Network pharmacology-based strategy for predicting active ingredients and potential targets of Yangxinshi tablet for treating heart failure

被引:71
|
作者
Chen, Langdong [1 ]
Cao, Yan [1 ]
Zhang, Hai [2 ]
Lv, Diya [1 ]
Zhao, Yahong [3 ]
Liu, Yanjun [3 ]
Ye, Guan [3 ]
Chai, Yifeng [1 ]
机构
[1] Second Mil Med Univ, Sch Pharm, Shanghai 200433, Peoples R China
[2] Tongji Univ, Shanghai Matern & Infant Hosp 1, Sch Med, Dept Pharm, Shanghai 201204, Peoples R China
[3] Shanghai Pharmaceut Holding Co Ltd, Cent Res Inst, Shanghai 201203, Peoples R China
基金
中国国家自然科学基金;
关键词
Yangxinshi tablet; Network pharmacology; Heart failure; CONVERTING ENZYME-INHIBITORS; NF-KAPPA-B; PPAR-GAMMA; PROTEIN; DIFFERENTIATION; MECHANISM; APOPTOSIS; FORMULA; AGENTS; MAPK;
D O I
10.1016/j.jep.2017.12.011
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Ethnopharmacological relevance: Yangxinshi tablet (YXST) is an effective treatment for heart failure and myocardial infarction; it consists of 13 herbal medicines formulated according to traditional Chinese Medicine (TCM) practices. It has been used for the treatment of cardiovascular disease for many years in China. Materials and methods: In this study, a network pharmacology-based strategy was used to elucidate the mechanism of action of YXST for the treatment of heart failure. Cardiovascular disease-related protein target and compound databases were constructed for YXST. A molecular docking platform was used to predict the protein targets of YXST. The affinity between proteins and ingredients was determined using surface plasmon resonance (SPR) assays. The action modes between targets and representative ingredients were calculated using Glide docking, and the related pathways were predicted using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Results: A protein target database containing 924 proteins was constructed; 179 compounds in YXST were identified, and 48 compounds with high relevance to the proteins were defined as representative ingredients. Thirty-four protein targets of the 48 representative ingredients were analyzed and classified into two categories: immune and cardiovascular systems. The SPR assay and molecular docking partly validated the interplay between protein targets and representative ingredients. Moreover, 28 pathways related to heart failure were identified, which provided directions for further research on YXST. Conclusions: This study demonstrated that the cardiovascular protective effect of YXST mainly involved the immune and cardiovascular systems. Through the research strategy based on network pharmacology, we analysis the complex system of YXST and found 48 representative compounds, 34 proteins and 28 related pathways of YXST, which could help us understand the underlying mechanism of YSXT's anti-heart failure effect. The network-based investigation could help researchers simplify the complex system of YXSY. It may also offer a feasible approach to decipher the chemical and pharmacological bases of other TCM formulas.
