA:
Meng, Qingtao,Wang, Jiajia,Cui, Jian,Li, Bin,Wu, Shenshen...&Chen, Rui.(2022).Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning.ENVIRONMENT INTERNATIONAL,168,
MLA:
Meng, Qingtao,et al."Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning".ENVIRONMENT INTERNATIONAL 168.(2022)