基于全面的生物信息学分析,探索系统性红斑狼与COVID-19的潜在共同点病变发生
Huiqiong Zeng1, Yu Zhuang2, Xiaojuan Li3
1Department of Rheumatology, Shenzhen Futian Hospital for Rheumatic Diseases, Futian District, Shenzhen, Guangdong, China.
Frontiers in immunology
|July 10, 2023
概括
这项研究确定了六个关键基因 (CDC6,PLCG1,KIF15,LCK,CDC25C,RASGRP1) 作为诊断COVID-19系统性红斑狼 (SLE) 的潜在生物标志物,为疾病机制提供了洞察力.
科学领域:
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
背景情况:
- 新出现的证据表明,系统性红斑狼 (SLE) 和COVID-19之间存在潜在联系.
- 了解共享的分子机制对于管理患有这两种疾病的患者至关重要.
研究的目的:
- 在COVID-19患者中使用生物信息学方法识别SLE的诊断生物标志物.
- 探索与SLE和COVID-19联合感染相关的潜在生物机制.
主要方法:
- 来自NCBI GEO数据库的SLE和COVID-19数据集的差异基因表达分析.
- 使用STRING和Cytoscape构建蛋白质-蛋白质相互作用网络并识别枢纽基因.
- 开发监管网络 (TF-gene,TF-miRNA) 和使用ROC曲线验证诊断能力.
- 使用ssGSEA进行免疫细胞透的分析.
主要成果:
- 他们发现了六种常见的枢纽基因 (CDC6,PLCG1,KIF15,LCK,CDC25C,RASGRP1),具有高诊断有效性.
- 功能性丰富分析表明,它参与了细胞循环和炎症途径.
- 在SLE和COVID-19患者中观察到异常免疫细胞透,与已识别的枢纽基因相关.
结论:
- 该研究成功确定了六个候选枢纽基因,用于预测COVID-19复杂的SLE.
- 这些发现为进一步研究SLE和COVID-19的病变发生提供了基础.
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