Literature DB >> 17269729

Proteome analysis of serum from type 2 diabetics with nephropathy.

Hyun-Jung Kim1, Eun-Hee Cho, Ji-Hye Yoo, Pan-Kyeom Kim, Jun-Seop Shin, Mi-Ryung Kim, Chan-Wha Kim.   

Abstract

Diabetic nephropathy (DN) is a renal disease which develops as a consequence of diabetes mellitus. Microalbuminuria is the earliest clinical sign of DN. There are no specific diagnostic biomarkers for type 2 diabetics with nephropathy other than microalbuminuria and macroalbuminuria. However, microalbuminuria does not constitute a sole independent indicator for type 2 diabetics with nephropathy, and thus, another screening method, such as a biomarker assay, is required in order to diagnose it more correctly. Therefore, we have utilized two-dimensional electrophoresis (2-DE) to identify human serum protein markers for the more specific and accurate prediction of progressive nephropathy in type 2 diabetes patients, via comparisons of the serum proteome in three experimental groups: type 2 diabetes patients without microalbuminuria (DM, n = 30), with microalbuminuria (MA, n = 29), and with chronic renal failure (CRF, n = 31). As a result, proteins which were differentially expressed with statistical significance (p < 0.05) in MA and CRF groups as compared to those in DM group were selected and identified by ESI-Q-TOF MS/MS. Among these identified proteins, two proteins which might be useful as diagnostic biomarkers of type 2 diabetics with nephropathy were verified by Western blotting: extracellular glutathione peroxidase (eGPx) and apolipoprotein (ApoE) were found to exhibit a progressive reduction in MA and CRF groups. Notably, eGPx was further verified by ELISA using DM (n = 100) and MA (n = 96) patient samples. Collectively, our results show that the two proteins identified in this study may constitute potential biomarkers for the diagnosis of type 2 diabetics with nephropathy.

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Year:  2007        PMID: 17269729     DOI: 10.1021/pr060489g

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


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