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10.1186/s12014-017-9153-1

http://scihub22266oqcxt.onion/10.1186/s12014-017-9153-1
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C5434615!5434615!28522940
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suck abstract from ncbi


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pmid28522940      Clin+Proteomics 2017 ; 14 (ä): ä
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  • Potential urine proteomics biomarkers for primary nephrotic syndrome #MMPMID28522940
  • Choi YW; Kim YG; Song MY; Moon JY; Jeong KH; Lee TW; Ihm CG; Park KS; Lee SH
  • Clin Proteomics 2017[]; 14 (ä): ä PMID28522940show ga
  • Background: Nephrotic syndrome (NS) is a nonspecific kidney disorder, commonly caused by minimal change disease (MCD), focal segmental glomerulosclerosis (FSGS), and membranous nephropathy (MN). Here we analyzed urinary protein profiles, aiming to discover disease-specific biomarkers of these three common diseases in NS. Methods: Sixteen urine samples were collected from patients with biopsy-proven NS and healthy controls. After removal of high-abundance proteins, the urinary protein profile was analyzed by LC?MS/MS to generate a discovery set. For validation, ELISA was used to analyze the selected proteins in 61 urine samples. Results: The discovery set included 228 urine proteins, of which 22 proteins were differently expressed in MCD, MN, and FSGS. Among these, C9, CD14, and SERPINA1 were validated by ELISA. All three proteins were elevated in MCD, MN, and FSGS groups compared with in IgA nephropathy and healthy controls. When a regression model was applied, receiver operating characteristic analysis clearly discriminated MCD from the other causative diseases in NS. Conclusions: We developed a disease-specific protein panel that discriminated between three main causes of NS. Through this pilot study, we suggest that urine proteomics could be a non-invasive and clinically available tool to discriminate MCD from MN and FSGS. Electronic supplementary material: The online version of this article (doi:10.1186/s12014-017-9153-1) contains supplementary material, which is available to authorized users.
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