Quantitative measurement of anti-interferon-gamma autoantibodies for routine laboratory implementation
Anti-interferon-γ autoantibodies (AIGAs) are the immunological hallmark of adult-onset immunodeficiency (AOID) syndrome, predominantly affecting southeast Asian adults and leading to severe, recurrent opportunistic infections. Current AIGA detection relies on semi-quantitative methods that lack standardization, limiting utility for clinical monitoring and multi-center comparisons. We developed and analytically validated a quantitative inhibitory ELISA reporting half-maximal inhibitory concentration (IC 50 ). The assay demonstrated excellent linearity across log 10 AIGA concentrations of 2.51–4.92 (corresponding to 337–85,316 RU/mL). The quantifiable range could be extended down to 93 RU/mL (relative to the internal quality-control [IQC] plasma pools). The inter-assay GCV% was 23.5%–30.7% across all IQC AIGA-positive levels. Levey-Jennings monitoring confirmed stable performance of a single set of reagents throughout the 8-month clinical service period. The quantitative IC 50 assay discriminated active cases from inactive with 82.86% sensitivity with 89.29% specificity versus a semi-quantitative reference method (72.86% sensitivity and 85.71% specificity). This quantitative ELISA provides reliable, precise AIGA measurement with a practical internal quality-control framework, supporting AIGA testing for routine clinical laboratory implementation in AOID management.
Authors
- Punnapat Nawawishkarun
- Supranee Phanthanawiboon (ORCID: https://orcid.org/0000-0003-3683-5862)
- Yingrit Chantarasuk
- Arpa Surapaitoon
- Arnone Nithichanon (ORCID: https://orcid.org/0000-0001-5617-8746)
- Pattaraporn Srisai (ORCID: https://orcid.org/0009-0006-8182-1776)
- Chanchai Hongsa
- Varis Manbenmad (ORCID: https://orcid.org/0009-0003-2828-8974)
- Anusorn Krungmee
- Thanyaporn Wisedsuk
- Truong Hung Cuong
Institutions
- Khon Kaen University (TH)
- Justus-Liebig-Universität Gießen (DE)
- Synchrotron Light Research Institute (TH)
Publication Details
- Journal
- iScience
- Published
- 2026-09-16
- DOI
- https://doi.org/10.1016/j.isci.2026.117546
- Primary Topic
- Advanced Biosensing Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00