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Metabolic Profiling as a Tool for Understanding Mechanisms of Toxicity
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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Cited by
Global metabolic profiling of animal and human tissues via UPLC-MS
Want, E. J., Masson, P., Michopoulos, F., Wilson, I. D., Theodoridis, G., Plumb, R. S., Shockcor, J., Loftus, N., Holmes, E., & Nicholson, J. K. (2013) · Nature Protocols · doi:10.1038/nprot.2012.135 · Cited by 1,611
Analytical and statistical approaches to metabolomics research
Issaq, H. J., Van, Q. N., Waybright, T. J., Muschik, G. M., & Veenstra, T. D. (2009) · Journal of Separation Science · doi:10.1002/jssc.200900152 · Cited by 227
Wang, H.-Q., Tuominen, L. K., & Tsai, C.-J. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btq650 · Cited by 223
Gonzalez, E., van Liempd, S., Conde-Vancells, J., Gutierrez-de Juan, V., Perez-Cormenzana, M., Mayo, R., Berisa, A., Alonso, C., Marquez, C. A., Barr, J., et al. (2012) · Metabolomics · doi:10.1007/s11306-011-0329-9 · Cited by 69
Detection of Hepatotoxicity Potential with Metabolite Profiling (Metabolomics) of Rat Plasma
Mattes, W., Davis, K., Fabian, E., Greenhaw, J., Herold, M., Looser, R., Mellert, W., Groeters, S., Marxfeld, H., Moeller, N., et al. (2014) · Toxicology Letters · doi:10.1016/j.toxlet.2014.07.021 · Cited by 65
Metadata
- Authors
- Clarke, C. J., & Haselden, J. N.
- Venue
- Toxicologic Pathology
- Publisher
- SAGE Publications
- Published
- 2008-01
- Volume
- 36
- Issue
- 1
- Pages
- 140-147
- ISSN
- 0192-6233 (ISSN-L)
- 1533-1601
- OpenAlex
- W1981434053
- Cited by
- 216
- References
- 0
- FWCI
- 5.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- Clarke, C. J., & Haselden, J. N. (2008). Metabolic Profiling as a Tool for Understanding Mechanisms of Toxicity. Toxicologic Pathology. https://doi.org/10.1177/0192623307310947
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.