AIM OF THE STUDY: Microalbuminuria is currently the only diagnostic tool available for early diagnosis of @entity2316 . The test is based on immunological detection of small quantities of albumin in the urinary samples of @entity6 @entity1 . There are several limitations of the use of microalbuminuria as an index of renal function. It is therefore desirable to identify additional protein markers that would augment prediction of @entity2316 . The aim of this study is to identify urinary protein markers for specific and more accurate prediction of @entity8 in @entity6 @entity1 . DESIGN: 100 registered Type II @entity6 @entity1 were studied. Abundant proteins of microalbuminuria positive urinary samples of these @entity1 were analyzed by proteomics approaches of 2-Dimentional Gel Electrophoresis (2DGE) and mass spectrometry. RESULTS: 2-DGE analysis of the urine sample revealed four main proteins along with albumin in these samples. These were zinc alpha-2 glycoprotein, alpha-1 acid glycoprotein, alpha-1 microglobulin and IgG as identified by Matrix Assisted Laser Desorption Ionization-Tune of Flight (MALDI-ToF) and by western blot. Twenty control samples and three cases with microalbuminuria negative to positive transition does suggest the early and co-appearance of the markers with albumin. We have also analyzed full length spectrum of these samples by MALDI-ToF. CONCLUSION: Our study shows the presence of additional proteins in urine samples of microalbuminuria positive @entity6 @entity1 . These proteins can be used as markers for specific and accurate clinical analysis of @entity2316 . We propose a mass spectrometry based high throughput diagnostic approach to detect these markers in the urine sample.

Proteomic analysis of urinary protein markers for accurate prediction of XXXX .

@entity2316 :: ('MESH:D003928', 'Disease') :: ['diabetic nephropathy', 'Diabetic nephropathy'] @entity1 :: ('9606', 'Species') :: ['patients'] @entity8 :: ('MESH:D007674', 'Disease') :: ['nephropathy'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetic', 'diabetes']
@entity2316 :: (MESH:D003928,Disease) :: ['diabetic kidney disorder']
