Potential urine proteomics biomarkers for primary nephrotic syndrome

Abstract 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 thes...

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Main Authors: Young Wook Choi, Yang Gyun Kim, Min-Young Song, Ju-Young Moon, Kyung-Hwan Jeong, Tae-Won Lee, Chun-Gyoo Ihm, Kang-Sik Park, Sang-Ho Lee
Format: Article
Language:English
Published: BMC 2017-05-01
Series:Clinical Proteomics
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12014-017-9153-1
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author Young Wook Choi
Yang Gyun Kim
Min-Young Song
Ju-Young Moon
Kyung-Hwan Jeong
Tae-Won Lee
Chun-Gyoo Ihm
Kang-Sik Park
Sang-Ho Lee
author_facet Young Wook Choi
Yang Gyun Kim
Min-Young Song
Ju-Young Moon
Kyung-Hwan Jeong
Tae-Won Lee
Chun-Gyoo Ihm
Kang-Sik Park
Sang-Ho Lee
author_sort Young Wook Choi
collection DOAJ
description Abstract 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.
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spelling doaj.art-3ecba2cb95d5497c954bfa9d0276ec0e2022-12-21T23:48:35ZengBMCClinical Proteomics1542-64161559-02752017-05-011411910.1186/s12014-017-9153-1Potential urine proteomics biomarkers for primary nephrotic syndromeYoung Wook Choi0Yang Gyun Kim1Min-Young Song2Ju-Young Moon3Kyung-Hwan Jeong4Tae-Won Lee5Chun-Gyoo Ihm6Kang-Sik Park7Sang-Ho Lee8Division of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDepartment of Physiology, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineDepartment of Physiology, Kyung Hee University School of MedicineDivision of Nephrology, Department of Internal Medicine, Kyung Hee University School of MedicineAbstract 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.http://link.springer.com/article/10.1186/s12014-017-9153-1Focal and segmental glomerulosclerosisMinimal change diseaseMembranous nephropathyNephrotic syndromeUrine proteomics
spellingShingle Young Wook Choi
Yang Gyun Kim
Min-Young Song
Ju-Young Moon
Kyung-Hwan Jeong
Tae-Won Lee
Chun-Gyoo Ihm
Kang-Sik Park
Sang-Ho Lee
Potential urine proteomics biomarkers for primary nephrotic syndrome
Clinical Proteomics
Focal and segmental glomerulosclerosis
Minimal change disease
Membranous nephropathy
Nephrotic syndrome
Urine proteomics
title Potential urine proteomics biomarkers for primary nephrotic syndrome
title_full Potential urine proteomics biomarkers for primary nephrotic syndrome
title_fullStr Potential urine proteomics biomarkers for primary nephrotic syndrome
title_full_unstemmed Potential urine proteomics biomarkers for primary nephrotic syndrome
title_short Potential urine proteomics biomarkers for primary nephrotic syndrome
title_sort potential urine proteomics biomarkers for primary nephrotic syndrome
topic Focal and segmental glomerulosclerosis
Minimal change disease
Membranous nephropathy
Nephrotic syndrome
Urine proteomics
url http://link.springer.com/article/10.1186/s12014-017-9153-1
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