基于机器学习的免疫转录组分析识别了长期鼻炎与鼻息肉的免疫特征基因
Zhaonan Xu1, Qing Hao1, Bingrui Yan1
1Department of Otolaryngology, Head and Neck Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Scientific reports
|June 3, 2025
概括
这项研究揭示了与鼻息肉相关的慢性鼻炎 (CRSwNP) 中的关键免疫基因差异,确定了针对性治疗的CXCR1和MMP9等五种潜在生物标志物.
科学领域:
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
- 耳鼻喉科 耳鼻喉科 耳鼻喉科
背景情况:
- 带鼻息肉的慢性鼻炎 (CRSwNP) 是一种常见的炎症状况,具有显著的免疫调节作用.
- 精确的免疫转录基因格局及其在CRSwNP中的临床意义尚未完全理解.
研究的目的:
- 为了研究CRSwNP的免疫转录组特征.
- 为了确定CRSwNP的潜在诊断和治疗生物标志物.
主要方法:
- 对CRSwNP患者和健康对照组的转录组分析.
- 鉴定差异性免疫相关基因 (DIRG) 和构建蛋白质-蛋白质相互作用 (PPI) 网络.
- 机器学习模型 (LASSO,mSVM-RFE) 和实验验证 (RT-PCR,IHC) 用于生物标志物发现.
- 使用CIBERSORT进行免疫细胞透分析.
主要成果:
- 在CRSwNP.中确定了660个差异表达基因 (DEG) 和81个DIRG.
- DIRG与细胞化学反应,白细胞迁移和细胞因子-细胞因子受体相互作用有关.
- 确定并验证了五种候选生物标志物 (CXCR1,CCL13,CCR3,PPBP,MMP9).
- 在CRSwNP患者中观察到巨细胞和巨细胞丰度的显著差异.
结论:
- 免疫特征在CRSwNP的发病过程中起着至关重要的作用.
- 已识别的候选基因代表了CRSwNP的潜在治疗标.
- 对这些生物标志物的进一步研究可以阐明CRSwNP机制,并为治疗策略提供信息.
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