Skip to main content
SpringerLink
Log in

Active Ingredients and Mechanism of Action of Rhizoma Coptidis against Type 2 Diabetes Based on Network-Pharmacology and Bioinformatics

  • Published:
Current Medical Science Aims and scope Submit manuscript

Summary

A pharmacological network of “component/target/pathway” for Rhizoma coptidis against type 2 diabetes (T2D) was established by network-pharmacology, and the active components of Rhizoma coptidis and its mechanism were explored. A literature-based and database study of the components of Rhizoma coptidis was carried out and screened by ADME parameters. The targets of Rhizoma coptidis were predicted by the ligand similarity method. Related pathways were analyzed with databases, and software was used to construct a “component/target/path” network. The mechanism was further confirmed by GEO database with R software. A total of 12 active components were screened from Rhizoma coptidis, involving 57 targets including MAPK1, STAT3, INSR, and 38 signaling pathways were associated with T2D. Related signaling pathways included essential pathways for T2D such as insulin resistance, and pathways that had indirect effect on T2D. It was suggested that Rhizoma coptidis may exert its effects against T2D through multi-component, multi-target, and multi-pathway forms.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Tang J, Feng Y, Tsao S, et al. Berberine and Coptidis Rhizoma as novel antineoplastic agents: A review of traditional use and biomedical investigations. J Ethnopharmacol, 2009,126(1):5–17

    Article  CAS  PubMed  Google Scholar 

  2. Meng FC, Wu ZF, Yin ZQ, et al. Coptidis rhizoma and its main bioactive components: recent advances in chemical investigation, quality evaluation and pharmacological activity. Chin Med, 2018,13(1):13

    Article  PubMed  PubMed Central  Google Scholar 

  3. Jaacks LM, Siegel KR, Gujral UP, et al. Type 2 diabetes: A 21st century epidemic. Best Pract Res Clin Endocrinol Metab, 2016,30(3):331–343

    Article  PubMed  Google Scholar 

  4. Tong XL, Dong L, Chen L, et al. Treatment of Diabetes Using Traditional Chinese Medicine: Past, Present and Future. Am J Chin Med, 2012,40(05):877–886

    Article  PubMed  Google Scholar 

  5. Wang H, Mu W, Shang H, et al. The antihyperglycemic effects of Rhizoma Coptidis and mechanism of actions: a review of systematic reviews and pharmacological research. BioMed Res Int, 2014,2014:98093

    Google Scholar 

  6. Zhao X, Feng A, Huang Q, et al. Effect of Rhizoma Coptidis on Bax and Bcl-2 Protein Expression in Diabetic Rats with Cerebral Ischemia Reperfusion. Pract Geriat, 2017,31(11):1021–1024

    Google Scholar 

  7. Lee YS, Kim WS, Kim KH, et al. Berberine, a Natural Plant Product, Activates AMP-Activated Protein Kinase with Beneficial Metabolic Effects in Diabetic and Insulin-Resistant States. Diabetes, 2006,55(8):2256

    Article  CAS  PubMed  Google Scholar 

  8. Xia X, Yan J, Shen Y, et al. Berberine Improves Glucose Metabolism in Diabetic Rats by Inhibition of Hepatic Gluconeogenesis. PLoS One, 2011,6(2):e16556

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Lu SS, Yu YL, Zhu HJ, et al. Berberine promotes glucagon-like peptide-1 (7–36) amide secretion in streptozotocin-induced diabetic rats. J Endocrinol, 2009, 200(2):159–165

    Article  CAS  PubMed  Google Scholar 

  10. Hopkins AL. Network pharmacology. Nature Biotechnol, 2007,25:1110

    Article  CAS  Google Scholar 

  11. Hopkins AL. Network pharmacology: the next paradigm in drug discovery. Nature Chem Biol, 2008,4:682

    Article  CAS  Google Scholar 

  12. Li S, Zhang B. Traditional Chinese medicine network pharmacology: theory, methodology and application. Chin J Natural Med, 2013,11(2):110–120

    Article  Google Scholar 

  13. Li FS, Weng JK. Demystifying traditional herbal medicine with modern approach. Nature Plants, 2017, 3:17 109

    Article  Google Scholar 

  14. Barnes J. Quality, efficacy and safety of complementary medicines: fashions, facts and the future. Part I. Regulation and quality. Br J Clin Pharmacol, 2003,55(3):226–233

    Article  PubMed  PubMed Central  Google Scholar 

  15. Gu J, Gui Y, Chen L, et al. Use of Natural Products as Chemical Library for Drug Discovery and Network Pharmacology. PLoS One, 2013,8(4):e62839

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Yi F, Li L, Xu LJ, et al. In silico approach in reveal traditional medicine plants pharmacological material basis. Chin Med, 2018,13(1):33

    Article  PubMed  PubMed Central  Google Scholar 

  17. Huang WY, Dong H. Coptidis Rhizoma-Contained Traditional Formulae for Insomnia: A Potential to Prevent Diabetes?. Chin J Integr Med, 2018,24(10):785–788

    Article  PubMed  Google Scholar 

Download references

Author information

Author notes

  1. The authors contributed equally to this work.

Authors and Affiliations

  1. Faculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China

    Yuan Sun, Yi-yi Xiong, He-zhen Wu, Wei-chen Xiong, Bo Liu, Zhou-tao Xie, Wen-ping Xiao, Bi-sheng Huang & Yan-fang Yang

  2. Key Laboratory of Traditional Chinese Medicine Resources and Chemistry of Hubei Province, Wuhan, 430061, China

    He-zhen Wu & Yan-fang Yang

  3. Collaborative Innovation Center of Traditional Chinese Medicine of New Products for Geriatrics Hubei Province, Wuhan, 430065, China

    He-zhen Wu & Yan-fang Yang

  4. Key Laboratory of Traditional Chinese Medicine Resource and Compound Preparation Ministry of Education, Hubei University of Chinese Medicine, Wuhan, 430065, China

    He-zhen Wu & Yan-fang Yang

Authors
  1. Yuan Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yi-yi Xiong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. He-zhen Wu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wei-chen Xiong
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bo Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Zhou-tao Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Wen-ping Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Bi-sheng Huang
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Yan-fang Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Bi-sheng Huang or Yan-fang Yang.

Ethics declarations

The authors declare that they have no conflicts of interest with thecontents of this article.

Additional information

This project was supported by National Natural Science Foundation of China (No. 31570343).

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sun, Y., Xiong, Yy., Wu, Hz. et al. Active Ingredients and Mechanism of Action of Rhizoma Coptidis against Type 2 Diabetes Based on Network-Pharmacology and Bioinformatics. CURR MED SCI 40, 257–264 (2020). https://doi.org/10.1007/s11596-020-2182-4

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11596-020-2182-4

Key words

Search

Navigation