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

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

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.

Study Overview

Status

Completed

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).

Study Type

Observational

Enrollment (Actual)

2006

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Vienna, Austria
        • Medical University of Vienna
      • Brussels, Belgium
        • Université catholique de Louvain - Cliniques universitaires Saint-Luc
      • Leuven, Belgium
        • UZ Leuven - KU Leuven, Department of Rheumatology (KU LEUVEN)
      • Brest, France, 29609
        • CHRU de Brest
      • Berlin, Germany
        • Deutsches Rheuma-Forschungszentrum Berlin (DRFZ)
      • Cologne, Germany
        • University of Cologne
      • Hannover, Germany
        • Medizinische Hochschule Hannover
      • Szeged, Hungary
        • University of Szeged
      • Milan, Italy
        • Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico (IRCCS)
      • Milan, Italy
        • UNIMI, Istituto Ortopedico Getano Pini
      • Porto, Portugal
        • Centro Hospitalar do Porto
      • Barcelona, Spain
        • Hospital Clinic I Provicia- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)
      • Cordoba, Spain
        • Hospital Universitario Reina Sofía Andaluz de Salud
      • Granada, Spain
        • Hospital Universitario San Cecilio Servicio Andaluz de Salud
      • Granada, Spain
        • Hospital Virgen de las Nieves Granada
      • Malaga, Spain
        • Hospital Regional de Málaga Servicio Andaluz de Salud
      • Santander, Spain
        • Hospital Universitario Marqués de Valdecilla, Servicio Cántabro de Salud
      • Geneve, Switzerland
        • Hospitaux Universitaires de Geneve

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Probability Sample

Study Population

Patient with systemic autoimmune diseases

Description

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

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Gene expression in total blood
Time Frame: 2 years
Gene expression will be done using commercial gene expression microarrays in total blood from all samples using the RNA Paxgene tube.
2 years
Flow cytometry analysis to determine cell proportions in the total blood mixture in all individuals.
Time Frame: 24 hours
9 optimized panels of antibodies will be used to determine cell subpopulations in peripheral blood (including very minor cell populations).
24 hours
Metabolite determination
Time Frame: 2 years
Metabolite determination in plasma and urine using Nuclear Magnetic Resonance
2 years
Exosome isolation from plasma and urine
Time Frame: 2 years
set up of the methodology for isolating exosomes in these bodily fluids for gene expression analysis
2 years
Cytokine profile determination
Time Frame: 2 years
88 different cytokines will be assessed with Luminex
2 years
Gene methylation in total blood
Time Frame: 2 years
Methylation analysis will be done using the methylome 450k array using the DNA obtained from total blood. MicroRNA gene expression arrays using total blood.
2 years
routine autoantibodies in serum
Time Frame: 2 years
set 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.
2 years
Genotyping
Time Frame: 2 years
Genotyping will be done using a whole genome array
2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

December 1, 2014

Primary Completion (ACTUAL)

October 1, 2017

Study Completion (ACTUAL)

October 1, 2017

Study Registration Dates

First Submitted

August 22, 2016

First Submitted That Met QC Criteria

August 31, 2016

First Posted (ESTIMATE)

September 7, 2016

Study Record Updates

Last Update Posted (ACTUAL)

May 23, 2018

Last Update Submitted That Met QC Criteria

May 22, 2018

Last Verified

April 1, 2018

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • PRECISESADS CS (RB 14.106)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

UNDECIDED

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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