Acute Exacerbation of Chronic Obstructive Pulmonary Disease, Copd
Conditions
Brief summary
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.
Detailed description
Chronic obstructive pulmonary disease (COPD) is known as progressive lung disease and the fourth leading cause of death worldwide. Acute exacerbations of COPD (AECOPD) is an important event of disease progression worsening in airway function and respiratory symptoms, bringing about respiratory failure, and increasing the rates of mortality. Despite valuable efforts, there is still no Individualized accurate diagnostic and prognostic tool for COPD. In this context, the investigators are to perform comprehensive transcriptomic, proteomic, metabonomic and exosome characterization of COPD patients and healthy controls. Biological samples of COPD participants, including blood, urine, stool, saliva, bronchoalveolar lavage fluid and clinical characteristics are going to be collected from the remaining materials of the routine clinical examination. And samples of healthy controls will be collected from the rest of the healthy examination practice. By integrating the multi-dimensional data, the investigators aim to elucidate the impact of molecular alterations driving phenotypic variation and to delineate the mechanisms of AECOPD for prospective exploration of personalized, precision-based clinical care.
Interventions
None listed
Sponsors
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 90 Years
Healthy volunteers
Yes
Inclusion criteria
1. Patient has signed informed consent. 2. Patients diagnosed with COPD or fully healthy participants.
Exclusion criteria
1. Tumor disease. 2. Heart disease. 3. Thyroid disease.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| The transcriptome analysis of participates' serum or plasma | through study completion, an average of 1 year | Include the transcriptome data of serum，plasma or exosomes inside |
| The metabolomics analysis of participates' urine or stool | through study completion, an average of 1 year | Predominately include metabolic target analysis, metabolic profiling analysis |
| The proteomics analysis of bronchoalveolar lavage fluid and saliva | through study completion, an average of 1 year | Differentially expressed proteins between SCOPD and AECOPD which associated with disease progression were analyesd |
Countries
China
Contacts
Primary ContactWei Geng, Master
Outcome results
None listed