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ID 52861
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Author
Inoue, Kentaro
Terami, Takahiro
Katayama, Akihiro
Tone, Atsuhito
Iseda, Izumi
Hida, Kazuyuki
Yamada, Masao
Ogawa, Tomohisa
Abstract
We analyzed the urine samples of patients with type 2 diabetes at various stages of diabetic nephropathy by lectin microarray to identify a biomarker to predict the progression of diabetic nephropathy. Japanese patients with type 2 diabetes at various stages of nephropathy were enrolled and we performed lectin microarray analyses (n = 17) and measured urinary excretion of fetuin-A (n = 85). The increased signals of urine samples were observed in Sia alpha 2-6Gal/GalNAc-binding lectins (SNA, SSA, TJA-I) during the progression of diabetic nephropathy. We next isolated sialylated glycoproteins by using SSA-lectin affinity chromatography and identified fetuin-A by liquid chromatography-tandem mass spectrometer. Urinary excretion of fetuin-A significantly increased during the progression of albuminuria (A1, 0.40 +/- 0.43; A2, 0.60 +/- 0.53; A3 1.57 +/- 1.13 ng/gCr; p = 7.29x10(-8)) and of GFR stages (G1, 0.39 +/- 0.39; G2, 0.49 +/- 0.45; G3, 1.25 +/- 1.18; G4, 1.34 +/- 0.80 ng/gCr; p = 3.89x10(-4)). Multivariate logistic regression analysis was employed to assess fetuin-A as a risk for diabetic nephropathy with microalbuminuria or GFR<60 mL/min. Fetuin-A is demonstrated as a risk factor for both microalbuminuria and reduction of GFR in diabetic nephropathy with the odds ratio of 4.721 (1.881-11.844) and 3.739 (1.785-7.841), respectively. Collectively, the glycan profiling analysis is useful method to identify the urine biomarkers and fetuin-A is a candidate to predict the progression of diabetic nephropathy.
Published Date
2013-10-15
Publication Title
PLoS ONE
Volume
volume8
Issue
issue10
Publisher
Public Library Science
ISSN
1932-6203
Content Type
Journal Article
Related Url
http://ousar.lib.okayama-u.ac.jp/metadata/52832
language
英語
Copyright Holders
© 2013 Inoue et al.
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publisher
Refereed
True
DOI
Web of Sience KeyUT