使用基于网络的生物信息学方法识别分子生物标志物,将COVID-19与吸烟联系起来
Md Anisur Rahman1, Md Al Amin2, Most Nilufa Yeasmin3
1Department of Pharmacy, Islamic University, Kushtia, Bangladesh.
Bioinformatics and biology insights
|July 18, 2023
概括
这项研究揭示了37个常见的基因,将吸烟与严重的COVID-19肺炎联系起来. 生物信息学分析确定了关键途径,枢纽蛋白和潜在药物,为吸烟者的疾病严重程度提供了洞察力.
科学领域:
- 基因组学就是基因组学.
- 生物信息学是一种生物信息学.
- 肺部病理学 肺部病理学
背景情况:
- 由SARS-CoV-2引起的COVID-19主要影响肺部.
- 与非吸烟者 (15%) 相比,吸烟者患重症COVID-19肺炎的风险更高 (32%).
- 了解吸烟和COVID-19严重程度之间的分子联系至关重要.
研究的目的:
- 在COVID-19患者和吸烟者中识别常见的失调基因.
- 通过生物信息学阐明吸烟和严重的COVID-19结果之间的分子机制.
- 通过现有文献验证发现,并确定潜在的治疗点.
主要方法:
- 来自COVID-19患者,吸烟者和健康对照者的转录组数据集的比较分析.
- 生物信息学工具的应用:蛋白质-蛋白质相互作用,枢纽-蛋白质分析,药物-蛋白质相互作用,tf-基因相互作用和基因-MiRNA相互作用.
- 路径和基因本体学分析.
主要成果:
- 在COVID-19患者和吸烟者之间确定了37个常见的失调基因.
- 验证了5个重要的信号通路和7个与观察到的基因表达模式相关的枢纽蛋白.
- 根据药物蛋白相互作用,验证了7种潜在的药物用于治疗干预.
结论:
- 吸烟与共享的分子通路和基因失调有关,有助于严重的COVID-19肺炎.
- 生物信息学分析提供了对吸烟与COVID-19严重程度联系的全面了解.
- 已识别的枢纽蛋白和药物需要进一步调查针对吸烟者严重COVID-19的治疗策略.
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