Islet Autoantibody Level Distribution in Type 1 Diabetes and Their Association With Genetic and Clinical Characteristics

Sian Louise Grace, Jack Bowden, Helen C Walkey, Akaal Kaur, Shivani Misra, Beverley M Shields, Trevelyan J McKinley, Nick S Oliver, Timothy J McDonald, Desmond G Johnston, Angus G Jones, Kashyap A Patel*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

10 Citations (Scopus)

Abstract

Context
The importance of the autoantibody level at diagnosis of type 1 diabetes (T1D) is not clear.

Objective
We aimed to assess the association of glutamate decarboxylase (GADA), islet antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A) autoantibody levels with clinical and genetic characteristics at diagnosis of T1D.

Methods
We conducted a prospective, cross-sectional study. GADA, IA-2A, and ZnT8A were measured in 1644 individuals with T1D at diagnosis using radiobinding assays. Associations between autoantibody levels and the clinical and genetic characteristics for individuals were assessed in those positive for these autoantibodies. We performed replication in an independent cohort of 449 people with T1D.

Results
GADA and IA-2A levels exhibited a bimodal distribution at diagnosis. High GADA level was associated with older age at diagnosis (median 27 years vs 19 years, P = 9 × 10−17), female sex (52% vs 37%, P = 1 × 10−8), other autoimmune diseases (13% vs 6%, P = 3 × 10−6), and HLA-DR3-DQ2 (58% vs 51%, P = .006). High IA-2A level was associated with younger age of diagnosis (median 17 years vs 23 years, P = 3 × 10−7), HLA-DR4-DQ8 (66% vs 50%, P = 1 × 10−6), and ZnT8A positivity (77% vs 52%, P = 1 × 10−15). We replicated our findings in an independent cohort of 449 people with T1D where autoantibodies were measured using enzyme-linked immunosorbent assays.

Conclusion
Islet autoantibody levels provide additional information over positivity in T1D at diagnosis. Bimodality of GADA and IA-2A autoantibody levels highlights the novel aspect of heterogeneity of T1D. This may have implications for T1D prediction, treatment, and pathogenesis.
Original languageUndefined/Unknown
Pages (from-to)e4341–e4349
JournalThe Journal of Clinical Endocrinology & Metabolism
Volume107
Issue number12
Early online date28 Sept 2022
DOIs
Publication statusPublished - 1 Dec 2022

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