Banerjee M, Vats P, Kushwah A S, Srivastava N
Molecular & Human Genetics Laboratory, Department of Zoology, University of Lucknow, Lucknow, Uttar Pradesh, India.
Department of Zoology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Br J Biomed Sci. 2019 Oct;76(4):166-171. doi: 10.1080/09674845.2019.1595869. Epub 2019 May 21.
: Diabetes is the seventh most common disease leading to death with a global estimate of 425 million diabetics, expected to be 629 million in 2045. The role of reactive metabolites and antioxidants, such as glutathione, glutathione peroxidase, superoxide dismutase and catalase in type 2 diabetes mellitus (T2DM) provides an opportunity for identifying gene variants and risk genotypes. We hypothesised that certain antioxidant gene-gene interactions are linked with T2DM and can model disease risk prediction.: Genotyping of single nucleotide polymorphisms (SNPs) in antioxidant genes for glutathione (), glutathione peroxidase (), superoxide dismutase () and catalase (CAT) was performed in 558 T2DMs and 410 age and sex matched healthy controls by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP), routine lab indices by standard techniques.: The null/null allele combination of del and del increased disease risk up to 1.7-fold. The combination of SNPs in del, del, + 313A/G and in -21A/T, + 47C/T, + 599C/T increased the risk of diabetes 13.5 and 2.1-fold, respectively. Interaction of SNPs del, del, + 313A/G (105Ile/Val), -21A/T, + 47C/T, + 599C/T were significantly linked with disease risk >5 × 10 fold.: As the number of gene combinations increase, there is a rise in the odds ratio of disease risk, suggesting that gene-gene interaction plays an important role in T2DM susceptibility. Individuals who possess the del, del, 105I/V(+313A/G), -21A/T, + 47C/T and + 599C/T are at very high risk of developing T2DM.
糖尿病是导致死亡的第七大常见疾病,全球估计有4.25亿糖尿病患者,预计到2045年将达6.29亿。活性代谢产物和抗氧化剂(如谷胱甘肽、谷胱甘肽过氧化物酶、超氧化物歧化酶和过氧化氢酶)在2型糖尿病(T2DM)中的作用为识别基因变异和风险基因型提供了机会。我们假设某些抗氧化剂基因-基因相互作用与T2DM相关联,并可用于建立疾病风险预测模型。
通过聚合酶链反应-限制性片段长度多态性(PCR-RFLP)对558例T2DM患者和410例年龄及性别匹配的健康对照者进行谷胱甘肽()、谷胱甘肽过氧化物酶()、超氧化物歧化酶()和过氧化氢酶(CAT)抗氧化基因单核苷酸多态性(SNP)的基因分型,采用标准技术检测常规实验室指标。
del和del的无效/无效等位基因组合使疾病风险增加至1.7倍。del、del、+313A/G以及-21A/T、+47C/T、+599C/T中的SNP组合分别使糖尿病风险增加13.5倍和2.1倍。del、del、+313A/G(105Ile/Val)、-21A/T、+47C/T、+599C/T的SNP相互作用与疾病风险显著相关,>5×10倍。
随着基因组合数量的增加,疾病风险的优势比上升,表明基因-基因相互作用在T2DM易感性中起重要作用。携带del、del、105I/V(+313A/G)、-21A/T、+47C/T和+599C/T的个体患T2DM的风险非常高。