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Updated: Nov 1, 2025

Development and Validation of an Ultrasensitive Single Molecule Array Digital Enzyme-linked Immunosorbent Assay for Human Interferon-α
Published on: June 14, 2018
Anti-interferon-γ autoantibody-associated immunodeficiency.
Han-Po Shih1, Jing-Ya Ding1, Chun-Fu Yeh2
1Laboratory of Human Immunology and Infectious Diseases, Graduate Institute of Clinical Medical Sciences, Chang Gung University, Taoyuan City 33302, Taiwan.
Anti-interferon gamma (IFN-γ) autoantibodies cause a late-onset immunodeficiency. These autoantibodies predispose individuals to severe mycobacterial, bacterial, and fungal infections, particularly in Southeast Asia.
Area of Science:
- Immunology
- Infectious Diseases
- Genetics
Background:
- Anticytokine autoantibodies represent an emerging disease etiology disrupting cytokine functions.
- Anti-interferon gamma autoantibodies (AIGAs) were initially linked to severe mycobacterial infections, mimicking genetic defects in the IL-12/IFN-γ pathway.
- Over 600 cases, primarily from Southeast Asia, have been reported in the last decade.
Purpose of the Study:
- To characterize the clinical and genetic features of anti-interferon gamma autoantibodies (AIGAs).
- To understand the spectrum of infections associated with AIGAs.
- To define AIGAs as a distinct form of late-onset immunodeficiency.
Main Methods:
- Clinical case review and analysis of reported AIGA cases.
- Genetic association studies identifying specific HLA class II alleles.
- Analysis of infection patterns in patients with AIGAs.
Main Results:
- AIGAs are associated with specific HLA class II molecules, indicating a genetic predisposition in certain ethnic groups.
- Salmonellosis and herpes zoster reactivation occur in over half of AIGA patients.
- AIGAs are implicated in severe Talaromyces marneffei infections in HIV-negative individuals.
Conclusions:
- AIGAs represent a significant cause of late-onset immunodeficiency.
- This condition confers susceptibility to severe mycobacterial, bacterial, and fungal infections.
- Understanding AIGAs is crucial for diagnosing and managing these complex infections.
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