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Chronic obstructive pulmonary disease (COPD) is a chronic disease characterized by progressive airflow obstruction, chronic cough and dyspnoea in advanced stages.
We hope to develop a better understanding of lung disease. Information from these studies will only be used for research purposes, to help develop safer and more effective treatments for asthma and COPD.
Full description
Techniques such as genomics, proteomics and metabonomics, Technologies that aim to identify and quantify the dynamic set of all small molecules and metabolites present in an organism or a biological sample, offer the prospect of efficiently distinguishing individuals with particular diseases. The advantages of proteomics and metabonomics is that it can be carried out on a standard preparation of serum, plasma or urine, circumventing the need for specialist preparation of cellular mRNA required for genomics This methodology is based on mass spectrometry (MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR) to analyze metabolites. High-performance liquid chromatography (HPLC) may also be applied. Several peak alignment algorithms have been developed to match the chromatograms before applying pattern recognition. Based on the pattern recognition, several potential biomarkers may be found and further identified by MS.. Finally, a number of potential biomarkers will be identified for distinguishing asthma and COPD.
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Inclusion criteria
Inclusion Criteria - Healthy non-smokers
Inclusion Criteria - healthy smokers
Inclusion Criteria - asthmatics
Exclusion criteria
Exclusion Criteria - Healthy non-smokers
Exclusion Criteria - healthy smokers
Exclusion Criteria - asthmatics
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Data sourced from clinicaltrials.gov
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