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

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

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT04902807
Acronym
ATRACTion
Enrollment
500
Registered
2021-05-26
Start date
2021-09-07
Completion date
2026-06-30
Last updated
2025-09-08

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

Conditions

APECED, Autoimmune Anemia, Autoimmune Cytopenia, Autoimmune Diabetes, Autoimmune Diseases, Autoimmune Hepatitis, Autoimmune Lymphoproliferative Syndrome, Autoimmune Rheumatologic Disease, Autoimmune Thrombocytopenia, BENTA, Combined Immunodeficiency, EBV Lymphoproliferation, Enteropathy, Autoimmune, Hemophagocytic Lymphohistiocytoses, IBD, IPEX, Juvenile Idiopathic Arthritis, Primary Immunodeficiency, RAS-Associated Autoimmune Leucoproliferative Disease, Systemic Lupus Erythematosus

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.

Interventions

Blood, Urine and Stool samples will be collected from the participants.

Sponsors

Institut National de la Santé Et de la Recherche Médicale, France
Lead SponsorOTHER_GOV

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

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

Inclusion criteria

for controls (patients relatives and unrelated subjects): * Individuals aged\<18 y/o. * Individuals \> 6 kg * Individuals not affected by an immune-related disease or not affected by cancer * Individuals whose parents have signed an enlightened consent. Inclusion criteria for patients * Individuals with health insurance. * Patients treated at Necker hospital with PIDs and autoimmunity/inflammation related to known genetic defects (cytopenia, Enteropathy Inflammatory bowel disease (IBD), Systemic Lupus Erythematosus (SLE), Juvenile Idiopathic Arthritis (JIA), Familial Hemophagocytic Lymphohistiocytosis (FHL), chronic EBV infection associated (Ca-EBV) with EBV-infected T and/or Natural Killer (NK) cells and with a high risk to develop macrophage activation syndrome similar to FHL. See table below for diagnosis inclusion criteria. * Individuals aged\<18 y/o. * Individuals \> 9 kg * Patients whose parents have signed an enlightened consent.

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

Design outcomes

Primary

MeasureTime frameDescription
Generate a diagnosis and therapeutic-decision tools5 yearsIdentification 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

MeasureTime frameDescription
1- Development of an atlas of molecular interactions leading to autoimmunity and inflammation5 yearsResearch 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 yearsThe decision support tool will be interoperable with any clinical information system and will be clinically validated.
3- Ancillary study (pilot study)5 yearsi. 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)

Countries

France

Contacts

Primary ContactFrédéric Rieux-Laucat
frederic.rieux-laucat@inserm.fr+33142754200

Outcome results

None listed

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