AI Article Synopsis

  • Genomics technologies have potential applications in toxicology, but their effectiveness in predicting compound toxicity through in vitro studies needs more research.
  • An interlaboratory study involving four pharmaceutical companies was conducted to evaluate gene expression patterns in rat liver cells after exposure to methapyrilene, revealing that while data comparison is complex, proper statistical methods can distinguish between treated and untreated cells.
  • Results indicate that in vitro toxicogenomics may serve as a predictive tool for toxicity, despite variability in gene expression across different labs, and further investigation is needed to determine the specific role of identified genes in toxicity.

Article Abstract

Genomics technologies are used in several disciplines, including toxicology. However, these technologies are relatively new, and their applications require further investigations. When investigators apply these technologies to in vitro experiments, two major issues need to be clarified: a) can in vitro toxicity studies, in combination with genomics analyses, be used to predict the toxicity of a compound; and b) are the generated toxicogenomics data reproducible between laboratories? These questions were addressed by an interlaboratory study with laboratories of four pharmaceutical companies. We evaluated gene expression patterns from cultured rat primary hepatocytes after a 24-hr incubation with methapyrilene (MP). Extensive data analysis showed that comparison of genomics data from different sources is complex because both experimental and statistical variability are important confounding factors. However, appropriate statistical tools allowed us to use gene expression profiles to distinguish high-dose-treated cells from vehicle-treated cells. Moreover, we correctly identified MP in an independently generated in vitro database, underlining that in vitro toxicogenomics could be a predictive tool for toxicity. From a mechanistic point of view, despite the observed site-to-site variability, there was good concordance regarding the affected biologic processes. Several subsets of regulated genes were obtained by analyzing the data sets with one method or using different statistical analysis methods. The identified genes are involved in cellular processes that are associated to the exposure of primary hepatocytes to MP. Whether they are specific for MP and are cause or consequence of the toxicity requires further investigations.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1332662PMC
http://dx.doi.org/10.1289/ehp.7915DOI Listing

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