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Diagnostic potential of serum protein pattern in Type 2 diabetic nephropathy

Aims  Microalbuminuria is the earliest clinical sign of diabetic nephropathy (DN). However, the multifactorial nature of DN supports the application of combined markers as a diagnostic tool. Thus, another screening approach, such as protein profiling, is required for accurate diagnosis. Surface enha...

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Bibliographic Details
Published in:Diabetic medicine 2007-12, Vol.24 (12), p.1386-1392
Main Authors: Yang, Y-H., Zhang, S., Cui, J-F., Lu, B., Dong, X-H., Song, X-Y., Liu, Y-K., Zhu, X-X., Hu, R-M.
Format: Article
Language:English
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Summary:Aims  Microalbuminuria is the earliest clinical sign of diabetic nephropathy (DN). However, the multifactorial nature of DN supports the application of combined markers as a diagnostic tool. Thus, another screening approach, such as protein profiling, is required for accurate diagnosis. Surface enhanced laser desorption/ionization time‐of‐flight mass spectrometry (SELDI‐TOF‐MS) is a novel method for biomarker discovery. We aimed to use SELDI and bioinformatics to define and validate a DN‐specific protein pattern in serum. Methods  SELDI was used to obtain protein or polypeptide patterns from serum samples of 65 patients with DN and 65 non‐DN subjects. From signatures of protein/polypeptide mass, a decision tree model was established for diagnosing the presence of DN. We estimated the proportion of correct classifications from the model by applying it to a masked group of 22 patients with DN and 28 non‐DN subjects. The weak cationic exchange (CM10) ProteinChip arrays were performed on a ProteinChip PBS IIC reader. Results  The intensities of 22 detected peaks appeared up‐regulated, whereas 24 peaks were down‐regulated more than twofold (P 
ISSN:0742-3071
1464-5491
DOI:10.1111/j.1464-5491.2007.02312.x