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China Journal of Chinese Materia Medica ; (24): 6020-6027, 2020.
Article in Chinese | WPRIM | ID: wpr-878865

ABSTRACT

In ischemic stroke sequela phase, Rehmanniae Radix Praeparata-Corni Fructus drug pair has the effect in protecting damaged neurons, but its mechanism has not been clear. In this study, network pharmacology was used to predict the mechanism of Rehmanniae Radix Praeparata-Corni Fructus in the treatment of ischemic stroke sequela. Through database search and literature retrie-val, 40 active ingredients of Rehmanniae Radix Praeparata and Corni Fructus were obtained, and their targets were obtained through STITCH and TCMSP databases. The targets of ischemic stroke sequela were obtained through OMIM,GAD,TTD and DrugBank databases. By screening the intersections of active ingredients targets and stroke treatment targets, 21 potential targets were obtained. The DAVID database was used for GO enrichment analysis and KEGG pathway analysis of potential targets. GO enrichment analysis showed that Rehmanniae Radix Praeparata-Corni Fructus were mainly involved in regulation of blood pressure, negative regulation of extrinsic apoptotic signaling and positive regulation of angiogenesis. KEGG pathway analysis showed that Rehmanniae Radix Praeparata-Corni Fructus could inhibit inflammatory response and apoptosis signaling pathway by regulating HIF-VEGFA signaling pathway in neural stem cell proliferation, TNF signaling pathway and NF-kappaB signaling pathway. Molecular docking technique was used to verify that Rehmanniae Radix Praeparata-Corni Fructus component has a good binding activity with potential targets. The results showed that in ischemic stroke sequela phase, Rehmanniae Radix Praeparata-Corni Fructus drug pair could play an important role in recovering neural function, promoting the proliferation of neural stem cells, angiogenesis, preventing neural cells apoptosis and regulating inflammatory factors.


Subject(s)
Humans , Brain Ischemia , Cornus , Drugs, Chinese Herbal , Ischemic Stroke , Molecular Docking Simulation , Stroke , Technology
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