背景:脑中风是全球死亡和残疾的主要原因。川芎。(LCH),一种著名的中草药,被广泛用于治疗脑中风。本研究旨在探讨LCH在脑中风中的潜在机制,并建立诊断模型。
方法:我们采用网络药理学分析来鉴定活性化合物,目标,以及LCH治疗脑卒中的潜在机制。进行分子对接以可视化核心活性化合物和中心靶标之间的结合位点。此外,基于转录组学分析构建了脑卒中诊断模型.
结果:我们的研究结果表明,LCH含有多种活性成分,包括油酸和咖啡酸.蛋白质-蛋白质相互作用网络分析确定了IL1B,CCL2,MAPK3,PTGS2,JUN,MMP9,TLR4,HIF1A,PPARA,FOS,PTEN,NFE2L2、TLR2、TIMP1和SOD2是前15个hub基因。京都基因百科全书和基因组途径分析强调了TNF和IL-17信号通路的富集。分子对接分析表明油酸之间的结合位点,咖啡酸,和MMP9,PPARP,PTEN,和TIMP1。诊断模型表明,FOS,MMP9,PPARA,PTEN,TIMP1和TLR2可作为脑卒中的血液生物标志物。
结论:本研究表明,LCH通过与TNF和IL-17信号通路的相互作用减轻了脑卒中后的症状。这些发现有助于更好地理解LCH的治疗机制,并提供对脑中风诊断模型发展的见解。
BACKGROUND: Cerebral stroke is a leading cause of death and disability worldwide. Ligusticum Chuanxiong Hort. (LCH), a well-known Chinese herb, is widely used for the treatment of cerebral stroke. This study aimed to investigate the underlying mechanisms of LCH in cerebral stroke and develop a diagnostic model.
METHODS: We employed network pharmacology analyses to identify the active compounds, targets, and underlying mechanisms of LCH for treating cerebral stroke. Molecular docking was performed to visualize the binding site between the core active compounds and hub targets. Furthermore, a diagnostic model for cerebral stroke was constructed based on transcriptomic analysis.
RESULTS: Our findings revealed that LCH contains multiple active ingredients, including oleic acid and caffeic acid. Protein-protein interaction network analysis identified IL1B, CCL2, MAPK3, PTGS2, JUN, MMP9, TLR4, HIF1A, PPARA, FOS, PTEN, NFE2L2, TLR2, TIMP1, and SOD2 as the top 15 hub genes. Kyoto Encyclopedia of Genes and Genomes pathway analysis highlighted the enrichment of TNF and IL-17 signaling pathways. Molecular docking analysis demonstrated binding sites between oleic acid, caffeic acid, and MMP9, PPARP, PTEN, and TIMP1. The diagnostic model indicated that FOS, MMP9, PPARA, PTEN, TIMP1, and TLR2 serve as blood biomarkers for cerebral stroke.
CONCLUSIONS: This study demonstrates that LCH alleviates the symptoms following cerebral stroke through interactions with the TNF and IL-17 signaling pathways. The findings contribute to a better understanding of the therapeutic mechanisms of LCH and offer insights into the development of a diagnostic model for cerebral stroke.