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免疫特征预测了过敏性鼻炎患者对室内灰尘子皮下免疫疗法的反应

Nan Wang^1,2, Jia Song^1,2, Shi-Ran Sun^1,2

¹Department of Otolaryngology-Head and Neck Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

|February 26, 2024

概括

确定过敏原免疫疗法反应的生物标志物是关键. 一个T和B细胞签名准确地预测过敏性鼻炎患者的治疗成功,使个性化护理.

科学领域:

免疫学免疫学免疫学
过敏研究研究过敏
生物标志物发现发现

背景情况:

确定对过敏原免疫疗法 (AIT) 反应的预测生物标志物对于改善过敏性鼻炎 (AR) 治疗疗效至关重要.
皮下免疫疗法 (SCIT) 是一种常见的AR治疗方法,但预测患者的反应仍然是一个挑战.

研究的目的:

为了确定SCIT响应的预测生物标志物,在家庭灰尘虫过敏诱导的AR.患者中.
开发和验证SCIT有效性的预测模型.

主要方法:

在SCIT之前,在72名AR患者中使用流细胞测量来表征循环T和B细胞子集.
在12个月SCIT之前和之后评估血清免疫球蛋白水平和症状评分 (CSMS).
利用随机森林和物流回归来选择生物标志物和模型验证在发现 (Tongji) 和验证 (Wisco) 队列.

主要成果:

积极的SCIT反应与更高的基线CSMS相关,过敏原特异性IgE (sIgE) /总IgE (tIgE) 比例,T辅助者2 (T_H2) 和T毛囊辅助者2 (T_FH2) 细胞的频率,以及特定的B细胞子集.
确定了关键生物标志物:sIgE/tIgE比率,T_FR/T_FH2细胞比率,以及B_NSM频率.
一个包括sIgE/tIgE比率,T_FR/T_FH2细胞比率和CD23⁺ B_SM频率的组合模型实现了高预测准确性 (AUC=0.899在发现中,0.893在验证中).

结论:

结合T细胞和B细胞特征,可以作为AR患者SCIT反应的有效预测指标.
这些生物标志物使得针对过敏性鼻炎的个性化治疗方法成为可能.
在治疗前识别SCIT响应者可以优化治疗策略.

关键词:

过敏原免疫疗法免疫疗法过敏性鼻炎过敏性鼻炎生物标志物生物标志物免疫系统签名免疫系统签名预测预测预测预测

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