Language
English
Publication Date
3-1-2023
Journal
Biochemistry and Biophysics Reports
DOI
10.1016/j.bbrep.2022.101413
PMID
36578528
PMCID
PMC9791830
PubMedCentral® Posted Date
12-16-2022
PubMedCentral® Full Text Version
Post-print
Abstract
Autoantibodies targeting epitopes contained within the intracellular domain (IC) of the protein phosphatase-like islet antigen 2 (IA-2) are a common marker of autoimmune type 1 diabetes (T1D), however the isolation of genuine, serum derived anti-IA-2 autoantibodies has proven challenging due to a lack of suitable bioassays. In the current study, an ELISA format was developed for affinity purification of human anti-IA-2ic autoantibodies utilizing a fusion protein (FP) incorporating maltose binding protein and the full-length IA-2IC domain. Using a T1D patient cohort validated for anti-IA-2ic autoantibodies by commercial ELISA, we demonstrate the MBP-IA-2ic FP ELISA detects serum anti-IA-2IC autoantibodies from 3 of 9 IA-2 positive patients. Further to this, a multi-plate MBP-IA-2ic FP ELISA protocol specifically affinity purifies IgG enriched for anti-IA-2ic autoantibodies. Interestingly, serum derived autoantibodies immobilised on the MBP-IA-2ic FP ELISA demonstrate increased Kappa light chain usage when compared to the respective total IgG derived from donor patients, suggesting a clonally restricted repertoire of anti-IA-2ic autoantigen specific B plasma cells is responsible for autoantibodies detect by the MBP-IA-2ic FP ELISA. This study is the first to demonstrate the generation of specific, genuine human derived anti-IA-2ic autoantibodies, thereby facilitating further investigation into the origin and functional significance of IA-2 autoantibodies in T1D.
Keywords
Type 1 diabetes, IA-2, Autoantibodies, Affinity purification, Clonal restriction
Published Open-Access
yes
Recommended Citation
Mendis, Thilini; Filipova, Barbora; Wang, Jing Jing; et al., "Affinity Purification of Serum-Derived Anti-Ia-2 Autoantibodies in Type 1 Diabetes Using a Novel Mbp-Ia-2 Fusion Protein" (2023). Faculty and Staff Publications. 5667.
https://digitalcommons.library.tmc.edu/baylor_docs/5667
Included in
Allergy and Immunology Commons, Biological Phenomena, Cell Phenomena, and Immunity Commons, Endocrine System Diseases Commons, Endocrinology, Diabetes, and Metabolism Commons, Pathology Commons