Chronic Obstructive Pulmonary Disease Clinical Trial
Official title:
Compartmental Analysis of Metabolite Profiles Associated With Disease Phenotype in Smokers With and Without Chronic Obstructive Pulmonary Disease
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.
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.
The investigators hypothesize that: 1) smokers with COPD will have a metabolomics signature
that is distinct from healthy non-COPD smokers; 2) this signature will be associated with
clinically relevant manifestations of disease (e.g., GOLD classification, PFT).
The availability of biosamples from a well-characterized population of smokers with and
without COPD, combined with our established in-house metabolomics expertise, will robustly
allow to test these novel hypotheses. 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. Moreover, this strategy may identify previously unrecognized metabolic pathways
that are dysregulated in COPD. Collectively, these data will be used to direct a prospective
clinical study to determine the association between metabolomics signatures and clinical
outcomes.
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