OBJECTIVE To screen the active components of natural drugs that can effectively treat liver fibrosis based on the perspective of ferroptosis by utilizing bioinformatics research methods,for providing the novel therapeutic strategies in managing chronic liver diseases.METHODS Liver fibrosis-related datasets were retrieved from the GEO database,while ferroptosis-related targets were obtained from the FerrDb database.The differentially expressed interacting targets between ferroptosis and liver fibrosis were used to construct a protein interaction network,and the key targets were subjected to phenotypic analysis using the VarElect tool.The common targets were subjected to enrichment analysis using the WebGestalt database and omicshare platform.We utilized the CTD to identify small molecules of drugs,while the TCMSP was employed to discover the natural sources of these drug small molecules and their respective targets for molecular docking analysis.RESULTS The GSE171294 dataset was screened and 328 targets were obtained after differential analysis,while 256 ferroptosis targets were obtained.After cross-processing,11 common targets were obtained.And functional enrichment analysis revealed that the common targets were related to metabolic processes,cell proliferation,and with glutamine metabolic pathway and mTOR signaling pathway,etc.The CTD showed that 15 natural active ingredients such as bisphenol A,quercetin and resveratrol corresponded to the 11 targets,and formed a good molecular docking.CONCLUSION This study investigates 15 natural active ingredients derived from traditional Chinese medicine,obtained through biological big data analysis.These ingredients have shown potential in regulating ferroptosis and liver fibrosis.The findings of this study contribute to the development of liver fibrosis drugs and provide a scientific reference for further research on natural active ingredients.
维普
万方数据