The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
NMR-Based Metabolomics: A Powerful Approach for Characterizing the Effects of Environmental Stressors on Organism Health
Abstract
It is important to assess the chronic effects of chemical, physical, and biological stressors on organisms in the environment. Appropriate methods must enable rapid, inexpensive, and multibiomarker analyses of organism health. Here we investigate withering syndrome in red abalone (Haliotis rufescens), an important wild and farmed shellfish species along the Pacific coast, using a metabolomic approach that combines the metabolic profiling capabilities of nuclear magnetic resonance spectroscopy (NMR) with pattern recognition methods. Foot muscle, digestive gland, and hemolymph samples were collected from healthy, stunted, and diseased abalone, and the extracts were analyzed by NMR. Following spectral preprocessing, principal components analyses of the metabolite profiles were conducted. Our results confirm that NMR-based metabolomics can successfully distinguish the biochemical profiles of the three groups of animals, in every type of tissue or biofluid studied. Furthermore, this discovery-based approach successfully identified novel metabolic biomarker profiles associated with withering syndrome. The application of these methods for investigating other environmental stressors is discussed, as are the advantages of NMR-based metabolomics for biomonitoring, particularly in conjunction with gene and protein expression profiling.
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Citations
Cites
Hypoxia-induced gene expression profiling in the euryoxic fish Gillichthys mirabilis
Gracey, A. Y., Troll, J. V., & Somero, G. N. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.98.4.1993 · Cited by 561
Cited by
Reflections on univariate and multivariate analysis of metabolomics data
Saccenti, E., Hoefsloot, H. C. J., Smilde, A. K., Westerhuis, J. A., & Hendriks, M. M. W. B. (2014) · Metabolomics · doi:10.1007/s11306-013-0598-6 · Cited by 658
Metabolite identification via the Madison Metabolomics Consortium Database
Cui, Q., Lewis, I. A., Hegeman, A. D., Anderson, M. E., Li, J., Schulte, C. F., Westler, W. M., Eghbalnia, H. R., Sussman, M. R., & Markley, J. L. (2008) · Nature Biotechnology · doi:10.1038/nbt0208-162 · Cited by 632
Applications of multi‐omics analysis in human diseases
Chen, C., Wang, J., Pan, D., Wang, X., Xu, Y., Yan, J., Wang, L., Yang, X., Yang, M., & Liu, G. (2023) · MedComm · doi:10.1002/mco2.315 · Cited by 545
Method validation strategies involved in non-targeted metabolomics
Naz, S., Vallejo, M., García, A., & Barbas, C. (2014) · Journal of Chromatography A · doi:10.1016/j.chroma.2014.04.071 · Cited by 332
Metabolomics of aquatic organisms: the new omics on the block
Viant, M. (2007) · Marine Ecology Progress Series · doi:10.3354/meps332301 · Cited by 187
Self-citationMasson, P., Alves, A. C., Ebbels, T. M. D., Nicholson, J. K., & Want, E. J. (2010) · Analytical Chemistry · doi:10.1021/ac101722e · Cited by 173
Metadata
- Authors
- Viant, M. R., Rosenblum, E. S., & Tjeerdema, R. S.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2003-09-19
- Volume
- 37
- Issue
- 21
- Pages
- 4982-4989
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W1987742440
- Cited by
- 461
- References
- 1
- FWCI
- 5.47
- Type
- journal article
- Language
- en
- Open access
- closed
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