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基于生物信息学的分析COVID-19和RSA之间的对话

Yin Bi^1,2,3, Ting Li^1,2,3, Shun Zhang⁴

¹Guangxi Reproductive Medical Center, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530000, China.

|May 13, 2024

概括

怀孕早期的COVID-19感染可能会通过免疫失衡增加流产风险. 这项研究确定了连接SARS-CoV-2感染和复发性自发性流产 (RSA) 的常见基因和途径,提供了潜在的诊断和治疗标.

科学领域:

生殖免疫学生殖免疫学
病毒病原发生的病毒病原体.
生物信息学是一种生物信息学.

背景情况:

怀孕期间的SARS-CoV-2感染与包括流产在内的不良结果有关.
在母胎界面的免疫失调是一个可疑的机制.
COVID-19和复发性自发性流产 (RSA) 之间的分子联系还没有得到很好的定义.

研究的目的:

为了调查COVID-19和RSA之间的转录分子对话.
为了确定常见的差异表达基因 (DEGs) 和关键的相关途径.
发现潜在的分子标记物,信号通路和治疗化合物.

主要方法:

来自COVID-19 (GSE171110) 和RSA (GSE165004) 数据集的转录组数据的生物信息分析.
识别常见的DEG和信号通路的丰富分析.
用度算法来识别枢纽基因的应用.
根据P值选择候选药物.

主要成果:

在COVID-19和RSA之间发现了307种常见的DEG.
丰富分析显示,与核糖体相关的和与细胞循环相关的途径有显著的参与.
确定了十大核心基因,包括RPS27A和RPL5.
提出了针对这些途径的候选药物.
定量PCR (qPCR) 结果一般支持生物信息学发现.

结论:

这项研究通过共享的转录基因签名阐明了COVID-19和RSA之间的分子联系.
确定了枢纽基因和通路,为与SARS-CoV-2感染相关的流产的病原体提供了新的见解.
这些发现表明了潜在的生物标志物用于诊断和治疗目标,用于管理COVID-19相关的妊娠并发症.

关键词:

在 COVID-19 疫情中,中枢枢纽基因中枢枢纽基因常见的差异性表达基因经常发生的自发性流产.小分子化合物小分子化合物

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