title: Metabolic syndrome and ADRB3 gene polymorphism in severely obese patients from South Italy.
abstract: OBJECTIVE
  To evaluate the prevalence of beta(3)-adrenergic receptor (ADRB3) Trp64Arg polymorphism and its relationship with the metabolic syndrome in severe obesity.
  
  
  METHODS
  Cross-sectional outpatients study.
  
  
  METHODS
  In 265 (100 men) severely obese non-diabetic subjects and 78 (25 men) healthy volunteers, genomic DNA was isolated from peripheral leukocytes. In obese patients, plasma concentrations of leptin, lipids, glucose and insulin, the homeostasis model assessment index and blood pressure have been measured. The Trp64Arg mutation was identified with the real-time TaqMan method.
  
  
  RESULTS
  Neither genotype distribution nor allele frequency differed between the two groups. The metabolic syndrome prevalence was 59% in obese subjects, and was higher in men than in women (65 vs 55%: P=0.03). The body mass index (BMI) was related to age tertiles (beta=0.08; P<0.001; multiple linear regression) in Trp64Arg-positive obese subjects.
  
  
  CONCLUSIONS
  We confirm the high prevalence of the metabolic syndrome among severely obese subjects. ADRB3 polymorphism was significantly related to insulin resistance only in obese male subjects. Moreover, increased BMI was related to age in obese subjects with the ADRB3 polymorphism.
authors.affiliation: Dipartimento SPES, Università del Molise, Campobasso, Italy.
authors.forename: R
authors.initials: R
authors.lastname: Bracale
authors.forename: F
authors.initials: F
authors.lastname: Pasanisi
authors.forename: G
authors.initials: G
authors.lastname: Labruna
authors.forename: C
authors.initials: C
authors.lastname: Finelli
authors.forename: C
authors.initials: C
authors.lastname: Nardelli
authors.forename: P
authors.initials: P
authors.lastname: Buono
authors.forename: G
authors.initials: G
authors.lastname: Salvatori
authors.forename: L
authors.initials: L
authors.lastname: Sacchetti
authors.forename: F
authors.initials: F
authors.lastname: Contaldo
authors.forename: G
authors.initials: G
authors.lastname: Oriani
mesh_terms: D000328:Adult; D000367:Age Factors; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D003430:Cross-Sectional Studies; D005260:Female; D005787:Gene Frequency; D020022:Genetic Predisposition to Disease; D005838:Genotype; D006801:Humans; D007328:Insulin / Q000097:blood; D007558:Italy / Q000453:epidemiology; D020738:Leptin / Q000097:blood; D007962:Leukocytes / Q000378:metabolism; D016014:Linear Models; D008055:Lipids / Q000097:blood; D008297:Male; D024821:Metabolic Syndrome / Q000453:epidemiology / Q000235:genetics*; D009154:Mutation; D009767:Obesity, Morbid / Q000097:blood / Q000150:complications* / Q000235:genetics; D011110:Polymorphism, Genetic; D022702:Receptors, Adrenergic, beta-3 / Q000235:genetics*; D012737:Sex Factors
chemical_list: D001786:Blood Glucose; D007328:Insulin; D020738:Leptin; D008055:Lipids; D022702:Receptors, Adrenergic, beta-3