Objective
Causes explaining the epidemic of IgE-associated (allergic) diseases are unclear. MeDALL (Mechanisms of the Development of Allergy) aims at generating novel knowledge on mechanisms of allergy initiation, in particular in childhood. To understand how a complex network of genetic and environmental factors leads to complex allergic phenotypes, a novel stepwise, large and integrative translational approach is needed. MeDALL includes experts in allergy, epidemiology, genetics, immunology, biology, animal models, biochemistry and systems biology combining strengths of ongoing EU projects. Classical phenotypes (expert-based) and novel phenotypes of allergy (hypothesis-free statistical modelling) are compared. Population-based data are collected from a cross-sectional study (Karelia) and existing birth-cohorts followed using a common protocol. IgE to foods and inhalants are tested using component-resolved diagnosis across Europe in populations. Biomarker profiles (“fingerprints”) are extensively assessed using epigenetics, targeted proteomics and unbiased transcriptomics in a subsample of the study population. Those associated with allergic phenotypes are validated in large study populations. Relevant fingerprints are combined into network biomarker phenotype “handprints” using a systems biology approach and validated in a sufficiently powered sample. Animal studies and in vitro human immunology reinforce the validation. This information coupled with classical and novel phenotypes characterize environmental protective and susceptibility factors of allergy and risk groups. Results are fitted into new integrative complex mathematical models to establish suitable biomarkers for early diagnosis, prevention and targets for therapy of allergy-associated diseases such as asthma and atopic dermatitis. Ethics and gender are considered. MeDALL aims at improving health of European citizens, Europe competitiveness and innovative capacity while addressing global health issues.
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 medicinepneumologyasthma
- medical and health scienceshealth sciencespublic healthepidemiology
- medical and health sciencesbasic medicineimmunology
- medical and health sciencesclinical medicineallergology
- natural sciencesmathematicsapplied mathematicsmathematical model
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Call for proposal
FP7-HEALTH-2010-single-stage
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Funding Scheme
CP-IP - Large-scale integrating projectCoordinator
75654 Paris
France
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Participants (22)
08003 BARCELONA
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10117 Berlin
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75794 Paris
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9713 GZ Groningen
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9000 Gent
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00029 Helsinki
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90419 Lodz
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0313 Oslo
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1090 Wien
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7270 Davos Platz
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17177 Stockholm
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85764 Neuherberg
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3584 CS Utrecht
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75015 PARIS
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82152 STEINKIRCHEN
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08007 Barcelona
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1090 WIEN
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BD9 6RJ Bradford
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85281 Tempe
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1000 Brussel
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5000 ODENSE
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00198 ROMA
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