Objective:To study the nursing efficacy and mechanism of carnosine on scalp discomfort symptoms and its current research progress based on network pharmacology and bibliometrics.Methods:The potential targets of carnosine were predicted by SwissTarget Prediction platform,and the potential targets of scalp-related discomfort symptoms were searched based on Genecards database and OMIM database.Then R software was used to obtain the intersection targets of carnosine and scalp discomfort symptoms,that is,the potential targets of carnosine on scalp care.The STRING platform was used to visualize the protein interaction of intersection targets,and the network analysis tool of Cytoscape software was used to screen out the key targets.GO and KEGG enrichment analysis of intersection targets were performed to analyze the potential efficacy and mechanism of carnosine in scalp care.The research status and future research trend of carnosine in the past 10 years were analyzed through bibliometrics.Results:Through network pharmacology analysis,31 intersection targets of carnosin and scalp discomfiting-related diseases were obtained,and the key targets were mainly EGFR,ICAM1,NOS3,PPARG,ITGB2,ITGB3 and LCK.There were 359 targets for biological process,33 targets for cell composition,and 50 targets for molecular function.The pathways involved mainly included NF-κB signaling pathway,arginine biosynthesis,NF-κB signaling pathway,cell adhesion,HIF-1 signaling pathway and JAK-STAT signaling pathway.Through bibliometric analysis,a total of 531 literatures were included,and the annual number of publications was stable at about 50.The main research field was medicine related field,and the main specialty was neurology.Conclusion:Carnosine may play a protective role on the scalp through multiple mechanisms such as NF-κB signaling pathway and JAK-STAT signaling pathway.At present,the exploration of carnosine efficacy focuses on the medical field and has a great application prospect in scalp care.
carnosinenetwork pharmacologyscalp discomfortmechanisms of protectionbibliometrics
万方数据
维普
