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Molecular Reclassification to Find Clinically Useful Biomarkers for Systemic Autoimmune Diseases:

Molecular Reclassification to Find Clinically Useful Biomarkers for Systemic Autoimmune Diseases: Cross Sectional Cohort

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT02890121
Acronym
PRECISESADS
Enrollment
2006
Registered
2016-09-07
Start date
2014-12-31
Completion date
2017-10-31
Last updated
2018-05-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Systemic Autoimmune Diseases

Keywords

SADs, Molecular Reclassification

Brief summary

Connective tissue diseases (CTD) or systemic autoimmune diseases (SADs) as they are known today are a group of chronic inflammatory conditions with autoimmune aetiology with few treatment options and difficult diagnosis.Brest team contribute to perform a new classification of the following systemic autoimmune diseases in a European Union's Seventh Framework Programme. The aim of this research is to reclassify the individuals affected by SADs into molecular clusters instead of clinical entities through the determination of molecular profiles using several Omics techniques.

Detailed description

The main objective of the PRECISESADS project is to reclassify the individuals affected by SADs into molecular clusters instead of clinical entities through the determination of molecular profiles using several -omics techniques. The specific objectives of this cross sectional study and sub-study are: 1. To identify a systemic taxonomy for patients with SADs by producing the following data in individuals with SADs and controls: genetic, epigenomic, transcriptomic, flow cytometric (from peripheral blood mononuclear and polymorphonuclear cells (PBMCs)), metabolomics and proteomic in plasma and urine, exosome analysis, classical serology (antibodies and autoantibodies), and clinical data. 2. To better characterize individual SADs at the omics level. 3. To perform clustering analyses to determine the groups of individuals who, differentially from other groups, share specific molecular features (precision medicine). 4. To identify gene expression, methylation profiles through deconvolution methods comparing a mixture of cells with subpopulations determined by flow cytometry with separated cells, cytokine profiles and plasma metabolomics using Mass Spectrometry, in a substudy of 288 individuals. The clustering process will be data-driven with the aim to find the most homogenous and differentiated clusters of diseases that clearly separate individuals on the basis of, serological, genetic, epigenomic, cellular (cell proportions), metabolomic, proteomic (cytokines, autoantibodies) and transcriptome characteristics and differentiate them from controls and other patient clusters. A total of 2000 patients and 666 controls will be included in the study, adjusted to the following distribution: * A total of 400 patients diagnosed with systemic lupus erythematosus (SLE) * A total of 400 patients diagnosed with rheumatoid arthritis (RA) * A total of 400 patients diagnosed of scleroderma or systemic sclerosis (SSc) * A total of 400 patients diagnosed of Sjögren's syndrome (SjS) * A total of 400 patients diagnosed of primary antiphospholipid syndrome (PAPS) or Mixed Connective Tissue Disease (MCTD) or with undifferentiated disease • All patients will be recruited from 18 sites in Europe (Austria, Belgium, France, Germany, Italy, Portugal, Spain, Hungary and Switzerland).

Interventions

None listed

Sponsors

UCB Biopharma S.P.R.L.
CollaboratorINDUSTRY
Atrys Health
CollaboratorINDUSTRY
National Research Council, Spain
CollaboratorOTHER_GOV
Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico
CollaboratorOTHER
Servicio Cántabro de Salud
CollaboratorOTHER
August Pi Sunyer Biomedical Research Institute
CollaboratorOTHER
Karolinska Institutet
CollaboratorOTHER
KU Leuven
CollaboratorOTHER
Klinikum der Universität Köln
CollaboratorOTHER
Hannover Medical School
CollaboratorOTHER
Medical University of Vienna
CollaboratorOTHER
Quartz Bio S.A.
CollaboratorOTHER
Andaluz Health Service
CollaboratorOTHER_GOV
The Cyprus Foundation for Muscular Dystrophy Research
CollaboratorOTHER
Universidad de Granada
CollaboratorOTHER
University of Milan
CollaboratorOTHER
Université Catholique de Louvain
CollaboratorOTHER
University Hospital, Brest
CollaboratorOTHER
University of Geneva, Switzerland
CollaboratorOTHER
Szeged University
CollaboratorOTHER
Bayer
CollaboratorINDUSTRY
Institut de Recherches Internationales Servier
CollaboratorOTHER
Sanofi
CollaboratorINDUSTRY
Eli Lilly and Company
CollaboratorINDUSTRY
Charite University, Berlin, Germany
CollaboratorOTHER
Centro Hospitalar do Porto
CollaboratorOTHER
Institut d'Investigació Biomèdica de Bellvitge
CollaboratorOTHER
Innovative Medicines Initiative
CollaboratorOTHER
Fundación Pública Andaluza Progreso y Salud
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* · Aged 18 years or older at the time of consent * Diagnosed according to prevailing criteria for one of the following systemic autoimmune diseases (see Annex 2) * Rheumatoid arthritis (RA) * Scleroderma or systemic sclerosis (SSc) * Primary Sjögren's syndrome (SjS) * Systemic lupus erythematosus (SLE) * Primary antiphospholipid syndrome (PAPS) * Mixed Connective Tissue Disease (MCTD) * Patients with undifferentiated connective tissue disease (UCTD) for over 1 year and that do not fulfill the diagnosis of any of the above diseases. * Signed the informed consent form

Exclusion criteria

* · Patients unable to understand the procedures related to the protocol should not be included. The study is voluntary and patients must be able to give their informed consent. * Pregnant women * Neonatal lupus * Drug-induced lupus * Patients whose condition is so serious that they cannot take part in the study * Severe nephrotic syndrome with proteinuria \>=3,5 g/day * Patients with stable doses of steroids \>15mg/day for the last 3 months or with IV corticosteroids in the last 3 months * Patients under immunosuppressants for the last 3 months prior to recruitment with: * Methotrexate ≥25mg/week * Azathioprine ≥2.5mg/kg/day * Cyclosporine A \> 3mg/kg/day * Mycophenolate Mofetil \> 2gr/day * Treatment with cyclophosphamide (any dose or route of administration) or Belimumab in the past 6 months * Patients with combined therapy of two or more immunosuppressants * Patients on depletive therapy such as Rituximab in the last year * Patients receiving experimental therapy. * Chronic HBV or HCV infection * Overlap syndromes

Design outcomes

Primary

MeasureTime frameDescription
Gene expression in total blood2 yearsGene expression will be done using commercial gene expression microarrays in total blood from all samples using the RNA Paxgene tube.
Flow cytometry analysis to determine cell proportions in the total blood mixture in all individuals.24 hours9 optimized panels of antibodies will be used to determine cell subpopulations in peripheral blood (including very minor cell populations).
Genotyping2 yearsGenotyping will be done using a whole genome array
Metabolite determination2 yearsMetabolite determination in plasma and urine using Nuclear Magnetic Resonance
Exosome isolation from plasma and urine2 yearsset up of the methodology for isolating exosomes in these bodily fluids for gene expression analysis
Cytokine profile determination2 years88 different cytokines will be assessed with Luminex
routine autoantibodies in serum2 yearsset of serum autoantibodies will be determined in a European validated laboratory. Also, they will perform detection of antibodies against small lipid moieties i.e.antiphosphorylcholine), lupus anticoagulant and complement proteins in plasma.
Gene methylation in total blood2 yearsMethylation analysis will be done using the methylome 450k array using the DNA obtained from total blood. MicroRNA gene expression arrays using total blood.

Countries

Austria, Belgium, France, Germany, Hungary, Italy, Portugal, Spain, Switzerland

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026