PTPN1多态性对2型糖尿病患者的影响:一项基于thanjavur的研究

Deepthi Somasekharan, Thirunavukkarasu Arunachalam
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摘要

2型糖尿病是一种多因素和多基因疾病,涉及胰岛素抵抗和葡萄糖受损诱导的胰岛素释放。除了环境因素外,基因变化的影响也会导致该病的易感性。影响葡萄糖代谢的一个有吸引力的候选基因是编码蛋白酪氨酸磷酸酶1B (PTPN1)的基因,位于20号染色体上。该基因产物通过去磷酸化胰岛素受体激酶激活片段的磷酸酪氨酸残基来负性调节胰岛素信号。本研究检测了印度Thanjavur当地人群中PTPN1基因等位基因多态性之一(- 1023C/A)与2型糖尿病之间的关系。采用基于聚合酶链反应的限制性片段长度多态性对96例糖尿病患者和96例非糖尿病患者进行基因型分析。与对照人群相比,−1023C>A多态性纯合子型等位基因A的频率较低(19%)。在基于体重指数(BMI)的分类中,BMI低于30的参与者不存在纯合子A等位基因,但在4个变异等位基因的对照中存在。用卡方分析来确定多态性与疾病的显著相关性。在研究人群中没有统计学意义;该结果可能在未来通过分析更大的样本量来验证。
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Influence of PTPN1 polymorphism among people with type 2 diabetes: A Thanjavur-based study

Type 2 diabetes is a multifactorial and polygenic disease that involves insulin resistance and impaired glucose induced insulin release. Besides environmental factors, the influence of genetic changes also drives the susceptibility of the disease. One such attractive candidate gene influencing the glucose metabolism is the gene encoding for protein tyrosine phosphatase 1B (PTPN1), located on the chromosome 20. The gene product is negatively regulating the insulin signaling by dephosphorylating the phosphotyrosine residues of the insulin receptor kinase activation segment. This study examined the association between one of the allelic polymorphisms (−1023C/A) in PTPN1 gene with type 2 diabetes in the local population of Thanjavur, India. Genotypic analysis was performed on 96 diabetic and 96 non-diabetic patients using polymerase chain reaction–based restriction fragment length polymorphism. The frequency of allele A in the homozygous form of −1023C>A polymorphism was found to be lesser (19%) when compared with the control population. In the body mass index (BMI)-based classification, the homozygous A allele was absent in case participants with BMIs lower than 30 but it was present in four of the controls with variant allele. Chi square were used to determine out the significant association of the polymorphism with the disease. There was no statistical significance obtained for the studied population; the result may be validated by analyzing larger sample size in the future.

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