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Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy
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 microarra...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376433/ https://www.ncbi.nlm.nih.gov/pubmed/28401167 http://dx.doi.org/10.1155/2017/5728087 |
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author | 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 |
author_facet | 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 |
author_sort | Zhu, Hanyu |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5376433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-53764332017-04-11 Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy 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 J Diabetes Res Research Article 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. Hindawi 2017 2017-03-19 /pmc/articles/PMC5376433/ /pubmed/28401167 http://dx.doi.org/10.1155/2017/5728087 Text en Copyright © 2017 Hanyu Zhu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article 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 Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title | Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title_full | Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title_fullStr | Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title_full_unstemmed | Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title_short | Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |
title_sort | glycopatterns of urinary protein as new potential diagnosis indicators for diabetic nephropathy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5376433/ https://www.ncbi.nlm.nih.gov/pubmed/28401167 http://dx.doi.org/10.1155/2017/5728087 |
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