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预测上下调节的蛋白质的互动组网络和与围植入炎相关的药物基因相互作用分析
Azizeh Asadzadeh1, Fatemeh Shams Moattar2, Azam Moshfegh2
1Department of Biology, Faculty of Science, Nour Danesh Institute of Higher Education, Meymeh, Isfahan, Iran.
Dental research journal
|March 3, 2025
概括
这项研究确定了七个可用药物的基因,用于围植入炎,这是一个常见的并发症,导致植入物周围的骨损失. 这些分子生物标志物可以帮助早期诊断和治疗周植入炎.
科学领域:
- 生物分子研究的研究.
- 计算生物学是一种计算生物学.
- 牙科植入学 牙科植入学
背景情况:
- 周植入炎是牙科植入物的普遍并发症,其特点是炎症和不可逆转的骨质损失.
- 周植入炎的早期诊断对于成功治疗至关重要,但仍然是一个重大的临床挑战.
- 分子生物标志物为早期疾病检测和监测提供了潜力.
研究的目的:
- 为了预测蛋白质互动组网络在围植入炎.
- 识别与周植入炎相关的差异表达基因 (DEGs).
- 对潜在的诊断和治疗点分析药物基因相互作用.
主要方法:
- 从基因表达大巴. 从基因表达大巴. 从基因表达大巴. 从基因表达大巴. 从基因表达大巴.
- 使用特定的统计标准选差异表达基因 (DEGs).
- 使用STRING和Cytoscape构建和分析互动组网络;通过DGIdb.db分析药物基因相互作用.
主要成果:
- 在周植入炎中确定了216个DEG (129个下调,87个上调).
- 确定了对上调 (FCGR3B,CSF3R,AQP9,TREM1,P2RY13) 和下调 (CXCL10,OASL,IFIT1,RSAD2,ISG15) 基因的顶部枢纽基因.
- 发现了七个关键基因 (AQP9,CSF3R,CXCL10,IFIT1,ISG15,OASL,FCGR3B) 具有治疗标和批准的药物.
结论:
- 鉴定了七种具有潜力用于围部植入炎诊断和治疗的可用药物基因.
- 这些已识别的基因需要通过临床或实验研究进一步验证.
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