Keywords
Radix notoginseng
Network pharmacology
Core network
Network factors
Submitted : 2024-06-05
Accepted : 2024-06-20
Published : 2024-07-05
Abstract
Objective: To study the anti-aging effects of Radix Notoginseng and to explore its molecular network mechanism. Methods: Aging and Radix notoginseng gene targets were searched and downloaded from the Genecards website, then Venn intersection analysis was performed to find common genes for diseases and drugs to explore candidate targets for Radix notoginseng in the treatment of aging. Bioinformatics was then used to analyze the biological processes, cellular components, molecular functions, and KEGG signaling pathways of the shared target network. Protein molecular network construction was carried out to find the core molecular network genes of the drug Radix notoginseng for the treatment of aging. A final PubMed literature comparison was performed to assess the value of the potential role of core network genes. Results: The keywords “Aging” and “Radix notoginseng” were queried in Genecards and 25,000 aging-related targets were obtained, 17 for Radix notoginseng. GO and KEGG analysis of the intersecting genes obtained from the Venn intersection analysis then showed that the BP with the highest potential to be associated with disease and drugs is positive regulation of protein phosphorylation, CC is macromolecular complex and MF is identical protein binding. The KEGG with the higher correlation is lipid and atherosclerosis, AGE-RAGE signaling pathway in diabetic complications, and proteoglycans in cancer. A total of 10 hub genes were identified in the PPI network construction, including EGFR, MMP9, TNF, VEGFA, RHOA, CDKN1A, CASP3, CCND1, AKT1, and IL1B. Among these, it found that a large number of MMP9 and TNF genes were reported in the literature, with the remaining hub genes less frequently reported in the literature. Conclusion: This study uses bioinformatics and network pharmacology to explain the core network mechanisms of the drug Radix notoginseng in the treatment of aging using the latest databases. The results show that hub genes such as CDKN1A, EGFR, and AKT1 are involved in the core biological processes of aging. The results of the study provide an important reference for resolving the core molecular network mechanism of anti-aging properties and provide a validation basis for future experimental validation.
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