引用
收藏
页码:359 / 368
页数:10
相关论文
共 50 条
  • [1] A Network Pharmacology-Based Strategy For Predicting Active Ingredients And Potential Targets Of LiuWei DiHuang Pill In Treating Type 2 Diabetes Mellitus
    He, Dan
    Huang, Jian-Hua
    Zhang, Zhe-Yu
    Du, Qing
    Peng, Wei-Jun
    Yu, Rong
    Zhang, Si-Fang
    Zhang, Shui-Han
    Qin, Yu-Hui
    [J]. DRUG DESIGN DEVELOPMENT AND THERAPY, 2019, 13 : 3989 - 4005
  • [2] Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Gegen Qinlian Decoction for Rotavirus Enteritis
    Zhong, Peicheng
    Song, Lijun
    Gao, Mengyue
    Wang, Xiaotong
    Tan, Wenpan
    Lu, Huanqian
    Lan, Qian
    Zhao, Zuyi
    Zhao, Wenchang
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2020, 2020
  • [3] Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of Coptis chinensis Franchin Polycystic Ovary Syndrome
    Ma, Jian Xiong
    Ye, Miaoyong
    Ma, Ke
    Zhou, Kang
    Zhang, Yingying
    Wang, Xiting
    Tong, Hongxuan
    [J]. EVIDENCE-BASED COMPLEMENTARY AND ALTERNATIVE MEDICINE, 2021, 2021
  • [4] Network Pharmacology-Based Prediction and Verification of the Active Ingredients and Potential Targets of Zuojinwan for Treating Colorectal Cancer
    Huang, Siqi
    Zhang, Zheyu
    Li, Wenqun
    Kong, Fanhua
    Yi, Pengji
    Huang, Jianhua
    Mao, Dan
    Peng, Weijun
    Zhang, Sifang
    [J]. DRUG DESIGN DEVELOPMENT AND THERAPY, 2020, 14 : 2725 - 2740
  • [5] A Network Pharmacology-Based Strategy for Predicting Active Ingredients and Potential Targets of LiuWei DiHuang Pill in Treating Type 2 Diabetes Mellitus (vol 13, pg 3989, 2019)
    He, Dan
    Huang, Jian-Hua
    Zhang, Zhe-Yu
    Du, Qing
    Peng, Wei-Jun
    Yu, Rong
    Zhang, Si-Fang
    Zhang, Shui-Han
    Qin, Yu-Hui
    [J]. DRUG DESIGN DEVELOPMENT AND THERAPY, 2020, 14 : 949 - 949
  • [6] A network pharmacology-based strategy for predicting anti-inflammatory targets of ephedra in treating asthma
    Huang, Xiu-Fang
    Cheng, Wen-Bin
    Jiang, Yong
    Liu, Qiong
    Liu, Xiao-Hong
    Xu, Wei-Fang
    Huang, Hui-Ting
    [J]. INTERNATIONAL IMMUNOPHARMACOLOGY, 2020, 83
  • [7] Network Pharmacology-Based Investigation for Predicting Active Ingredients and their Potential Targets from Strychnos nux-nomica L. in Treating Multiple Myeloma
    Zhou, Yan
    Zeng, Hui
    Yan, Minchao
    Jin, Keting
    Wu, Haibing
    Zhao, Xiaoyan
    Zhang, Gang
    Shen, Jianping
    Deng, Shu
    [J]. CURRENT TOPICS IN NUTRACEUTICAL RESEARCH, 2024, 22 (01) : 85 - 92
  • [8] Network pharmacology-based prediction and verification of the active ingredients and potential targets of Huagan Decoction for reflux esophagitis
    Zhao, Yueying
    Cao, Yanfeng
    Yang, Xueying
    Guo, Mingxue
    Wang, Changhai
    Zhang, Zekang
    Zhang, Qing
    Huang, Xingyue
    Sun, Meng
    Xi, Cheng
    Tangthianchaichana, Jakkree
    Bai, Jie
    Du, Shouying
    Lu, Yang
    [J]. JOURNAL OF ETHNOPHARMACOLOGY, 2022, 298
  • [9] Revealing active ingredients, potential targets, and action mechanism of Ermiao fang for treating endometritis based on network pharmacology strategy
    Zhang, Chao
    Su, Tong
    Yu, Dan
    Wang, Fei
    Yue, Chunhua
    Wang, Hai-Qiao
    [J]. JOURNAL OF ETHNOPHARMACOLOGY, 2020, 260
  • [10] Network pharmacology-based prediction and validation of the active ingredients and potential mechanisms of the Huangxiong formula for treating ischemic stroke
    Zhao, Saihong
    Zhang, Pingping
    Yan, Yonghuan
    Xu, Weifang
    Li, Jiacheng
    Wang, Lei
    Wang, Ning
    Huang, Yingying
    [J]. JOURNAL OF ETHNOPHARMACOLOGY, 2023, 312