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整合机器学习来识别在莫亚莫亚病中与ubiquitination相关的基因

Hongchuan Niu¹, Xilong Wang², Zhenyu Zhou²

¹Department of Neurosurgery, Peking University International Hospital, Beijing, China.

Frontiers in neurology

|October 2, 2025

概括

这项研究确定了三种关键的无处不在基因 (ANAPC11,UCHL1,USP41) 参与莫亚莫亚病 (MMD) 病原体. 在MMD患者中减少UCHL1表达表明这种罕见的脑血管疾病是潜在的治疗点.

科学领域:

遗传学是一个遗传学.
表观遗传学在表观遗传学中,表观遗传学是指表观遗传学.
血管生物学血管生物学

背景情况:

莫亚莫亚病 (MMD) 是一种罕见的脑血管疾病,其特征是内动脉阻塞.
导致MMD的确切病原性机制在很大程度上是未知的.
表观遗传修饰,特别是无处不在,越来越多地被认为是它们在复杂疾病中的作用.

研究的目的:

为了研究与Ubiquitination相关的基因在莫亚莫亚病的发病过程中的作用.
确定MMD的潜在诊断生物标志物和治疗点.

主要方法:

使用GEO数据集 (GSE157628,GSE141024) 和GeneCards数据库进行基因采购.
采用生物信息学分析,包括差异基因表达,GO,KEGG,GSEA,LASSO和SVM.
构建了miRNA基因调节网络并分析了免疫透.

主要成果:

鉴定出ANAPC11,UCHL1和USP41作为关键的随处可见性相关基因,与MMD有关.
在MMD患者中观察到血清UCHL1水平显著降低.
证明UCHL1倒置增强了人类大脑的血管光滑肌肉细胞迁移.

结论:

ANAPC11,UCHL1和USP41是MMD病变的潜在关键参与者.
UCHL1可以作为MMD的诊断生物标志物和治疗点.
预测针对这些基因的治疗药物为MMD提供了新的治疗策略.

关键词:

表观遗传学是指表观遗传学.免疫透免疫透是什么?机器学习是机器学习.莫亚莫亚病是莫亚莫亚病的一种疾病.无处不在的化

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