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10.1155/2017/5728087 http://scihub22266oqcxt.onion/10.1155/2017/5728087 C5376433!5376433!28401167     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       J+Diabetes+Res 2017 ; 2017 (ä): ä Nephropedia Template TP {{tp|p=28401167|t=2017. Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy |pdf=|usr=}}{{28401167}} gab.com Text Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy JO: J Diabetes Res http://www.kidney.de/pget.php?&tw=1&pmid=28401167 #FOAvip 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 Sia?2-6Gal/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. Twit Text FOAVip Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy ????J Diabetes Res http://www.kidney.de/pget.php?&tw=1&pmid=28401167 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28401167 #FOAvip English Wikipedia <ref>{{Cite pmid|28401167}}</ref> Glycopatterns of Urinary Protein as New Potential Diagnosis Indicators for Diabetic Nephropathy #MMPMID28401167 Zhu H; Liu M; Yu H; Liu X; Zhong Y; Shu J; Fu X; Cai G; Chen X; Geng W; Yang X; Wu M; Li Z; Zhang D J Diabetes Res 2017[]; 2017 (ä): ä PMID28401167show ga 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 Sia?2-6Gal/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. äGlycopatterns of Urinary Protein as New Potential Diagnosis Indicators(epmc).pdf DeepDyve Pubget Overpricing