title: Relation of Trp64Arg polymorphism of beta3-adrenoreceptor gene with cardiovascular risk factors in presurgical morbidly obese patients.
abstract: BACKGROUND
  Genetic background of presurgical morbidly obese patients may have an influence on follow-up and outcome. A genetic variant is the Trp64Arg missense mutation in the beta3-adrenoreceptor (beta3-AR) gene.
  
  
  METHODS
  We investigated the influence of the Trp64Arg polymorphism in the beta3-AR gene on adipocytokines and cardiovascular risk factors in presurgical morbidly obese patients. A population of 56 presurgical morbidly obese patients was analyzed. Indirect calorimetry, tetrapolar bioimpedance, blood pressure, serial assessment of nutritional intake with a 3-day written food record, and biochemical parameters were measured. Genotype of beta3-AR gene polymorphism (Trp64Arg) was studied.
  
  
  RESULTS
  Mean age was 50.2+/-4.2 years and mean BMI was 46.8+/-4.7 with 11 males (19.6%) and 45 females (80.4%). There were 45 patients (9 males/36 females) (80.4%) who had the genotype Trp64/Trp64 (wild-type group) with an average age of 53.2+/-14 years, and there were 11 patients (2 males/9 females) Trp64/Arg64 (19.6%) (mutant group) with an average age of 47.7+/-15.6 years. In the mutant group, body mass index (BMI), weight, fat mass, waist circumference, total cholesterol, low-density lipoprotein (LDL) cholesterol, triglycerides, fibrinogen, and C-reactive protein (CRP) were higher than wild-type group. Adipocytokine levels were similar in both groups.
  
  
  CONCLUSIONS
  In the mutant group of beta3-AR gene (Trp64/Arg64), presurgical morbidly obese patients have a poorer inflammatory profile, lipid profile and fat distribution than wild-type group. Perhaps a future presurgical evaluation of morbidly obese patients would be necessary for genetic profiling.
authors.affiliation: Institute of Endocrinology and Nutrition, School of Medicine and Unit of Investigation, Hospital Rio Hortega, University of Valladolid, Valladolid, Spain. dadluis@yahoo.es
authors.forename: Daniel A
authors.initials: DA
authors.lastname: de Luis
authors.forename: Rocio
authors.initials: R
authors.lastname: Aller
authors.forename: Olatz
authors.initials: O
authors.lastname: Izaola
authors.forename: Manuel
authors.initials: M
authors.lastname: Gonzalez-Sagrado
authors.forename: Rosa
authors.initials: R
authors.lastname: Conde
mesh_terms: D054392:Adipokines / Q000097:blood; D000328:Adult; D000368:Aged; D000818:Animals; D001120:Arginine / Q000378:metabolism; D001835:Body Weight; D002153:Calorimetry, Indirect; D002318:Cardiovascular Diseases / Q000235:genetics*; D004032:Diet; D005260:Female; D013502:General Surgery; D006801:Humans; D008297:Male; D008875:Middle Aged; D009765:Obesity / Q000097:blood / Q000235:genetics*; D011110:Polymorphism, Genetic; D022702:Receptors, Adrenergic, beta-3 / Q000235:genetics*; D012307:Risk Factors; D014364:Tryptophan / Q000378:metabolism
chemical_list: D054392:Adipokines; D022702:Receptors, Adrenergic, beta-3; D014364:Tryptophan; D001120:Arginine