通过机器学习和生物信息学分析揭示腹腔大动脉瘤和牙周炎之间的潜在干扰基因
Zhifeng Wu1,2, Fan Zhang2, Yuan Wang3
1Department of Hepatobiliary Surgery, Shaoxing Second Hospital, Shaoxing, Zhejiang, China,.
PloS one
|August 26, 2025
概括
这项研究确定了IL1B,PTGS2和SELL等关键基因,这些基因与腹腔大动脉瘤 (AAA) 和牙周炎有关. 这些发现提供了有关共同疾病机制和潜在药物点的见解.
科学领域:
- 基因组学
- 生物信息学
- 免疫学
背景情况:
- 腹腔大动脉瘤 (AAA) 和牙周炎是不同的疾病,具有潜在的共同病因.
- 了解AAA和牙周炎之间的分子相互作用对于确定常见途径和治疗点至关重要.
研究的目的:
- 确定和验证腹腔大动脉瘤 (AAA) 和牙周炎之间的相互作用基因.
- 探索这两种疾病的共同病变机制和潜在治疗策略.
主要方法:
- 对AAA和牙周炎数据集进行了差异基因表达分析和加权基因共表达网络分析 (WGCNA).
- 使用蛋白与蛋白相互作用 (PPI) 网络构建和机器学习算法来优先考虑候选基因.
- 验证包括独立数据集,ROC曲线,Nomograms,GSEA,免疫景观分析和药物预测.
主要成果:
- 通过网络和机器学习分析确定了共90个相互作用基因,其中7个关键基因是优先考虑的.
- 证实IL1B,PTGS2和SELL与AAA和牙周炎有着强烈的关联.
- 这些基因与免疫细胞,包括调节性T细胞 (Tregs) 和中性粒细胞有显著的相关性,并确定了十种潜在的向药物.
结论:
- 这项研究成功地确定了关键的相互作用基因 (IL1B,PTGS2,SELL) 链接AAA和牙周炎,这表明了共享的分子机制.
- 这些发现突显了免疫细胞透在这些疾病的并发症中的潜在作用.
- 这项研究为对AAA和牙周炎的多学科治疗措施的进一步研究提供了基础.
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