| Literature DB >> 35340402 |
Arianna Bassan1, Vinicius M Alves2, Alexander Amberg3, Lennart T Anger4, Scott Auerbach2, Lisa Beilke5, Andreas Bender6,7, Mark T D Cronin8, Kevin P Cross9, Jui-Hua Hsieh2, Nigel Greene10, Raymond Kemper11, Marlene T Kim12, Moiz Mumtaz13, Tobias Noeske14, Manuela Pavan1, Julia Pletz8, Daniel P Russo15,16, Yogesh Sabnis17, Markus Schaefer3, David T Szabo18, Jean-Pierre Valentin17, Joerg Wichard19, Dominic Williams20, David Woolley21, Craig Zwickl22, Glenn J Myatt9.
Abstract
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.Entities:
Keywords: Computational Toxicology; Expert Alerts; Hazard Identification; Hepatotoxicity; In Silico; In Silico Toxicology Protocols; Liver toxicity; Organ toxicity; QSAR; Read-across; Risk Assessment
Year: 2021 PMID: 35340402 PMCID: PMC8955833 DOI: 10.1016/j.comtox.2021.100187
Source DB: PubMed Journal: Comput Toxicol ISSN: 2468-1113