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Autoantibodies to a 38-kDa glycosylated islet cell membrane-associated antigen in (pre)type 1 diabetes: Association with IA-2 and islet cell autoantibodies

Version 2 2024-03-12, 13:38
Version 1 2024-03-01, 09:16
journal contribution
posted on 2024-03-12, 13:38 authored by Frederic Winnock, Michael ChristieMichael Christie, Manou R. Batstra, Henk-Jan Aanstoot, Ilse Weets, Katelijn Decochez, Philippe Jopart, Dany Nicolaij, Frans K. Gorus

OBJECTIVE - To study the association of autoantibodies against a 38-kDa glycated islet cell membrane-associated (GLIMA) protein with (pre)type 1 diabetes, patient characteristics, and other immune and genetic markers of the disease and to evaluate the possible added value of GLIMA antibody determinations for disease prediction and classification. RESEARCH DESIGN AND METHODS - Recent-onset type 1 diabetic patients (n = 100), prediabetic siblings (n = 23), and nondiabetic control subjects (n = 100) were consecutively recruited by the Belgian Diabetes Registry. GLIMA antibodies were determined by immunoprecipitation of radiolabeled islet cell proteins; islet cell antibodies (ICAs) were determined by indirect immunofluorescence; and insulin autoantibodies (IAAs), insulinoma-associated protein-2 antibodies (IA-2As), and GAD antibodies (GADAs) were determined by radioligand assays. RESULTS - GLIMA antibodies were detected in 38% of type 1 diabetic patients and 35 of prediabetic siblings (during follow-up) vs. 0% in control subjects (P < 0.001). Their prevalence was lower than that of other antibodies and was significantly associated with high levels of 1A-2A and ICA (P < 0.0001). In (pre)diabetes, GLIMA antibodies could only be demonstrated in sera positive for ?1 other autoantibody. CONCLUSIONS - GLIMA antibodies are strongly associated with type 1 diabetes and antibody markers of rapid progression to clinical onset but have a lower diagnostic sensitivity for the disease than IAA, ICA, IA-2A, or GADA. In its present form, the GLIMA antibody assay does not provide much additional information for prediction or classification of diabetes, compared with that obtained from the measurement of IA-2As alone or in combination with IAAs, ICAs, and GADAs.

History

School affiliated with

  • Department of Life Sciences (Research Outputs)

Publication Title

Diabetes Care

Volume

24

Issue

7

Pages/Article Number

1181-1186

Publisher

American Diabetes Association

ISSN

0149-5992

eISSN

1935-5548

Date Submitted

2015-08-07

Date Accepted

2001-03-30

Date of First Publication

2001-07-01

Date of Final Publication

2001-07-01

Date Document First Uploaded

2015-08-07

ePrints ID

18136