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Association of High-Affinity Autoantibodies With Type 1 Diabetes High-Risk HLA Haplotypes

Authors :
Peter A. Gottlieb
Taylor K. Armstrong
Liping Yu
Andrea K. Steck
Hali C. Broncucia
Taylor M. Triolo
Laura Pyle
Source :
J Clin Endocrinol Metab
Publication Year :
2021
Publisher :
The Endocrine Society, 2021.

Abstract

Objective Electrochemiluminescence (ECL) assays are high-affinity autoantibody (Ab) tests that are more specific than Abs detected by traditional radiobinding assays (RBA) for risk screening and prediction of progression to type 1 diabetes. We sought to characterize the association of high-risk human leukocyte antigen (HLA) haplotypes and genotypes with ECL positivity and levels in relatives of individuals with type 1 diabetes. Methods We analyzed 602 participants from the TrialNet Pathway to Prevention Study who were positive for at least 1 RBA diabetes-related Ab [glutamic acid decarboxylase autoantibodies (GADA) or insulin autoantibodies (IAA)] and for whom ECL and HLA data were available. ECL and RBA Ab levels were converted to SD units away from mean (z-scores) for analyses. Results Mean age at initial visit was 19.4 ± 13.7 years; 344 (57.1%) were female and 104 (17.3%) carried the high-risk HLA-DR3/4*0302 genotype. At initial visit 424/602 (70.4%) participants were positive for either ECL-GADA or ECL-IAA, and 178/602 (29.6%) were ECL negative. ECL and RBA-GADA positivity were associated with both HLA-DR3 and DR4 haplotypes (all Ps < 0.05), while ECL and RBA-GADA z-score titers were higher in participants with HLA-DR3 haplotypes only (both Ps < 0.001). ECL-IAA (but not RBA-IAA) positivity was associated with the HLA-DR4 haplotype (P < 0.05). Conclusions ECL-GADA positivity is associated with the HLA-DR3 and HLA-DR4 haplotypes and levels are associated with the HLA-DR3 haplotype. ECL-IAA positivity is associated with HLA-DR4 haplotype. These studies further contribute to the understanding of genetic risk and islet autoimmunity endotypes in type 1 diabetes.

Details

ISSN :
19457197 and 0021972X
Volume :
107
Database :
OpenAIRE
Journal :
The Journal of Clinical Endocrinology & Metabolism
Accession number :
edsair.doi.dedup.....0170d7002611843585520f581f2a03cc
Full Text :
https://doi.org/10.1210/clinem/dgab853