Association of resistin rs1862513, rs10401670 and rs3745367 polymorphisms with resistin level and insulin resistance in an Iranian type 2 diabetic population

抵抗素rs1862513、rs10401670和rs3745367多态性与伊朗2型糖尿病人群中抵抗素水平和胰岛素抵抗的相关性

阅读:1

Abstract

OBJECTIVES: The study investigates the association of single nucleotide polymorphisms (SNP) in resistin gene (RETN) with resistin level, insulin resistance, and the risk of type 2 diabetes in an early diagnosed type 2 diabetic population of Iran. METHODS: The total of 80 healthy subjects and 80 individuals diagnosed with type 2 diabetes. To ascertain the genotypes of rs1862513 and rs3745367, we performed the polymerase chain reaction with restriction fragment length polymorphism (PCR-RFLP) technique. The genotyping of resistin rs10401670 was conducted a Tetra-arms amplification system. Resistin and insulin levels were also measured by the ELISA method. Statistical analyses were performed by SPSS software. RESULTS: Resistin level was increased significantly in patients with type 2 diabetes; a significant difference was seen in biochemical parameters between diabetic and non-diabetic group except high-density lipoprotein cholesterol (HDL-C), low density lipoprotein (LDL-C), and insulin. We did not find statistically a significant association between type 2 diabetes mellitus [T2DM] and resistin gene at SNP. However, rs3745367 exhibit a significant association with resistin level among individuals with diabetes. The serum resistin level exhibited a positive association level with body mass index, FPG and insulin resistance. Additionally, anegative correlation between resistin levels and age, as well as HDL-C was also revealed (P-value < 0.05). CONCLUSIONS: No significant association was observed between the rs1862513, rs10401670, and rs3745367 polymorphisms, with the susceptibility to type 2 diabetes. The serum resistin levels was positively correlated body with mass index, FPG and insulin resistance, but negatively correlated with HDL-C.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。