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Potential urine proteomics biomarkers for primary nephrotic syndrome

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...

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Autores principales: Choi, Young Wook, Kim, Yang Gyun, Song, Min-Young, Moon, Ju-Young, Jeong, Kyung-Hwan, Lee, Tae-Won, Ihm, Chun-Gyoo, Park, Kang-Sik, Lee, Sang-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434615/
https://www.ncbi.nlm.nih.gov/pubmed/28522940
http://dx.doi.org/10.1186/s12014-017-9153-1
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author Choi, Young Wook
Kim, Yang Gyun
Song, Min-Young
Moon, Ju-Young
Jeong, Kyung-Hwan
Lee, Tae-Won
Ihm, Chun-Gyoo
Park, Kang-Sik
Lee, Sang-Ho
author_facet Choi, Young Wook
Kim, Yang Gyun
Song, Min-Young
Moon, Ju-Young
Jeong, Kyung-Hwan
Lee, Tae-Won
Ihm, Chun-Gyoo
Park, Kang-Sik
Lee, Sang-Ho
author_sort Choi, Young Wook
collection PubMed
description 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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spelling pubmed-54346152017-05-18 Potential urine proteomics biomarkers for primary nephrotic syndrome Choi, Young Wook Kim, Yang Gyun Song, Min-Young Moon, Ju-Young Jeong, Kyung-Hwan Lee, Tae-Won Ihm, Chun-Gyoo Park, Kang-Sik Lee, Sang-Ho Clin Proteomics Research 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. BioMed Central 2017-05-16 /pmc/articles/PMC5434615/ /pubmed/28522940 http://dx.doi.org/10.1186/s12014-017-9153-1 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Choi, Young Wook
Kim, Yang Gyun
Song, Min-Young
Moon, Ju-Young
Jeong, Kyung-Hwan
Lee, Tae-Won
Ihm, Chun-Gyoo
Park, Kang-Sik
Lee, Sang-Ho
Potential urine proteomics biomarkers for primary nephrotic syndrome
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 Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5434615/
https://www.ncbi.nlm.nih.gov/pubmed/28522940
http://dx.doi.org/10.1186/s12014-017-9153-1
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