Literature DB >> 12742120

Method development in high-performance liquid chromatography for high-throughput profiling and metabonomic studies of biofluid samples.

Hai Pham-Tuan1, Lefteris Kaskavelis, Clare A Daykin, Hans-Gerd Janssen.   

Abstract

"Metabonomics" has in the past decade demonstrated enormous potential in furthering the understanding of, for example, disease processes, toxicological mechanisms, and biomarker discovery. The same principles can also provide a systematic and comprehensive approach to the study of food ingredient impact on consumer health. However, "metabonomic" methodology requires the development of rapid, advanced analytical tools to comprehensively profile biofluid metabolites within consumers. Until now, NMR spectroscopy has been used for this purpose almost exclusively. Chromatographic techniques and in particular HPLC, have not been exploited accordingly. The main drawbacks of chromatography are the long analysis time, instabilities in the sample fingerprint and the rigorous sample preparation required. This contribution addresses these problems in the quest to develop generic methods for high-throughput profiling using HPLC. After a careful optimization process, stable fingerprints of biofluid samples can be obtained using standard HPLC equipment. A method using a short monolithic column and a rapid gradient with a high flow-rate has been developed that allowed rapid and detailed profiling of larger numbers of urine samples. The method can be easily translated into a slow, shallow-gradient high-resolution method for identification of interesting peaks by LC-MS/NMR. A similar approach has been applied for cell culture media samples. Due to the much higher protein content of such samples non-porous polymer-based small particle columns yielded the best results. The study clearly shows that HPLC can be used in metabonomic fingerprinting studies.

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Year:  2003        PMID: 12742120     DOI: 10.1016/s1570-0232(03)00077-1

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


  15 in total

1.  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 2.  Mass spectrometry-based metabolomics.

Authors:  Katja Dettmer; Pavel A Aronov; Bruce D Hammock
Journal:  Mass Spectrom Rev       Date:  2007 Jan-Feb       Impact factor: 10.946

3.  Development of tissue-targeted metabonomics. Part 1. Analytical considerations.

Authors:  Kristin E Price; Craig E Lunte; Cynthia K Larive
Journal:  J Pharm Biomed Anal       Date:  2007-11-29       Impact factor: 3.935

Review 4.  Application of metabonomic analytical techniques in the modernization and toxicology research of traditional Chinese medicine.

Authors:  Yong-Min Lao; Jian-Guo Jiang; Lu Yan
Journal:  Br J Pharmacol       Date:  2009-06-05       Impact factor: 8.739

5.  Highly-parallel metabolomics approaches using LC-MS for pharmaceutical and environmental analysis.

Authors:  Sunil Bajad; Vladimir Shulaev
Journal:  Trends Analyt Chem       Date:  2007-06-01       Impact factor: 12.296

6.  Global metabolic profiling of animal and human tissues via UPLC-MS.

Authors:  Elizabeth J Want; Perrine Masson; Filippos Michopoulos; Ian D Wilson; Georgios Theodoridis; Robert S Plumb; John Shockcor; Neil Loftus; Elaine Holmes; Jeremy K Nicholson
Journal:  Nat Protoc       Date:  2012-12-06       Impact factor: 13.491

7.  Metabolic Profiling of Human Blood by High Resolution Ion Mobility Mass Spectrometry (IM-MS).

Authors:  Prabha Dwivedi; Albert J Schultz; Herbert H Hill
Journal:  Int J Mass Spectrom       Date:  2010-12       Impact factor: 1.986

8.  Relative quantification of amine-containing metabolites using isobaric N,N-dimethyl leucine (DiLeu) reagents via LC-ESI-MS/MS and CE-ESI-MS/MS.

Authors:  Ling Hao; Xuefei Zhong; Tyler Greer; Hui Ye; Lingjun Li
Journal:  Analyst       Date:  2015-01-21       Impact factor: 4.616

9.  High-throughput nuclear magnetic resonance metabolomic footprinting for tissue engineering.

Authors:  Christopher Seagle; Megan A Christie; Jason H Winnike; Randall E McClelland; John W Ludlow; Thomas M O'Connell; Michael P Gamcsik; Jeffrey M MacDonald
Journal:  Tissue Eng Part C Methods       Date:  2008-06       Impact factor: 3.056

10.  Comparative metabolite profiling of carboxylic acids in rat urine by CE-ESI MS/MS through positively pre-charged and (2)H-coded derivatization.

Authors:  Wen-Chu Yang; Fred E Regnier; Jiri Adamec
Journal:  Electrophoresis       Date:  2008-11       Impact factor: 3.535

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