Network Pharmacology-Based Analysis on Lonicera japonica for Chronic Osteomyelitis Treatment

Retracted: Network Pharmacology-Based Analysis on Lonicera japonica for Chronic Osteomyelitis Treatment

[This retracts the article DOI: 10.1155/2022/1706716.].

Prospects for the application of traditional Chinese medicine network pharmacology in food science research

There has always been a particular difficulty with in-depth research on the mechanisms of food nutrition and bioactivity. The main function of food is to meet the nutritional needs of the human body, rather than to exert a therapeutic effect. Its relatively modest biological activity makes it difficult to study from the perspective of general pharmacological models. With the popularity of functional foods and the concept of dietary therapy, and the development of information and multi-omics technology in food research, research into these mechanisms is moving towards a more microscopic future. Network pharmacology has accumulated nearly 20 years of research experience in traditional Chinese medicine (TCM), and there has been no shortage of work from this perspective on the medicinal functions of food. Given the similarity between the concept of 'multi-component-multi-target' properties of food and TCM, we think that network pharmacology is applicable to the study of the complex mechanisms of food. Here we review the development of network pharmacology, summarize its application to 'medicine and food homology', and propose a methodology based on food characteristics for the first time, demonstrating its feasibility for food research. © 2023 Society of Chemical Industry.

Discussion on the molecular mechanism of Duhuo Jisheng decoction in treating osteoarthritis based on network pharmacology and molecular docking

In this study, network pharmacology and molecular docking technology were used to explore the molecular mechanisms of the Duhuo Jisheng decoction in the treatment of osteoarthritis (OA). The chemical composition of the prescriptions was obtained from the traditional Chinese medicine systems pharmacology database and analysis platform (TCMSP) database and the retrieved literature. Targets for the active ingredients were obtained using TCMSP and the Swiss Target Prediction Database. Disease targets were obtained from GeneCards and DisGeNET databases. The online tool, Venny, was used to obtain common targets for drugs and diseases. Protein-protein interactions (PPI) between common targets were analyzed using the search tool for the retrieval of interacting genes/proteins (STRING) database. Common targets were analyzed for gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment using the database for annotation, visualization and integrated discovery (DAVID) database. Molecular docking of the first 10 targets and first 10 components was verified using AutoDock Tools software, and the docking diagram was visualized using PyMOL software. After screening, 210 chemical components of the Duhuo Jisheng decoction (DHJSD) were identified. The 253 common targets of drugs and diseases were combined by eliminating repeat values. Based on PPI network analysis, the top ten targets were SRC, STAT3, MAPK3, MAPK1, RELA, PIK3R1, HSP90AA1, TP53, EP300, and AKT1. KEGG analysis showed that DHJSD could regulate the HIF-1, PI3K-Akt, and JAK-STAT signaling pathways. The biological processes involved include inflammatory reactions, the negative regulation of apoptosis, and the positive regulation of cell proliferation. Molecular docking results showed that all targets, except the RELA protein, showed good binding to the compounds, indicating that the 10 components might exert therapeutic effects by binding to the above targets. DHJSD can treat OA by regulating the HIF-1, PI3K-Akt, and JAK-STAT signaling pathways. The proteins involved were SRC, STAT3, MAPK3, MAPK1, and PIK3R1. In this study, network pharmacology was used to predict the mechanism of DHJSD in OA treatment, which was verified by molecular docking to provide experimental research ideas and scientific basis for OA treatment.