Based on the results of previous data mining,the mechanism of high frequency use of Tibetan medicine in the treatment of high altitude polycythemia(HAPC) was analyzed in this study by network pharmacology. The author obtained the high frequency use data on Tibetan medicine Terminalia chebula,Aucklandia lappa,Crocus sativus and Myristica fragrans for the treatment of HAPC by data mining in the previous period. The first five main active ingredients of each high frequency Tibetan medicine were screened out by reviewing comprehensive literature and TCMSP database. The potential targets of each medicine were screened by PharmMapper and Drug Bank database,and then the targets were imported into MAS 3. 0 database to obtain the corresponding path information. The KEGG database was used for path annotation and GO function enrichment analysis. Finally,Cystoscope 3. 4. 0 software was used to construct " compound-target-path" network for four high-frequency Tibetan medicines. Among them,the target points of four herbs related to HAPC were 16(T. chebula),20(A. lappa),20(C. sativus),and 15(M. fragrans). The common target points included BHMT,F2,ADH5,AKR1 C2,GSK3 B,INSR and PDE4 B,involving pathways related to T. chebula(17),A. lappa(17),C. sativus(24) and M. fragrans(14),and the common pathway was metabolism of xenobiotics by cytochrome P450. The results showed that high-frequency Tibetan medicine had common pathways and targets in treating HAPC,such as T. chebula,A. lappa,C. sativus and M. fragrans.The medicines could reduce hemoglobin and enhance immunity by mediating cell proliferation and oxidative stress,exerting anti-inflammatory effects and participating in regulating blood vessels,showing therapeutic effects for HAPC. In this study,the multi-component,multi-target and multi-pathway mechanism of Tibetan medicine in preventing and treating HAPC was analyzed from the information level,providing a useful reference for further study of Tibetan medicine in preventing and treating plateau diseases from the multi-dimensional perspective.
Data Mining ; Glycogen Synthase Kinase 3 ; Humans ; Medicine, Chinese Traditional ; Medicine, Tibetan Traditional ; Polycythemia