Literature DB >> 21720319

Procedures for large-scale metabolic profiling of serum and plasma using gas chromatography and liquid chromatography coupled to mass spectrometry.

Warwick B Dunn1, David Broadhurst, Paul Begley, Eva Zelena, Sue Francis-McIntyre, Nadine Anderson, Marie Brown, Joshau D Knowles, Antony Halsall, John N Haselden, Andrew W Nicholls, Ian D Wilson, Douglas B Kell, Royston Goodacre.   

Abstract

Metabolism has an essential role in biological systems. Identification and quantitation of the compounds in the metabolome is defined as metabolic profiling, and it is applied to define metabolic changes related to genetic differences, environmental influences and disease or drug perturbations. Chromatography-mass spectrometry (MS) platforms are frequently used to provide the sensitive and reproducible detection of hundreds to thousands of metabolites in a single biofluid or tissue sample. Here we describe the experimental workflow for long-term and large-scale metabolomic studies involving thousands of human samples with data acquired for multiple analytical batches over many months and years. Protocols for serum- and plasma-based metabolic profiling applying gas chromatography-MS (GC-MS) and ultraperformance liquid chromatography-MS (UPLC-MS) are described. These include biofluid collection, sample preparation, data acquisition, data pre-processing and quality assurance. Methods for quality control-based robust LOESS signal correction to provide signal correction and integration of data from multiple analytical batches are also described.

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Year:  2011        PMID: 21720319     DOI: 10.1038/nprot.2011.335

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  89 in total

Review 1.  Systems level studies of mammalian metabolomes: the roles of mass spectrometry and nuclear magnetic resonance spectroscopy.

Authors:  Warwick B Dunn; David I Broadhurst; Helen J Atherton; Royston Goodacre; Julian L Griffin
Journal:  Chem Soc Rev       Date:  2010-08-17       Impact factor: 54.564

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

Authors:  Elizabeth J Want; Ian D Wilson; Helen Gika; Georgios Theodoridis; Robert S Plumb; John Shockcor; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2010-06       Impact factor: 13.491

Review 3.  Metabolomics-based systems biology and personalized medicine: moving towards n = 1 clinical trials?

Authors:  Jan van der Greef; Thomas Hankemeier; Robert N McBurney
Journal:  Pharmacogenomics       Date:  2006-10       Impact factor: 2.533

4.  Hydrophilic interaction chromatography for mass spectrometric metabonomic studies of urine.

Authors:  Simon Cubbon; Timothy Bradbury; Julie Wilson; Jane Thomas-Oates
Journal:  Anal Chem       Date:  2007-10-31       Impact factor: 6.986

5.  Extending the breadth of metabolite profiling by gas chromatography coupled to mass spectrometry.

Authors:  Oliver Fiehn
Journal:  Trends Analyt Chem       Date:  2008-03       Impact factor: 12.296

6.  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

7.  Metabolic oxidation regulates embryonic stem cell differentiation.

Authors:  Oscar Yanes; Julie Clark; Diana M Wong; Gary J Patti; Antonio Sánchez-Ruiz; H Paul Benton; Sunia A Trauger; Caroline Desponts; Sheng Ding; Gary Siuzdak
Journal:  Nat Chem Biol       Date:  2010-05-02       Impact factor: 15.040

8.  High-throughput classification of yeast mutants for functional genomics using metabolic footprinting.

Authors:  Jess Allen; Hazel M Davey; David Broadhurst; Jim K Heald; Jem J Rowland; Stephen G Oliver; Douglas B Kell
Journal:  Nat Biotechnol       Date:  2003-05-12       Impact factor: 54.908

9.  MathDAMP: a package for differential analysis of metabolite profiles.

Authors:  Richard Baran; Hayataro Kochi; Natsumi Saito; Makoto Suematsu; Tomoyoshi Soga; Takaaki Nishioka; Martin Robert; Masaru Tomita
Journal:  BMC Bioinformatics       Date:  2006-12-13       Impact factor: 3.169

Review 10.  Measuring the metabolome: current analytical technologies.

