BackgroundCassiae Semen (CS) is one of the most well-known herbs used in the treatment of cataracts in China. However, the potential mechanisms of its anti-cataracts effects have not been fully explored.MethodThe active compounds of CS were obtained from TCMSP database, and their targets were retrieved from the TCMSP, STITCH and DrugBank databases. Cataracts related target genes were identified from the GeneCard, Malacard, and OMIM databases. GO and KEGG analysis were performed using DAVID online tools, and Cytoscape were used to construct compound-targets network and protein-protein interaction (PPI) networks, cluster analysis were carried out using MCODE plugin for Cytoscape.ResultsWe obtained 13 active compounds from CS and 105 targets in total to construct a compound-target network, which indicated that emodin, stigmastero, and rhein served as the main ingredients in CS. A total of 238 cataracts related targets were identified from public databases. PPI networks of compound targets and cataract-related targets were constructed and merged to obtained the central network, enrichment analysis showed 50 key targets in the central network enriched in several important signaling pathways, such as thyroid hormone signaling pathway, MAPK signaling pathway, PI3K-Akt signaling pathway. The top 4 genes with higher degree in the central network were TP53, HSP90, ESR1, EGFR, indicating their important roles in the treatment of cataracts.ConclusionsThe present study systematically revealed the multi-target mechanisms of CS on cataracts using network pharmacology approach, and provided indications for further mechanistic studies and also for the development of CS as a potential treatment for cataracts patients.
Cassiae semen (CS) is one of the most well-known herbs used in the treatment of cataracts in China. However, the potential mechanisms of its anticataract effects have not been fully explored. In this study, network pharmacology was used to investigate the potential mechanism underlying the actions of CS against cataracts, and molecular docking was performed to analyze the binding activity of proteins and compounds. qPCR was performed to detect the mRNA level of genes, and the cell apoptotic rate was measured using flow cytometry. We identified 13 active compounds from CS and 105 targets, as well as 238 cataract-related targets. PPI networks were constructed, and fifty key targets were obtained. These key targets were enriched in the regulation of transcription, apoptotic process, and signal transduction pathways. Molecular docking demonstrated that the compounds of CS exhibited good affinity to some critical targets. Furthermore, CS prevented the apoptosis of human lens epithelial cells induced by UVB lights by decreasing the gene expression of CASP3, ESR1, and TP53 and increasing the CRYAB gene expression. The present study attempted to explain the mechanisms for the effects of CS in the prevention and treatment of cataracts and provided an effective strategy to investigate active ingredients from natural medicines. Further studies are required to verify these findings via in vivo and in vitro experiments.
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