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A stable panel comprising 18 urinary proteins in the human healthy population

A stable panel comprising 18 urinary proteins in the human healthy population Just as biomarkers specific for diseases, biomarkers indicative of healthy conditions are valuable for the early diagnosis, monitoring, and prognosis of diseases. Our study focused on discovering via proteomics a stable panel of urinary proteins in the human healthy population. Urine samples were collected three times during 4 months from 100 male and 100 female healthy donors and analyzed through four different fractionation techniques (i.e. in‐gel, 2D‐LC, OFFGEL, and mRP) coupled with HPLC‐Chip‐MS/MS. Thus, 1641 urinary proteins were identified with a high confidence, among which 70 exhibiting an intergender/day variation <0.25 were selected and matched with the previously published five largest urinary proteomes to get 56 candidate proteins. Next, a panel comprising 18 intact urinary proteins was constructed by comparing the urinary proteomes via SDS‐PAGE and 2DE. Finally, such 18 urinary proteins were validated via enzyme‐linked immunosorbent assay in eight healthy individuals. Most of these proteins had been related to multiple rather than to single diseases. Therefore, we surmise that this protein set could be used as a biomarker to assess the human health status. Further determinations of the normal fluctuations of the single urinary proteins in this series using samples from large numbers of healthy individuals are required prior to any application in clinical settings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Proteomics Wiley

A stable panel comprising 18 urinary proteins in the human healthy population

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References (65)

Publisher
Wiley
Copyright
"© 2012 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim"
ISSN
1615-9853
eISSN
1615-9861
DOI
10.1002/pmic.201100400
pmid
22522811
Publisher site
See Article on Publisher Site

Abstract

Just as biomarkers specific for diseases, biomarkers indicative of healthy conditions are valuable for the early diagnosis, monitoring, and prognosis of diseases. Our study focused on discovering via proteomics a stable panel of urinary proteins in the human healthy population. Urine samples were collected three times during 4 months from 100 male and 100 female healthy donors and analyzed through four different fractionation techniques (i.e. in‐gel, 2D‐LC, OFFGEL, and mRP) coupled with HPLC‐Chip‐MS/MS. Thus, 1641 urinary proteins were identified with a high confidence, among which 70 exhibiting an intergender/day variation <0.25 were selected and matched with the previously published five largest urinary proteomes to get 56 candidate proteins. Next, a panel comprising 18 intact urinary proteins was constructed by comparing the urinary proteomes via SDS‐PAGE and 2DE. Finally, such 18 urinary proteins were validated via enzyme‐linked immunosorbent assay in eight healthy individuals. Most of these proteins had been related to multiple rather than to single diseases. Therefore, we surmise that this protein set could be used as a biomarker to assess the human health status. Further determinations of the normal fluctuations of the single urinary proteins in this series using samples from large numbers of healthy individuals are required prior to any application in clinical settings.

Journal

ProteomicsWiley

Published: Apr 1, 2012

Keywords: ; ; ; ;

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