Wang Xidong, Ye Feng, Liu Hongling, Li Shaoqiang, Yang Jinglu, Yu Xue, Hui Yilei, Li Yongming, Zhan Yangqing, Wang Yan, Liu Jing, Li Zhengtu
State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.
Department of Infectious Diseases, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
J Transl Autoimmun. 2025 May 15;10:100292. doi: 10.1016/j.jtauto.2025.100292. eCollection 2025 Jun.
-γ interferon autoantibody (AIGA) syndrome is a widespread and grossly underestimated immunodeficiency disorder characterized by high mortality rates and a lack of standardized diagnostic methods. A highly accurate AIGA biomarker that meets the requirements of absolute quantification is urgently needed to enable the early diagnosis and treatment monitoring of the disease. In our study, we aimed to identify the primary components of AIGAs, determine their function, and develop a novel diagnostic method.
Immune repertoire sequencing and a retrospective antibody subtype index analysis were performed for typical patients. Affinity chromatography was used to isolate and purify IgGs from AIGAs in the plasma of AIGA(+) patients. The clinical application value of chromatography for testing AIGAs was evaluated in a prospective clinical cohort.
A total of 114 eligible subjects were enrolled. Immune repertoire sequencing revealed that 74 % of the AIGA(+) patients had IgG clone types, with the somatic hypermutation (SHM) analysis being the most informative. We isolated AIGAs from the blood and interpreted their affinity and major components completely. Based on the results of this prospective cohort study, AIGAs, an absolute quantitative biomarker, were significantly better than the ELISA method (Delong test, P = 0.0018).
Patients with AIGA syndrome have abnormally elevated IgG levels, with IgG3 subtypes dominating. The disorder is characterized by the rapid acquisition of polyclonal AIGAs. The obtained AIGAs had a good neutralization capacity and potential as absolute quantitative biomarkers.
γ干扰素自身抗体(AIGA)综合征是一种广泛存在且严重被低估的免疫缺陷疾病,其特点是死亡率高且缺乏标准化的诊断方法。迫切需要一种高度准确且符合绝对定量要求的AIGA生物标志物,以实现该疾病的早期诊断和治疗监测。在我们的研究中,我们旨在鉴定AIGAs的主要成分,确定其功能,并开发一种新的诊断方法。
对典型患者进行免疫组库测序和回顾性抗体亚型指数分析。采用亲和层析从AIGA(+)患者血浆中的AIGAs中分离和纯化IgG。在前瞻性临床队列中评估层析法检测AIGAs的临床应用价值。
共纳入114名符合条件的受试者。免疫组库测序显示,74%的AIGA(+)患者具有IgG克隆类型,其中体细胞超突变(SHM)分析信息量最大。我们从血液中分离出AIGAs,并完整地解读了它们的亲和力和主要成分。基于这项前瞻性队列研究的结果,AIGAs作为一种绝对定量生物标志物,明显优于ELISA方法(德龙检验,P = 0.0018)。
AIGA综合征患者的IgG水平异常升高,以IgG3亚型为主。该疾病的特征是快速获得多克隆AIGAs。所获得的AIGAs具有良好的中和能力,有作为绝对定量生物标志物的潜力。