Obiettivo
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.
Campo scientifico
- medical and health sciencesclinical medicinerheumatology
- natural sciencesbiological sciencescell biology
- medical and health sciencesbasic medicineimmunologyautoimmune diseases
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
- medical and health sciencesclinical medicinenephrologykidney diseases
Invito a presentare proposte
IMI-JU-08-2012
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Meccanismo di finanziamento
JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)Coordinatore
1070 Bruxelles / Brussel
Belgio
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Partecipanti (28)
41092 Sevilla
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28001 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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17177 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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29238 BREST
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1211 Geneve
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6720 Szeged
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Partecipazione conclusa
10117 Berlin
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51373 Leverkusen
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92284 Courbevoie
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94250 GENTILLY
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RG21 4FA Basingstoke
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10117 Berlin
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