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Drug development

Predicting toxicity

Nature Reviews Drug Discovery volume 6, page 956 (2007)Cite this article

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Their metabonomics-based method involved profiling compound-induced perturbations in urinary metabolites using 1H nuclear magnetic resonance spectroscopy (NMR). Their study included 80 compounds that were selected to cover a diverse range of structures and toxicities, with an emphasis on liver and kidney toxins as these are the major organs involved in toxicity.

Urine samples were collected from male rats both prior to and at various time points over 7 days following treatment with a single dose of compound. This culminated in 6,260 control and 6,675 treated urine samples from 1,652 rats. Histopathology and clinical chemistry evaluations were carried out at 48 and 168 hours post-dose, respectively, to monitor toxicity.

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References

ORIGINAL RESEARCH PAPER

  1. Ebbels, T. et al. Prediction and classification of drug toxicity using probabilistic modeling of temporal metabolic data: the consortium on metabonomic toxicology screening approach. J. Prot. Res. 6, 4407–4422 (2007)

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FURTHER READING

  1. Lindon, J. et al. The Consortium for Metabonomic Toxicology (COMET): aims, activities and achievements. Pharmacogenomics 6, 691–699 (2005)

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Authors
  1. Sarah Crunkhorn
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Crunkhorn, S. Predicting toxicity. Nat Rev Drug Discov 6, 956 (2007). https://doi.org/10.1038/nrd2470

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