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Prediction of COPD acute exacerbation in response to air pollution using exosomal circRNA profile and Machine learning

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机构: [1]Capital Med Univ, Sch Publ Hlth, Beijing Key Lab Environm Toxicol, Beijing 100069, Peoples R China [2]Southeast Univ, Med Sch, Zhongda Hosp, Dept Radiol,Jiangsu Key Lab Mol & Funct Imaging, 87 Ding Jia Qiao Rd, Nanjing 210009, Peoples R China [3]Southeast Univ, Sch Publ Hlth, Key Lab Environm Med Engn, Minist Educ, Nanjing 210009, Peoples R China [4]Albert Einstein Coll Med, Dept Mol Pharmacol, Forchheimer 209,1300 Morris Pk Ave, Bronx, NY 10461 USA [5]Capital Med Univ, Beijing TongRen Hosp, Dept Otolaryngol Head & Neck Surg, Beijing 100730, 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
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关键词: COPD circRNA PM2 5 Air pollution Machine learning

摘要:
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.

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出版当年[2021]版:
大类 | 1 区 环境科学与生态学
小类 | 1 区 环境科学
最新[2023]版:
大类 | 1 区 环境科学与生态学
小类 | 1 区 环境科学
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出版当年[2020]版:
Q1 ENVIRONMENTAL SCIENCES
最新[2023]版:
Q1 ENVIRONMENTAL SCIENCES

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第一作者机构: [1]Capital Med Univ, Sch Publ Hlth, Beijing Key Lab Environm Toxicol, Beijing 100069, Peoples R China
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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
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