| Literature DB >> 24287156 |
Jos G Bessems1, George Loizou2, Kannan Krishnan3, Harvey J Clewell4, Camilla Bernasconi5, Frederic Bois6, Sandra Coecke5, Eva-Maria Collnot7, Walter Diembeck8, Lucian Romeo Farcal5, Liesbeth Geraets9, Ursula Gundert-Remy10, Nynke Kramer11, Gabriele Küsters12, Sofia B Leite13, Olavi R Pelkonen14, Klaus Schröder15, Emanuela Testai16, Iwona Wilk-Zasadna5, José-Manuel Zaldívar-Comenges5.
Abstract
Information on toxicokinetics is critical for animal-free human risk assessment. Human external exposure must be translated into human tissue doses and compared with in vitro actual cell exposure associated to effects (in vitro-in vivo comparison). Data on absorption, distribution, metabolism and excretion in humans (ADME) could be generated using in vitro and QSAR tools. Physiologically-based toxicokinetic (PBTK) computer modelling could serve to integrate disparate in vitro and in silico findings. However, there are only few freely-available PBTK platforms currently available. And although some ADME parameters can be reasonably estimated in vitro or in silico, important gaps exist. Examples include unknown or limited applicability domains and lack of (high-throughput) tools to measure penetration of barriers, partitioning between blood and tissues and metabolic clearance. This paper is based on a joint EPAA--EURL ECVAM expert meeting. It provides a state-of-the-art overview of the availability of PBTK platforms as well as the in vitro and in silico methods to parameterise basic (Tier 1) PBTK models. Five high-priority issues are presented that provide the prerequisites for wider use of non-animal based PBTK modelling for animal-free chemical risk assessment.Entities:
Keywords: AD; Development stage; In silico (QSAR) tools; In vitro methods; PBTK; SPME; Tier 1 model; applicability domain; physiologically-based toxicokinetic; solid phase microextraction
Mesh:
Substances:
Year: 2013 PMID: 24287156 DOI: 10.1016/j.yrtph.2013.11.008
Source DB: PubMed Journal: Regul Toxicol Pharmacol ISSN: 0273-2300 Impact factor: 3.271