The risk factors and causes of chronic obstructive pulmonary disease(COPD)are not clear, so the prevalence of COPD is high and the prevention effect is not good. Because the pathogenesis of COPD is not completely elucidated, the diagnosis and classification of COPD are inaccurate which resulting in poor efficacy of treatment. Therefore, it is of great scientific and clinical significance to find out the risk factors and causes of COPD, to clarify its pathogenesis, to put forward the prevention and early intervention measures of COPD, to warn the occurrence of COPD, to predict the deterioration of the disease, to reduce the occurrence of COPD and to slow down the progress of COPD. The project establishes a cohort of COPD people,high-risk group and the healthy group. The project studys the risk factors, etiology and pathogenesis of COPD. The project studys the interaction between genetic factors and environmental factors on COPD and its effect on pathogenesis, progression and outcome of COPD.
The project establishes the data base and specimen bank for COPD.Then clinical bioinformatics technology is uesd to analyze the clinical information and epidemiological information. In the same time, Omics methods are used to study COPD-related genes and biomarkers . Finally, a multi-factor risk factor model for the occurrence and development of COPD is established by combining clinical information, epidemiological information and biomics results.
Study Type
OBSERVATIONAL
Enrollment
13,000
The first affiliated hospital of wenzhou medical university
Wenzhou, Zhejiang, China
RECRUITINGRisk factors and pathogenesis of of COPD
1. To establish a cohort of copd patients and high-risk population; 2. To establish a multi-factor risk factor model for copd, and screen 5-10 risk factors related to the occurrence and development of COPD.
Time frame: From date of participation in project until December 31, 2022
Clinical bioinformatics database for COPD
1. To find 1-2 susceptibility genes closely related to COPD through gene and epigenetic studies combined with clinical bioinformatics analysis and genomic research ; 2. To find 3-5 biomarkers closely related to COPD through protein and metabolomics studies as well as clinical bioinformatics analysis.
Time frame: From date of participation in project until December 31, 2022
Biological library of COPD
1. To verify the identified susceptibility genes and biomarkers in the existing COPD cohort, and then expand to be verified outside the cohort, to verify 5-7 related susceptibility genes and biomarkers; 2. To further explore the pathogenesis of COPD by conducting preliminary mechanism studies on the discovered susceptibility genes and biomarkers combined with big data analysis; 3. To build a unified copd data collection and sharing platform between local hospitals to achieve real-time monitoring of statistical analysis.
Time frame: From date of participation in project until December 31, 2022
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