Objective
TransQST will develop a Quantitative Systems Toxicology (QST) approach, employing pre-existing data where possible, in order to yield new mechanistic insight into drug-induced toxicity. A central tenet of our programme will be to ensure the human physiological and pharmacological relevance of any test system that has been (or will be) used for generating the input data for modelling. By adopting this approach, we will be able to accurately interpret what happens when test systems are perturbed by drug exposure, and ensure translatability of modelling tools. Mechanistic translational biomarkers are a core aspect of our approach and will be applied in parallel with evidence for understanding how to develop, model and apply such biomarkers in a QST setting. The project is structured in 8 work packages to provide the following outcomes: curate the best available experimental data suitable for modelling adverse drug reactions; provide fit-for-purpose QST models that will address key toxicity measures for liver, kidney, heart and GI-tract; provide quantitative risk assessment for off-target toxicity in man based on in vitro and in vivo models; provide a quantitative mechanistic read-across from species (in vivo and in vitro) currently used for the toxicological evaluation of a new drug; provide definition and applicability of the human physiological relevance of preclinical test systems; provide a battery of translational biomarkers that can be used for quantitative read-across from in vitro systems to man and which relate to intracellular pathways (and systems) relevant to drug toxicity. Led by the University of Liverpool, TransQST brings together 14 partners, characterized by their scientific rigour and proven track record. Collectively they will enable achievement of the goals of the call, thanks to their complementarity, proven ability to work together (and with EFPIA partners), and their understanding of how to ensure the relevance of QST to human biology.
Fields of science
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- medical and health sciencesbasic medicinepharmacology and pharmacydrug safety
- medical and health sciencesclinical medicinecardiologycardiovascular diseasescardiac arrhythmia
- medical and health sciencesbasic medicinepharmacology and pharmacyadverse drug reactions
- medical and health sciencesbasic medicinetoxicology
Keywords
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
L69 7ZX Liverpool
United Kingdom
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Participants (23)
2311 EZ Leiden
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08003 Barcelona
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28006 Madrid
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
6200 MD Maastricht
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69117 Heidelberg
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OX1 2JD Oxford
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EC2Y 5EB London
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1010 Wien
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Participation ended
52074 Aachen
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44139 Dortmund
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2333 CH LEIDEN
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3015 GD Rotterdam
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65205 Wiesbaden
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RG21 4FA Basingstoke
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94250 GENTILLY
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151 85 Sodertaelje
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WC1A 1DG LONDON
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91190 GIF-SUR-YVETTE
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2340 Beerse
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02200 Espoo
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55218 Ingelheim
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69120 Heidelberg
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W2 6BD London
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