Objective
The ability of some compounds to prolong the QT interval of the electrocardiogram and to precipitate Torsade de Pointes (TdP, a potentially fatal arrhythmia) has caused several regulatory interventions, including drug withdrawals. Specific guidelines have been implemented to detect QT liability of new compounds as early as possible. However there is growing evidence that an increase in the QT interval does not necessarily lead to TdP which further increased the regulatory and clinical difficulties. This proposal will assess the arrhythmogenic potential of antipsychotics, antihistamines and anti-infectives (> 250 compounds). It will fulfill this aim by: reviewing the literature on in-vitro and in-vivo preclinical evidence; conducting in-silico modeling to predict the arrhythmic potential through target profiling and docking molecules in existing atomistic models and predicting the effects on hERG K+, Na+, Ca++ channels; analyzing the information in national and international pharmacovigilance DBs of spontaneous reports; conducting prospective case control surveillance on symptomatic QT prolongation; conducting cohort studies in psychiatric and hematology patients; analyzing information from existing studies to assess the association between drug use and various arrhythmia outcomes; and collecting blood samples from cases and drug-matched controls to investigate potential effect modification by candidate genes and a hypothesis generating approach including more than 2000 genes. Healthcare DBs on 27 million persons in 5 countries will be used to calculate rates and relative risks of arrhythmic events during drug use. Predictions on arrhythmic potential will be compared with actual postmarketing risk to assess the predictive value of preclinical markers. All information will be integrated to allow for ranking the arrhythmic potential of all the 250 study drugs and creation of risk charts that will allow for more informed treatment and decision making.
Fields of science (EuroSciVoc)
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 sciencesclinical medicinecardiologycardiovascular diseasescardiac arrhythmia
- medical and health sciencesclinical medicinehematology
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Topic(s)
Call for proposal
FP7-HEALTH-2009-single-stage
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Funding Scheme
CP-FP - Small or medium-scale focused research projectCoordinator
3015 GD Rotterdam
Netherlands
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Participants (19)
08003 Barcelona
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WC1E 7HT London
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40126 Bologna
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Participation ended
28359 Bremen
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NE1 7RU Newcastle Upon Tyne
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33076 BORDEAUX CEDEX
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27100 PAVIA
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10117 Berlin
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37129 Verona
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SW17 0RE London
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151 85 Sodertaelje
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3528AE Utrecht
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50142 Firenze
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8200 Aarhus
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1105AZ Amsterdam
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SO31 1AA Southampton
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28359 Bremen
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28006 Madrid
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3528 AE Utrecht
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