Peer-Reviewed Publication
Full Title
Systems toxicology meta-analysis – from aerosol exposure to nanotoxicology
Authored by
M Talikka, V Belcastro, S Gubian, F Martin, M Peitsch, J Hoeng
Published in Current Opinion in Toxicology
AbstractPublished in Current Opinion in Toxicology
Systems toxicology marks an important stage in the evolution of toxicology. It combines the insights from traditional toxicology endpoints, high-throughput data, and quantitative analysis of large cause-and-effect molecular network models that provide the most mechanistic information in the interpretation of high-throughput data. Here, we show an example how pulmonary causal biological network models can be used in a meta-analysis of independent studies on engineered nanomaterials (ENM) to gain mechanistic insight into the similarities and differences of the ways the ENMs impact biological processes in the mouse lung. Meta-analyses using the lung network models could be used in various toxicological applications to find underlying trends in response to exposures, derive compound-specific mechanistic signatures, and translate between species.
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Published On
April 11, 2019 -
Full publication
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DOI
10.1016/j.cotox.2019.03.010