尿代谢组学多中心变异的评价

Jing Li , Haidan Sun , Xiaoyan Liu , Qinghong Shi , Lu He , Yulin Sun , Chengyan He , Yajie Wang , Xiaohang Zhao , Lihua Fan , Zhengguang Guo , Shirley X. Tsang , Wei Sun
{"title":"尿代谢组学多中心变异的评价","authors":"Jing Li ,&nbsp;Haidan Sun ,&nbsp;Xiaoyan Liu ,&nbsp;Qinghong Shi ,&nbsp;Lu He ,&nbsp;Yulin Sun ,&nbsp;Chengyan He ,&nbsp;Yajie Wang ,&nbsp;Xiaohang Zhao ,&nbsp;Lihua Fan ,&nbsp;Zhengguang Guo ,&nbsp;Shirley X. Tsang ,&nbsp;Wei Sun","doi":"10.1016/j.urine.2020.05.004","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Multicenter experiments have frequently been performed in clinical biomarker studies. However, center effects should not be ignored. In this study, for the first time,we estimated the multicenter variations of the urinary metabolome in China.</p></div><div><h3>Methods</h3><p>In this study, midstream urine samples from a total of 83 healthy individuals were collected in four centers in Beijing and Changchun. Liquid chromatography-high resolution mass spectrometry -based metabolomics was used to analyze the differences among the four centers.</p></div><div><h3>Results</h3><p>Within the same city, there were significant variations in the urinary metabolome among the three centers. Different centers had unique differential metabolites. Amino acids, N-acetylglucosamine, glutathione, and NAD metabolism contributed to the multicenter variation. The metabolomics variation between Beijing and Changchun was obviously higher than that within the same city (Beijing). The variations between Beijing and Changchun were associated with tetrapyrrole metabolism, hememetabolism, and eicosanoid signaling.</p></div><div><h3>Conclusions</h3><p>This study provides insights into the center and regional effect of the urinary metabolome in China. Our results might benefit the experimental design of multicenter urinary metabolome research in the clinic.</p></div>","PeriodicalId":75287,"journal":{"name":"Urine (Amsterdam, Netherlands)","volume":"1 ","pages":"Pages 29-34"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.urine.2020.05.004","citationCount":"4","resultStr":"{\"title\":\"Evaluation of the multicenter variations of urinary metabolomics\",\"authors\":\"Jing Li ,&nbsp;Haidan Sun ,&nbsp;Xiaoyan Liu ,&nbsp;Qinghong Shi ,&nbsp;Lu He ,&nbsp;Yulin Sun ,&nbsp;Chengyan He ,&nbsp;Yajie Wang ,&nbsp;Xiaohang Zhao ,&nbsp;Lihua Fan ,&nbsp;Zhengguang Guo ,&nbsp;Shirley X. Tsang ,&nbsp;Wei Sun\",\"doi\":\"10.1016/j.urine.2020.05.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Multicenter experiments have frequently been performed in clinical biomarker studies. However, center effects should not be ignored. In this study, for the first time,we estimated the multicenter variations of the urinary metabolome in China.</p></div><div><h3>Methods</h3><p>In this study, midstream urine samples from a total of 83 healthy individuals were collected in four centers in Beijing and Changchun. Liquid chromatography-high resolution mass spectrometry -based metabolomics was used to analyze the differences among the four centers.</p></div><div><h3>Results</h3><p>Within the same city, there were significant variations in the urinary metabolome among the three centers. Different centers had unique differential metabolites. Amino acids, N-acetylglucosamine, glutathione, and NAD metabolism contributed to the multicenter variation. The metabolomics variation between Beijing and Changchun was obviously higher than that within the same city (Beijing). The variations between Beijing and Changchun were associated with tetrapyrrole metabolism, hememetabolism, and eicosanoid signaling.</p></div><div><h3>Conclusions</h3><p>This study provides insights into the center and regional effect of the urinary metabolome in China. Our results might benefit the experimental design of multicenter urinary metabolome research in the clinic.</p></div>\",\"PeriodicalId\":75287,\"journal\":{\"name\":\"Urine (Amsterdam, Netherlands)\",\"volume\":\"1 \",\"pages\":\"Pages 29-34\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.urine.2020.05.004\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Urine (Amsterdam, Netherlands)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2590280620300048\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Urine (Amsterdam, Netherlands)","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590280620300048","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

临床生物标志物研究中经常进行多中心实验。然而,中心效应不应该被忽视。在这项研究中,我们首次估计了中国尿代谢组的多中心变异。方法在北京和长春4个中心采集83例健康人中游尿液样本。采用液相色谱-高分辨率质谱代谢组学分析4个中心之间的差异。结果在同一城市内,三个中心的尿代谢组存在显著差异。不同的中心有独特的代谢物差异。氨基酸、n -乙酰氨基葡萄糖、谷胱甘肽和NAD代谢导致了多中心变异。北京和长春的代谢组学差异明显高于同一城市(北京)内的差异。北京和长春之间的差异与四吡咯代谢、血液代谢和类二十烷信号传导有关。结论本研究揭示了尿代谢组学在中国的中心效应和区域效应。本研究结果可为临床多中心尿液代谢组研究的实验设计提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of the multicenter variations of urinary metabolomics

Background

Multicenter experiments have frequently been performed in clinical biomarker studies. However, center effects should not be ignored. In this study, for the first time,we estimated the multicenter variations of the urinary metabolome in China.

Methods

In this study, midstream urine samples from a total of 83 healthy individuals were collected in four centers in Beijing and Changchun. Liquid chromatography-high resolution mass spectrometry -based metabolomics was used to analyze the differences among the four centers.

Results

Within the same city, there were significant variations in the urinary metabolome among the three centers. Different centers had unique differential metabolites. Amino acids, N-acetylglucosamine, glutathione, and NAD metabolism contributed to the multicenter variation. The metabolomics variation between Beijing and Changchun was obviously higher than that within the same city (Beijing). The variations between Beijing and Changchun were associated with tetrapyrrole metabolism, hememetabolism, and eicosanoid signaling.

Conclusions

This study provides insights into the center and regional effect of the urinary metabolome in China. Our results might benefit the experimental design of multicenter urinary metabolome research in the clinic.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Urine (Amsterdam, Netherlands)
Urine (Amsterdam, Netherlands) Health Informatics, Pathology and Medical Technology, Urology
自引率
0.00%
发文量
0
审稿时长
99 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信