Effective Components and Mechanisms of Drynariae Rhizoma Anti-osteoporosis Based on Network Pharmacology
10.13422/j.cnki.syfjx.20191239
- VernacularTitle: 基于网络药理学探讨骨碎补抗骨质疏松的物质基础及作用机制
- Author:
Dong-hao GAN
1
;
De-qiang CHEN
2
;
Peng FENG
1
;
Zhan-wang XU
2
Author Information
1. Shandong University of Traditional Chinese Medicine(TCM), Ji'nan 250355, China
2. Affiliated Hospital of Shandong University of TCM, Ji'nan 250014, China
- Publication Type:Research Article
- Keywords:
Drynariae Rhizoma;
osteoporosis;
network pharmacology;
material basis;
mechanism;
protein interaction network map
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2019;25(13):186-191
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To predict the target of active components of Drynariae Rhizoma by the network pharmacology, map related targets of osteoporosis (OP), and analyze key nodes of interaction topologically, so as to comprehensively explore the pharmacological mechanism of anti-op of osteoclasts. Method:Firstly, the main active components of Drynariae Rhizoma were screened out from TCMSP based on the pharmacokinetic characteristics, and the related targets were predicted by Pubchem and Swiss Target Prediction database according to the Two-dimensional/Three-dimensional(2D/3D)structural similarity. Then, through Online Mendelian Inheritance in Man (OMIM) and Pubmed text, known OP therapeutic targets were mined, based on putative targets, String database was imported to build Drynariae Rhizoma treatment target OP interaction network diagram. With the help of CytoNCA software, the interaction key nodes were topologically identified according to relevant node parameters, and then imported into String database to build the protein interaction network graph. Finally, biological functions and metabolic pathways of key nodes were analyzed through DAVID database. Result:Sixteen active components of Drynariae Rhizoma were screened out, and 118 related targets were predicted according to the target prediction technique. Totally 316 known therapeutic targets for OP were retrieved. The protein interaction network was constructed according to the String network database. A total of 97 key nodes were screened via CytoNCA topology. The enrichment analysis showed that Drynariae Rhizoma may play an anti-osteoporosis role by regulating stem cells, osteoblasts, osteoclasts and immune cells through multiple signaling pathways in aspects of proliferation, differentiation, immunity and oxidative stress. Conclusion:Studies based on network pharmacology have shown that Drynariae Rhizoma may play an anti-op role through direct or indirect targets and multiple major signaling pathways and affect the proliferation and differentiation of multiple types of cells, in order to provid a scientific basis for explaining the material basis and mechanism of Drynariae Rhizoma's anti-osteoporosis effect.
