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Metabolomics-based methods for early disease diagnostics
Open accessAbstract
The emerging field of metabolomics, in which a large number of small-molecule metabolites from body fluids or tissues are detected quantitatively in a single step, promises immense potential for early diagnosis, therapy monitoring and for understanding the pathogenesis of many diseases. Metabolomics methods are mostly focused on the information-rich analytical techniques of NMR spectroscopy and mass spectrometry (MS). Analysis of the data from these high-resolution methods using advanced chemometric approaches provides a powerful platform for translational and clinical research and diagnostic applications. In this review, the current trends and recent advances in NMR- and MS-based metabolomics are described with a focus on the development of advanced NMR and MS methods, improved multivariate statistical data analysis and recent applications in the area of cancer, diabetes, inborn errors of metabolism and cardiovascular diseases.
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Cites
Mechanism of free fatty acid-induced insulin resistance in humans.
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Metabolomics and systems biology: making sense of the soup
KELL, D. (2004) · Current Opinion in Microbiology · doi:10.1016/j.mib.2004.04.012 · Cited by 529
Atherton, H. J., Bailey, N. J., Zhang, W., Taylor, J., Major, H., Shockcor, J., Clarke, K., & Griffin, J. L. (2006) · Physiological Genomics · doi:10.1152/physiolgenomics.00060.2006 · Cited by 159
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
Microbial disease and the coral holobiont
Bourne, D. G., Garren, M., Work, T. M., Rosenberg, E., Smith, G. W., & Harvell, C. D. (2009) · Trends in Microbiology · doi:10.1016/j.tim.2009.09.004 · Cited by 440
Salem, M. A., Perez de Souza, L., Serag, A., Fernie, A. R., Farag, M. A., Ezzat, S. M., & Alseekh, S. (2020) · Metabolites · doi:10.3390/metabo10010037 · Cited by 361
The dynamic range of the human metabolome revealed by challenges
Krug, S., Kastenmüller, G., Stückler, F., Rist, M. J., Skurk, T., Sailer, M., Raffler, J., Römisch‐Margl, W., Adamski, J., Prehn, C., et al. (2012) · The FASEB Journal · doi:10.1096/fj.11-198093 · Cited by 327
Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare
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Metadata
- Authors
- Gowda, G. N., Zhang, S., Gu, H., Asiago, V., Shanaiah, N., & Raftery, D.
- Venue
- Expert Review of Molecular Diagnostics
- Publisher
- Informa UK Limited
- Published
- 2008-09
- Volume
- 8
- Issue
- 5
- Pages
- 617-633
- ISSN
- 1473-7159 (ISSN-L)
- 1744-8352
- OpenAlex
- W2100463095
- Cited by
- 692
- References
- 4
- FWCI
- 9.43
- Type
- journal article
- Language
- en
- Open access
- green
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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.
