Airway microbiome is associated with respiratory functions and responses to ambient particulate matter exposure
Autor: | Shunqing Xu, Zhongyang Zhang, Jingkun Jiang, Bo Zhao, Jianwei Lu, Haoxiang Cheng, Jing Yu, Lihong Fan, Yuan Shen, Long Cheng, Antonio Fabio Di Narzo, Jia Chen, Yang Zhou, Pengfei Yao, Changhui Wang, Jushan Zhang, Liping Wang, Dongbin Wang, Yuanyuan Li, Ke Hao |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male China Vital capacity Health Toxicology and Mutagenesis Respiratory System Vital Capacity 0211 other engineering and technologies 02 engineering and technology 010501 environmental sciences 01 natural sciences Article Cohort Studies FEV1/FVC ratio Forced Expiratory Volume RNA Ribosomal 16S medicine Humans Respiratory function Microbiome Respiratory system Lung Aged 0105 earth and related environmental sciences Air Pollutants 021110 strategic defence & security studies COPD Sequence Analysis RNA business.industry Microbiota Respiration Sputum Public Health Environmental and Occupational Health Environmental Exposure General Medicine Middle Aged respiratory system medicine.disease Pollution Respiratory Function Tests respiratory tract diseases Immunology Female Particulate Matter medicine.symptom business Airway |
Zdroj: | Ecotoxicology and Environmental Safety. 167:269-277 |
ISSN: | 0147-6513 |
Popis: | BACKGROUND: Ambient particulate matter (PM) exposure has been associated with respiratory function decline in epidemiological studies. We hypothesize that a possible underlying mechanism is the perturbation of airway microbiome by PM exposure. METHODS: During October 2016 – October 2017, on two human cohorts (n = 115 in total) in Shanghai China, we systematically collected three categories of data (1) respiratory functions, (2) airway microbiome from sputum and (3) ambient PM(2.5) (PM of ≤ 2.5 micron in diameter) – level in ambient air. We investigated the impact of PM(2.5) on airway microbiome as well as the link between airway microbiome and respiratory functions using mix linear regression models. RESULTS: The respiratory function of our primary interest includes forced vital capacity (FVC) and forced expiratory volume in 1st second (FEV(1)). FEV(1)/FVC, an important respiratory function trait and key diagnosis criterion of COPD, was significantly associated with airway bacteria load (p = 0.0038); and FEV(1) was associated with airway microbiome profile (p = 0.013). Further, airway microbiome was significantly influenced by PM(2.5) exposure (p = 4.48E-11). CONCLUSIONS: To our knowledge, for the first time, we demonstrated the impact of PM(2.5) on airway microbiome, and reported the link between airway microbiome and respiratory functions. The results expand our understanding on the scope of PM(2.5) exposure’s influence on human respiratory system, and pointed to novel etiological mechanism of PM(2.5) exposure induced diseases. |
Databáze: | OpenAIRE |
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