通过机器学习算法识别COVID-19和良性前列腺增生之间的枢纽基因和常见生物途径
Hang Zhou1, Mingming Xu1, Ping Hu2
1Department of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Frontiers in immunology
|July 10, 2023
概括
这项研究确定了常见的生物途径和潜在的药物标,将COVID-19与良性前列腺增生 (BPH) 联系起来. 研究结果揭示了关键的基因和免疫细胞相互作用,为治疗共感染患者提供了洞察力.
科学领域:
- 研究病毒感染和慢性疾病的交叉点.
- 使用生物信息学来分析基因表达数据.
- 专注于免疫学和分子生物学.
背景情况:
- COVID-19 (冠状病毒疾病2019) 是一种严重的呼吸系统疾病,具有潜在的多器官影响.
- 良性前列腺增生症 (BPH) 是老年男性常见的疾病.
- 在SARS-CoV-2 (严重急性呼吸系统综合征冠状病毒2) 感染和BPH之间的关系还不清楚.
研究的目的:
- 探索潜在的生物标和将SARS-CoV-2和BPH联系在一起的机制.
- 为了确定共同的途径和遗传因素涉及到两个条件.
- 为COVID-19和BPH患者发现潜在的治疗策略.
主要方法:
- 从基因表达总汇 (GEO) 下载并分析了COVID-19 (GSE157103,GSE166253) 和BPH (GSE7307,GSE132714) 基因表达数据集.
- 通过使用Limma包,确定了常见的差异表达基因 (DEGs).
- 进行了蛋白质与蛋白质相互作用 (PPI),基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 分析. 使用机器学习选枢纽基因并验证它们. 进行了CIBERSORT分析并确定了潜在的治疗剂.
主要成果:
- 在COVID-19和BPH数据集之间确定了97个常见的DEG.
- GO和KEGG的分析突出了与免疫相关的途径.
- 五个枢纽基因 (BIRC5,DNAJC4,DTL,LILRB2,NDC80) 显示出诊断潜力. 枢纽基因与特定的免疫细胞 (CD4+ T 细胞,调节性 T 细胞,NK 细胞) 相关联. 确定了10种候选药物,包括卢坎和植物雌激素.
结论:
- 揭示了共享的信号通路,生物标和潜在的小分子药物用于COVID-19和BPH.
- 这些发现对于理解这些疾病之间常见的致病性和易感性途径至关重要.
- 提供了开发针对共感染个体的向治疗的基础.
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