The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Challenges and opportunities of metabolomics
Open accessAbstract
The metabolome is a data‐rich source of information concerning all the low‐molecular‐weight metabolites in a biofluid, which can indicate early biological changes to the host due to perturbations in metabolic pathways. Major changes can be seen after minor stimuli, which make it a valuable target for analysis. Due to the diverse and sensitive nature of the metabolome, studies must be designed in a manner to maintain consistency, reduce variation between subjects, and optimize information recovery. Technological advancements in experimental design, mouse models and instrumentation have aided in this effort. Metabolomics has the ultimate potential to be valuable in a clinical setting where it could be used for early diagnosis of a disease and as a predictor of treatment response and survival. During drug treatment, the metabolic status of an individual could be monitored and used to indicate possible toxic effects. Metabolomics therefore has great potential for improving diagnosis, treatment and aftercare of disease. J. Cell. Physiol. 227: 2975–2981, 2012. Published 2011. This article is a U.S. Government work and is in the public domain in the USA.
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Cites
The Effect of Diet on the Human Gut Microbiome: A Metagenomic Analysis in Humanized Gnotobiotic Mice
Turnbaugh, P. J., Ridaura, V. K., Faith, J. J., Rey, F. E., Knight, R., & Gordon, J. I. (2009) · Science Translational Medicine · doi:10.1126/scitranslmed.3000322 · Cited by 3,058 · cited 1×
“These mice are germ-free at birth and are colonized with human adult fecal microbiota (Turnbaugh et al., 2009) or human newborn fecal microbiota (Martin et al., 2007).”
BackgroundPharmaco-metabonomic phenotyping and personalized drug treatment
Andrew Clayton, T., Lindon, J. C., Cloarec, O., Antti, H., Charuel, C., Hanton, G., Provost, J.-P., Le Net, J.-L., Baker, D., Walley, R. J., et al. (2006) · Nature · doi:10.1038/nature04648 · Cited by 824 · cited 1×
“Pharmacometabolomics was first defined by its pseudonym pharmacometabonomics as ‘‘the prediction of the outcome of a drug or xenobiotic intervention in an individual based on a mathematical model of preintervention metabolite signatures’’ (Clayton et al., 2006).”
BackgroundSystemic gut microbial modulation of bile acid metabolism in host tissue compartments
Swann, J. R., Want, E. J., Geier, F. M., Spagou, K., Wilson, I. D., Sidaway, J. E., Nicholson, J. K., & Holmes, E. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1006734107 · Cited by 726
Cited by
Metabolomics: beyond biomarkers and towards mechanisms
Johnson, C. H., Ivanisevic, J., & Siuzdak, G. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.25 · Cited by 2,829
Self-citationKuehnbaum, N. L., & Britz-McKibbin, P. (2013) · Chemical Reviews · doi:10.1021/cr300484s · Cited by 354
Mass spectrometric based approaches in urine metabolomics and biomarker discovery
Khamis, M. M., Adamko, D. J., & El‐Aneed, A. (2017) · Mass Spectrometry Reviews · doi:10.1002/mas.21455 · Cited by 342
Unraveling Arbuscular Mycorrhiza-Induced Changes in Plant Primary and Secondary Metabolome
Kaur, S., & Suseela, V. (2020) · Metabolites · doi:10.3390/metabo10080335 · Cited by 265
Meyer, U. A., Zanger, U. M., & Schwab, M. (2013) · Annual Review of Pharmacology and Toxicology · doi:10.1146/annurev-pharmtox-010510-100502 · Cited by 157
Metadata
- Authors
- Johnson, C. H., & Gonzalez, F. J.
- Venue
- Journal of Cellular Physiology
- Publisher
- Wiley
- Published
- 2012-04-23
- Volume
- 227
- Issue
- 8
- Pages
- 2975-2981
- ISSN
- 0021-9541 (ISSN-L)
- 1097-4652
- OpenAlex
- W2087129770
- Cited by
- 311
- References
- 3
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- green
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