Clinical immunological characteristics of anti-interferon-γ autoantibodies syndrome: a 3 year prospective cohort study

Anti-interferon-γ autoantibodies (AIGAs) syndrome is susceptible to disseminated opportunistic infections due to increased AIGAs, but its clinical immunological characteristics remain unrecognized. We conducted a prospective cohort study between January 2021 and December 2023, recruiting patients with opportunistic infections who were categorized into AIGAs-positive and AIGAs-negative groups. Clinical immunological data and outcomes were documented. A subset of AIGAs-positive patients received glucocorticoid treatment, and its effectiveness was evaluated. A total of 238 patients were enrolled, with 135 AIGAs-positive and 103 AIGAs-negative patients. AIGAs-positive patients showed higher rates of multiple pathogen dissemination, shorter progression-free survival (PFS), and increased exacerbation frequency. They also showed elevated erythrocyte sedimentation rate (ESR), globulin (GLB), immunoglobulin (Ig)G, IgE, and IgG4 levels. Among the 70 AIGAs-positive patients monitored for at least six months, three subtypes were identified: high AIGAs titer with immune damage, high AIGAs titer without immune damage, and low AIGAs titer without immune damage. Of the 55 patients followed for 1 year, decreasing AIGAs titer and immune indices (GLB, IgG, IgE, IgG4) were observed. Among the 31 patients with high AIGAs titer and immune damage treated with low-dose glucocorticoids at the stable phase, reductions were observed in immune indices and AIGAs titer in 67.74% of cases. In summary, AIGAs-positive patients exhibit infectious and immunological characteristics. Elevated AIGAs, IgG, IgG4, and IgE indicate abnormal immune damages. AIGAs titer generally decrease over time. Stable-phase AIGAs-positive patients can be categorized into three subtypes, with those having high AIGAs titer and increased immune indices potentially benefitting from glucocorticoid treatment.

Authors

Institutions

Publication Details

Journal
Emerging Microbes & Infections
Published
2024-08-23
DOI
https://doi.org/10.1080/22221751.2024.2396887
Citations
10
Primary Topic
Immunodeficiency and Autoimmune Disorders
Type
article
Field-Weighted Citation Impact
2.40
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Clinical immunological characteristics of anti-interferon-γ autoantibodies syndrome: a 3 year prospective cohort study

Jie Huang, Jieping Lei, Zhiyi He, Siqiao Liang et al.
10 citations
Emerging Microbes & Infections
Immunodeficiency and Autoimmune Disorders
2.40
article

Clinical immunological characteristics of anti-interferon-γ autoantibodies syndrome: a 3 year prospective cohort study

Jie Huang, Jieping Lei, Zhiyi He, Siqiao Liang, Zhen Wei, Siyao Wu, Rong Xiao, Jingmin Deng, Xin-Xin Zhong, Chenlu Yang, Honglin Luo, Jiujin Zhang, Hanlin Liang, Bin Cao, Meihua Li, Pei Li, Xiaokai Feng, Meiling Yang, Ke Wang, Wen Zeng, Jing Jiang, Shouming Qin, Haijuan Tang, Xuemei Huang, Yan Ning, Jian Song, Ni Chen, Xiaona Liang, Zengtao Luo, Chengqiong Xu, Fu Cao, Quanfang Chen, Qing Wei, Hongwei Wang
article en
10 citations

Abstract

Anti-interferon-γ autoantibodies (AIGAs) syndrome is susceptible to disseminated opportunistic infections due to increased AIGAs, but its clinical immunological characteristics remain unrecognized. We conducted a prospective cohort study between January 2021 and December 2023, recruiting patients with opportunistic infections who were categorized into AIGAs-positive and AIGAs-negative groups. Clinical immunological data and outcomes were documented. A subset of AIGAs-positive patients received glucocorticoid treatment, and its effectiveness was evaluated. A total of 238 patients were enrolled, with 135 AIGAs-positive and 103 AIGAs-negative patients. AIGAs-positive patients showed higher rates of multiple pathogen dissemination, shorter progression-free survival (PFS), and increased exacerbation frequency. They also showed elevated erythrocyte sedimentation rate (ESR), globulin (GLB), immunoglobulin (Ig)G, IgE, and IgG4 levels. Among the 70 AIGAs-positive patients monitored for at least six months, three subtypes were identified: high AIGAs titer with immune damage, high AIGAs titer without immune damage, and low AIGAs titer without immune damage. Of the 55 patients followed for 1 year, decreasing AIGAs titer and immune indices (GLB, IgG, IgE, IgG4) were observed. Among the 31 patients with high AIGAs titer and immune damage treated with low-dose glucocorticoids at the stable phase, reductions were observed in immune indices and AIGAs titer in 67.74% of cases. In summary, AIGAs-positive patients exhibit infectious and immunological characteristics. Elevated AIGAs, IgG, IgG4, and IgE indicate abnormal immune damages. AIGAs titer generally decrease over time. Stable-phase AIGAs-positive patients can be categorized into three subtypes, with those having high AIGAs titer and increased immune indices potentially benefitting from glucocorticoid treatment.

Emerging Microbes & InfectionsVol. 13(1)
Guangxi Medical University (CN), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Beijing Chao-Yang Hospital, Capital Medical University (CN), China-Japan Friendship Hospital (CN), The Fourth People's Hospital (CN), Qinhuangdao Second Hospital (CN), Kingmed Diagnostics (CN), The People's Hospital of Guangxi Zhuang Autonomous Region (CN), First Affiliated Hospital of GuangXi Medical University (CN), Guangxi Academy of Sciences (CN), Nanjing Medical University (CN), Nanjing University (CN)
Openalex Percentile: Top 11%
Immunodeficiency and Autoimmune Disorders
2.40
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.