通过WGCNA和机器学习识别和验证关键的补充系统相关基因,用于通过WGCNA和机器学习进行反复的自发流产
Lin Chen1, Yu Shao1, Xianshun Pan1
1Department of Gynecology, Guiyang Maternal and Child Health Care Hospital, Guiyang Children's Hospital, No. 63 Ruijin South Road, Guiyang, Guizhou, 550000 China.
Cytotechnology
|February 6, 2026
概括
研究人员确定了GRAP2和TREM2作为关键基因,与复发性自发性流产 (RSA) 有关. 这些基因在RSA上调,可能在免疫反应中发挥作用,提供潜在的诊断生物标志物.
科学领域:
- 生殖免疫学 生殖免疫学
- 生殖系统疾病的遗传学
- 发现生物标志物的发现.
背景情况:
- 复发性自发性流产 (RSA) 具有复杂的遗传和免疫学基础,对生殖健康构成重大挑战.
- 补充系统相关基因 (CRG) 在RSA病变发生过程中的确切作用仍然不完全理解.
研究的目的:
- 为了确定RSA的新型诊断生物标志物.
- 阐明导致RSA的潜在免疫相关机制.
主要方法:
- 对GEO数据集 (GSE65099,GSE26787) 的分析,以确定差异表达基因 (DEG).
- 权重基因共同表达网络分析 (WGCNA) 和蛋白质-蛋白质相互作用 (PPI) 网络,以确定关键的CRG.
- 机器学习,名ogram建模和ROC曲线分析用于诊断验证.
- 基因组丰富分析 (GSEA) 和免疫透分析,以探索机制.
- 转录因子-基因和化学基因网络的构建.
主要成果:
- 确定了GRAP2和TREM2作为与RSA相关的关键基因,两者都被发现在RSA样本中具有上调调节.
- 这些基因在训练和验证队伍中都表现出强大的诊断性能.
- GSEA表明GRAP2和TREM2参与与免疫相关的途径,与效能记忆CD4T细胞有负相关性.
- 预测了与双A和空气污染物等环境因素的潜在相互作用.
结论:
- 建议GRAP2和TREM2作为促进RSA的关键基因.
- 这些发现为参与RSA的免疫机制提供了新的见解.
- 这些已识别的基因有可能作为重复性自发流产的诊断生物标志物.
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