The relationship between some SLC30A8 gene polymorphisms and fasting blood sugar and HOMA-IR in patients with type 2 diabetes in an Iranian population in the east of Mazandaran province
Subject Areas : applied chemistry
Mehran Ahmadi
1
(PhD., student, Department of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.)
Abdolkarim Mahrooz
2
(Ph.D., Immunogenetics Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran )
Saeid Abedian Kenari
3
(Ph.D., Immunogenetics Research Center, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran)
Nasim Hayati Roodbari
4
(Associate Professor, Department of Biology, Faculty of Convergent Sciences and Technologies, Science and Research Branch, Islamic Azad University, Tehran, Iran)
Keywords: Type 2 diabetes, SLC30A8, rs13266634, rs11558471, Insulin, Single nucleotide polymorphism, Blood sugar,
Abstract :
Objective: Several studies have reported the role of genetic polymorphisms in the onset and development of type 2 diabetes. SLC30A8 is one of the loci containing polymorphism that is associated with the risk of type 2 diabetes. This gene encodes zinc transporter (ZnT8). In this research, the relationship of some polymorphisms of this gene with fasting blood sugar level and HOMA-IR in patients with type 2 diabetes in a population from the east of Mazandaran province was investigated.
Materials and methods: 133 patients with type 2 diabetes and 128 controls
were evaluated in this study. Insulin and fasting blood glucose levels were used to determine HOMA-IR. RFLP-PCR was used to identify rs13266634 and rs11558471 polymorphisms.
Findings: The results showed that for rs11558471 polymorphism, both fasting glucose and HOMA-IR were higher in GA+AA group compared to GG homozygotes (p<0.001). Also, for rs13266634 polymorphism, both fasting glucose and HOMA-IR were higher in CT+CC group compared to TT homozygotes (p<0.001).
Conclusion: The results of this study showed that rs13266634 and rs11558471 polymorphisms are related to blood sugar characteristics in this Iranian population with type 2 diabetes. This association may be useful for identifying individuals at high risk of developing type 2 diabetes. Of course, to better understand this relationship, it is necessary to study these polymorphisms in other populations with a larger sample size.
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