The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Modern analytical techniques in metabolomics analysis
Abstract
Metabolomics is the comprehensive assessment of endogenous metabolites and attempts to systematically identify and quantify metabolites from a biological sample. Small-molecule metabolites have an important role in biological systems and represent attractive candidates to understand disease phenotypes. Metabolites represent a diverse group of low-molecular-weight structures including lipids, amino acids, peptides, nucleic acids, organic acids, vitamins, thiols and carbohydrates, which makes global analysis a difficult challenge. The recent rapid development of a range of analytical platforms, including GC, HPLC, UPLC, CE coupled to MS and NMR spectroscopy, could enable separation, detection, characterization and quantification of such metabolites and related metabolic pathways. Owing to the complexity of the metabolome and the diverse properties of metabolites, no single analytical platform can be applied to detect all metabolites in a biological sample. The combined use of modern instrumental analytical approaches has unravelled the ideal outcomes in metabolomics, and is beneficial to increase the coverage of detected metabolites that can not be achieved by single-analysis techniques. Integrated platforms have been frequently used to provide sensitive and reliable detection of thousands of metabolites in a biofluid sample. Continued development of these analytical platforms will accelerate widespread use and integration of metabolomics into systems biology. Here, the application of each hyphenated technique is discussed and its strengths and limitations are discussed with selected illustrative examples; furthermore, this review comprehensively highlights the role of integrated tools in metabolomic research.
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Cites
Human metabolic phenotype diversity and its association with diet and blood pressure
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Cited by
Gut microbiota-derived metabolites as key actors in inflammatory bowel disease
Lavelle, A., & Sokol, H. (2020) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-019-0258-z · Cited by 2,015
Gromski, P. S., Muhamadali, H., Ellis, D. I., Xu, Y., Correa, E., Turner, M. L., & Goodacre, R. (2015) · Analytica Chimica Acta · doi:10.1016/j.aca.2015.02.012 · Cited by 905
Livestock metabolomics and the livestock metabolome: A systematic review
Goldansaz, S. A., Guo, A. C., Sajed, T., Steele, M. A., Plastow, G. S., & Wishart, D. S. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177675 · Cited by 379
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Mass spectrometric based approaches in urine metabolomics and biomarker discovery
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Metadata
- Authors
- Zhang, A., Sun, H., Wang, P., Han, Y., & Wang, X.
- Venue
- The Analyst
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 137
- Issue
- 2
- Pages
- 293-300
- ISSN
- 0003-2654 (ISSN-L)
- 1364-5528
- OpenAlex
- W2085578084
- Cited by
- 877
- References
- 3
- FWCI
- 16.11
- Type
- journal article
- Language
- en
- Open access
- closed
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