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

Healthy Subjects Clinical Trial

— PRECISESADST  

Official title:

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

Clinical Trial Details — Status: Completed

Administrative data

• NCT number: NCT02890147
• Other study ID #: PRECISESADS-T
• Status: Completed
• Start date: December 2014
• Est. completion date: October 2017

Study information

• Verified date: April 2018
• Source: Andalusian Initiative for Advanced Therapies - Fundación Pública Andaluza Progreso y Salud
• Contact: n/a
• Is FDA regulated: No
• Study type: Observational

Clinical Trial 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 constitute a Healthy Volunteers cohort to compare with systemic autoimmune diseases cohort into molecular clusters instead of clinical entities through the determination of molecular profiles using several "Omics" techniques.

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.

Recruitment information / eligibility

• Status: Completed
• Enrollment: 649
• Est. completion date: October 2017
• Est. primary completion date: October 2017
• Accepts healthy volunteers: Accepts Healthy Volunteers
• Gender: All
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Aged 18 years or older at the time of consent

• Signed the informed consent form

Exclusion Criteria:

• Individuals on chronic medication.

• Individuals suffering from any inflammatory, autoimmune, allergic or infectious condition and if possible without a history of autoimmune disease, particularly thyroid disease or other diseases that may modify cellular profiles in blood.

• Pregnant women.

Related Conditions & MeSH terms

• Autoimmune Diseases
• Healthy Subjects

Locations

Country	Name	City	State
Austria	Medical University of Vienna	Vienna
Belgium	UZ Leuven - KU Leuven, Department of Rheumatology (KU LEUVEN)	Leuven
France	CHRU de Brest	Brest
Germany	Deutsches Rheuma-Forschungszentrum Berlin (DRFZ)	Berlin
Germany	Medizinische Hochschule Hannover	Hannover
Hungary	University of Szeged	Szeged
Italy	Fondazione IRCCS Ca Granda Ospedale Maggiore Policlinico (IRCCS)	Milan
Italy	UNIMI, Istituto Ortopedico Getano Pini	Milan
Portugal	Centro Hospitalar do Porto	Porto
Spain	Hospital Clinic I Provicia- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS)	Barcelona
Spain	Hospital Universitario Reina Sofía Andaluz de Salud	Cordoba
Spain	Biobanco del Sistema Sanitario Público de Andalucía (SSPA)	Granada
Spain	Hospital Universitario San Cecilio Servicio Andaluz de Salud	Granada
Spain	Hospital Virgen de las Nieves Granada	Granada
Spain	Hospital Regional de Málaga Servicio Andaluz de Salud	Malaga
Spain	Hospital Universitario Marqués de Valdecilla, Servicio Cántabro de Salud	Santander
Switzerland	Hospitaux Universitaires de Géneve	Geneve

Sponsors (29)

Lead Sponsor

Collaborator

Fundación Pública Andaluza Progreso y Salud

Agencia Estatal Consejo Superior de Investigaciones Científicas, Andaluz Health Service, Atrys Health, SA., August Pi Sunyer Biomedical Research Institute, Bayer, Centro Hospitalar do Porto, Charite University, Berlin, Germany, Eli Lilly and Company, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, Hannover Medical School, Innovative Medicines Initiative, Institut de Recherches Internationales Servier, Investigación Biomédica de Bellvitge, Karolinska Institutet, Katholieke Universiteit Leuven, Klinikum der Universität Köln, Medizinische Universitat Wien, Quartz Bio S.A., Sanofi-Aventis Research & Développement, Servicio Cántabro de Salud, Szeged University, The Cyprus Foundation for Muscular Dystrophy Research, UCB Biopharma S.P.R.L., Universidad de Granada, Université Catholique de Louvain, University Hospital, Brest, University of Geneva, Switzerland, University of Milan

Countries where clinical trial is conducted

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

Outcome

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