The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Metabonomics: Evaluation of Nuclear Magnetic Resonance (NMR) and Pattern Recognition Technology for Rapid in Vivo Screening of Liver and Kidney Toxicants
Abstract
The purpose of this study was to evaluate the feasibility of metabonomics technology for developing a rapid-throughput toxicity screen using 2 known hepatotoxicants: carbon tetrachloride (CCl(4)) and alpha-naphthylisothiocyanate (ANIT) and 2 known nephrotoxicants: 2-bromoethylamine (BEA) and 4-aminophenol (PAP). In addition, the diuretic furosemide (FURO) was also studied. Single doses of CCl(4) (0.1 and 0.5 ml/kg), ANIT (10 and 100 mg/kg), BEA (15 and 150 mg/kg), PAP (15 and 150 mg/kg) and FURO (1 and 5 mg) were administered as single IP or oral doses to groups of 4 male Wistar rats/dose. Twenty-four-h urine samples were collected pretest, daily through Day 4, and on Day 10 (high dose CCl(4) and BEA only). Blood samples were taken on Days 1, 2, and 4 or 1, 4, and 10 for clinical chemistry assessment, and the appropriate target organ was examined microscopically. NMR spectra of urine were acquired and the data processed and subjected to principal component analyses (PCA). The results demonstrated that the metabonomic approach could readily distinguish the onset and reversal of toxicity with good agreement between clinical chemistry and PCA data. In at least 2 instances (ANIT and BEA), PCA analysis suggested effects at low doses, which were not as evident by clinical chemistry or microscopic analysis. Furosemide, which had no effect at the doses employed, did not produce any changes in PCA patterns. These data support the contention that the metabonomic approach represents a promising new technology for the development of a rapid throughput in vivo toxicity screen.
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Lindon, J. C., Nicholson, J. K., & Everett, J. R. (1999) · Annual Reports on NMR Spectroscopy · doi:10.1016/s0066-4103(08)60035-6 · Cited by 395
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Gartland, K. P., Bonner, F. W., & Nicholson, J. K. (1989) · Molecular Pharmacology · doi:10.1016/s0026-895x(25)10952-8 · Cited by 213
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Spraul, M., Neidig, P., Klauck, U., Kessler, P., Holmes, E. C., Nicholson, J. K., Sweatman, B. C., Salman, S. R., Farrant, R. D., Rahr, E., et al. (1994) · Journal of Pharmaceutical and Biomedical Analysis · doi:10.1016/0731-7085(94)00073-5 · Cited by 107
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Fiehn, O. (2002) · Plant Molecular Biology · doi:10.1023/a:1013713905833 · Cited by 3,445
Metabolomics — the link between genotypes and phenotypes
Fiehn, O. (2002) · Functional Genomics · doi:10.1007/978-94-010-0448-0_11 · Cited by 3,167
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
Combining genomics, metabolome analysis, and biochemical modelling to understand metabolic networks
Fiehn, O. (2001) · Comparative and Functional Genomics · doi:10.1002/cfg.82 · Cited by 934
Analytical Strategies in Metabonomics
Lenz, E. M., & Wilson, I. D. (2007) · Journal of Proteome Research · doi:10.1021/pr0605217 · Cited by 530
Metadata
- Authors
- Robertson, D. G.
- Venue
- Toxicological Sciences
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-10-01
- Volume
- 57
- Issue
- 2
- Pages
- 326-337
- ISSN
- 1096-0929 (ISSN-L)
- OpenAlex
- W2129314769
- Cited by
- 255
- References
- 14
- FWCI
- 3.83
- Type
- journal article
- Language
- en
- Open access
- closed
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- Robertson, D. G. (2000). Metabonomics: Evaluation of Nuclear Magnetic Resonance (NMR) and Pattern Recognition Technology for Rapid in Vivo Screening of Liver and Kidney Toxicants. Toxicological Sciences. https://doi.org/10.1093/toxsci/57.2.326
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