Objective
METACARDIS applies a systems medicine multilevel approach to identify biological relationships between gut microbiota, assessed by metagenomics, and host genome expression regulation, which will improve understanding and innovative care of cardiometabolic diseases (CMD) and their comorbidities. CMD comprise metabolic (obesity, diabetes) and heart diseases characterized by a chronic evolution in ageing populations and costly treatments. Therapies require novel integrated approaches taking into account CMD natural evolution.
METACARDIS associates European leaders in metagenomics, who have been successful in establishing the structure of the human microbiome as part of the EU FP7 MetaHIT consortium, clinical and fundamental researchers, SME, patients associations and food companies to improve the understanding of pathophysiological mechanisms, prognosis and diagnosis of CMD.
We will use next-generation sequencing technologies and high throughput metabolomic platforms to identify gut microbiota- and metabolomic-derived biomarkers and targets associated with CMD risks. The pathophysiological role of these markers will be tested in both preclinical models and replication cohorts allowing the study of CMD progression in patients collected in three European clinical centres of excellence. Their impact on host gene transcription will be characterised in patients selected for typical features of CMD evolution. Application of computational models and visualisation tools to complex datasets combining clinical information, environmental patterns and gut microbiome, metabolome and transcriptome data is a central integrating component in the research, which will be driven by world leaders in metagenomic and functional genomic data analysis. These studies will identify novel molecular targets, biomarkers and predictors of CMD progression, paving the way for personalized medicine in CMD.
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.
- natural sciences computer and information sciences data science
- medical and health sciences clinical medicine endocrinology diabetes
- medical and health sciences health sciences personalized medicine
- natural sciences biological sciences microbiology
- medical and health sciences health sciences nutrition obesity
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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.
FP7-HEALTH-2012-INNOVATION-1
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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.
Coordinator
75654 PARIS
France
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Participants (15)
75007 Paris
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SW7 2AZ LONDON
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1165 KOBENHAVN
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69117 Heidelberg
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405 30 Goeteborg
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9052 ZWIJNAARDE - GENT
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75012 Paris
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04109 Leipzig
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91190 GIF SUR YVETTE
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Participation ended
59482 HAUBOURDIN
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412 96 Goteborg
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75015 PARIS
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69126 Heidelberg
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75013 Paris
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1800 Vilvoorde
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