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Clinical Trial Summary

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.


Clinical Trial 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. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT00655694
Study type Observational
Source Imperial College London
Contact
Status Withdrawn
Phase
Start date January 2005
Completion date September 2007

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