1.Chemical component analysis of Mongolian medicine compound Xieri GA-4
Jianhua GAO ; Binxin LI ; Feng BAI ; Yu DONG ; Shasha XIN
Journal of Beijing University of Traditional Chinese Medicine 2016;39(9):755-758
Objective To study the chemical components of Xieri GA-4,a Mongolian medicine com-pound.Methods After isolation by using solvent method,silica gel column chromatography,thin layer chromatography,Sephadex LH-20 column chromatography,the structure of the components were deter-mined by using modern spectrum analysis,including mass spectrometry (MS),hydrogen nuclear magnet-ic resonance spectrum (1H-NMR),13 C nuclear magnetic resonance spectrum (13 C-NMR).Results Altogether eleven components were isolated and identified as veratric acid (1),isocurcumenol (2),cro-cin-3 (3),D-mannitol (4),ursolic acid (5),baicalin (6),crocin-1 (7),magnoflorine (8),4-ami-no-4-methyl-2-pentanone (9),geniposide (10),chlorogenic acid (11)from the effective parts.Con-clusion The eleven components were first obtained from Xieri GA-4.
2.Network pharmacological studies of Mongolian compound formula Xieri-ga-4
Feng BAI ; Binxin LI ; Yu DONG ; Tianming ZHANG
Journal of Beijing University of Traditional Chinese Medicine 2018;41(2):140-147
Objective This study aims to explore the active ingredient and action target of Mongolian medicine compound formula Xieriga-4 in the treatment of benign prostatic hyperplasia, prostate cancer and other diseases.The mechanism of the chemical composition of Xieriga-4 was analyzed by using net-work pharmacology technology.Methods By searching China National Knowledge Infrastructure (CNKI),Wanfang database and other databases,Mongolian compound formula Xieriga-4's composition was identified.PubMed,Super Target,Drug Bank,TTD(Targets Database Therapeutic)and other da-tabase were used to search for action targets of the chemical composition of Xieriga-4;KEGG(Kyoto En-cyclopedia of Genes and Genomes),IPA(Ingenuity Pathway Analysis)and other database were searched to explore relevant signal pathway;Cytoscape software was applied to establish the chemical constituents-target and chemical composition-target-disease network model of the Mongolian compound formula Xieri-ga-4.Results The correlation between drug and target provided a new way to explore potential targets.The screening results showed that Mongolian drug compound formula Xieriga-4 has network interaction in 33 compounds and 12 kinds of biological targets,the correlation among which implied the"multi-compo-nent","multi-target"characteristic of online pharmacology.Meanwhile the compounds and target sites act together on disease-benign prostatic hyperplasia and prostate cancer, and the Mongolian compound Xieriga-4-chemical composition-target-disease network mode could thus be established.Through the data-base searching,two major signal pathways were identified, i.e.AR signal pathway and Wnt/-catenin signaling pathway,which provided a new idea for Mongolian medicine to explore the mechanism of dis-ease treatment.Conclusion This study has established a"disease-target-drug"model by using internet-based pharmacology,which could be a new approach to the research and development of Mongolian medi-cine.
3.Clinical metabolomics in diagnosis and therapy of coronary artery disease
Kunpeng YIN ; Hao ZHENG ; Binxin XIE ; Ping LI ; Lei ZHANG ; Yong FAN ; Wei ZHU ; Lianwen QI
Journal of China Pharmaceutical University 2017;48(6):629-634
Metabolomics,a hot field of research of life science in recent years,is to analyze endogenous smallmolecule metabolites in biological samples for an overall understanding of the characteristics of metabolic disorders.A growing number of studies have confirmed the application of metabolomics for clinical diagnosis and treatment of diseases."Metabolic fingerprint" of biological fluids can be employed for disease prevention,timely diagnosis,accurate treatment,prognostic assessment and drug discovery.Clinical metabolomics is to measure low-molecule-weight metabolites' alterations of individuals in response to physiological stressors,disease processes,or drug therapy,aiming to discover potential biomarkers and drug targets.Coronary artery disease (CAD) is characterized as complex molecular events.Metabolic disturbances are involved in CAD progression.The application of metabolomics to CAD is an emerging field.Advances in metabolomics improve our knowledge on CAD in early diagnosis,prognostic prediction,and personalized therapy.