Development of Tailored Antimicrobial Treatment Regimens and Novel Host-Pathogen Insights for Respiratory Tract Infections and Sepsis - TAILORED-Treatment
The TAILORED-Treatment project is designed to maximize impact on patients and physicians while integrating and synergising with current EU funded research strategies. The result will be a large-scale unique multi-dimensional dataset stored in a publically available database, which is accessible to the EU scientific and clinical community.
A collaborative research project funded by the European Commission 7th Framework Programme, within the Theme: HEALTH.2013.2.3.1-2, with 5.975 M€ for 2013-2017. The TAILORED-Treatment consortium is comprised of: 1) Erasmus University Medical Centre, Rotterdam NL; 2) IBEXPERTS Ltd., Amsterdam NL; 3) University of Utrecth Medical Centre, Utrecht NL; 4) Hadassah Medical Org., Jerusalem IS; 5) MeMed Diagnostics, Tirat Carmel IS; 6) University of Gothenburg/Chalmers Technical University, Gothenburg SE; 7) Noray Bioinformatics SL., Bilbao ES.
The Principle Researchers from University of Gothenburg/Chalmers Technical University include: Edward Moore (Principle Investigator), Roger Karlsson and Erik Kristiansson.
One of the most important advances in medicine and healthcare for the treatment of infectious disease for more than seventy years, the heavy use of antibiotics also has led to the emergence of antimicrobial-resistance and severe global health and economic consequences. Current diagnostic tools for facilitating the appropriate antibiotic response for patients are proving to be inadequate; a major driver of antibiotic misuse is the inability to accurately distinguish bacterial and viral infections. This project will establish a broad-based strategy that can be implemented to increase the effectiveness of antimicrobial therapy and help limit the emergence of antimicrobial resistance in infectious disease. State-of-the-art molecular technologies will be applied to characterize host-pathogen interactions at the genomic, transcriptomic, proteomic and clinical levels, resulting in large-scale and unique multi-dimensional datasets. The consortium will develop new computational tools to interrogate these data, providing new insights into personalized host-pathogen interactions, including the discovery of novel biomarkers for patient diagnosis and disease monitoring. This unique multi-dimensional dataset and predictive treatment algorithm will be built into an easily navigable web-based, free-to-use, decision support system for assisting in patient-tailored antimicrobial treatment decisions. The TAILORED-Treatment project is a multi-faceted approach that will develop novel omics-based personalized treatment schemes with potential to reduce antibiotic consumption and help limit the spread of antibiotic resistance.