Literature DB >> 18490203

Global metabolic profiling analysis on human urine by UPLC-TOFMS: issues and method validation in nutritional metabolomics.

Philippe A Guy1, Isabelle Tavazzi, Stephen J Bruce, Ziad Ramadan, Sunil Kochhar.   

Abstract

Optimisation and method validation was assessed here for metabolic profiling analysis of urine samples using UPLC-TOFMS. A longer run time of 31 min revealed greater reproducibility, and the higher number of variables was identified as compared to shortened run times (10 and 26 min). We have also implemented two QC urine samples enabling the assessment of the quality and reproducibility of the data generated during the whole analytical workflow (retention time drift, mass precision and fluctuation of the ion responses over time). Based on the QC data, suitable standards for ensuring consistent analytical results for metabolomics applications using the UPLC-MS techniques are recommended.

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Year:  2008        PMID: 18490203     DOI: 10.1016/j.jchromb.2008.04.034

Source DB:  PubMed          Journal:  J Chromatogr B Analyt Technol Biomed Life Sci        ISSN: 1570-0232            Impact factor:   3.205


  10 in total

1.  Global metabolic profiling procedures for urine using UPLC-MS.

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2.  Metabolomic discovery of novel urinary galabiosylceramide analogs as Fabry disease biomarkers.

Authors:  Michel Boutin; Christiane Auray-Blais
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3.  Development and Application of an LC-MS/MS Untargeted Exposomics Method with a Separated Pooled Quality Control Strategy.

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Journal:  Molecules       Date:  2022-04-16       Impact factor: 4.927

4.  Integrative approach to analyze biodiversity and anti-inflammatory bioactivity of Wedelia medicinal plants.

Authors:  Wen-Ching Lin; Chih-Chun Wen; Yung-Hsiang Chen; Pei-Wen Hsiao; Jiunn-Wang Liao; Ching-I Peng; Ning-Sun Yang
Journal:  PLoS One       Date:  2015-06-04       Impact factor: 3.240

5.  Separation technique for the determination of highly polar metabolites in biological samples.

Authors:  Yusuke Iwasaki; Takahiro Sawada; Kentaro Hatayama; Akihito Ohyagi; Yuri Tsukuda; Kyohei Namekawa; Rie Ito; Koichi Saito; Hiroyuki Nakazawa
Journal:  Metabolites       Date:  2012-08-16

Review 6.  Perspective: a systems approach to diabetes research.

Authors:  Martin Kussmann; Melissa J Morine; Jörg Hager; Bernhard Sonderegger; Jim Kaput
Journal:  Front Genet       Date:  2013-10-16       Impact factor: 4.599

7.  Metabolomics data normalization with EigenMS.

Authors:  Yuliya V Karpievitch; Sonja B Nikolic; Richard Wilson; James E Sharman; Lindsay M Edwards
Journal:  PLoS One       Date:  2014-12-30       Impact factor: 3.240

8.  Calcium-deficiency assessment and biomarker identification by an integrated urinary metabonomics analysis.

Authors:  Maoqing Wang; Xue Yang; Fan Wang; Ran Li; Hua Ning; Lixin Na; Yifan Huang; Yue Song; Liyan Liu; Hongzhi Pan; Qiuju Zhang; Lijun Fan; Ying Li; Changhao Sun
Journal:  BMC Med       Date:  2013-03-28       Impact factor: 8.775

9.  Feasibility of identifying the tobacco-related global metabolome in blood by UPLC-QTOF-MS.

Authors:  Ping-Ching Hsu; Bin Zhou; Yi Zhao; Habtom W Ressom; Amrita K Cheema; Wallace Pickworth; Peter G Shields
Journal:  J Proteome Res       Date:  2013-01-14       Impact factor: 4.466

10.  Metabolomics reveals the mechanisms for the cardiotoxicity of Pinelliae Rhizoma and the toxicity-reducing effect of processing.

Authors:  Tao Su; Yong Tan; Man-Shan Tsui; Hua Yi; Xiu-Qiong Fu; Ting Li; Chi Leung Chan; Hui Guo; Ya-Xi Li; Pei-Li Zhu; Anfernee Kai Wing Tse; Hui Cao; Ai-Ping Lu; Zhi-Ling Yu
Journal:  Sci Rep       Date:  2016-10-04       Impact factor: 4.379

  10 in total

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