Authors:  Warwick B Dunn; Nigel J C Bailey; Helen E Johnson
Journal:  Analyst       Date:  2005-03-04       Impact factor: 4.616

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  675 in total

1.  Chronic caloric restriction partially protects against age-related alteration in serum metabolome.

Authors:  Jennifer M De Guzman; Ginger Ku; Ryan Fahey; Yun-Hee Youm; Ignatius Kass; Donald K Ingram; Vishwa Deep Dixit; Indu Kheterpal
Journal:  Age (Dordr)       Date:  2012-06-04

Review 2.  Diagnosis of gastroenterological diseases by metabolome analysis using gas chromatography-mass spectrometry.

Authors:  Masaru Yoshida; Naoya Hatano; Shin Nishiumi; Yasuhiro Irino; Yoshihiro Izumi; Tadaomi Takenawa; Takeshi Azuma
Journal:  J Gastroenterol       Date:  2011-11-02       Impact factor: 7.527

3.  Metabolic alterations in the sera of Chinese patients with mild persistent asthma: a GC-MS-based metabolomics analysis.

Authors:  Chun Chang; Zhi-guo Guo; Bei He; Wan-zhen Yao
Journal:  Acta Pharmacol Sin       Date:  2015-11       Impact factor: 6.150

4.  Reference Standardization for Mass Spectrometry and High-resolution Metabolomics Applications to Exposome Research.

Authors:  Young-Mi Go; Douglas I Walker; Yongliang Liang; Karan Uppal; Quinlyn A Soltow; ViLinh Tran; Frederick Strobel; Arshed A Quyyumi; Thomas R Ziegler; Kurt D Pennell; Gary W Miller; Dean P Jones
Journal:  Toxicol Sci       Date:  2015-09-09       Impact factor: 4.849

5.  Experimental Periodontitis Results in Prediabetes and Metabolic Alterations in Brain, Liver and Heart: Global Untargeted Metabolomic Analyses.

Authors:  Vladimir Ilievski; Jason M Kinchen; Ramya Prabhu; Fadi Rim; Lara Leoni; Terry G Unterman; Keiko Watanabe
Journal:  J Oral Biol (Northborough)       Date:  2016-04-23

6.  Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data.

Authors:  Stephen Barnes; H Paul Benton; Krista Casazza; Sara J Cooper; Xiangqin Cui; Xiuxia Du; Jeffrey Engler; Janusz H Kabarowski; Shuzhao Li; Wimal Pathmasiri; Jeevan K Prasain; Matthew B Renfrow; Hemant K Tiwari
Journal:  J Mass Spectrom       Date:  2016-07       Impact factor: 1.982

7.  Metabolic Profiling of Escherichia coli-based Cell-Free Expression Systems for Process Optimization.

Authors:  April M Miguez; Monica P McNerney; Mark P Styczynski
Journal:  Ind Eng Chem Res       Date:  2019-09-13       Impact factor: 3.720

8.  A metabolomics-based approach for the evaluation of off-tree ripening conditions and different postharvest treatments in mangosteen (Garcinia mangostana).

Authors:  Anjaritha A R Parijadi; Sobir Ridwani; Fenny M Dwivany; Sastia P Putri; Eiichiro Fukusaki
Journal:  Metabolomics       Date:  2019-05-03       Impact factor: 4.290

9.  Development of a metabolic biosignature for detection of early Lyme disease.

Authors:  Claudia R Molins; Laura V Ashton; Gary P Wormser; Ann M Hess; Mark J Delorey; Sebabrata Mahapatra; Martin E Schriefer; John T Belisle
Journal:  Clin Infect Dis       Date:  2015-03-11       Impact factor: 9.079

10.  Cardiac resynchronization therapy induces adaptive metabolic transitions in the metabolomic profile of heart failure.

Authors:  Emirhan Nemutlu; Song Zhang; Yi-Zhou Xu; Andre Terzic; Li Zhong; Petras D Dzeja; Yong-Mei Cha
Journal:  J Card Fail       Date:  2015-04-22       Impact factor: 5.712

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