Comprehensive summary – Predict-IV: A systems toxicology approach to improve pharmaceutical drug safety testing. Issue 1 (25th December 2015)

• Record Type: Journal Article
• Authors: Mueller, Stefan O.; Dekant, Wolfgang; Jennings, Paul; Testai, Emanuela; Bois, Frederic
• Is Part Of: Toxicology in vitro. Volume 30:Issue 1 Part A (2015)
• Page Start: 4
• Page End: 6
• Publication Date: 2015-12-25
• Subjects: Predict-IV -- Systems toxicology -- Cellular models -- Liver -- Kidney -- Central nervous system (CNS); Toxicity testing -- In vitro -- Periodicals; Toxicology -- Periodicals; 615.9
• DOI: 10.1016/j.tiv.2014.09.016
• Languages: English
• ISSNs: 0887-2333

Abstract

Highlights: Data-set of mechanistically-rich information for tissue-specific cell models. Long-term repeat-dose investigations in vitro . Transcriptomic, proteomic and metabolomic profiles. Integration of biokinetics and modeling. Quantification of intracellular concentrations and definition of NOEC. Abstract: This special issue of Toxicology in Vitro is dedicated to disseminating the results of the EU-funded collaborative project "Profiling the toxicity of new drugs: a non animal-based approach integrating toxicodynamics and biokinetics" (Predict-IV; Grant 202222). The project's overall aim was to develop strategies to improve the assessment of drug safety in the early stage of development and late discovery phase, by an intelligent combination of non animal-based test systems, cell biology, mechanistic toxicology and in silico modeling, in a rapid and cost effective manner . This overview introduces the scope and overall achievements of Predict-IV.