The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.
Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis
Abstract
In this review, metabonomics, a combination of data-rich analytical chemical measurements and chemometrics for profiling metabolism in complex systems, is described and its applications are reviewed. Metabonomics is typically carried out using biofluids or tissue samples. The relevance of the technique is reviewed in relation to other '-omics', and it is shown how the methods can be applied to physiological evaluation, drug safety assessment, characterization of genetically modified animal models of disease, diagnosis of human disease, and drug therapy monitoring. The different types of analytical data, mainly from nuclear magnetic resonance spectroscopy and mass spectrometry, are summarized. The outputs from a metabonomics study allow sample classification, for example according to phenotype, drug safety or disease diagnosis, and interpretation of the reasons for classification yields information on combination biomarkers of effect. Transcriptomic and metabonomic data is currently being further integrated into a holistic understanding of systems biology. An assessment of the possible future role and impact of metabonomics is presented.
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Cites
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Self-citationMetabolomics—the link between genotypes and phenotypes
Fiehn, O. (2002) · Plant Molecular Biology · doi:10.1023/a:1013713905833 · Cited by 3,445
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Metabonomics: a platform for studying drug toxicity and gene function
Nicholson, J. K., Connelly, J., Lindon, J. C., & Holmes, E. (2002) · Nature Reviews Drug Discovery · doi:10.1038/nrd728 · Cited by 1,914
Self-citationBrindle, J. T., Antti, H., Holmes, E., Tranter, G., Nicholson, J. K., Bethell, H. W. L., Clarke, S., Schofield, P. M., McKilligin, E., Mosedale, D. E., et al. (2002) · Nature Medicine · doi:10.1038/nm1202-802 · Cited by 1,029
Self-citationA functional genomics strategy that uses metabolome data to reveal the phenotype of silent mutations
Raamsdonk, L. M., Teusink, B., Broadhurst, D., Zhang, N., Hayes, A., Walsh, M. C., Berden, J. A., Brindle, K. M., Kell, D. B., Rowland, J. J., et al. (2001) · Nature Biotechnology · doi:10.1038/83496 · Cited by 1,005
High resolution proton magnetic resonance spectroscopy of biological fluids
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Self-citation(1965) · Nature · doi:10.1038/208021c0 · Cited by 611
Comparative biochemistry and physiology
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Pattern recognition methods and applications in biomedical magnetic resonance
Lindon, J. C., Holmes, E., & Nicholson, J. K. (2001) · Progress in Nuclear Magnetic Resonance Spectroscopy · doi:10.1016/s0079-6565(00)00036-4 · Cited by 425
Self-citation
Cited by
Clayton, T. A., Baker, D., Lindon, J. C., Everett, J. R., & Nicholson, J. K. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904489106 · Cited by 765
Self-citationSystemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes
Claus, S. P., Tsang, T. M., Wang, Y., Cloarec, O., Skordi, E., Martin, F., Rezzi, S., Ross, A., Kochhar, S., Holmes, E., et al. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.56 · Cited by 334
Self-citationMetabolomic Mapping of Atypical Antipsychotic Effects in Schizophrenia
Kaddurah-Daouk, R., McEvoy, J., Baillie, R. A., Lee, D., Yao, J. K., Doraiswamy, P. M., & Krishnan, K. R. R. (2007) · Molecular Psychiatry · doi:10.1038/sj.mp.4002000 · Cited by 262
Chen, Y., Zhang, R., Song, Y., He, J., Sun, J., Bai, J., An, Z., Dong, L., Zhan, Q., & Abliz, Z. (2009) · The Analyst · doi:10.1039/b907243h · Cited by 261
Metabolomics and Cardiovascular Biomarker Discovery
Rhee, E. P., & Gerszten, R. E. (2012) · Clinical Chemistry · doi:10.1373/clinchem.2011.169573 · Cited by 232
Metadata
- Authors
- Lindon, J. C., Holmes, E., Bollard, M. E., Stanley, E. G., & Nicholson, J. K.
- Venue
- Biomarkers
- Publisher
- Informa UK Limited
- Published
- 2004-01
- Volume
- 9
- Issue
- 1
- Pages
- 1-31
- ISSN
- 1354-750X (ISSN-L)
- 1366-5804
- OpenAlex
- W1995051707
- Cited by
- 451
- References
- 45
- FWCI
- 9.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lindon, J. C., Holmes, E., Bollard, M. E., Stanley, E. G., & Nicholson, J. K. (2004). Metabonomics technologies and their applications in physiological monitoring, drug safety assessment and disease diagnosis. Biomarkers. https://doi.org/10.1080/13547500410001668379
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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