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Biological Markers for Professional COPD

Centre Hospitalier Intercommunal Creteil · 2010
ClinicalTrials.gov · Datasets · License: Public Domain · 2010
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biomarkerscohortcopd
Chronic obstructive pulmonary disease (COPD) is a frequent disease, mainly linked to tobacco smoking leading to chronic respiratory failure. It is characterized by an inflammatory spate with modification of protease-antiprotease and oxidant-antioxydant balances. Local modifications are associated with systemic changes. Many occupational factors have been associated with an excess of COPD in epidemiological studies, however without identification of any specific clinical or biological phenotype. Pathophysiological pathways involved in COPD might be different according to etiologic agents. Therefore, it is important to focus research on blood biomarkers associated with some well-characterized occupational COPD. The objectives of MB2PROF project are: 1. To build the first multicentric cohort of cases of occupational COPD, with collection of plasma and DNA samples, 2. To study the evolution of clinical and lung function parameters of occupational COPD in comparison with non occupational COPD during a follow-up study, 3. To identify biological phenotypes of COPD associated to a given etiological agent. The methodology includes: 1. The constitution of a cohort with a clinical and biological follow-up during 5 years. Subjects will be recruited in 7 occupational diseases departments, with the collaboration of Pneumology departments. Four groups of males subjects will be recruited (G1 : occupational COPD (6 groups of 60 subjects, corresponding to 6 groups of occupational agents) ; G2 : non occupational COPD (n = 60) ; G3 : subjects with similar occupational exposure to G1 subjects but without COPD (6 groups of 60 subjects) ; G4 : subjects free of occupational exposure and of COPD (n = 60)), paired on tobacco-smoking and age. For each subject, information on clinical data, lung function parameters, occupation history and blood samples will be collected. 2. The identification of biomarkers, using proteomic and genomic approaches according to subgroups (with different
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