Chronic obstructive pulmonary disease (COPD) is known as progressive lung disease and the fourth leading cause of death worldwide. Despite valuable efforts, there is still no Individualized accurate diagnostic and prognostic tool for COPD. Hence, the investigators' research integrated multi-dimensional data of COPD patients, which may provide an invaluable bioinformatic resource for understanding the underlying molecular alterations that drive disease progression, with the goal of developing individualized accurate diagnostic and therapeutic inventions.
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The transcriptome analysis of participates' serum or plasma
Timeframe: through study completion, an average of 1 year
The metabolomics analysis of participates' urine or stool
Timeframe: through study completion, an average of 1 year
The proteomics analysis of bronchoalveolar lavage fluid and saliva
Timeframe: through study completion, an average of 1 year