Abstract
Objectives This study aims to study the material basis and effective mechanism of musk for ischemic stroke (IS) based on the network pharmacology approach. Methods We collected the chemical components and target gene of musk from the BATMAN-TCM analytical platform and identified ischemic stroke-related targets from the following databases: DisGeNET, NCBI-Gene, HPO, OMIM, DrugBank, and TTD. The targets of musk and IS were uploaded to the String database to construct the protein-protein interaction (PPI) network, and then, the key targets were analyzed by topological methods. At last, the function biological process and signaling pathways of key targets were carried out by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and cluster analysis by using the Database for Annotation, Visualization, and Integrated Discovery (DAVID) server and Metascape platform. Results A total of 29 active compounds involving 1081 predicted targets were identified in musk and there were 1104 IS-related targets. And 88 key targets of musk for IS were obtained including AKT1, MAPK1/3, TP53, TNF, SRC, FOS, CASP3, JUN, NOS3, and IL1B. The GO and KEGG enrichment analysis suggested that these key targets are mainly involved in multiple pathways which participated in TNF signaling pathway, estrogen signaling pathway, prolactin signaling pathway, neurotrophin signaling pathway, T-cell receptor signaling pathway, cAMP signaling pathway, FoxO signaling pathway, and HIF1 signaling pathway. Conclusion This study revealed that the effective mechanisms of musk against IS would be associated with the regulation of apoptosis, inflammatory response, and gene transcription.
Highlights
Stroke, an acute cerebrovascular event caused by brain arterial or venous thrombosis or intracerebral hemorrhage, presents a variety of clinical syndromes such as facial paralysis, skewed mouth, slurred speech, or paralysis [1]. e death would happen without timely diagnosis and treatment or serious disability left over due to a large infarct/hemorrhage area
Based on the data obtained, network analysis constructs and analyzes the interaction between the nodes of the network, the network topology characteristics, and the identification of biological processes and signal pathways affected by the target, thereby clarifying the mechanism of action of traditional Chinese medicine. e following is the role of the database used in the study, as well as the flow chart
BATMAN-TCM is an online analysis platform for the Molecular Mechanism of Traditional Chinese Medicine. It mainly performs target prediction, target gene function analysis, pathway enrichment analysis, and multitraditional Chinese medicine comparative analysis [16]. It uses a similarity-based method to predict potential targets of herb’s ingredients. e principle of this method is to rank all candidate targets according to the prediction score given by the target prediction algorithm for the drug-target interaction prediction, and the targets with higher scores are regarded as potential drug targets [17]
Summary
An acute cerebrovascular event caused by brain arterial or venous thrombosis or intracerebral hemorrhage, presents a variety of clinical syndromes such as facial paralysis, skewed mouth, slurred speech, or paralysis [1]. e death would happen without timely diagnosis and treatment or serious disability left over due to a large infarct/hemorrhage area. An acute cerebrovascular event caused by brain arterial or venous thrombosis or intracerebral hemorrhage, presents a variety of clinical syndromes such as facial paralysis, skewed mouth, slurred speech, or paralysis [1]. Stroke has been the leading cause of premature death in China [3] and causes a serious social burden which may still increase as the persistent aging population and lack of attention to high-risk factors [4]. Clinical therapy includes intravenous thrombolysis, endovascular therapy, antiplatelet aggregation, and other types of management of high-risk factors. For all this, the mortality has generally declined, and disability and recurrence rates remain high [2], which causes the occurrence of alternative and complementary therapy [5]. For all this, the mortality has generally declined, and disability and recurrence rates remain high [2], which causes the occurrence of alternative and complementary therapy [5]. erefore, it is critical to seek more effective measures to prevent and treat stroke.
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