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尿蛋白糖型作为糖尿病肾病新的潜在诊断指标

Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy.

作者信息

Zhu Hanyu, Liu Moyan, Yu Hanjie, Liu Xiawei, Zhong Yaogang, Shu Jian, Fu Xinle, Cai Guangyan, Chen Xiangmei, Geng Wenjia, Yang Xiaoli, Wu Minghui, Li Zheng, Zhang Dong

机构信息

Department of Nephrology, Chinese PLA General Hospital, Chinese PLA Institute of Nephrology, State Key Laboratory of Kidney Diseases, National Clinical Research Center of Kidney Diseases, Beijing Key Laboratory of Kidney Disease, Beijing, China.

Department of Nephrology, General Hospital of Jinan Military Command, Jinan, China.

出版信息

J Diabetes Res. 2017;2017:5728087. doi: 10.1155/2017/5728087. Epub 2017 Mar 19.

Abstract

Diabetic nephropathy is a major cause of chronic kidney disease and end-stage kidney disease. However, so little is known about alterations of the glycopatterns in urine with the development of diabetic nephropathy. Presently, we interrogated glycopatterns in urine specimens using a lectin microarray. The results showed that expression levels of Sia2-6Gal/GalNAc recognized by SNA exhibited significantly increased tendency with the development of diabetic nephropathy; moreover, SNA blotting indicated glycoproteins (90 kDa, 70 kDa, and 40 kDa) in urine may contribute to this alteration. Furthermore, the glycopatterns of (GlcNAc) recognized by STL exhibited difference between diabetic and nondiabetic nephropathy. The results of urinary protein microarray fabricated by another 48 urine specimens also indicated (GlcNAc) is a potential indictor to differentiate the patients with diabetic nephropathy from nondiabetic nephropathy. Furtherly, STL blotting showed that the 50 kDa glycoproteins were correlated with this alteration. In conclusion, our data provide pivotal information to monitor the development of diabetic nephropathy and distinguish between diabetic nephropathy and nondiabetic renal disease based on precise alterations of glycopatterns in urinary proteins, but further studies are needed in this regard.

摘要

糖尿病肾病是慢性肾脏病和终末期肾病的主要病因。然而,关于糖尿病肾病发展过程中尿糖模式的改变却知之甚少。目前,我们使用凝集素微阵列检测了尿液标本中的糖模式。结果显示,随着糖尿病肾病的发展,被SNA识别的Sia2-6Gal/GalNAc的表达水平呈现出显著增加的趋势;此外,SNA印迹法表明尿液中的糖蛋白(90 kDa、70 kDa和40 kDa)可能导致了这种改变。此外,被STL识别的(GlcNAc)的糖模式在糖尿病肾病和非糖尿病肾病之间存在差异。由另外48份尿液标本制成的尿蛋白微阵列结果也表明,(GlcNAc)是区分糖尿病肾病患者和非糖尿病肾病患者的潜在指标。此外,STL印迹法显示50 kDa的糖蛋白与这种改变相关。总之,我们的数据为基于尿蛋白糖模式的精确改变来监测糖尿病肾病的发展以及区分糖尿病肾病和非糖尿病肾病提供了关键信息,但在这方面还需要进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ec2/5376433/8072392488ea/JDR2017-5728087.001.jpg

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