title: CT scanning-based phenotypes vary with ADRB2 polymorphisms in chronic obstructive pulmonary disease.
abstract: BACKGROUND
  Chronic obstructive pulmonary disease (COPD) is a heterogeneous disease that is characterized by varying degrees of involvement of airway and lung parenchyma. Although cigarette smoke is the major risk factor for COPD, the principal determining factors of involvement of the airway or lung parenchyma have not been clearly defined. Genetic variability in COPD patients might influence the varying degrees of involvement of airway and parenchyma. We therefore studied whether airway and parenchyma involvement might be associated with the ADRB2 genotype, which has been reported to be associated with COPD susceptibility and the bronchodilator response.
  
  
  METHODS
  One hundred and eleven COPD subjects, whose post-bronchodilator FEV(1)/FVC values were less than 0.7, and who had histories of smoking exceeding 10 pack-years, were prospectively recruited from pulmonology clinics of 11 hospitals in Seoul, Korea. The degrees of involvement of airway and parenchyma were evaluated by volumetric computed tomography (CT) scans. In-house software automatically calculated luminal areas, airway wall areas, percentages of wall areas in segmental bronchi, emphysema indices, and mean lung densities in the whole lung parenchyma. The ADRB2 genotypes at codon 16 were determined for all patients.
  
  
  RESULTS
  Gly16 was associated with lumen diameter, luminal area, and percentage of wall area in patients with COPD (p=0.02), whereas neither wall area nor wall thickness differed with ADRB2 genotype. Neither emphysema index nor mean lung density was associated with ADRB2 genotype.
  
  
  CONCLUSIONS
  Gly16 variant in ADRB2 gene was associated with airway wall phenotypes measured using CT scanning in COPD patients.
authors.affiliation: Department of Internal Medicine, College of Medicine, Kangwon National University, Chuncheon, South Korea.
authors.forename: Woo Jin
authors.initials: WJ
authors.lastname: Kim
authors.forename: Yeon-Mok
authors.initials: YM
authors.lastname: Oh
authors.forename: Joohon
authors.initials: J
authors.lastname: Sung
authors.forename: Young Kyung
authors.initials: YK
authors.lastname: Lee
authors.forename: Joon Beom
authors.initials: JB
authors.lastname: Seo
authors.forename: NamKug
authors.initials: N
authors.lastname: Kim
authors.forename: Tae-Hyung
authors.initials: TH
authors.lastname: Kim
authors.forename: Jin Won
authors.initials: JW
authors.lastname: Huh
authors.forename: Ji-Hyun
authors.initials: JH
authors.lastname: Lee
authors.forename: Eun-Kyung
authors.initials: EK
authors.lastname: Kim
authors.forename: Jin Hwa
authors.initials: JH
authors.lastname: Lee
authors.forename: Sang-Min
authors.initials: SM
authors.lastname: Lee
authors.forename: Sangyeub
authors.initials: S
authors.lastname: Lee
authors.forename: Seong Yong
authors.initials: SY
authors.lastname: Lim
authors.forename: Tae Rim
authors.initials: TR
authors.lastname: Shin
authors.forename: Ho Il
authors.initials: HI
authors.lastname: Yoon
authors.forename: Sung-Youn
authors.initials: SY
authors.lastname: Kwon
authors.forename: Sang Do
authors.initials: SD
authors.lastname: Lee
mesh_terms: D000368:Aged; D000704:Analysis of Variance; D005260:Female; D005541:Forced Expiratory Volume; D005838:Genotype; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008168:Lung / Q000000981:diagnostic imaging* / Q000503:physiopathology; D008297:Male; D008875:Middle Aged; D010641:Phenotype; D011110:Polymorphism, Genetic; D029424:Pulmonary Disease, Chronic Obstructive / Q000000981:diagnostic imaging* / Q000235:genetics* / Q000503:physiopathology; D018343:Receptors, Adrenergic, beta-2 / Q000235:genetics*; D012306:Risk; D012907:Smoking / Q000473:pathology; D014057:Tomography, X-Ray Computed
chemical_list: D018343:Receptors, Adrenergic, beta-2