Objective
Rationale
The inability of pre-clinical studies to predict clinical efficacy is a major bottleneck in drug development. In severe asthma this bottleneck results from: a lack of useful and validated biomarkers, underperforming pre-clinical models, inadequate and incomplete sub-phenotyping, and insufficient disease understanding.
Hypothesis
The use of biomarker profiles comprised of various types of high-dimensional data, integrated with an innovative systems biology approach into distinct phenotype handprints, will enable significantly better prediction of therapeutic efficacy than single or even clustered biomarkers of one data type and will identify novel targets.
Strategy
U-BIOPRED proposes a staged-strategy:
I)Generating an international consensus on diagnostic criteria for severe asthma.
II)Unbiased discovery of sub-phenotypes of severe asthma in adult and paediatric patient cohorts using biomarker profiles (“fingerprints”) and systems biology to define “phenotype/handprints”.
III)Validating the handprints for exacerbations, disease progression, and experimental challenges.
IV)Using the handprints to improve human/animal in vivo and ex vivo models.
V)Establishing the responsiveness and predictability of the handprints in gold standard and experimental therapeutic interventions.
VI)Refinement of the diagnostic criteria and definition of severe asthma sub-phenotypes by incorporating the handprints, thereby enabling more focused drug development and faster delivery proof of concept for novel drugs.
VII)Education, training and dissemination through a stakeholder platform and academic-industrial exchange, with potential for further growth as appropriate.
Innovative approach
We will use a novel systems biology approach to integrate high dimensional data from invasive, non-invasive and patient-reported outcomes. All studies will include academic and EFPIA partners as active contributors.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- medical and health sciences basic medicine pharmacology and pharmacy drug discovery
- medical and health sciences clinical medicine pneumology asthma
- medical and health sciences health sciences infectious diseases RNA viruses coronaviruses
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
IMI-JU-01-2008
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Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)
Coordinator
4056 Basel
Switzerland
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Participants (41)
1105AZ Amsterdam
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SO17 1BJ SOUTHAMPTON
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SW7 2AZ London
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95131 CATANIA
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00133 Roma
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2650 Hvidovre
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31-007 KRAKOW
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3012 BERN
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1085 BUDAPEST
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M13 9PL Manchester
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13284 Marseille
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80686 MUNCHEN
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901 87 UMEA
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9000 GENT
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75794 PARIS
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20123 MILANO
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1165 KOBENHAVN
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171 77 STOCKHOLM
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NG7 2RD Nottingham
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5020 Bergen
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3831PE Leusden
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S10 2PX Sheffield
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E1 8AA LONDON
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1000 BRUXELLES
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95127 Catania
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EH2 4JN Edinburgh
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5656 AG Eindhoven
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S0166YD SOUTHAMPTON
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75450 UPPSALA
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3631 Maasmechelen
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08022 BARCELONA
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151 85 Sodertaelje
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55218 Ingelheim
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43122 Parma
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WC1A 1DG LONDON
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Participation ended
CT13 9NJ Sandwich
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4070 Basel
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1070 Bruxelles / Brussel
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2300AG Leiden
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1831 Diegem
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08889 Whitehouse Station Nj
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