生物信息学和系统生物学分析揭示了COVID-19和骨关节炎之间的交叉声
Bowen Lai1, Heng Jiang1, Taotao Liao1
1Department of Orthopedics, Changzheng Hospital, Second Military Medical University, Shanghai, China.
Immunity, inflammation and disease
|December 29, 2023
概括
生物信息学确定了COVID-19和骨关节炎 (OA) 的四个关键基因,为这两种疾病提供了潜在的诊断和治疗标. 这项研究提供了关于共享病理和免疫细胞参与的见解.
科学领域:
- 基因组学和生物信息学
- 免疫学 免疫学 免疫学
- 分子生物学分子生物学
背景情况:
- 随着COVID-19的流行,人们对其对公共健康的影响产生了担忧.
- 骨关节炎 (OA) 与COVID-19发病率/严重程度之间的关联需要进一步调查.
- 目前尚不清楚COVID-19和OA同时发生的患者的最佳诊断和治疗策略.
研究的目的:
- 使用生物信息学探索COVID-19和骨关节炎之间的常见病理机制.
- 为了确定潜在的诊断生物标志物和治疗目标的同时感染的患者.
主要方法:
- 使用"limma" R包对差异表达基因 (DEGs) 的查.
- 构建蛋白质-蛋白质相互作用 (PPI) 网络并通过Cytoscape识别枢纽基因.
- 在外部数据集和OA小鼠模型中验证枢纽基因;预测调节性microRNAs (miRNAs) 和转录因子 (TFs);药物查;并使用CIBERSORT和scRNA-seq.分析免疫细胞透.
主要成果:
- 在COVID-19和OA之间确定了74种常见的DEG.
- 验证了四个枢纽基因 (矩阵金属蛋白酶9,ATF3,CCL4,RELA) 作为两种疾病的有效诊断标记.
- 发现了84种调节枢纽基因表达的miRNA和28种调节枢纽基因表达的TF,确定了潜在的药物 (如Simvastatin,Hydrocortisone),并在两种条件下观察到不同的免疫细胞透模式 (高巨M0,低NK和巨细胞).
结论:
- 已识别的枢纽基因,miRNAs,TFs,药物和免疫透模式提供了对COVID-19和OA病变的更深入的理解.
- 这些发现表明,对于管理COVID-19和骨关节炎患者的潜在治疗点.
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