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[Multivariate logistic regression analysis on the risk factors of type 2 diabetes mellitus]
1Department of Endocriology, Second Affiliated Hospital of Nanjing Medical University, Nanjing 210011, China.
Objective:
To explore the relationship between multivariate factors and type 2 diabetes mellitus.
Methods:
Polymorphisms of microsatellite markers in uncoupling protein 3 (UCP3) 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), alpha lipoprotein, UCP3 gene allele 6, UCP3 gene allele 7, HSL gene allele 9, and negative associations with UCP3 gene allele 1 and 3, HSL gene allele 5, high-density lipoprotein. The results of multivariate logistic analysis showed that UCP3 gene allele 6, UCP3 gene allele 7, SBP, ApoB, alpha 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 UCP3 gene allele 6, UCP3 gene allele 7, SBP, abnormity of plasma ApoB and alpha 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.