Regional Differences of the Urinary Proteomes in Healthy Chinese Individuals  

中国不同地区健康人尿液蛋白质组的地域差异（英文）

作　　者：吴建强 秦伟伟 潘利 王小蓉 张彪 单广良 高友鹤 

机构地区：[1]中国医学科学院北京协和医院医学科学研究中心中国医学科学院北京协和医学院 [2]中国医学科学院基础医学研究所病理生理学系中国医学科学院北京协和医学院 [3]北京师范大学生命科学学院生物化学与分子生物学系基因工程药物与生物技术北京重点实验室 [4]中国医学科学院基础医学研究所流行病与卫生统计学系中国医学科学院北京协和医学院

出　　处：《Chinese Medical Sciences Journal》2019年第3期157-167,共11页中国医学科学杂志（英文版）

基　　金：supported by the Key Basic Research Program of the Ministry of Science and Technology of China(No.2013FY114100);the National Key Research and Development Program of China(No.2018YFC0910202,2016YFC1306300);the Beijing Natural Science Foundation(No.7172076);the Beijing Cooperative Construction Project(No.110651103);Beijing Normal University(No.11100704);Peking Union Medical College Hospital(2016-2.27)

摘　　要：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 intersex 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 multicenter biomarker studies.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 intersex 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 multicenter biomarker studies.

关 键 词：URINE PROTEOMICS BIOBANK biomarkers regional differences 

分 类 号：X70[环境科学与工程—环境工程]