A Network Pharmacology-Based Study on Vital Pharmacological Pathways and Targets of Eucommiae Cortex Acting on Osteoporosis

被引:3
|
作者
Zhou, Libo [1 ]
Wu, Tao [2 ]
机构
[1] Qinghai Univ, Joint Surg, Xining 810001, Qinghai, Peoples R China
[2] Affiliated Hosp Qinghai Univ, Joint Surg, Xining 810001, Qinghai, Peoples R China
关键词
D O I
10.1155/2022/8510842
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background. Eucommiae Cortex is a Chinese herbal medicine with bone protective effects and treats osteoporosis. This study aimed to explore the pharmacological mechanisms of this complex mixture. Methods. The active compounds and disease targets involved in the study were obtained from publicly available websites and databases. Core target genes were identified by protein-protein interaction (PPI) network and topology analysis and mapped to critical components by a "component-target" regulatory network. Kyoto Encyclopedia of Genes and Genomes (KEGG) Pathway analysis and Gene Ontology (GO)analysis were performed to analyze the biological processes of target genes. Moreover, we carried out molecular docking, cell experiments, and quantitative real-time PCR to propel the research forward. Results. Eucommiae Cortex contained 28 active ingredients and 85 potential targets for antiosteoporosis. PPI networks and topology analysis screened 17 core target genes. The therapeutic mechanism involves a series of biological reactions, including host-virus response, chemical stress, oxidative stress, and cell cycle control. The KEGG enrichment illustrated that the MAPK signaling pathway might play a significant role. The final experiment detected ten genes (EGF, AKT1, JUN, MAPK8, MAPK1, CASP3, FOS, VEGFA, EGFR, and MYC) and three compounds (quercetin, kaempferol, and beta- carotene) in the MAPK pathway. Firstly, the CCK-8 and ALP activity test results showed that three compounds could enhance the proliferation and differentiation of osteoblast-like MC3T3-E1 cells. Secondly, molecular docking confirmed the favorable binding potential. Subsequently, we observed that adding 1 * 10(-6) mol/L quercetin, 1 * 10(-5) mol/L kaempferol, and 1 * 10(-5) mol/L beta-carotene activated the ERK/JNK cascades and the heterodimer complex AP-1(Fos/Jun) in the MAPK pathway. Conclusion. MAPK pathway might provide an essential mechanism for the antiosteoporosis effect of Eucommiae Cortex. Eucommiae Cortex and its active ingredients have the potential to treat osteoporosis.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] Targets and Mechanisms of Xuebijing in the Treatment of Acute Kidney Injury Associated with Sepsis: A Network Pharmacology-based Study
    Wang, Jing
    Luo, Chengyu
    Luo, Mengling
    Zhou, Siwen
    Kuang, Guicheng
    CURRENT COMPUTER-AIDED DRUG DESIGN, 2024, 20 (06) : 752 - 763
  • [32] Network pharmacology-based identification of the key mechanism of Qinghuo Rougan Formula acting on uveitis
    Jing, Changying
    Sun, Zhuolun
    Xie, Xiaofeng
    Zhang, Xiuyan
    Wu, Shanshan
    Guo, Keying
    Bi, Hongsheng
    BIOMEDICINE & PHARMACOTHERAPY, 2019, 120
  • [33] Identification of kaempferol as an OSX upregulator by network pharmacology-based analysis of qianggu Capsule for osteoporosis
    Huang, Ann Yehong
    Xiong, Zhencheng
    Liu, Kuankuan
    Chang, Yanan
    Shu, Li
    Gao, Guolan
    Zhang, Chi
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [34] Network Pharmacology-Based Strategy to Investigate the Pharmacological Mechanisms of Ginkgo biloba Extract for Aging
    Liu, Yanfei
    Liu, Yue
    Zhang, Wantong
    Sun, Mingyue
    Weng, Weiliang
    Gao, Rui
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2020, 2020
  • [35] A Network Pharmacology-Based Study on the Hepatoprotective Effect of Fructus Schisandrae
    Hong, Ming
    Zhang, Yongsheng
    Li, Sha
    Tan, Hor Yue
    Wang, Ning
    Mu, Shuzhen
    Hao, Xiaojiang
    Feng, Yibin
    MOLECULES, 2017, 22 (10)
  • [36] Network Pharmacology-based Strategy to Investigate Pharmacological Mechanisms of Qingbutongluo Pill for Treatment of Brucellosis
    Wang, Jing
    He, Jia-Wei
    Liu, Ji-Shan
    Li, Jian-E
    Cui, Qing-You
    Wang, Yi-Rui
    Zhou, Wei-Gang
    COMBINATORIAL CHEMISTRY & HIGH THROUGHPUT SCREENING, 2023, 26 (04) : 706 - 718
  • [37] Network pharmacology-based pharmacological mechanism prediction on Eucommia ulmoides against rheumatoid arthritis
    Ying, Yonggan
    Tang, Zhaopeng
    Niu, Feng
    Xu, Taotao
    Xia, Chenjie
    Zhang, Shuijun
    MEDICINE, 2022, 101 (29) : E29658
  • [38] Analysis of pharmacological mechanisms of Yinyanghuo as treatment of erectile dysfunction with network pharmacology-based strategy
    Yang, Xudong
    Cui, Yuanshan
    Zhou, Zhongbao
    Zhao, Huishan
    Zhang, Yong
    ANDROLOGIA, 2021, 53 (02)
  • [39] Network Pharmacology-Based Prediction of the Active Compounds, Potential Targets, and Signaling Pathways Involved in Danshiliuhao Granule for Treatment of Liver Fibrosis
    Tao, Yueying
    Tian, Kunming
    Chen, Ji
    Tan, Danfeng
    Liu, Yan
    Xiong, Yongai
    Chen, Zehui
    Tian, Yingbiao
    EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2019, 2019
  • [40] Study on complications of osteoporosis based on network pharmacology
    Song, Zhijing
    Zhang, Haoling
    Jiang, Yuhang
    Zhao, Rui
    Pei, Xuedong
    Ning, Haochi
    Chen, Hailiang
    Pan, Jing
    Gong, Yanlong
    Song, Min
    Wang, Wei
    FRONTIERS IN GENETICS, 2022, 13