Principles and Procedures for Assessment of Acute Toxicity Incorporating In Silico Methods.
Craig M ZwicklJessica GrahamRobert JollyArianna BassanErnst AhlbergAlexander AmbergLennart T AngerTara Barton-MaclarenLisa BeilkePhillip BellionAlessandro BrigoMark T D CroninLaura CusterAmy DevlinHeather Burleigh-FlayersTrevor FishKyle GloverSusanne GlowienkeKamila GromekDavid JonesAgnes KarmausRay KemperElena Lo PiparoFederica MadiaMatthew MartinMelisa Masuda-HerreraBritt McAteeJordi MestreLawrence MilchakChandrika MoudgalMoiz MumtazWolfgang MusterLouise NeilsonGrace PatlewiczAlexandre PaulinoAlessandra RoncaglioniPatricia RuizDiana SuarezDavid T SzaboJean-Pierre ValentinIoanna VardakouDavid WoolleyGlenn MyattPublished in: Computational toxicology (Amsterdam, Netherlands) (2022)
Acute toxicity in silico models are being used to support an increasing number of application areas including (1) product research and development, (2) product approval and registration as well as (3) the transport, storage and handling of chemicals. The adoption of such models is being hindered, in part, because of a lack of guidance describing how to perform and document an in silico analysis. To address this issue, a framework for an acute toxicity hazard assessment is proposed. This framework combines results from different sources including in silico methods and in vitro or in vivo experiments. In silico methods that can assist the prediction of in vivo outcomes (i.e., LD 50 ) are analyzed concluding that predictions obtained using in silico approaches are now well-suited for reliably supporting assessment of LD 50 -based acute toxicity for the purpose of GHS classification. A general overview is provided of the endpoints from in vitro studies commonly evaluated for predicting acute toxicity (e.g., cytotoxicity/cytolethality as well as assays targeting specific mechanisms). The increased understanding of pathways and key triggering mechanisms underlying toxicity and the increased availability of in vitro data allow for a shift away from assessments solely based on endpoints such as LD 50 , to mechanism-based endpoints that can be accurately assessed in vitro or by using in silico prediction models. This paper also highlights the importance of an expert review of all available information using weight-of-evidence considerations and illustrates, using a series of diverse practical use cases, how in silico approaches support the assessment of acute toxicity.