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通过网络药理学,集群类型,WGCNA,机器学习,免疫透分析和ceRNA网络来确定静脉血栓的潜在治疗点

Zhuoji Li¹, Ming Zhong², Kaili Fu¹

¹The Second Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong Province, China.

|December 2, 2025

概括

传统中医网络揭示了静脉血栓症 (VTE) 的新型治疗点. 关键基因PPP2R1A和核糖体蛋白L9显示了通过监管网络提高静脉瘤治疗疗效的潜力.

科学领域:

药理学药理学是指药理学的学科.
基因组学就是基因组学.
免疫学免疫学免疫学

背景情况:

静脉血栓症 (VTE) 是一个全球性的健康问题,治疗选择有限.
传统中医 (TCM) 提供了潜在的治疗见解.
确定新的VTE目标对于有效治疗至关重要.

研究的目的:

通过使用TCM网络药理学来确定VTE的潜在治疗点.
阐明这些目标的行动机制.
探索已识别的点在免疫调节中的作用.

主要方法:

集成的TCM活性成分和目标与VTE患者数据.
使用Cytoscape构建了一个TCM-疾病交互网络.
采用加权基因共同表达网络分析和机器学习来识别关键基因.
进行功能丰富和免疫细胞分析.
为PPP2R1A.构建了一个竞争的内源RNA网络.

主要成果:

确定了包括FOS,ICAM1,CASP3和HSP90AA1.1在内的关键基因.
PPP2R1A和核糖体蛋白L9成为VTE治疗的中心枢纽基因.
枢纽基因与血栓蛋白,血小板功能和T细胞表达有关.
确定了一个涉及10个长非编码RNA和2个向PPP2R1A的微RNA的调控网络.

结论:

PPP2R1A和核糖体蛋白L9代表了VTE的有前途的新疗法标.
已识别的lncRNA-miRNA-mRNA网络为VTE治疗提供了理论基础.
这些发现可能有助于新型VTE疗法的临床转化.

关键词:

在WGCNA中,WGCNA是WGCNA.ceRNA 网络是什么意思集群类型化集群类型化免疫透分析免疫透分析机器学习是机器学习.静脉血栓的形成静脉血栓的形成

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