Journal
COMPUTATIONAL TOXICOLOGY
Volume 20, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.comtox.2021.100187
Keywords
In Silico; Computational toxicology; Organ toxicity; In silico toxicology protocols; Hepatotoxicity; Liver toxicity; Hazard identification; Risk assessment; QSAR; Expert Alerts; Read-across
Categories
Funding
- National Institutes of Health
- National Institute of Environmental Health Sciences of the National Institutes of Health [R44ES026909]
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Hepatotoxicity is a common adverse effect observed from exposure to xenobiotics, particularly in pharmaceutical research where it can lead to drug withdrawals, clinical failures, and discontinuation of drug candidates. More sustainable and informative methods for assessing hepatotoxicity are critically needed.
Hepatotoxicity is one of the most frequently observed adverse effects resulting from exposure to a xenobiotic. For example, in pharmaceutical research and development it is one of the major reasons for drug withdrawals, clinical failures, and discontinuation of drug candidates. The development of faster and cheaper methods to assess hepatotoxicity that are both more sustainable and more informative is critically needed. The biological mechanisms and processes underpinning hepatotoxicity are summarized and experimental approaches to support the prediction of hepatotoxicity are described, including toxicokinetic considerations. The paper describes the increasingly important role of in silico approaches and highlights challenges to the adoption of these methods including the lack of a commonly agreed upon protocol for performing such an assessment and the need for in silico solutions that take dose into consideration. A proposed framework for the integration of in silico and experimental information is provided along with a case study describing how computational methods have been used to successfully respond to a regulatory question concerning non-genotoxic impurities in chemically synthesized pharmaceuticals.
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