Literature DB >> 23524330

Large scale non-targeted metabolomic profiling of serum by ultra performance liquid chromatography-mass spectrometry (UPLC-MS).

Corey D Broeckling1, Adam L Heuberger, Jessica E Prenni.   

Abstract

Non-targeted metabolite profiling by ultra performance liquid chromatography coupled with mass spectrometry (UPLC-MS) is a powerful technique to investigate metabolism. The approach offers an unbiased and in-depth analysis that can enable the development of diagnostic tests, novel therapies, and further our understanding of disease processes. The inherent chemical diversity of the metabolome creates significant analytical challenges and there is no single experimental approach that can detect all metabolites. Additionally, the biological variation in individual metabolism and the dependence of metabolism on environmental factors necessitates large sample numbers to achieve the appropriate statistical power required for meaningful biological interpretation. To address these challenges, this tutorial outlines an analytical workflow for large scale non-targeted metabolite profiling of serum by UPLC-MS. The procedure includes guidelines for sample organization and preparation, data acquisition, quality control, and metabolite identification and will enable reliable acquisition of data for large experiments and provide a starting point for laboratories new to non-targeted metabolite profiling by UPLC-MS.

Mesh:

Year:  2013        PMID: 23524330      PMCID: PMC3639512          DOI: 10.3791/50242

Source DB:  PubMed          Journal:  J Vis Exp        ISSN: 1940-087X            Impact factor:   1.355


  17 in total

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Authors:  Lars J Kangas; Thomas O Metz; Giorgis Isaac; Brian T Schrom; Bojana Ginovska-Pangovska; Luning Wang; Li Tan; Robert R Lewis; John H Miller
Journal:  Bioinformatics       Date:  2012-05-15       Impact factor: 6.937

2.  Multiple ionization mass spectrometry strategy used to reveal the complexity of metabolomics.

Authors:  Anders Nordström; Elizabeth Want; Trent Northen; Janne Lehtiö; Gary Siuzdak
Journal:  Anal Chem       Date:  2007-12-18       Impact factor: 6.986

3.  Development of a robust and repeatable UPLC-MS method for the long-term metabolomic study of human serum.

Authors:  Eva Zelena; Warwick B Dunn; David Broadhurst; Sue Francis-McIntyre; Kathleen M Carroll; Paul Begley; Steve O'Hagan; Joshua D Knowles; Antony Halsall; Ian D Wilson; Douglas B Kell
Journal:  Anal Chem       Date:  2009-02-15       Impact factor: 6.986

Review 4.  Current trends and challenges in sample preparation for global metabolomics using liquid chromatography-mass spectrometry.

Authors:  Dajana Vuckovic
Journal:  Anal Bioanal Chem       Date:  2012-05-12       Impact factor: 4.142

5.  UPLC-MS-based analysis of human plasma for metabonomics using solvent precipitation or solid phase extraction.

Authors:  Filippos Michopoulos; Lindsay Lai; Helen Gika; Georgios Theodoridis; Ian Wilson
Journal:  J Proteome Res       Date:  2009-04       Impact factor: 4.466

Review 6.  Advances in metabolite identification.

Authors:  David S Wishart
Journal:  Bioanalysis       Date:  2011-08       Impact factor: 2.681

7.  MetPA: a web-based metabolomics tool for pathway analysis and visualization.

Authors:  Jianguo Xia; David S Wishart
Journal:  Bioinformatics       Date:  2010-07-13       Impact factor: 6.937

Review 8.  Cancer biomarker discovery: Opportunities and pitfalls in analytical methods.

Authors:  Haleem J Issaq; Timothy J Waybright; Timothy D Veenstra
Journal:  Electrophoresis       Date:  2011-03-30       Impact factor: 3.535

Review 9.  Challenges and opportunities of metabolomics.

Authors:  Caroline H Johnson; Frank J Gonzalez
Journal:  J Cell Physiol       Date:  2012-08       Impact factor: 6.384

10.  Integrated pathway-level analysis of transcriptomics and metabolomics data with IMPaLA.

Authors:  Atanas Kamburov; Rachel Cavill; Timothy M D Ebbels; Ralf Herwig; Hector C Keun
Journal:  Bioinformatics       Date:  2011-09-04       Impact factor: 6.937

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  7 in total

1.  Analysis of the metabolome of Anopheles gambiae mosquito after exposure to Mycobacterium ulcerans.

Authors:  J Charles Hoxmeier; Brice D Thompson; Corey D Broeckling; Pamela Small; Brian D Foy; Jessica Prenni; Karen M Dobos
Journal:  Sci Rep       Date:  2015-03-18       Impact factor: 4.379

2.  Large-scale metabolomic profiling identifies novel biomarkers for incident coronary heart disease.

Authors:  Andrea Ganna; Samira Salihovic; Johan Sundström; Corey D Broeckling; Asa K Hedman; Patrik K E Magnusson; Nancy L Pedersen; Anders Larsson; Agneta Siegbahn; Mihkel Zilmer; Jessica Prenni; Johan Arnlöv; Lars Lind; Tove Fall; Erik Ingelsson
Journal:  PLoS Genet       Date:  2014-12-11       Impact factor: 5.917

3.  A Non-Targeted Liquid Chromatographic-Mass Spectrometric Metabolomics Approach for Association with Coronary Artery Disease: An Identification of Biomarkers for Depiction of Underlying Biological Mechanisms.

Authors:  Xian-Zhao Zhang; Su-Xia Zheng; Ya-Min Hou
Journal:  Med Sci Monit       Date:  2017-02-02

4.  Association of Untargeted Urinary Metabolomics and Lung Cancer Risk Among Never-Smoking Women in China.

Authors:  Wei Jie Seow; Xiao-Ou Shu; Jeremy K Nicholson; Elaine Holmes; Douglas I Walker; Wei Hu; Qiuyin Cai; Yu-Tang Gao; Yong-Bing Xiang; Steven C Moore; Bryan A Bassig; Jason Y Y Wong; Jinming Zhang; Bu-Tian Ji; Claire L Boulangé; Manuja Kaluarachchi; Anisha Wijeyesekera; Wei Zheng; Paul Elliott; Nathaniel Rothman; Qing Lan
Journal:  JAMA Netw Open       Date:  2019-09-04

5.  Pulse Crop Effects on Gut Microbial Populations, Intestinal Function, and Adiposity in a Mouse Model of Diet-Induced Obesity.

Authors:  John N McGinley; Vanessa K Fitzgerald; Elizabeth S Neil; Heather M Omerigic; Adam L Heuberger; Tiffany L Weir; Rebecca McGee; George Vandemark; Henry J Thompson
Journal:  Nutrients       Date:  2020-02-25       Impact factor: 5.717

6.  White Kidney Bean (Phaseolus Vulgaris L.) Consumption Reduces Fat Accumulation in a Polygenic Mouse Model of Obesity.

Authors:  Elizabeth S Neil; John N McGinley; Vanessa K Fitzgerald; Corey A Lauck; Jeremy A Tabke; Madyson R Streeter-McDonald; Linxing Yao; Corey D Broeckling; Tiffany L Weir; Michelle T Foster; Henry J Thompson
Journal:  Nutrients       Date:  2019-11-15       Impact factor: 5.717

7.  Metabolomics for biomarker discovery in gastroenterological cancer.

Authors:  Shin Nishiumi; Makoto Suzuki; Takashi Kobayashi; Atsuki Matsubara; Takeshi Azuma; Masaru Yoshida
Journal:  Metabolites       Date:  2014-07-07
  7 in total

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