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| Research on prescription regulation and mechanisms of Dr HU Xiaomei in the treatment of polycythemia vera based on data-mining and network pharmacology |
| Hits 761 Download times 417 Received:May 21, 2021 |
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| DOI
10.11656/j.issn.1672-1519.2021.11.21 |
| Key Words
polycythemia vera;traditional Chinese medicine inheritance support system;network pharmacology;HU Xiaomei |
| Author Name | Affiliation | E-mail | | MING Jing | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China
Postdoctoral Research Programme of China Academy of Chinese Medical Sciences, Beijing 100700, China | | | LI Yujin | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China | | | YANG Erpeng | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China | | | WANG Ziqing | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China
Beijing University of Chinese Medicine, Beijing 100029, China | | | LIU Weiyi | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China | | | HU Xiaomei | Xiyuan Hospital of China Academy of Chinese Medical Sciences, Beijing 100091, China | huxiaomei_2@163.com |
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| Abstract
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| [Objective] Based on data-mining and network pharmacology methods,to explore the prescription pattern and its pharmaceutical mechanism of chief physician Dr HU Xiaomei in polycythemia vera (PV),and to provide new ideas for the treatment of PV. [Methods] Through a retrospective study method,202 effective prescriptions of HU Xiaomei for the treatment of PV from April 31,2018 to November 30,2020 were collected. The dosing regulation of her prescriptions was analyzed by traditional Chinese medicine inheritance support system (V2.5),and the top 10 herbs with higher cumulative frequency were screened by frequency analysis as core drugs for the disease. Then the core drugs were analyzed by network pharmacology to explore the underlying molecular mechanisms. [Results] The top 10 core drugs obtained by drug frequency analysis were rehmannia glutinosa libosch,radix bupleuri,herba hedyotis,radix paeoniae rubra,solanum nigrum linn,scutellariae barbatae herba,gentianae radix et rhozima,prunellae spica,scutellariae radix and achyranthis bidentatae radix. The results of the dosing pattern analysis showed that the most common couplet medicine were rehmannia glutinosa libosch and radix bupleuri. The results of network pharmacology analysis showed 378 targets of core drugs and 589 disease targets associated with PV,and the Venn diagram showed 114 targets of core drugs associated with PV. GO enrichment analysis showed that core drugs for PV mainly involve biological processes such as oxidative stress,drug response and apoptosis,which are mediated through cytokine receptor-ligand binding,phosphorylation,and heme binding. The functional location included cellular membrane and secretory cysts. KEGG is enriched in PI3K-Akt,HIF-1,JAK-STAT,P53 and other signaling pathways. The protein-protein interaction network map showed that STAT3,AKT1,TP53,MAPK1,TNF,VEGFA,MAPK14,and IL6 were likely to be the key targets for core drug treatment of PV. [Conclusion] Using data-mining and network pharmacology analysis,we obtained the high-frequency core drugs for the treatment of PV by chief physician HU Xiaomei,and revealed the potential pharmaceutical mechanism of the core drugs with multi-component,multi-target and multi-pathway against PV,which provided a reference scheme for the clinical treatment of PV and ideas for further study of the material basis and molecular mechanism. |
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