Gene Expressions and Polymorphisms of Novel Biomarkers in Diabetic Nephropathy

Suvarna Sanas, Yadav Ks
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引用次数: 1

Abstract

Introduction: The prevalence of metabolic syndrome and of type 2 diabetes is extremely pronounced in Asian countries, particularly in India. In 2015, over 0.9 million deaths in India were attributed to diabetes directly or indirectly and approximately 60-70% suffering from renal diseases. Materials and Methods: This study conducted at School of Medicine, D Y Patil University, Navi Mumbai included 241 type II diabetic patients with diabetic duration 3-5 years, between age 30-70 years. Blood samples were processed for renal parameters and RT-PCR to check the expressions and polymorphisms of IL-6, IL-10, CD 36 and LDLr. Results: Gene analysis of IL10, CD 36 and LDLr showed that IL10, it is expressed and seen mutation at 56 A mutated to T. In CD 36 expressions were seen and amplified region showed mutation at 67 T to C (heterozygous). In LDLr both expressions and mutations of base pairs seen in higher amounts and amplified region showed mutation at 329 C to CC; 350 A to G; 352 A to G; 353 A to G; 355 A to T; 356 G to T; 358 GG to T (deletion of one nucleotide) and 563 G to T. Conclusion: Relationship between T2DM microalbumin and lipid parameters were not decisive and may be superseded by gene expressions and polymorphisms of IL10, CD 36, and LDLr. Early measurement of polymorphisms and expressions may prevent morbidity and mortality after therapeutic intervention and lifestyle modification. Association of cytokines may help in the development of novel biomarkers to identify individuals at risk.
糖尿病肾病中新型生物标志物的基因表达和多态性
导读:代谢综合征和2型糖尿病的患病率在亚洲国家非常明显,特别是在印度。2015年,印度有90多万人直接或间接死于糖尿病,约60-70%的人患有肾脏疾病。材料与方法:本研究在新德里大学医学院进行,纳入241例糖尿病病程3-5年,年龄30-70岁的II型糖尿病患者。采集血样进行肾脏参数检测和RT-PCR检测IL-6、IL-10、cd36和LDLr的表达及多态性。结果:il - 10、cd36和LDLr基因分析显示,il - 10在56 A突变至T, cd36在67 T突变至C(杂合)。在LDLr中,碱基对的表达和突变在较高数量和扩增区域均在329 C至CC发生突变;350 A到G;352 A到G;353 A到G;355 A到T;356 G到T;结论:T2DM微白蛋白与脂质参数的关系不是决定性的,可能被IL10、cd36和LDLr的基因表达和多态性所取代。早期测量多态性和表达可以预防治疗干预和生活方式改变后的发病率和死亡率。细胞因子的关联可能有助于开发新的生物标志物来识别处于危险中的个体。
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