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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (2): 282-288.doi: 10.19982/j.issn.1000-6621.20250376

• 论著 • 上一篇    下一篇

抗γ-干扰素自身抗体与γ-干扰素释放试验结果关联性分析

于海威1, 李倩2, 冯凤泉2, 李莎2()   

  1. 1 南宁市第四人民医院(广西艾滋病临床治疗中心)药学部, 南宁 530000
    2 南宁市第四人民医院(广西艾滋病临床治疗中心)内科, 南宁 530000
  • 收稿日期:2025-09-18 出版日期:2026-02-10 发布日期:2026-02-03
  • 通信作者: 李莎 E-mail:lisamai@foxmail.com
  • 基金资助:
    南宁市科学研究与技术开发计划课题(20213025-4);广西壮族自治区卫健委自筹课题(Z-A20250951)

Association analysis between anti-interferon-γ auto-antibodies and interferon-gamma release assay results

Yu Haiwei1, Li Qian2, Feng Fengquan2, Li Sha2()   

  1. 1 Department of Pharmacy, HIV/AIDS Clinical Treatment Center of Guangxi, The Fourth People’s Hospital of Nanning, Nanning 530000, China
    2 Department of Internal Medicine, HIV/AIDS Clinical Treatment Center of Guangxi, The Fourth People’s Hospital of Nanning, Nanning 530000, China
  • Received:2025-09-18 Online:2026-02-10 Published:2026-02-03
  • Contact: Li Sha E-mail:lisamai@foxmail.com
  • Supported by:
    Nanning Scientific Research and Technology Development Program Project(20213025-4);Guangxi Zhuang Autonomous Region Health Commission Self-funded Research Project(Z-A20250951)

摘要:

目的: 探索抗γ-干扰素(IFN-γ)自身抗体与γ-干扰素释放试验(IGRA-ELISA)产生不确定结果之间是否存在相关性。方法: 收集2020年3月至2025年2月南宁市第四人民医院HIV阴性并发机会性感染,同时已进行抗IFN-γ自身抗体检测及IGRA-ELISA检测患者(82例)的相关资料,按照抗IFN-γ自身抗体结果分为阳性组(29例)和阴性组(53例)。通过统计学分析组间差异性,然后纳入对抗IFN-γ自身抗体可能具有独立预测作用的因素构建Firth惩罚逻辑回归模型,探索抗IFN-γ自身抗体关键预测因子。结果: 阳性组患者在机会性感染病原菌方面以非结核分枝杆菌(37.9%,11/29)、马尔尼菲篮状菌(27.6%,8/29)为主。Firth惩罚逻辑回归显示,IGRA-ELISA结果不确定是抗IFN-γ自身抗体阳性的预测因素(OR=56.317,95%CI:3.062~1.020×1011,P<0.01)。结论: 当机会性感染患者IGRA-ELISA结果呈现不确定时,患者体内可能存在抗IFN-γ自身抗体。

关键词: 干扰素类, 抗体, 免疫, 机会致病菌感染

Abstract:

Objective: To explore whether there is a correlation between anti-interferon-gamma (IFN-γ) auto-antibodies and indeterminate results of the IFN-γ release assay (IGRA-ELISA). Methods: We collected data of 82 non-HIV patients with opportunistic infections who underwent both anti-IFN-γ auto-antibody testing and IGRA-ELISA at the Fourth People’s Hospital of Nanning between March 2020 and February 2025. Based on the anti-IFN-γ auto-antibody results, the patients were divided into a positive group (29 patients) and a negative group (53 patients). First, intergroup differences were statistically analyzed. Subsequently, factors possessing potential independent predictive value for the auto-antibodies were incorporated into a Firth penalized logistic regression model, with the ultimate goal of identifying their key predictors. Results: In the positive group, main opportunistic pathogens were nontuberculous mycobacteria (37.9%, 11/29) and Talaromyces marneffei (27.6%, 8/29). Firth penalized logistic regression demonstrated that the indeterminate IGRA-ELISA result was a significant predictor of anti-IFN-γ auto-antibody positivity (OR=56.317, 95%CI: 3.062-1.020×1011, P<0.01). Conclusion: When patients with opportunistic infections present with an indeterminate IGRA-ELISA result, anti-IFN-γ auto-antibodies may be present in patients.

Key words: Interferons, Antibodies, Immunity, Opportunistic infections

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