Objective The HPLC fingerprints of different varieties of Tibetan medicine"Bangjian"were investigated to compare and analyse the differences in the chemical composition of different varieties and to further classify them,so as to provide reference for their quality control and safe clinical use.Methods HPLC method was used to establish the fingerprints of the different species of"Bangjian",and UPLC-Q-TOF-MS method was used to analyse the similarities and differences of the chemical components of the mainstream species and to identify the characteristic peaks.Chemometrics methods were used for the analysis including cluster analysis(HCA),principal component analysis(PCA)and orthogonal partial least squares discriminant analysis(OPLS-DA).Results A total of 11 chromatographic peaks were identified from 93 batches of"Bangjian"samples.The HCA and PCA methods were used to classify the 93 batches into 2 categories,and then OPLS-DA was used to classify them into 3 categories in more detail,while 4 main components were selected according to the principle of VIP>1.The results of UPLC-Q-TOF-MS and chemometric showed that the Tibetan medicine"Bangjian"could be divided into iridoids with benzoyl fragments represented by Gentiana szechenyii Kanitz and monocyclic iridoids represented by Gentiana veitchiorum Hemsl.according to their chemotypes.The latter could be divided into alpine gentian group subtype and multi-branch group ornate subtype according to the content of components.The results of the chemotypic classification proved that the traditional classification of the"Bangjian"has a material basis in science but were also flawed.Conclusion The present study demonstrates that the established HPLC fingerprint can be used to classify the"Bangjian"of the complex base elements effectively,which is expected to provide an effective reference for the improvement of quality standards of"Bangjian"and clinical safety medication.

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

This study aimed to explore the underlying framework and data characteristics of Tibetan prescription information. The information on Tibetan medicine prescriptions was collected based on 11 Tibetan medicine classics, such as Four Medical Canons(Si Bu Yi Dian). The optimal classification method was used to summarize the information structure of Tibetan medicine prescriptions and sort out the key problems and solutions in data collection, standardization, translation, and analysis. A total of 11 316 prescriptions were collected, involving 139 011 entries and 63 567 pieces of efficacy information of drugs in prescriptions. The information on Tibe-tan medicine prescriptions could be summarized into a "seven-in-one" framework of "serial number-source-name-composition-efficacy-appendix-remarks" and 18 expansion layers, which contained all information related to the inheritance, processing, origin, dosage, semantics, etc. of prescriptions. Based on the framework, this study proposed a "historical timeline" method for mining the origin of prescription inheritance, a "one body and five layers" method for formulating prescription drug specifications, a "link-split-link" method for constructing efficacy information, and an advanced algorithm suitable for the research of Tibetan prescription knowledge discovery. Tibetan medicine prescriptions have obvious characteristics and advantages under the guidance of the theories of "three factors", "five sources", and "Ro-nus-zhu-rjes" of Tibetan medicine. Based on the characteristics of Tibetan medicine prescriptions, this study proposed a multi-level and multi-attribute underlying data architecture, providing new methods and models for the construction of Tibetan medicine prescription information database and knowledge discovery and improving the consistency and interoperability of Tibetan medicine prescription information with standards at all levels, which is expected to realize the "ancient and modern connection-cleaning up the source-data sharing", so as to promote the informatization and modernization research path of Tibetan medicine prescriptions.
Medicine, Tibetan Traditional ; Knowledge Discovery ; Drug Prescriptions ; Databases, Factual ; Algorithms ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use*