综合的多主题分析揭示了喘-过敏性鼻炎并发症的共享机制性途径:一种混合机器学习框架,利用孟德尔的随机化进行精确诊断
Hehe Wang1, Jiali Tu1, Junge Zhang2
1Department of Otolaryngology, Head and Neck Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, China.
The World Allergy Organization journal
|October 6, 2025
概括
这项研究揭示了RPS4Y1基因调节在喘和过敏性鼻炎中的差异,确定了关键的血蛋白质,并为这些过敏性疾病开发了一种高度准确的多omics诊断工具.
科学领域:
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
- 代谢学 代谢学 代谢学
背景情况:
- 喘和过敏性鼻炎共享炎症途径,但具有不同的机制.
- 了解它们的并发症需要更深入地了解分子通路.
- 目前对共享分子机制的理解是有限的.
研究的目的:
- 在喘和过敏性鼻炎中识别保守和分离的免疫代谢途径.
- 开发一种基于血液的诊断框架,使用多omics生物标志物.
- 探索Y染色体基因在疾病变态中的作用.
主要方法:
- 协调了8个外周血液转录基因队列 (n=1,073).
- 在5个喘队伍中进行了门德尔的随机化.
- 在独立的队列中开发并验证了一种机器学习诊断模型.
主要成果:
- 与疾病特异性免疫代谢重编程相关的RPS4Y1的双向调节.
- 确定了7种因果性血蛋白,将氧化应激作为一种共享机制.
- 开发了一种具有>95%AUC的多omics诊断模型,其性能优于基于IgE/eosinophil的分类器.
- 揭示了不同的免疫细胞概况和Y染色体基因失调,表明性别二态免疫调节.
结论:
- RPS4Y1是过敏性炎症变态的关键调节者.
- 一个经过验证的多omics分类器可以对喘和过敏性鼻炎进行精确诊断.
- 这些发现有助于更好地理解针对性治疗的性别差异,代谢-免疫交叉和临床异质性.
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