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单细胞测序分析和多种机器学习方法确定了与免疫相关的SERPINB1和CPEB4作为COVID-19引起的ARDS的新生物标志物

Hua Yang¹, Wenjing Wang¹, Junnan Huang¹

¹The College of Life Sciences, Northwest University, #229 TaiBai North Road, Xi'an, 710069, China.

Die Naturwissenschaften

|September 2, 2025

概括

新的生物标志物SERPINB1和CPEB4显示为诊断COVID-19引起的急性呼吸困扰综合征 (ARDS) 的前景. 这些与免疫相关的基因与中性粒细胞透相关,为早期检测和治疗策略提供了潜力.

科学领域:

免疫学
基因组学
计算生物学

背景情况:

急性呼吸困难综合征 (ARDS) 是COVID-19的一种严重并发症,其特征是高死亡率和呼吸衰竭.
识别可靠的分子生物标志物对于理解ARDS病变和开发有效的诊断和治疗策略至关重要.

研究的目的:

使用转录组和单细胞RNA-seq数据识别COVID-19引起的新型免疫相关分子生物标志物.
评估已识别的生物标志物的诊断性能和免疫细胞透关联.

主要方法:

对公共转录组和单细胞RNA-seq数据集的分析 (GSE172114,GSE149878,GSE213313).
使用limma和WGCNA识别差异表达基因 (DEG).
应用机器学习算法 (LASSO,SVM-RFE,随机森林) 进行枢纽基因识别和验证.
使用CIBERSORT和基因组丰富分析 (GSEA) 进行免疫细胞透分析.

主要成果:

在免疫受体活性和细胞因子信号传递途径上发现了915个DEG.
SERPINB1和CPEB4被验证为具有高AUC值 (0. 940和0. 948) 的强大的诊断生物标志物.
这两种基因与中性粒细胞和其他免疫细胞有显著的相关性,并参与免疫和炎症途径.

结论:

SERPINB1和CPEB4是用于早期诊断COVID-19引起的ARDS的新型免疫相关生物标志物.
这些生物标志物与中性粒细胞透的强烈关联表明它们在ARDS的发病过程中起着关键作用.
这些发现提供了潜在的治疗点,并增强了对ARDS免疫机制的理解.

关键词:

由COVID-19引起的急性呼吸窘迫综合征不同表达的基因免疫透机器学习单细胞测序权重的共同表达网络分析

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