title: Profiling serum biomarkers in patients with COPD: associations with clinical parameters.
abstract: BACKGROUND
  Chronic obstructive pulmonary disease (COPD) is an inflammatory lung disease associated with significant systemic consequences. Recognition of the systemic manifestations has stimulated interest in identifying circulating biomarkers in these patients. A systematic analysis was undertaken of multiple protein analytes in the serum of well characterised patients with COPD and matched controls using novel protein microarray platform (PMP) technology.
  
  
  METHODS
  Forty-eight patients (65% men) with COPD (forced expiratory volume in 1 s <55%) and 48 matched controls were studied. Anthropometric parameters, pulmonary function tests, 6-minute walk distance, the BODE index and the number of exacerbations were measured and the association of these outcomes with the baseline levels of 143 serum biomarkers measured by PMP was explored.
  
  
  RESULTS
  Thirty biomarker clusters were identified and ranked by computing the predictive value of each cluster for COPD (partial least squares discriminant analysis). From the 19 best predictive clusters, 2-3 biomarkers were selected based on their pathophysiological profile (chemoattractants, inflammation, tissue destruction and repair) and the statistical significance of their relationship with clinically important end points was tested. The selected panel of 24 biomarkers correlated (p<0.01) with forced expiratory volume in 1 s, carbon monoxide transfer factor, 6-minute walk distance, BODE index and exacerbation frequency.
  
  
  CONCLUSIONS
  PMP technology can be useful in identifying potential biomarkers in patients with COPD. Panels of selected serum markers are associated with important clinical predictors of outcome in these patients.
authors.affiliation: Caritas St Elizabeth's Medical Center, 736 Cambridge Street, Boston, Massachusetts 02135, USA.
authors.forename: Victor
authors.initials: V
authors.lastname: Pinto-Plata
authors.forename: John
authors.initials: J
authors.lastname: Toso
authors.forename: Kwan
authors.initials: K
authors.lastname: Lee
authors.forename: Daniel
authors.initials: D
authors.lastname: Park
authors.forename: John
authors.initials: J
authors.lastname: Bilello
authors.forename: Hana
authors.initials: H
authors.lastname: Mullerova
authors.forename: Mary M
authors.initials: MM
authors.lastname: De Souza
authors.forename: Rupert
authors.initials: R
authors.lastname: Vessey
authors.forename: Bartolome
authors.initials: B
authors.lastname: Celli
mesh_terms: D015415:Biomarkers / Q000097:blood*; D015992:Body Mass Index; D016022:Case-Control Studies; D005260:Female; D005541:Forced Expiratory Volume / Q000502:physiology; D006801:Humans; D008297:Male; D046228:Microarray Analysis / Q000379:methods; D008875:Middle Aged; D029424:Pulmonary Disease, Chronic Obstructive / Q000175:diagnosis* / Q000503:physiopathology
chemical_list: D015415:Biomarkers