Literature DB >> 25756251

A short review of applications of liquid chromatography mass spectrometry based metabolomics techniques to the analysis of human urine.

Tong Zhang1, David G Watson.   

Abstract

The applications of metabolomics as a methodology for providing better treatment and understanding human disease continue to expand rapidly. In this review, covering the last two years, the focus is on liquid chromatography-mass spectrometry (LC-MS) profiling of metabolites in urine. In LC-MS based metabolomics there are still problems with regard to: chromatographic separation, peak picking and alignment, metabolite identification, metabolite coverage, instrument sensitivity and data interpretation and in the case of urine sample normalisation. Progress has been made with regard to all of these issues during the period of the review. Of particular interest are the increasing use of orthogonal chromatographic methods for optimal metabolite coverage and the increasing adoption of receiver operator characteristic (ROC) curves for biomarker validation.

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Year:  2015        PMID: 25756251     DOI: 10.1039/c4an02294g

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  8 in total

1.  Mup-knockout mice generated through CRISPR/Cas9-mediated deletion for use in urinary protein analysis.

Authors:  Haixia Yang; Wei Zhang; Shan Lu; Guangqing Lu; Hongjuan Zhang; Yinghua Zhuang; Yue Wang; Mengqiu Dong; Yu Zhang; Xingang Zhou; Peng Wang; Lei Yu; Fengchao Wang; Liang Chen
Journal:  Acta Biochim Biophys Sin (Shanghai)       Date:  2016-02-06       Impact factor: 3.848

2.  Association between Oxidative DNA Damage and Risk of Colorectal Cancer: Sensitive Determination of Urinary 8-Hydroxy-2'-deoxyguanosine by UPLC-MS/MS Analysis.

Authors:  Cheng Guo; Xiaofen Li; Rong Wang; Jiekai Yu; Minfeng Ye; Lingna Mao; Suzhan Zhang; Shu Zheng
Journal:  Sci Rep       Date:  2016-09-02       Impact factor: 4.379

3.  Baseline urine metabolic phenotype in patients with severe alcoholic hepatitis and its association with outcome.

Authors:  Jaswinder Singh Maras; Sukanta Das; Shvetank Sharma; Saggere M Shasthry; Benoit Colsch; Christophe Junot; Richard Moreau; Shiv Kumar Sarin
Journal:  Hepatol Commun       Date:  2018-04-16

4.  Metabolomic Profiling of Post-Mortem Brain Reveals Changes in Amino Acid and Glucose Metabolism in Mental Illness Compared with Controls.

Authors:  Rong Zhang; Tong Zhang; Ali Muhsen Ali; Mohammed Al Washih; Benjamin Pickard; David G Watson
Journal:  Comput Struct Biotechnol J       Date:  2016-02-26       Impact factor: 7.271

5.  A New Strategy for Analyzing Time-Series Data Using Dynamic Networks: Identifying Prospective Biomarkers of Hepatocellular Carcinoma.

Authors:  Xin Huang; Jun Zeng; Lina Zhou; Chunxiu Hu; Peiyuan Yin; Xiaohui Lin
Journal:  Sci Rep       Date:  2016-08-31       Impact factor: 4.379

6.  Metabolomic Profiling of the Effects of Melittin on Cisplatin Resistant and Cisplatin Sensitive Ovarian Cancer Cells Using Mass Spectrometry and Biolog Microarray Technology.

Authors:  Sanad Alonezi; Jonans Tusiimire; Jennifer Wallace; Mark J Dufton; John A Parkinson; Louise C Young; Carol J Clements; Jin Kyu Park; Jong Woon Jeon; Valerie A Ferro; David G Watson
Journal:  Metabolites       Date:  2016-10-13

7.  Discriminating patients with early-stage breast cancer from benign lesions by detection of oxidative DNA damage biomarker in urine.

Authors:  Cheng Guo; Xiaofen Li; Minfeng Ye; Fei Xu; Jiekai Yu; Cong Xie; Xiaoji Cao; Mengzhe Guo; Ying Yuan; Shu Zheng
Journal:  Oncotarget       Date:  2017-05-12

8.  Normalizing Untargeted Periconceptional Urinary Metabolomics Data: A Comparison of Approaches.

Authors:  Ana K Rosen Vollmar; Nicholas J W Rattray; Yuping Cai; Álvaro J Santos-Neto; Nicole C Deziel; Anne Marie Z Jukic; Caroline H Johnson
Journal:  Metabolites       Date:  2019-09-21
  8 in total

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