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BeAT1D: Benign Autoimmunity and Type 1 Diabetes

BeAT1D: Benign Autoimmunity and Type 1 Diabetes

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05139784
Acronym
BeAT1D
Enrollment
1160
Registered
2021-12-01
Start date
2022-10-24
Completion date
2030-04-01
Last updated
2026-05-22

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

Conditions

Type 1 Diabetes

Keywords

Type 1 diabetes, Autoimmunity, Lymphocytes, Beta cells, Biomarkers

Brief summary

National multi-center non-interventional case-control cohort study with collection of biological samples to characterize the autoimmune T and B lymphocytes involved in the development of type 1 diabetes.

Detailed description

The overall objective of this study is to define the differential characteristics of autoimmune T and B lymphocytes across individuals with T1D, other forms of diabetes or autoimmunity, and no disease. The hypothesis is that the characterization of the autoimmune T and B lymphocytes involved in T1D development may allow us to clarify the pathophysiological mechanisms of disease and to identify novel biomarkers for diagnostic, prognostic and therapeutic follow-up applications.

Interventions

Collection of blood and stool specimens; and collection of lymph node specimens for the group undergoing surgical lymphadenectomy.

Sponsors

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

Study design

Observational model
CASE_CONTROL
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
1 Years to No maximum
Healthy volunteers
Yes

Inclusion criteria

1. Type 1 diabetes: type 1 diabetes, as defined by hyperglycemia and long-term insulin therapy started within 6 months from clinical onset; and/or the presence of at least one anti-islet auto-antibody. 2. Other forms of diabetes or autoimmune endocrinopathy: other forms of diabetes (e.g. type 2, ketosis-prone, familial, secondary, immunotherapy-induced diabetes); and/or other autoimmune endocrinopathies, isolated or multiple. 3. No diabetes: absence of diabetes or impaired glucose tolerance; absence of tumor, infectious or immune pathologies, or other conditions related to autoimmune or metabolic alterations that may bias the variables under study. 4. Lymphadenectomy planned in the frame of an abdominal surgery: pancreatic lymphadenectomy planned at the occasion of an abdominal surgery for the treatment of an underlying condition.

Exclusion criteria

For all participants: ongoing pregnancy; known HIV/HCV infection; absence of social security coverage; placement under judicial protection; absence of signature of the informed study consent.

Design outcomes

Primary

MeasureTime frameDescription
To define the frequency and phenotype of autoimmune T lymphocytes reactive to islet antigens in the different study groups.6 yearsAs measured by flow cytometry and sequencing techniques, with a sample size sufficient to attain a 92% statistical power and 5% alpha risk. Frequency will be expressed as number of antigen-reactive T lymphocytes per 100,000 total T lymphocytes (e.g. 20/100,000 or 0.02%). Phenotype will be expressed as percent of antigen-reactive T lymphocytes expressing a given phenotype, e.g. 20% naïve (CD45RA+CCR7+). These 2 measures will be aggregated by expressing the frequency of antigen-reactive T lymphocytes per 100,000 total T lymphocytes expressing a given phenotype, e.g. 20/100,000 antigen-reactive T lymphocytes with 20% naïve will be expressed as 4/100,000 naive antigen-reactive T lymphocytes.

Secondary

MeasureTime frameDescription
To define the frequency and phenotype of autoimmune B lymphocytes reactive to islet antigens in the different study groups.6 yearsAs measured by flow cytometry and sequencing techniques, with a sample size sufficient to attain a 92% statistical power and 5% alpha risk. Frequency will be expressed as number of antigen-reactive B lymphocytes per 100,000 total B lymphocytes (e.g. 20/100,000 or 0.02%). Phenotype will be expressed as percent of antigen-reactive B lymphocytes expressing a given phenotype, e.g. 20% memory (CD24+CD38-negative). These 2 measures will be aggregated by expressing the frequency of antigen-reactive B lymphocytes per 100,000 total B lymphocytes expressing a given phenotype, e.g. 20/100,000 antigen-reactive B lymphocytes with 20% memory will be expressed as 4/100,000 memory antigen-reactive B lymphocytes.
To identify novel islet epitopes recognized by autoimmune T and B lymphocytes.6 yearsAs measured by a lymphocyte frequency within the expected range, e.g. 1-50/million.
To define the phenotype of these lymphocytes.6 yearsAs defined by exploratory analyses based on omics techniques.
To define the pathogenicity of these lymphocytes against pancreatic beta cells.6 yearsAs measured by an in vitro killing of beta-cell targets significantly (e.g. \>2-fold) higher than the killing observed with control lymphocytes.
To define the antigen receptors used by these lymphocytes to recognize their target epitopes.6 yearsAs defined by sequencing techniques and sequence annotation using IMGT and MiXCR. Sequence sharing and similarities across receptors will be measured using MiXCR and stringdist.
To define the correlation between the biomarkers analyzed and insulin secretion.6 yearsAs measured based on the correlation with fasting C-peptide levels \>0.2 nM.
To define the differences between lymphocytes in the blood and those in pancreatic lymph nodes.6 yearsAs measured using the previous frequency and phenotype readouts.

Countries

France

Contacts

CONTACTRoberto Mallone, MD PhD
roberto.mallone@inserm.fr+33176535583
CONTACTAnna Jones
anna.jones@inserm.fr
PRINCIPAL_INVESTIGATORRoberto Mallone, MD PhD

INSERM U1016 Cochin Institute

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: May 23, 2026