Abstract

BackgroundThe beta-3 adrenergic receptor (β3-AR) Trp64Arg and uncoupling protein 1 (UCP1) -3826 A > G polymorphisms have been reported to be associated with obesity and/or lipid metabolism in some populations. This study examined the possible association of the β3-AR and UCP1 polymorphisms with overweight/obesity or lipid variation in a Southwest Chinese population.MethodsA total of 418 Han Chinese (249 overweight/obese and 169 healthy control subjects) in the Chengdu area were studied using PCR-RFLP analysis. Total serum cholesterol (TC) and triglycerides (TGs) were measured using an enzymatic method. High density lipoprotein cholesterol (HDL-C) was determined after sodium phosphotungstate/magnesium chloride precipitation of low-density lipoproteins by polyvinyl sulfate. Serum apolipoproteins were quantified by radial immunodiffusion.ResultsThe genotype and allele frequencies of the β3-AR Trp64Arg and UCP1 -3826 A > G polymorphisms in overweight/obese subjects exhibited no significant differences compared to the controls. However, subjects carrying the β3-AR TrpTrp genotype and UCP1 AG genotype had higher TG levels than those carrying the Arg allele and AA genotype, respectively (P < 0.05), while controls carrying the β3-AR Arg allele had significantly higher TC and apo AII concentrations than those carrying the TrpTrp genotype (P < 0.05). Additionally, subjects carrying the UCP1 AG genotype exhibited elevated apo C-II and apo C-III levels compared to those carrying the AA genotype (P < 0.05). We were unable to find an association of the UCP1 and β3-AR polymorphisms with low HDL-cholesterolemia in the overweight/obese subjects.ConclusionsThe present study provides evidence that the β3-AR Trp64Arg and UCP1 -3826 A > G polymorphisms are associated with TG levels in overweight/obese Chinese subjects and that the two polymorphisms are also associated with certain lipid and apolipoprotein variations, depending on BMI. However, these polymorphisms are not associated with overweight/obesity or low HDL-cholesterolemia in a Chinese population from the Chengdu area.

Highlights

  • The beta-3 adrenergic receptor (β3-AR) Trp64Arg and uncoupling protein 1 (UCP1) -3826 A > G polymorphisms have been reported to be associated with obesity and/or lipid metabolism in some populations

  • Several studies have suggested that the UCP1 -3826 A > G and Beta-3 adrenergic receptor (β3-AR) Trp64Arg polymorphisms are related to low HDL-cholesterolemia and HDL-cholesterol levels in some populations [16,17,18,19,20]

  • Our results in the Chinese cohort living in Southwest China showed that both the polymorphisms in the β3-AR and UCP1 genes were associated with the Arg allele carriers (TG) concentrations in overweight/obese subjects and that the two polymorphisms were associated with some lipid and apolipoprotein levels (i.e., Total serum cholesterol (TC), apoAII, apo CII and apo CIII levels) depending on Body mass index (BMI)

Read more

Summary

Introduction

The beta-3 adrenergic receptor (β3-AR) Trp64Arg and uncoupling protein 1 (UCP1) -3826 A > G polymorphisms have been reported to be associated with obesity and/or lipid metabolism in some populations. This study examined the possible association of the β3-AR and UCP1 polymorphisms with overweight/obesity or lipid variation in a Southwest Chinese population. Obesity is strongly associated with an adverse dyslipidemic profile and increased risks for diabetes, hypertension, and coronary artery disease. This relationship has been described in detail, its pathophysiological basis remains unclear. No data concerning the relationships between the β3-AR Trp64Arg and UCP1 -3826A > G polymorphisms and overweight/obesity and lipid profiles have been reported for a Southwest Chinese population. We undertook this populationbased study to assess whether the β3-AR Trp64Arg and UCP1 -3826 A > G polymorphisms were related to overweight/obesity and lipid profiles in a Southwest Chinese population

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call