The Diagnostic Model of Ligusticum Chuanxiong Hort. Against Cerebral Stroke Using Network Pharmacology and Transcriptomics Analyses

Abstract

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.

Keywords

• ligusticum chuanxiong hort.
• cerebral stroke
• network pharmacology
• molecular docking
• transcriptomics