A Network Pharmacology Approach to Investigate the Mechanism of Erjing Prescription in Type 2 Diabetes

被引:7
|
作者
Wang, Jiexin [1 ]
Chu, Haiqing [1 ]
Li, Hangying [1 ,2 ]
Yang, Wenqian [1 ]
Zhao, Yu [1 ]
Shen, Tong [1 ]
Cary, John [3 ]
Zhang, Liming [1 ,2 ,4 ]
机构
[1] Ningxia Med Univ, Coll Pharm, Yinchuan 750004, Ningxia, Peoples R China
[2] Ningxia Engn & Technol Res Ctr Modernizat Chinese, Yinchuan 750004, Ningxia, Peoples R China
[3] Ningxia Med Univ, Yinchuan 750004, Ningxia, Peoples R China
[4] Ningxia Med Univ, Key Lab Ningxia Ethnomed Modernizat, Minist Educ, Yinchuan 750004, Ningxia, Peoples R China
基金
中国国家自然科学基金;
关键词
NEUROTROPHIC FACTOR; INSULIN-RESISTANCE; MELLITUS; POLYSACCHARIDE; FAILURE; RISK; AKT2; RATS;
D O I
10.1155/2021/9933236
中图分类号
R [医药、卫生];
学科分类号
10 ;
摘要
Erjing prescription (EJP) was an ancient formula that was recorded in the General Medical Collection of Royal Benevolence of the Song Dynasty. It has been frequently used to treat type 2 diabetes mellitus (T2DM) in the long history of China. The formula consists of Lycium barbarum L. and Polygonatum sibiricum F. Delaroche with a ratio of 1 : 1. This study aimed to identify the potential effects and mechanisms of EJP treatment T2DM. The target proteins and possible pathways of EJP in T2DM treatment were investigated by the approach of network pharmacology and real-time PCR (RT-PCR). 99 diabetes-related proteins were regulated by 56 bioactive constituents in EJP in 26 signal pathways by Cytoscape determination. According to GO analysis, 606 genes entries have been enriched. The PPI network suggested that AKT1, EGF, EGFR, MAPK1, and GSK3 beta proteins were core genes. Among the 26 signal pathways, the PI3K-AKT signal pathway was tested by the RT-PCR. The expression level of PI3K p85, AKT1, GSK3 beta, and Myc mRNA of this pathway was regulated by EJP. The study based on network pharmacology and RT-PCR analysis revealed that the blood sugar level was regulated by EJP via regulating the PI3K-AKT signal pathway. Plenty of new treatment methods for T2DM using EJP were provided by network pharmacology analysis.
引用
收藏
页数:13
相关论文
共 50 条
  • [1] Network pharmacology-based approach to investigate the mechanism of Huang-Lian-Jie-Du-Decoction for treatment of type 2 diabetes mellitus
    Li, Hui-Ling
    Chen, Chen
    Chen, Chao
    TRADITIONAL MEDICINE RESEARCH, 2021, 6 (04):
  • [2] Network Pharmacology Combined with Metabolomics Approach to Investigate the Toxicity Mechanism of Paclobutrazol
    Yue, Kexin
    Liu, Zhiqiang
    Pi, Zifeng
    Li, Hanlin
    Wang, Yingping
    Song, Fengrui
    Liu, Zhongying
    CHEMICAL RESEARCH IN TOXICOLOGY, 2022, 35 (04) : 626 - 635
  • [3] A network pharmacology approach to investigate the blood enriching mechanism of Danggui buxue Decoction
    Shi, Xu-Qin
    Yue, Shi-Jun
    Tang, Yu-Ping
    Chen, Yan-Yan
    Zhou, Gui-Sheng
    Zhang, Jing
    Zhu, Zhen-Hua
    Liu, Pei
    Duan, Jin-Ao
    JOURNAL OF ETHNOPHARMACOLOGY, 2019, 235 : 227 - 242
  • [4] A network pharmacology approach to investigate the mechanism of Shuxuening injection in the treatment of ischemic stroke
    Cui, Qian
    Zhang, Yu-liang
    Ma, Yu-hui
    Yu, Hao-yu
    Zhao, Xin-zhe
    Zhang, Li-hui
    Ge, Shao-qin
    Zhang, Guo-wei
    Qin, Xiu-de
    JOURNAL OF ETHNOPHARMACOLOGY, 2020, 257
  • [5] A Network Pharmacology Approach to Investigate the Anti- Depressive Mechanism of Gardeniae fructus
    Xiao, Zhijun
    Liu, Cuicui
    Duan, Jingjing
    Zhou, Ting
    Liu, Xiufeng
    Lu, Saihua
    Xu, Feng
    INTERNATIONAL JOURNAL OF PHARMACOLOGY, 2020, 16 (05) : 382 - 397
  • [6] Study on the mechanism of lupenone for treating type 2 diabetes by integrating pharmacological evaluation and network pharmacology
    Xu, Feng
    Zhang, Mei
    Wu, Hongmei
    Wang, Yuanmin
    Yang, Ye
    Wang, Xiangpei
    PHARMACEUTICAL BIOLOGY, 2022, 60 (01) : 997 - 1010
  • [7] In Silico Molecular Docking of Phytochemicals for Type 2 Diabetes Mellitus Therapy: A Network Pharmacology Approach
    Prakash, Sooriyakala Rani Sri
    Kamalnath, Sree Meenakshi
    Antonisamy, Arul Jayanthi
    Marimuthu, Sivasankari
    Malayandi, Sankar
    INTERNATIONAL JOURNAL OF MOLECULAR AND CELLULAR MEDICINE, 2023, 12 (04) : 372 - 387
  • [8] Mechanism of Caffeoylquinic Acids in the Treatment of Type II Diabetes Based on Network Pharmacology
    Li L.
    Zhu W.
    Zhu S.
    Zhang L.
    Zhang P.
    Zheng Z.
    Science and Technology of Food Industry, 2021, 42 (14) : 16 - 24
  • [9] Based on Plasma Metabonomics and Network Pharmacology Exploring the Therapeutic Mechanism of Gynura procumbens on Type 2 Diabetes
    Guo, Wenjing
    Ouyang, Hui
    Liu, Mi
    Wu, Jiahui
    He, Xiao
    Yang, Shilin
    He, Mingzhen
    Feng, Yulin
    FRONTIERS IN PHARMACOLOGY, 2021, 12
  • [10] Combining bioinformatics, network pharmacology and artificial intelligence to predict the mechanism of celastrol in the treatment of type 2 diabetes
    Wu, Ming
    Zhang, Yan
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13