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Multicenter Study
. 2024 Aug 12:15:1411686.
doi: 10.3389/fendo.2024.1411686. eCollection 2024.

Risk for progression to type 1 diabetes in first-degree relatives under 50 years of age

Collaborators, Affiliations
Multicenter Study

Risk for progression to type 1 diabetes in first-degree relatives under 50 years of age

Ines Urrutia et al. Front Endocrinol (Lausanne). .

Abstract

Introduction: The detection of pancreatic autoantibodies in first-degree relatives of patients with type 1 diabetes (T1D) is considered a risk factor for disease. Novel available immunotherapies to delay T1D progression highlight the importance of identifying individuals at risk who might benefit from emerging treatments. The objective was to assess the autoimmunity in first-degree relatives of patients with T1D, estimate the time from autoimmunity detection to the onset of clinical diabetes, and identify the associated risk factors.

Methods: Retrospective multicenter study of 3,015 first-degree relatives of patients with T1D recruited between 1992 and 2018. Pancreatic autoantibodies (IAA, GADA, IA2A, and ZnT8A) were determined by radioimmunoassay, starting the analyses at diagnosis of the proband. All those with positive autoimmunity and normal fasting blood glucose without clinical symptoms of diabetes were followed up in the study. The progression rate to T1D was assessed according to sex, relationship with the proband, age at autoimmunity detection, type/number of autoantibodies, and HLA-DRB1 genotype. Cox proportional-hazard models and Kaplan-Meier survival plots were used for statistical analyses.

Results: Among the relatives, 21 progenitors [43.7 years (IQR: 38.1-47.7)] and 27 siblings [7.6 years (IQR: 5.8-16.1)] had positive autoantibodies. Of these, 54.2% (95% CI: 39.2%-68.6%) developed T1D (age at autoimmunity detection 11 months to 39 years) in a median of 5 years (IQR: 3.6-8.7; ranged from 0.9 to 22.6 years). Risk factors associated with faster progression to T1D were multiple autoimmunity and <20 years at autoimmunity detection. Younger relatives (<20 years) with multiple autoantibodies had a 5-year cumulative risk of developing diabetes of 52.9% (95% CI: 22.1%-71.6%) and a 20-year risk of 91.2% (95% CI: 50.5%-98.4%). The 20-year risk decreased to 59.9% (95% CI: 21.9%-79.5%) if only one risk factor was met and to 35.7% (95% CI: 0.0%-66.2%) if the relative was older than 20 years with one autoantibody.

Conclusions: In first-degree relatives with autoimmunity, the time to progression to T1D is faster in children and adolescents with multiple autoantibodies. Young adults are also at risk, which supports their consideration in screening strategies for people at risk of developing T1D.

Keywords: autoimmunity; first-degree relatives; pancreatic autoantibodies; prediction; risk; type 1 diabetes.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
First-degree relatives who developed diabetes during follow-up according to the age at study entry and the number of positive autoantibodies. Age < 20 years are considered children and adolescents and age ≥ 20 years are considered adults. T1D, type 1 diabetes. Ab, autoantibody.
Figure 2
Figure 2
Diabetes-free survival of first-degree relatives according to the number of antibodies (Ab) detected in the study and the age at autoimmunity detection. (A) Single Ab and ≥ 20 years; (B) single Ab and < 20 years or multiple Ab and ≥ 20 years; (C) multiple Ab and < 20 years. Numbers at the bottom indicate the number of patients at risk of developing T1D and the number of patients who progressed to T1D (events) at each follow-up year. Kaplan–Meier lifetime analysis (p < 0.001, log-rank test).

References

    1. DiMeglio LA, Evans-Molina C, Oram RA. Type 1 diabetes. Lancet. (2018) 391:2449–62. doi: 10.1016/S0140-6736(18)31320-5 - DOI - PMC - PubMed
    1. Insel RA, Dunne JL, Atkinson MA, Chiang JL, Dabelea D, Gottlieb PA, et al. . Staging presymptomatic type 1 diabetes: A scientific statement of jdrf, the endocrine society, and the American diabetes association. Diabetes Care. (2015) 38:1964–74. doi: 10.2337/dc15-1419 - DOI - PMC - PubMed
    1. So M, Speake C, Steck AK, Lundgren M, Colman PG, Palmer JP, et al. . Advances in type 1 diabetes prediction using islet autoantibodies: beyond a simple count. Endocr Rev. (2021) 42:584–604. doi: 10.1210/endrev/bnab013 - DOI - PubMed
    1. Bakay M, Pandey R, Grant SFA, Hakonarson H. The genetic contribution to type 1 diabetes. Curr Diabetes Rep. (2019) 19:116. doi: 10.1007/s11892-019-1235-1 - DOI - PubMed
    1. Nyaga DM, Vickers MH, Jefferies C, Perry JK, O’Sullivan JM. The genetic architecture of type 1 diabetes mellitus. Mol Cell Endocrinol. (2018) 477:70–80. doi: 10.1016/j.mce.2018.06.002 - DOI - PubMed

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