Objective
We concur to the IMI on “Reclassification of SLE, connective tissue diseases and RA” call by presenting a proposal aimed at using the power of OMICs, and bioinformatics to identify new classifications for diseases known to share common pathophysiological mechanisms. Such knowledge has not been applied to individual patients, depriving them from potential benefits in terms of the use of new therapeutic agents that are being developed for one disease but cannot be applied in another due to current clinical classifications.
We will investigate individuals with systemic lupus erythematosus (SLE), systemic sclerosis (SSc), Sjögren’s syndrome (Sjs), rheumatoid arthritis (RA), primary antiphospholipid syndrome (PAPS) and mixed connective tissue disease (MCTD), jointly as systemic autoimmune diseases (SADs). We believe that there will be overlapping clusters of individuals across diseases that will share molecular features. To determine these clusters we will, study 2000 cases of SADs, and 600 healthy controls to identify molecular clusters and their cellular and clinical correlates. In addition, we will study kidney and skin biopsies to define the development of molecular markers with severe kidney disease or with skin fibrosis. In this way we will define systemic and tissue taxonomies. We will study complete as well as isolated peripheral blood mononuclear cells and subpopulations and in biopsies gene expression and epigenetic marks with a combination of array and next generation sequencing (NGS) strategies. These studies will define cellular counts and proportions and changes in gene expression related to specific cellular populations. We will also use NGS strategies to define the presence of risk alleles (HLA and non-HLA) in all individuals. The data will be complemented with the study of the presence of autoantibodies in serum (analyzed in a reference lab), and we will use metabolomics mass spectrometry and NMR approaches to analyze plasma and urine metabolites. We will also study exosomes in plasma and urine and identify their molecular profiles. Samples will be collected following strict protocols and appropriate patient selection. The bioinformatics and biostatistics approaches will be aimed at the analysis of clusters with unsupervised clustering algorithms and tools and cross-validation. We will also perform analyses to determine risk and predictive models analyzing the genetic and molecular data at different levels, leading to a highly productive study with two arms, one for basic research and one with clinical applications. Among the clinical applications we will have a new classification for groups of patients sharing molecular mechanisms of disease, biomarkers for disease progression and organ damage prediction, and we will develop assays that can be easily applied in the clinic. The resultant clinically applicable clusters will be then validated in a longitudinal, inception trial where newly recruited patients will be analyzed at baseline and at two different time points and define their clustering status or their evolution towards specific clusters.
We will gain completely novel information that will open new avenues of research and new possibilities of collaboration between the public Academy and the private Pharmaceutical sector by establishing the basis for new clinical trials with the potential to really benefit the patients.
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 clinical medicine rheumatology
- natural sciences biological sciences cell biology
- medical and health sciences basic medicine immunology autoimmune diseases
- natural sciences chemical sciences analytical chemistry mass spectrometry
- medical and health sciences clinical medicine nephrology kidney diseases
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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-08-2012
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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
1070 Bruxelles / Brussel
Belgium
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Participants (28)
41092 Sevilla
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28002 MADRID
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4099 001 Porto
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28006 MADRID
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20122 Milano
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08908 L'Hospitalet De Llobregat
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Santander
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08036 Barcelona
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171 77 STOCKHOLM
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3000 LEUVEN
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50937 Koeln
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30625 Hannover
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1090 WIEN
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1228 Plan-les-Ouates
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41071 SEVILLA
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2371 AGIOS DOMETIOS
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18071 GRANADA
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20122 Milano
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1348 LOUVAIN LA NEUVE
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29200 BREST
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1211 Geneve
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6720 Szeged
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Participation ended
10117 Berlin
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51373 Leverkusen
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91190 GIF-SUR-YVETTE
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94250 Gentilly
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RG21 4FA BASINGSTOKE
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10117 Berlin
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