摘要
目的 探讨多种因素与 2型糖尿病发生的关系。方法 对南京地区汉族 10 6例 2型糖尿病患者和 10 2例正常对照者解偶联蛋白 3(UCP3 )、激素敏感脂酶 (HSL)和蛋白酪氨酸磷酸化酶 1B(PTP 1B)基因的微卫星标记多态性进行分析 ,并结合临床参数进行多因素非条件logistic回归分析。结果 单因素非条件logistic回归分析结果有显著意义的变量为年龄 ,收缩压 ,空腹胰岛素 ,胆固醇 ,甘油三酯 ,高密度脂蛋白 ,低密度脂蛋白 ,载脂蛋白B ,脂蛋白 (α) ,UCP3 等位基因 1、3、6和 7,HSL等位基因 5和 9。多因素非条件logistic回归分析发现 ,2型糖尿病的发病与UCP3 等位基因 6和 7、收缩压、载脂蛋白B、脂蛋白 (α)呈正相关 ,与HSL等位基因 5、高密度脂蛋白呈负相关 ,均具有统计学意义。结论 UCP3 基因等位基因 6和 7、收缩压、载脂蛋白B、脂蛋白 (α)在南京地区汉族人群 2型糖尿病的发病中可能起一定的作用 ,而HSL基因等位基因 5。
Objective To explore the relationship between multivariate factors and type 2 diabetes mellitus. Methods Polymorphisms of microsatellite markers in uncoupling protein 3 (UCP 3)gene, hormone sensitive lipase (HSL) gene and protein tyrosine phosphatase 1B (PTP 1B) gene were tested in 106 patients with type 2 diabetes and 102 control subjects by performing polymerase chain reaction (PCR), polyacrylamide gel electrophoresis and silver staining. Multivariate logistic regression analysis was performed by all factors. Results Through univariate analysis, type 2 diabetes had significantly positive associations with age, systolic blood pressure (SBP), fasting insulin (FINS) level, cholesterol, triglyceride, low density lipoprotein, apolipoprotein B (ApoB), α lipoprotein, UCP 3 gene allele 6 , UCP 3 gene allele 7, HSL gene allele 9, and negative associations with UCP 3 gene allele 1 and 3, HSL gene allele 5,high density lipoprotein. The results of multivariate logistic analysis showed that UCP 3 gene allele 6, UCP 3 gene allele 7, SBP, ApoB, α lipoprotein were still positively related to type 2 diabetes, while HSL gene allele 5, high density lipoprotein were still negatively related to type 2 diabetes. Conclusion Our data showed that UCP 3 gene allele 6, UCP 3 gene allele 7,SBP, abnormity of plasma ApoB and α lipoprotein might play a role in the development of type 2 diabetes. HSL gene allele 5, high density lipoprotein might play some protective role in the development of type 2 diabetes.
出处
《中华流行病学杂志》
CAS
CSCD
北大核心
2001年第4期277-280,共4页
Chinese Journal of Epidemiology
基金
国家自然科学基金资助项目 (3 95 0 0 0 72 )
江苏省教委科研基金资助项目 (99KJB3 2 0 0 0 2 )