Peer-Reviewed Publications

      Systems toxicology meta-analysis – From aerosol exposure to nanotoxicology

      Talikka, M.; Belcastro, V.; Gubian, S.; Martin, F.; Peitsch, M. C.; Hoeng, J.
      Published
      Apr 11, 2019
      DOI
      10.1016/j.cotox.2019.03.010
      Link to publication
      Topic
      Summary

      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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