Literature DB >> 22971357

Urine metabolomics.

Aihua Zhang1, Hui Sun, Xiuhong Wu, Xijun Wang.   

Abstract

Metabolomics is a powerful technique for the discovery of novel biomarkers and elucidation of biochemical pathways to improve diagnosis, prognosis and therapy. An advantage of this approach is its ability to assess global metabolic profiles to enhance pathologic characterization. Urine is an ideal bio-medium for disease study because it is readily available, easily obtained and less complex than other body fluids. Ease of collection allows for serial sampling to monitor disease and therapeutic response. Because of this potential, this paper will review urine metabolomic analysis, discuss its significance in the post-genomic era and highlight the specific roles of endogenous small molecule metabolites in this emerging field.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 22971357     DOI: 10.1016/j.cca.2012.08.016

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  43 in total

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Review 6.  Rare inherited kidney diseases: challenges, opportunities, and perspectives.

Authors:  Olivier Devuyst; Nine V A M Knoers; Giuseppe Remuzzi; Franz Schaefer
Journal:  Lancet       Date:  2014-05-24       Impact factor: 79.321

7.  1H NMR-based urine metabolomics for the evaluation of kidney injury in Wistar rats by 3-MCPD.

Authors:  Jian Ji; Lijuan Zhang; Hongxia Zhang; Chao Sun; Jiadi Sun; Hui Jiang; Mandour H Abdalhai; YinZhi Zhang; Xiulan Sun
Journal:  Toxicol Res (Camb)       Date:  2016-02-19       Impact factor: 3.524

8.  Evaluation of sample preparation protocols for quantitative NMR-based metabolomics.

Authors:  Olga A Snytnikova; Anastasiya A Khlichkina; Renad Z Sagdeev; Yuri P Tsentalovich
Journal:  Metabolomics       Date:  2019-05-24       Impact factor: 4.290

9.  Anti-Inflammation Effects and Potential Mechanism of Saikosaponins by Regulating Nicotinate and Nicotinamide Metabolism and Arachidonic Acid Metabolism.

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10.  Metabolomic analysis of key regulatory metabolites in hepatitis C virus-infected tree shrews.

Authors:  Hui Sun; Aihua Zhang; Guangli Yan; Chengyu Piao; Weiyun Li; Chang Sun; Xiuhong Wu; Xinghua Li; Yun Chen; Xijun Wang
Journal:  Mol Cell Proteomics       Date:  2012-12-20       Impact factor: 5.911

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