通过WGCNA分析和机器学习识别与cuproptosis相关的喘诊断基因
Fangwei Wang1, Qisheng Su2, Chaoqian Li1
1Department of Respiratory Medicine, the First Affiliated Hospital of Guangxi Medical University, Nan'ning, China.
概括
细胞亡是一种新型的细胞死亡形式,与喘有关. 研究人员确定了五个关键基因 (TRIM25,DYSF,NCF4,ABTB1,CXCR1) 作为喘诊断和预后的潜在生物标志物.
科学领域:
- 细胞生物学 细胞生物学
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
背景情况:
- 质亡是一种新兴的调节细胞死亡形式.
- cuproptosis 和喘病原体之间的确切关系尚不清楚.
研究的目的:
- 为了研究喘中与cuproptosis相关的基因的作用.
- 为了确定潜在的生物标志物用于喘诊断和预后.
主要方法:
- 从GEO数据库中对与cuproptosis相关的基因的差异基因表达分析.
- 免疫透分析和KEGG通路分析.
- 通过WGCNA,机器学习模型 (XGB,SVM,RF,GLM) 和体外验证.
主要成果:
- 确定了六个与cuproptosis相关的基因,并与各种生物功能联系在一起.
- 喘患者被分为两种亚型,具有不同的免疫特征.
- 一个五个基因的签名 (TRIM25,DYSF,NCF4,ABTB1,CXCR1) 证明了高的诊断效率喘生存概率.
结论:
- 这项研究突出显示了cuproptosis在喘中的作用.
- 确定了与cuproptosis相关的基因和五个基因签名,为喘提供了潜在的诊断和预后价值.
- 为进一步研究喘的分子机制提供了基础.
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