Literature DB >> 12378948

NMR-based metabolomics.

Nicholas V Reo1.   

Abstract

Similar to genomics and proteomics which yield vast amounts of data about the expression of genes and proteins, metabolomics refers to the whole metabolic profile of the cell. The focus of this report concerns the use of nuclear magnetic resonance (NMR) spectroscopy for metabolic analyses and, in particular, its use in toxicology for examining the metabolic profile of biofluids. Examples from the literature will demonstrate how 1H NMR and pattern recognition methods are used to obtain the urinary metabolic profile, and how this profile is affected by exposure to various toxicants. These particular studies which focus on the metabolic profiles of biofluids, specifically urine, are referred to as metabonomics. NMR-based metabonomics provides a means to categorize organ-specific toxicity, monitor the onset and progression of toxicological effects, and identify biomarkers of toxicity. A future challenge, however, is to describe the cellular metabolome for purposes of understanding cellular functions (i.e., metabolomics). Thus the capabilities and advantages of multinuclear NMR to provide metabolic information in cells and tissues will also be discussed. Such information is essential if metabolomics is to provide a complementary dataset which together with genomics and proteomics can be used to construct computer network models to describe cellular functions.

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Year:  2002        PMID: 12378948     DOI: 10.1081/dct-120014789

Source DB:  PubMed          Journal:  Drug Chem Toxicol        ISSN: 0148-0545            Impact factor:   3.356


  55 in total

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2.  Development of an extraction method for mycobacterial metabolome analysis.

Authors:  B U Jaki; S G Franzblau; S H Cho; G F Pauli
Journal:  J Pharm Biomed Anal       Date:  2005-11-28       Impact factor: 3.935

Review 3.  Biomarkers for neuroAIDS: the widening scope of metabolomics.

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4.  The future of liquid chromatography-mass spectrometry (LC-MS) in metabolic profiling and metabolomic studies for biomarker discovery.

Authors:  Thomas O Metz; Qibin Zhang; Jason S Page; Yufeng Shen; Stephen J Callister; Jon M Jacobs; Richard D Smith
Journal:  Biomark Med       Date:  2007-06       Impact factor: 2.851

Review 5.  Online tools for bioinformatics analyses in nutrition sciences.

Authors:  Sridhar A Malkaram; Yousef I Hassan; Janos Zempleni
Journal:  Adv Nutr       Date:  2012-09-01       Impact factor: 8.701

Review 6.  Lipidomic profiling of model organisms and the world's major pathogens.

Authors:  Emilie Layre; D Branch Moody
Journal:  Biochimie       Date:  2012-08-23       Impact factor: 4.079

Review 7.  Clinical applications of metabolomics in oncology: a review.

Authors:  Jennifer L Spratlin; Natalie J Serkova; S Gail Eckhardt
Journal:  Clin Cancer Res       Date:  2009-01-15       Impact factor: 12.531

8.  Biomarker discovery in animal health and disease: the application of post-genomic technologies.

Authors:  Rowan E Moore; Jennifer Kirwan; Mary K Doherty; Phillip D Whitfield
Journal:  Biomark Insights       Date:  2007-07-10

9.  Metabolic assessment of a novel chronic myelogenous leukemic cell line and an imatinib resistant subline by H NMR spectroscopy.

Authors:  Brian J Dewar; Kayvan Keshari; Rex Jeffries; Petras Dzeja; Lee M Graves; Jeffrey M Macdonald
Journal:  Metabolomics       Date:  2010-03-23       Impact factor: 4.290

10.  Capillary electrophoresis mass spectrometry-based saliva metabolomics identified oral, breast and pancreatic cancer-specific profiles.

Authors:  Masahiro Sugimoto; David T Wong; Akiyoshi Hirayama; Tomoyoshi Soga; Masaru Tomita
Journal:  Metabolomics       Date:  2009-09-10       Impact factor: 4.290

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