Previously published online at DOI: 10.1373/clinchem.2007.088260 Background: Identification of markers for prediction of the clinical course of diabetic nephropathy remains a major challenge in disease management. We established a proteomics approach for identification of diabetic nephropathy-related biomarkers in urine. Methods: We used SELDI-TOF mass spectrometry and SAX2 protein arrays to compare protein profiles from urine of 4 defined patient groups. Samples from patients with type 2 diabetes (DM; n � 45) without nephropathy and without microalbuminuria (DM-WNP), patients with DM with macro- or microalbuminuria (DM-NP; n � 38), patients with proteinuria due to nondiabetic renal disease (n � 34), and healthy controls (n � 45) were analyzed. Anionic exchange, reversedphas
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