通过生物信息学分析和机器学习识别结核病和SARS-CoV-2感染之间的相互作用
Ze-Min Huang1,2, Jia-Qi Kang1,3, Pei-Zhen Chen1,2
1Department of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
Biochemical genetics
|November 22, 2023
概括
这项研究确定了COVID-19和结核病共感染的共享分子途径和生物标志物. 了解这些相互作用对于为患有这两种疾病的患者开发有效的治疗方法至关重要.
科学领域:
- 传染性疾病 传染性疾病
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 随着COVID-19 (由SARS-CoV-2引起的) 病例的增加,出现了挑战,特别是当与结核病 (TB) 同时发生时.
- 与COVID-19和结核病的同时感染可能导致复杂的健康并发症和治疗困难.
- 控制结核病和COVID-19之间的相互作用的精确分子机制在很大程度上是未知的.
研究的目的:
- 阐明结核病和COVID-19之间的相互作用背后的分子机制.
- 在结核病和COVID-19共感染的患者中确定共享的分子通路和生物标志物.
- 探索治疗结核病与COVID-19联合感染的潜在治疗点.
主要方法:
- 使用RNA测序数据集 (GSE114192,GSE163151) 进行转录组分析,以识别结核病和COVID-19之间的常见差异表达基因 (DEG).
- 生物信息学工具用于路径,丰富和网络分析的应用.
- 蛋白质与蛋白质相互作用分析和机器学习以确定关键的枢纽基因,并使用额外的数据集进行验证 (GSE171110,GSE54992,GSE79362).
主要成果:
- 在结核病和COVID-19之间确定了124种常见的DEG,揭示了共享的致病途径.
- 通过网络和机器学习分析发现了关键的枢纽基因,包括GAS6,OAS3和PDCD1LG2.
- 确定了潜在的分子点和相关的共感染途径.
结论:
- 转录组分析成功确定了结核病-COVID-19联合感染中的共享分子机制和生物标志物.
- 已确定的枢纽基因和途径为这两种疾病之间的复杂关系提供了洞察力.
- 了解与这些机制相关的蛋白质药物相互作用可能为抗结核病-COVID-19联合感染的新疗法提供基础.
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