In silico approaches in organ toxicity hazard assessment: Current status and future needs for predicting heart,

Arianna Bassan1, Vinicius M Alves2, Alexander Amberg3

  • 1Innovatune srl, Via Giulio Zanon 130/D, 35129 Padova, Italy.

Insights

New methods using *in vitro* and *in silico* approaches are emerging to predict kidney, heart, and lung toxicities. Challenges remain in mechanistic understanding and data integration for widespread adoption in toxicity assessments.

Area of Science:

  • Toxicology
  • Computational Biology
  • Pharmacology

Background:

  • Kidneys, heart, and lungs are critical organ systems assessed for toxicity.
  • Adverse effects are currently evaluated through traditional toxicity assessments.
  • Emerging *in vitro* and *in silico* methods offer predictive capabilities.

Purpose of the Study:

  • To review the current state of art in predicting organ toxicities using *in vitro* and *in silico* methods.
  • To outline biological basis, processes, and endpoints for kidney, pulmonary, and cardiac toxicities.
  • To describe current experimental and *in silico* approaches and their limitations.

Main Methods:

  • Review of current literature on *in vitro* and *in silico* toxicity prediction.
  • Analysis of biological basis, processes, and endpoints for organ toxicities.
  • Examination of experimental approaches including secondary pharmacology panels.
  • Description of *in silico* prediction methods and associated obstacles.

Main Results:

  • Detailed review of kidney, pulmonary, and cardiac toxicity assessment methodologies.
  • Identification of current experimental and *in silico* approaches for toxicity prediction.
  • Elucidation of obstacles hindering the widespread use of *in silico* methods.

Conclusions:

  • A standardized protocol for organ toxicity assessment would be valuable for regulatory and industrial applications.
  • Widespread deployment of predictive methods is impeded by lack of mechanistic understanding, limited *in vitro* data, and insufficient *in vivo* databases.
  • Further development is needed in incorporating ADME, safe dose prediction models, and a framework for toxicant characteristics.