glycopatterns of urinary protein as new potential diagnosis indicators for diabetic nephropathy
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2017
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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 Siaα2-6Gal/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)2–4 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)2–4 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.
| Reference Key |
zhu2017journalglycopatterns
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| Authors | ;Hanyu Zhu;Moyan Liu;Hanjie Yu;Xiawei Liu;Yaogang Zhong;Jian Shu;Xinle Fu;Guangyan Cai;Xiangmei Chen;Wenjia Geng;Xiaoli Yang;Minghui Wu;Zheng Li;Dong Zhang |
| Journal | applied computer science |
| Year | 2017 |
| DOI |
10.1155/2017/5728087
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| URL | |
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