通过生物信息学和系统生物学识别COVID-19和IC之间的共享病原遗传机制
Zhenpeng Sun1,2, Li Zhang3,4, Ruihong Wang5
1Department of Urology, Qingdao Municipal Hospital, No.5, Donghai Middle Road, Shinan District, Qingdao, 266001, Shandong, China.
Scientific reports
|January 24, 2024
概括
这项研究确定了关键的基因和分子机制,将囊炎与COVID-19联系起来,揭示了COVID-19相关囊炎 (CAC) 的潜在药物候选人和诊断模型. 这些发现为有效的治疗方法提供了新的见解.
科学领域:
- 生物信息学和系统生物学
- 基因组学和分子医学
- 计算生物学 计算生物学
背景情况:
- COVID-19显著增加了全球死亡率.
- 囊炎被认为是导致COVID-19并发症的一个因素.
- 囊炎和COVID-19之间的分子联系在很大程度上仍未被定义.
研究的目的:
- 研究COVID-19相关囊炎 (CAC) 背后的分子机制.
- 确定潜在的候选药物用于治疗CAC.
- 开发CAC的诊断预测模型.
主要方法:
- 利用生物信息学和系统生物学方法.
- 分析了基因表达概况从基因表达总 (GEO) 数据库的间歇性囊炎 (IC) 和COVID-19.
- 进行了差异基因表达分析,基因本体学 (GO) 和基因和基因组的京都百科全书 (KEGG) 路径丰富分析,并构建了各种生物网络 (PPI,TF,miRNA,基因疾病).
- 开发了Nomogram诊断模型,并使用接收器操作特征 (ROC) 曲线验证了它们.
主要成果:
- 在IC和COVID-19之间确定了198个常见的差异表达基因 (DEG).
- 从蛋白质与蛋白质相互作用网络中选了七个枢纽基因 (FCER1G,ITGAM,LCP2,LILRB2,MNDA,SPI1,TYROBP).
- 使用这些枢纽基因构建的Nomogram模型证明了IC和COVID-19的显著诊断实用性.
- 发现了针对常见DEGs的多种潜在分子药物.
结论:
- 已识别的枢纽基因和开发的Nomogram模型为CAC机制提供了宝贵的见解.
- 这些发现可以指导针对COVID-19相关囊炎患者制定个性化和有效的治疗策略.
- 该研究强调了CAC.的潜在治疗点和诊断生物标志物.
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