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Conception of a Diagnosis, Prognosis and Therapeutic Decision Tool for Patients With Autoimmunity and Inflammation

Not yet recruiting
Conditions
Autoimmune Cytopenia
Autoimmune Diseases
Autoimmune Thrombocytopenia
Autoimmune Hepatitis
APECED
BENTA
Enteropathy, Autoimmune
IBD
Systemic Lupus Erythematosus
Combined Immunodeficiency
Interventions
Biological: Collection of samples
Registration Number
NCT04902807
Lead Sponsor
Institut National de la Santé Et de la Recherche Médicale, France
Brief Summary

The main objective of this study is to generate diagnosis and therapeutic-decision tools through the identification of molecular causes of PIDs with autoimmunity/inflammation and the variability in disease outcome at the transcriptional level using a combination of omics signatures (transcriptomics, epigenomics, proteomics, metagenomics, metabolomics and lipidomics).

Detailed Description

Primary Immune deficiencies (PIDs) are a group of monogenic diseases related to developmental or functional dysfunction of one or several immune cell types. Individually there are rare entities, but collectively they group several thousands of patients.

Approximately 500 000 patients suffer from PIDs worldwide, making their management a true health-care concern. According to European Society for Immunodeficiencies (ESID), the age group in which PIDs is most frequently diagnosed is under 19 years of age (62%)1. PIDs are causing susceptibility to severe and life-threatening infections by common pathogens, but they also predispose to cancer and can initially manifest as autoimmune and inflammatory diseases.

Multiple mechanisms underlie the development of autoimmunity/inflammation in PIDs. Moreover, their development can be influenced by the composition of the microbiota, which shapes host metabolic and immune functions and can be modified by many environmental factors. In the last two decades a particular emphasis was given to the elucidation of the genomic mutations causing PIDs. This led to a burst of genetic diagnosis as the numbers of known monogenic causes of PIDs rose from around 200 in 2010 to more than 310 in 2017. These genomic approaches revealed that: 1) a given monogenic defect can lead to very dissimilar clinical presentations, disproving the initial concept that a monogenic defect is associated with specific clinical manifestations ; and 2) the number of cases of autosomal dominant genetic deficiencies has increased, with sometimes a partial clinical penetrance so that some relatives carrying the causal genetic variant remain asymptomatic. Hence, onset and presentation of autoimmune and inflammatory diseases in PIDs is highly unpredictable.

PIDs with autoimmunity/inflammation usually require life-long symptomatic treatments including broad immunosuppression or immunotherapies. On the long term, such treatments can have important side effects or poor efficacy and they result in high burden cost. It is therefore crucial to diagnose PIDs as early as possible in order to select the most efficient therapy based not only on clinical features as it is nowadays, but to include the underlying molecular cause of immune dysregulation.

The central goal of this project is to explain the very variable outcome of monogenic autoimmune and inflammatory diseases and to define predictive biomarkers in order to stratify patients and to optimize therapeutic choices.

Recruitment & Eligibility

Status
NOT_YET_RECRUITING
Sex
All
Target Recruitment
500
Inclusion Criteria

Not provided

Exclusion Criteria
  • Intake of antibiotics within 2 weeks prior inclusion
  • Absence of parent's or child consent form
  • Cytotoxic cancer treatments
  • antiviral treatments (HIV, hepatitis ...)
  • Short term life-threatening conditions
  • Individuals placed under judicial protection

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
PatientsCollection of samplesbased on the potential for inclusion of patient's cohort followed in Necker hospital with PIDs and poly-autoimmunity related to known genetic defects. Recruitments will be made at Pediatric Rheumatology Immuno Hematology department, and paediatric Gastroenterology department (n=250). Collection of blood, urine and stools at inclusion and blood at 12 months consultation/ follow-up.
Patients' relatives (control)Collection of samplesBrothers or sisters of the patients (n=125). Collection of blood, urine and stools at inclusion.
Patients with unrelated diseases (control)Collection of samplesRecruitments will be made at the Paediatric Gastroenterology Department, in the Department of Paediatric Visceral and Urologic Surgery and the Department of Maxillofacial Surgery and Paediatric Plastic Surgery at Necker's Hospital. Participants will be included if not diagnosed PIDs and poly-autoimmunity (n=125). Collection of blood, urine and stools.
Primary Outcome Measures
NameTimeMethod
Generate a diagnosis and therapeutic-decision tools5 years

Identification of molecular causes of PIDs with autoimmunity/inflammation and the variability in disease outcome at the transcriptional level using a combination of omics signatures (transcriptomic, epigenomics, proteomic, metagenomic, metabolomics and lipidomics).

Secondary Outcome Measures
NameTimeMethod
1- Development of an atlas of molecular interactions leading to autoimmunity and inflammation5 years

Research tool integrating transcriptomic, proteomic, epigenetic, metabolomic and lipidomics data of pediatric affected patients as well as healthy pediatric individuals This atlas will be available widely to the public and private research community.

2 - To develop an artificial intelligent online application5 years

The decision support tool will be interoperable with any clinical information system and will be clinically validated.

3- Ancillary study (pilot study)5 years

i. Validation of candidate biomarkers associated to diagnosis and prognosis of Juvenile Idiopathic Arthritis patients ; ii. Definition of a specific clinical outcome and early quantification of the performance of a diagnostic decision tool based on omics signatures (proof of concept)

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