Relationship Between Metabolic Profile and Clinical Phenotype in Chronic Obstructive Pulmonary Disease
NCT03310177 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 167
Last updated 2017-10-17
Summary
Despite the high prevalence of chronic obstructive pulmonary disease (COPD), there continues to be a large gap in our understanding of disease pathogenesis and mechanisms accounting for large variability in disease phenotype. Untargeted metabolomics is an ideal approach to uncover the metabolic basis of disease, as well as discover unique drug target opportunities aimed at these nodal metabolic drivers of disease. There are very limited data from metabolomics studies from plasma/serum and exhaled breath condensate that suggest certain metabolic pathways or metabolites might predict the presence and/or severity of COPD phenotypes.
Here, the investigators hope to generate comprehensive, compartment specific (blood and lung) metabolite profiles that will be correlated with various clinical phenotypes of COPD, using a complementary approach of untargeted nuclear magnetic resonance (NMR) and liquid chromatography (LC)- mass spectroscopy (MS) -based metabolomics.
Conditions
Sponsors & Collaborators
-
Peking University Third Hospital
lead OTHER
Eligibility
- Min Age
- 40 Years
- Max Age
- 80 Years
- Sex
- MALE
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2015-12-10
- Primary Completion
- 2017-07-20
- Completion
- 2017-07-20
Countries
- China
Study Locations
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