β3-Adrenergic receptor gene polymorphism and type 2 diabetes in a Caucasian population

Oeveren van-Dybicz, A.M. and Vonkeman, H.E. and Bon, M.A.M. and Bergh van den, F.A.J.T.M. and Vermes, I. (2008) β3-Adrenergic receptor gene polymorphism and type 2 diabetes in a Caucasian population. Diabetes, Obesity and Metabolism, 3 (1). pp. 47-51. ISSN 1462-8902

PDF
Restricted to UT campus only: Request a copy
70Kb

Abstract:	Aim: The β3-adrenergic receptor (β3-AR) is suspected to play a key role in the regulation of energy balance by increasing lipolysis and thermogenesis. A mutation in the β3-AR gene (Trp64Arg) has been associated with the capacity of weight gain and with early onset of noninsulin dependent diabetes mellitus (type 2 diabetes). In this study we investigated the prevalence of the two β3-AR alleles in a Caucasian population and studied the association between the β3-AR genotype and metabolic disorders (obesity and type 2 diabetes). - Methods: Genomic DNA extracted from peripheral blood leucocytes of 200 Caucasian subjects (137 subjects with and 63 subjects without type 2 diabetes). The MvaI polymorphism of β3-AR, which detects the Trp64Arg mutation, was determined by polymerase chain reaction (PCR). We studied the correlation between the Trp64Arg mutation and the body mass index (b.m.i. kg/m2). - Results: There was no significant difference between the patients with type 2 diabetes and control subjects in the frequency of the Arg64 allele (5.5% and 4.8%, respectively). Within the group of type 2 diabetes patients were 14 subjects with the Trp64Arg mutation (b.m.i., mean ± s.d.: 31 ± 8.5 kg/m2) and 123 without the mutation (b.m.i. 29 ± 4.8). There was no association between the β3-AR gene polymorphism and sex, obesity, blood pressure, glycohaemoglobin concentration, proteinuria. - Conclusion: Our results suggest that the Trp64Arg mutation is not a major determinant of metabolic disorders (type 2 diabetes, obesity) and chronic complications of type 2 diabetes in a Dutch population
Item Type:	Article
Copyright:	© 2008 Wiley
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Biomedical and Environmental Sensor systems (BIOS)
Link to this item:	http://purl.utwente.nl/publications/72549
Official URL:	http://dx.doi.org/10.1046/j.1463-1326.2001.00121.x
Export this item as:	BibTeX EndNote HTML Citation Reference Manager

Show download statistics for this publication

Repository Staff Only: item control page