Exploration of the efficacy and mechanism of treating head wind disease with the combination change of ginger volatile oil and gingerol by using content-weighted network pharmacology technology

Background:Exploring the efficacy,potential components,and mechanism of the combination of ginger essential oil and gingerols in the treatment of head wind disease based on network pharmacology technology with content weight.Methods:The experimental groups were divided into:0:10,1:4,1:2,1:1,2:1,4:1,10:0.The relative content(Ri)of the chemical constituents of ginger's volatile oil was determined using gas chromatography-mass spectrometry(GC-MS).Additionally,the physicochemical and biological property parameters(LogP,MDCK,PPB,MW)of the components were considered.To assess the quantitative effect of the components,a grading score was performed,and the quantitative effect index(Ki)was calculated.Subsequently,the target effect index(Ti)was calculated by combining the component-target matching score(Fit score).Using these calculations,the target effect score A was determined under the influence of multiple components targeting different targets.Key targets with A≥1000 were identified.To predict the targets related to head wind disease,the Comparative Toxicogenomics Database(https://ctdbase.org/),Gene Cards(https://www.genecards.org/),and Disgenet database(https://www.disgenet.org/)were utilized.The key targets,obtained from different proportions of ginger's volatile oil and gingerol,were intersected with the predicted targets.This facilitated network pharmacological analysis and verification of the efficacy.Results:The content of volatile oil in ginger demonstrated an impact on key targets associated with the volatile oil group.Each specific combination of volatile oil consistently activated distinct pathways,with variations stemming from changes in content.Experimental testing revealed that different combinations of ginger's volatile oil and gingerol effectively alleviated migraine symptoms in rats.Conclusion:Through the application of content-weighted network pharmacology technology and pharmacodynamic verification,it was determined that altering the ratio between ginger's volatile oil and gingerol leads to variations in potential targets and pathways,consequently impacting its efficacy.

Analysis on formula principles for“head wind”disease based on apriori and clustering algorithm

Objective:To explore the formula principles for“head wind”disease by data-mining and provide reference for the treatment of“head wind”disease.Methods:Prescriptions for headache from“Dictionary of Traditional Chinese Medicine Prescriptions”were collected,sorted and entered into the“Traditional Chinese Medicine Inheritance System”(V2.5)to analyze the composition principles by the methods of revised mutual information,complex system entropy cluster and unsupervised hierarchical cluster.Results:The herbs with high usage frequency in these prescriptions for“head wind”disease included Chuan-xiong,Bai-zhi,Xi-xin,Fang-feng,Gan-cao,Shi-Gao and Qiang-Huo.Three new prescriptions were obtained based on the composition principles and rules.The first new prescription is composed of Quan-xie,Xiong-huang,Jiang-can,Zhi-chuan-wu and Di-long.The second new prescription is composed of Du-huo,Rou-gui,Ku-shen;Fang-feng,Gao-ben,Qiang-huo.The third new prescription is composed of Fu-zi,Sheng-chuan-wu,Tian-nan-xing,Chuan-xiong,Bai-zhi,Shi-gao.Conclusion:We found that the most of herbs used to treat the“head wind”disease are warm and spicy,mainly belong to diaphoretic herbs,wind-expelling herbs,and dampness-dispelling herbs.In addition,the new prescriptions for infertility mainly focus on eliminating evil,with the characteristics of“eliminating phlegm and turbid”,“dredging the channels and collaterals”,“expelling wind-evil”and“promoting blood circulation”.