title: The association of adiponectin with computed tomography phenotypes in chronic obstructive pulmonary disease.
abstract: BACKGROUND
  Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder associated with systemic manifestations that contribute to its morbidity and mortality. Recent work suggests that biomarker signatures in the blood may be useful in evaluating COPD phenotypes and may provide insight into the pathophysiology of systemic manifestations. Adiponectin, primarily produced by fat cells, has been implicated in the pathophysiology of emphysema.
  
  
  OBJECTIVE
  To investigate the association of adiponectin with clinical and radiologic COPD phenotypes.
  
  
  METHODS
  Adiponectin levels were determined in 633 individuals, including 432 individuals with COPD from a cohort of former or current smokers enrolled in the COPDGene study. Univariate and multiple regression analysis were used to examine the association of adiponectin with clinical and physiologic data together with quantitative high-resolution computed tomography parameters.
  
  
  RESULTS
  Multiple regression analysis confirmed that higher plasma adiponectin levels were independently associated with emphysema, decreasing body mass index, female sex, older age, and lower percentage change in prebronchodilator/post-bronchodilator FEV1.
  
  
  CONCLUSIONS
  The association between plasma adiponectin and computed tomography-assessed emphysema suggests a contribution of adiponectin to the development of emphysema and highlights a role for metabolic derangements in the pathophysiology of emphysema.
authors.affiliation: Department of Medicine, National Jewish Health, Denver, Colorado, USA.
authors.forename: Brendan J
authors.initials: BJ
authors.lastname: Carolan
authors.forename: Yu-il
authors.initials: YI
authors.lastname: Kim
authors.forename: André A
authors.initials: AA
authors.lastname: Williams
authors.forename: Katerina
authors.initials: K
authors.lastname: Kechris
authors.forename: Sharon
authors.initials: S
authors.lastname: Lutz
authors.forename: Nichole
authors.initials: N
authors.lastname: Reisdorph
authors.forename: Russell P
authors.initials: RP
authors.lastname: Bowler
mesh_terms: D052242:Adiponectin / Q000097:blood*; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D015415:Biomarkers / Q000097:blood; D015992:Body Mass Index; D016022:Case-Control Studies; D004646:Emphysema / Q000097:blood / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D008168:Lung / Q000000981:diagnostic imaging; D008297:Male; D008875:Middle Aged; D010641:Phenotype; D029424:Pulmonary Disease, Chronic Obstructive / Q000097:blood* / Q000000981:diagnostic imaging; D012044:Regression Analysis; D012737:Sex Factors; D018709:Statistics, Nonparametric; D014057:Tomography, X-Ray Computed
chemical_list: D052242:Adiponectin; D015415:Biomarkers