Molecular reclassification to find clinically useful biomarkers for systemic autoimmune diseases

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Project Title: Molecular reclassification to find clinically useful biomarkers for systemic autoimmune diseases
Project Number: CORDIS-203714
Project web address: Follow on CORDIS
Organization: Ucb Biopharma Sprl, Belgium, Brussels
Collaborators: Katholieke Universiteit Leuven, BE
Charité Universität Medicine, DE
Karolinska Institutet, SE
Universite Catholique De Louvain, BE
Università Degli Studi Di Milano, IT
Université De Bretagne Occidentale, FR
Universidad De Granada, ES
Medizinische Hochschule Hannover, DE
Universite De Geneve, CH
Servicio Andaluz De Salud, ES
Eli Lilly Company Limited, GB
Deutsches Rheuma-Forschungszentrum Berlin, DE
Klinikum Der Universitaet Zu Koeln, DE
Agencia Estatal Consejo Superior De Investigaciones Cientificas, ES
Medizinische Universitaet Wien, AT
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, ES
Szegedi Tudomanyegyetem, HU
Bayer Pharma Ag, DE
Fondazione Irccs Ca' Granda Ospedale Maggiore Policlinico, IT
Fundacio Institut D'Investigacio Biomedica De Bellvitge, ES
The Cyprus Foundation For Muscular Dystrophy Research, CY
Fundacion Publica Andaluza Progreso Y Salud, ES
Servicio Cántabro De Salud, ES
Sanofi-Aventis Recherche & Developpement, FR
Institut De Recherche International Servier, FR
Quartz Bio S.A., CH
Atrys Health Sa, ES
Centro Hospitalar Do Porto – Hospital Santo António, PT
 
Project Description:
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.
 
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Project Title: Molecular reclassification to find clinically useful biomarkers for systemic autoimmune diseases
Project Number: CORDIS-203714
Project web address: Follow on CORDIS
Organization: Ucb Biopharma Sprl, Belgium, Brussels
Collaborators: Katholieke Universiteit Leuven, BE
Charité Universität Medicine, DE
Karolinska Institutet, SE
Universite Catholique De Louvain, BE
Università Degli Studi Di Milano, IT
Université De Bretagne Occidentale, FR
Universidad De Granada, ES
Medizinische Hochschule Hannover, DE
Universite De Geneve, CH
Servicio Andaluz De Salud, ES
Eli Lilly Company Limited, GB
Deutsches Rheuma-Forschungszentrum Berlin, DE
Klinikum Der Universitaet Zu Koeln, DE
Agencia Estatal Consejo Superior De Investigaciones Cientificas, ES
Medizinische Universitaet Wien, AT
Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, ES
Szegedi Tudomanyegyetem, HU
Bayer Pharma Ag, DE
Fondazione Irccs Ca' Granda Ospedale Maggiore Policlinico, IT
Fundacio Institut D'Investigacio Biomedica De Bellvitge, ES
The Cyprus Foundation For Muscular Dystrophy Research, CY
Fundacion Publica Andaluza Progreso Y Salud, ES
Servicio Cántabro De Salud, ES
Sanofi-Aventis Recherche & Developpement, FR
Institut De Recherche International Servier, FR
Quartz Bio S.A., CH
Atrys Health Sa, ES
Centro Hospitalar Do Porto – Hospital Santo António, PT
 
Project Categories:
Natural Sciences
 
Other Information:
Fiscal Year: 2014
Project Start Date: 1 February 2014
Project End Date: 31 January 2019
Project program: FP7-JTI
 
Project Funding Information:
Funding Mechanism: JTI-CP-IMI - Joint Technology Initiatives - Collaborative Project (IMI)
Year Funding Organization Total Funding, $
2014 European Research Council $23,917,397