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Regional Differences of the Urinary Proteomes in Healthy Chinese Individuals
Author(s) -
Jianqiang Wu,
Weiwei Qin,
Li Pan,
Xiaorong Wang,
Biao Zhang,
Shan Guang-liang,
Youhe Gao
Publication year - 2019
Publication title -
chinese medical sciences journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.215
H-Index - 21
ISSN - 1001-9294
DOI - 10.24920/003504
Subject(s) - proteome , urine , urinary system , medicine , biomarker , biomarker discovery , proteomics , kegg , confounding , physiology , bioinformatics , transcriptome , biology , gene , genetics , gene expression
Objective Urine is a promising biomarker source for clinical proteomics studies. Regional physiological differences are common in multi-center clinical studies. In this study, we investigate whether significant differences are present in the urinary proteomes of individuals from different regions in China. Methods In this study, morning urine samples were collected from healthy urban residents in three regions of China (Haikou, Xi'an and Xining) and urinary proteins were preserved using a membrane-based method (Urimem). The urine proteomes of 27 normal samples were analyzed using LC-MS/MS and compared among three regions. Functional annotation of the differential proteins among the three areas was analyzed using the DAVID online database, and pathway enrichment of the differential urinary proteins was analyzed using KEGG. Results We identified 1898 proteins from Urimem samples using label-free proteome quantification, of which 56 urine proteins were differentially expressed among the three regions ( P < 0.05). Hierarchical clustering analysis showed that inter-regional differences caused less significant changes in the urine proteome than inter-sex differences. After gender stratification, 16 differential proteins were identified in male samples and 84 differential proteins were identified in female samples. Among these differential proteins, several proteins have been previously reported as urinary disease biomarkers. Conclusions Urimem will facilitate urinary protein storage for large-scale urine sample collection. Regional differences are a confounding factor influencing the urine proteome and should be considered in future multi-center biomarker studies.

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