Literature DB >> 18337232

Metabolic profiling as a tool for understanding mechanisms of toxicity.

Christopher J Clarke1, John N Haselden.   

Abstract

Metabolic profiling (metabolomics/metabonomics) is the measurement in biological systems of the complement of low-molecular-weight metabolites and their intermediates that reflects the dynamic response to genetic modification and physiological, pathophysiological, and/or developmental stimuli. The measurement and interpretation of the endogenous metabolite profile from a biological sample (typically urine, serum, or biological tissue extract) have provided many opportunities to investigate the changes induced by external stimuli (e.g., drug treatment) or enhance our knowledge of inherent biological variation within subpopulations. This article will focus on the basic principles of metabolic profiling and how the tools (nuclear magnetic resonance [NMR], liquid chromatography-mass spectrometry [LC-MS]) can be applied in toxicology and pathology. Metabolic profiling can complement conventional methodologies and other "omics" technologies in investigating preclinical drug development issues. Case studies will illustrate the value of metabolic profiling in improving our understanding of phospholipidosis and peroxisome proliferation. A key message will be that metabolic profiling offers huge potential to highlight biomarkers and mechanisms in support of toxicology and pathology investigations in preclinical drug development.

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Year:  2008        PMID: 18337232     DOI: 10.1177/0192623307310947

Source DB:  PubMed          Journal:  Toxicol Pathol        ISSN: 0192-6233            Impact factor:   1.902


  48 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

2.  State-of-the art data normalization methods improve NMR-based metabolomic analysis.

Authors:  Stefanie M Kohl; Matthias S Klein; Jochen Hochrein; Peter J Oefner; Rainer Spang; Wolfram Gronwald
Journal:  Metabolomics       Date:  2011-08-12       Impact factor: 4.290

3.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

4.  Development of a plasma pseudotargeted metabolomics method based on ultra-high-performance liquid chromatography-mass spectrometry.

Authors:  Fujian Zheng; Xinjie Zhao; Zhongda Zeng; Lichao Wang; Wangjie Lv; Qingqing Wang; Guowang Xu
Journal:  Nat Protoc       Date:  2020-06-24       Impact factor: 13.491

5.  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

Review 6.  Toxicogenomic profiling of chemically exposed humans in risk assessment.

Authors:  Cliona M McHale; Luoping Zhang; Alan E Hubbard; Martyn T Smith
Journal:  Mutat Res       Date:  2010-04-09       Impact factor: 2.433

7.  Extraction of hydrophilic metabolites from Plasmodium falciparum-infected erythrocytes for metabolomic analysis.

Authors:  Kellen L Olszewski; Manuel Llinás
Journal:  Methods Mol Biol       Date:  2013

8.  Revisiting Protocols for the NMR Analysis of Bacterial Metabolomes.

Authors:  Steven Halouska; Bo Zhang; Rosmarie Gaupp; Shulei Lei; Emily Snell; Robert J Fenton; Raul G Barletta; Greg A Somerville; Robert Powers
Journal:  J Integr OMICS       Date:  2013-12

9.  Bioanalytical applications of surface-enhanced Raman spectroscopy: de novo molecular identification.

Authors:  Anh H Nguyen; Emily A Peters; Zachary D Schultz
Journal:  Rev Anal Chem       Date:  2017-07-05       Impact factor: 3.067

10.  Silent myocardial ischemia is associated with altered plasma phospholipids.

Authors:  Hailong Lin; Jing Zhang; Peng Gao
Journal:  J Clin Lab Anal       Date:  2009       Impact factor: 2.352

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