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The use of biomarkers of toxicity for integrating in vitro hazard estimates into risk assessment for humans
Author(s) -
Bas J. Blaauboer,
Kim Boekelheide,
Harvey J. Clewell,
Mardas Daneshian,
Milou M.L. Dingemans,
Alan M. Goldberg,
Marjoke Heneweer,
Joanna Jaworska,
Nynke I. Kramer,
Marcel Leist,
Hasso Seibert,
Emanuela Testai,
Rob J. Vandebriel,
James D. Yager,
Joanne Zurlo
Publication year - 2012
Publication title -
altex
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.975
H-Index - 51
eISSN - 1868-8551
pISSN - 1868-596X
DOI - 10.14573/altex.2012.4.411
Subject(s) - risk assessment , context (archaeology) , toxicodynamics , computer science , in vitro toxicology , risk analysis (engineering) , hazard analysis , toxicity , in vivo , hazard , biochemical engineering , biology , toxicokinetics , chemistry , reliability engineering , engineering , medicine , microbiology and biotechnology , organic chemistry , paleontology , ecology , computer security
The role that in vitro systems can play in toxicological risk assessment is determined by the appropriateness of the chosen methods, with respect to the way in which in vitro data can be extrapolated to the in vivo situation. This report presents the results of a workshop aimed at better defining the use of in vitro-derived biomarkers of toxicity (BoT) and determining the place these data can have in human risk assessment. As a result, a conceptual framework is presented for the incorporation of in vitro-derived toxicity data into the risk assessment process. The selection of BoT takes into account that they need to distinguish adverse and adaptive changes in cells. The framework defines the place of in vitro systems in the context of data on exposure, structural and physico-chemical properties, and toxicodynamic and biokinetic modeling. It outlines the determination of a proper point-of-departure (PoD) for in vitro-in vivo extrapolation, allowing implementation in risk assessment procedures. A BoT will need to take into account both the dynamics and the kinetics of the compound in the in vitro systems. For the implementation of the proposed framework it will be necessary to collect and collate data from existing literature and new in vitro test systems, as well as to categorize biomarkers of toxicity and their relation to pathways-of-toxicity. Moreover, data selection and integration need to be driven by their usefulness in a quantitative in vitro-in vivo extrapolation (QIVIVE).

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