Analysis on the Medication Rules of Famous National Traditional Chinese Medicine in the Treatment of Multiple Sclerosis
Objective:This study aims to summarize the medication patterns of traditional Chinese medicine(TCM)for treating multiple sclerosis(MS)nationwide.Methods:Data mining,cluster analysis,and association rule analysis were employed to investigate the medication patterns of renowned TCM doctors.Additionally,network pharmacology meth-ods were used to study the mechanisms of action of high-frequency core drugs,while molecular docking was utilized to validate the predicted results.Results:109 prescriptions were screened,with 23 high-frequency Chinese herbs identi-fied.These herbs primarily exhibited warm,cold,and neutral properties,with bitter,sweet,and pungent flavors being the most common.The meridians primarily involved were the liver,spleen,and kidney,and the most frequently used categories of drugs were tonics,heat-clearing drugs,and blood-activating stasis-removing drugs.Moreover,two high-frequency core drug clusters and six effective association rules were identified.Network pharmacology analysis revealed that Astragalus,Angelica,Poria,Coix Seed,and Atractylodes shared 31 key targets with MS,involving biological processes such as transcriptional regulation,cell migration,apoptosis,and signaling pathways such as IL-17 and TNF.Molecular docking results demonstrated strong binding activity of key active components such as quercetin and kaempferol with core targets IL-6,TNF,and IL-1β.Conclusion:Renowned TCM practitioners emphasize tonifying the spleen and kidney in MS treatment,supplemented by resolving phlegm,promoting blood circulation,removing blood stasis,clearing heat,and detoxifying,which is in line with the pathogenesis of TCM.The results of network pharmacol-ogy and molecular docking indicate that the key active ingredients in commonly used medications can modulate targets such as IL-6,TNF,and IL-1β,leveraging signaling pathways such as IL-1 7 and TNF to exert therapeutic effects.This will serve as a reference for the clinical treatment of MS.
Multiple SclerosisNational Famous Chinese Medicine PractitionerMedication PatternNetwork Pharmacology
万方数据
维普
