Back to Search Start Over

Estimation of Individual Positive Anti-Islet Autoantibodies from 3 Screen ICA Titer.

Authors :
Kawasaki, Eiji
Jinnouchi, Hideaki
Maeda, Yasutaka
Okada, Akira
Kawai, Koichi
Source :
International Journal of Molecular Sciences; Jul2024, Vol. 25 Issue 14, p7618, 11p
Publication Year :
2024

Abstract

The 3 Screen ICA ELISA is a novel assay capable of simultaneously measuring autoantibodies to glutamic acid decarboxylase (GADA), insulinoma-associated antigen-2 (IA-2A), and zinc transporter 8 (ZnT8A), making it a valuable tool for screening type 1 diabetes. Despite its advantages, it cannot specify which individual autoantibodies are positive or negative. This study aimed to estimate individual positive autoantibodies based on the 3 Screen ICA titer. Six hundred seventeen patients with type 1 diabetes, simultaneously measured for 3 Screen ICA and three individual autoantibodies, were divided into five groups based on their 3 Screen ICA titer. The sensitivities and contribution rates of the individual autoantibodies were then examined. The study had a cross-sectional design. Sixty-nine percent (424 of 617) of patients with type 1 diabetes had 3 Screen ICA titers exceeding the 99th percentile cut-off level (20 index). The prevalence of GADA ranged from 80% to 100% in patients with a 3 Screen ICA over 30 index and 97% of patients with a 3 Screen ICA ≥300 index. Furthermore, the prevalence of all individual autoantibodies being positive was 0% for ≤80 index and as high as 92% for ≥300 index. Significant associations were observed in specific titer groups: the 20–29.9 index group when all the individual autoantibodies were negative, the 30–79.9 index group when positive for GADA alone or IA-2A alone, the 30–299.9 index group when positive for ZnT8A alone, the 80–299.9 index group when positive for both IA-2A and ZnT8A, the 300–499.9 index group when positive for both GADA and ZnT8A, and the ≥300 index group when positive for all individual autoantibodies. These results suggest that the 3 Screen ICA titer may be helpful in estimating individual positive autoantibodies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
16616596
Volume :
25
Issue :
14
Database :
Complementary Index
Journal :
International Journal of Molecular Sciences
Publication Type :
Academic Journal
Accession number :
178700522
Full Text :
https://doi.org/10.3390/ijms25147618