Differential urinary glycoproteome analysis of type 2 diabetic nephropathy using 2D-LC–MS/MS and iTRAQ quantification

• DOI: 10.1186/s12967-015-0712-9
• Publication Date: 2015-11-25T12:21:05Z
• Authors: Zhengguang Guo; Xuejiao Liu; Menglin Li; Chen Shao; Jianling Tao; Wei Sun; Mingxi Li
• Keywords: Microalbuminuria; Albuminuria

Diabetic nephropathy (DN) is the leading cause of chronic kidney failure and end-stage disease. More accurate non-invasive test for diagnosis monitoring progression DN urgently needed better care such patients. In this study we utilized urinary glycoproteome to discover differential proteins during course type 2 DN. The glycoproteins from normal controls, normalbuminuira, microalbuminura, macroalbuminuria patients were enriched by concanavalin A (ConA) analyzed 2DLC/MS/MS isobaric tags relative absolute quantitation quantification. total 478 identified 408 annotated as N-linked glycoproteins. 72, 107 123 in normalbuminuria, microalbuminuria macroalbuminuria, respectively. By bioinformatics analysis, normalbuminruia state, cell proliferation movement activated, which might reflect compensatory phase disease development. micro- macro-albuminuria, death apoptosis was de-compensatory phase. Pathway analysis showed acute proteins, member high density lipoprotein low changed, indicating role inflammatory response lipid metabolism abnormality pathogenesis Six selected validated Western Blot. Alpha-1-antitrypsin (SERPINA1) Ceruloplasmin are two markers with excellent area under curve values (0.929 1.000 respectively) distinguish normalbuminuria. For first time, found pro-epidermal growth factor prolactin-inducible protein decreased stage, inhibition viability activation kidney. Above data indicated that could be useful differences profiles different stages DN, will help individualized