Sponsor(s): Central Station of Chinese Medicinal Materials Information; State Food and Drug Administration
12 issues per year
Journal official website:http://zyca.chinajournal.net.cn/WKC/WebPublication/index.aspx?mid=zyca
Journal of Chinese Medicinal Materials is supervised by Central Station of Chinese Medicinal Materials Information and sponsored by Central Station of Chinese Medicinal Materials Information and State Food and Drug Administration. The journal covers research article of Chinese herbal medicine planting and raising technology, resource exploitation and utilization, concocted processing maintenance of medicinal herbs, identification, ingredient, pharmacology, preparations, and pharmacy. The journal is included in CA, JST and CSCD.
Chairman of the Editorial Board
Molecular Targets and Mechanisms of Dayuan Decoction in the Treatment of Coronavirus Disease (COVID-19) based on Network Pharmacology and Molecular Docking
Journal of Chinese Medicinal Materials,2020,No. 05
ObjectiveTo explore the molecular targets and mechanisms of Dayuan Decoction in the treatment of coronavirus disease (COVID-19) based on network pharmacology and molecular docking, so as to provide the reference for the treatment of COVID-19 with traditional Chinese medicine. Methods The TCMSP and Drugbank databases were used to retrieve the effective components and targets of Dayuan Decoction. The targets of COVID-19 were obtained by Gennecards and OMIM databases with “novel coronavirus pneumonia” as the keyword. Common targets for both were obtained through bioinformatics and evolutionary genomics systems. The target map of Dayuan Decoction in the treatment of COVID-19 was constructed based on Cytoscape3.7.2. The protein-protein interaction (PPI) network combined with the cytoHubb plug-in of Cytoscaape3.7.2 was used to explore the target correlations and figure out the most enriched targets. The GO and KEGG enrichment analysis of the targets for Dayuan Decoction in the treatment of COVID-19 was performed using R language. AutoDock 4.2 and PyMol were used for the docking of core components to targets and visualization. Results A total of 166 active components of Dayuan Decoction were obtained. There were 83 main components of Dayuan Decoction responsible for the treatment of COVID-19, mainly including quercetin from Fructus Tsaoko and Radix Glycyrrhizae and kaempferol from Anemarrhenae Rhizoma and Paeoniae Radix Alba. There were 203 targets for Dayuan Decoction, 253 targets for COVID-19, and 45 targets for COVID-19 treated by Dayuan Decoction. The main core targets were IL6, MAPK8, CASP3, IL10, and IL1 B. The treatment of COVID-19 by Dayuan Decoction involved 75 GO terms, mainly the cytokine receptor binding, and 148 KEGG pathways, mainly the AGE-RAGE signaling pathway in diabetic complications. The molecular docking results showed that quercetin, an important compound of Dayuan Decoction for the treatment of COVID-19, had good affinities with the core targets IL6, MAPK8, CASP3, IL10, and IL1 B. Conclusion Through network pharmacology and molecular docking analysis, the molecular targets and mechanism of Dayuan Decoction in the treatment of COVID-19 were revealed, which has provided the clinical and basic references for the treatment of COVID-19 with traditional Chinese medicine.
Study on Effects of Jinhua Qinggan Granules in the Treatment of COVID-19 based on Network Pharmacology
Journal of Chinese Medicinal Materials,2020,No. 05
Objective To explore the mechanism of Jinhua Qinggan Granules in treating COVID-19. Methods According to ADME characteristics of drugs, the active compounds and targets of Jinhua Qinggan Granules were screened by TCMSP platform. The component target network was constructed. The related targets of COVID-19 were retrieved based on GeneCards database. The protein-protein interaction (PPI) network was constructed by STRING database and the key targets were screened by Cytoscape software. The obtained target information was analyzed using DAVID database to analyze biological processes and pathway enrichment. Results 263 targets of Jinhua Qinggan Granules and 346 COVID-19 related target genes were screened out, and the mapping resulted in 49 common genes. The important gene targets were IL6, IL1 β, CXCL8, CCL2, IL2, IL4, ICAM1, IL10, IFNG, and IL1 A. The GO analysis results showed that the biological processes mainly included cytokine activity, MAP kinase activity, chemokine activity, inflammatory response, and immune response. KEGG pathway analysis showed that Jinhua Qinggan Granules’ signaling pathways for the treatment of COVID-19 mainly included TNF signaling pathway, influenza A, HIF-1 signaling pathway, NOD-like receptor signaling pathway, Toll-like receptor signaling pathway, VEGF signaling pathway, MAPK signaling pathway, and T cell receptor signaling pathway. Conclusion Jinhua Qinggan Granules exert the therapeutic effects on COVID-19 by acting on multiple targets and multiple pathways to regulate the immunity and reduce inflammation, but its mechanism still needs to be confirmed by experiments.