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NMR and Pattern Recognition Studies on the Time-Related Metabolic Effects of α-Naphthylisothiocyanate on Liver, Urine, and Plasma in the Rat: An Integrative Metabonomic Approach
Abstract
We present here a novel integrative metabonomic approach to probe toxic effects of drugs in experimental animals using alpha-naphthylisothiocyanate (ANIT) as a model hepatotoxicant. Male Han-Wistar rats were dosed with ANIT (150 mg/kg, n = 25), and plasma and liver samples were collected for NMR and magic-angle spinning (MAS) NMR spectroscopy at 3, 7, 24, 31, and 168 h postdosing. Urine was collected continuously for 3 days prior to dosing and up to 168 h postdose. Histopathology and plasma clinical chemistry was also performed at all time points. Liver samples were analyzed either intact by 600 MHz 1H MAS NMR techniques or using high resolution (liquid state) 1H NMR of water-acetonitrile extracts. These data were related to sequential 1H NMR measurements in urine and plasma using pattern recognition methods. 1D 1H NMR spectra were data-reduced and analyzed using principal components analysis (PCA) to show the time-dependent biochemical variations induced by ANIT toxicity. From the eigenvector loadings of the PCA, those regions of the 1H NMR spectra and hence the combinations of endogenous metabolites marking the main phase of the toxic episode were identified. The ANIT-induced biochemical manifestations included a hepatic lipidosis associated with hyperlipidaemia; hyperglycaemia and glycosuria; increased urinary excretion of taurine and creatine; a shift in energy metabolism characterized by increased plasma ketone bodies with reduced urinary excretion of tricarboxylic acid cycle intermediates and raised hepatic bile acids leading to bile aciduria. The integration of metabolic data derived from several sources gives a holistic approach to the study of time-related toxic effects in the intact system and enables the characterization of key metabolic effects during the development and recovery from a toxic lesion.
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Cited by
Lindon, J. C., Holmes, E., Bollard, M. E., Stanley, E. G., & Nicholson, J. K. (2004) · Biomarkers · doi:10.1080/13547500410001668379 · Cited by 451
Self-citationSlupsky, C. M., Rankin, K. N., Wagner, J., Fu, H., Chang, D., Weljie, A. M., Saude, E. J., Lix, B., Adamko, D. J., Shah, S., et al. (2007) · Analytical Chemistry · doi:10.1021/ac0708588 · Cited by 401
Biomarkers for Prediction of Bovine Respiratory Disease Outcome
Aich, P., Babiuk, L. A., Potter, A. A., & Griebel, P. (2009) · OMICS: A Journal of Integrative Biology · doi:10.1089/omi.2009.0012 · Cited by 46
Huang, X., Shao, L., Gong, Y., Mao, Y., Liu, C., Qu, H., & Cheng, Y. (2008) · Journal of Chromatography B · doi:10.1016/j.jchromb.2008.05.049 · Cited by 43
Sun, B., Wang, X., Cao, R., Zhang, Q., Liu, Q., Xu, M., Zhang, M., Du, X., Dong, F., & Yan, X. (2016) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2016.10.042 · Cited by 35
Metadata
- Authors
- Waters, N. J., Holmes, E., Williams, A., Waterfield, C. J., Farrant, R. D., & Nicholson, J. K.
- Venue
- Chemical Research in Toxicology
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-10-01
- Volume
- 14
- Issue
- 10
- Pages
- 1401-1412
- ISSN
- 0893-228X (ISSN-L)
- 1520-5010
- OpenAlex
- W1978619016
- Cited by
- 198
- References
- 0
- FWCI
- 7.18
- Type
- journal article
- Language
- en
- Open access
- closed
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