Literature DB >> 34614253

Persistence of islet autoantibodies after diagnosis in type 1 diabetes.

Anna E Long1, Gifty George1, Claire L Williams1.   

Abstract

The presence of islet autoantibodies remains a reliable biomarker to identify individuals at high risk of developing type 1 diabetes. As such, these autoantibodies play a pivotal role in understanding the prodrome of diabetes and selecting individuals for both prevention and intervention clinical trials. Over the last few decades, studies have sought to investigate autoantibody prevalence after diabetes onset to better understand ongoing islet autoimmunity; however, many findings are contradictory, and little is known about factors that may influence autoantibody persistence. Generally, glutamate decarboxylase autoantibodies (GADAs) are the most prevalent autoantibodies after diagnosis, particularly in adults, whilst zinc transporter 8 autoantibodies (ZnT8A) prevalence declines more rapidly. However, when studies with islet autoantibody data at diagnosis are considered, it becomes clear that overall islet antigen-2 autoantibodies (IA-2A) tend to persist for longer than GADA or ZnT8A. In this review, we assess the major studies that have contributed to our understanding of autoantibody persistence after diabetes onset and what factors affect this. Islet autoantibodies may provide biomarkers for long-term β-cell function and insights into how to prevent ongoing islet autoimmunity but larger studies collecting samples at and decades after diabetes onset are required to leverage the information they could provide.
© 2021 Diabetes UK.

Entities:  

Keywords:  C-peptide; autoantibodies/immunology; diabetes mellitus; humans; type 1

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Year:  2021        PMID: 34614253     DOI: 10.1111/dme.14712

Source DB:  PubMed          Journal:  Diabet Med        ISSN: 0742-3071            Impact factor:   4.359


  1 in total

1.  Diagnosing Type 1 diabetes in adults: Guidance from the UK T1D Immunotherapy consortium.

Authors:  Danijela Tatovic; Angus G Jones; Carol Evans; Anna E Long; Kathleen Gillespie; Rachel E J Besser; Richard David Leslie; Colin M Dayan
Journal:  Diabet Med       Date:  2022-05-06       Impact factor: 4.213

  1 in total

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