Publication Cover
Natural Product Research
Formerly Natural Product Letters
Volume 35, 2021 - Issue 4
481
Views
12
CrossRef citations to date
0
Altmetric
Short Communications

Network pharmacology uncovers anti-cancer activity of vibsane-type diterpenes from Viburnum odoratissimum

, , , , ORCID Icon, & show all
Pages 637-640 | Received 25 Jan 2019, Accepted 10 Feb 2019, Published online: 11 Mar 2019
 

Abstract

Vibsane-type diterpenes, the characteristic compounds of Viburnum odoratissimum, exhibited significant cytotoxicity in many cancer cells. To search for the potential target of vibsane-type diterpenes on lung cancer, we combined methods of network pharmacology prediction and experimental verification. 80 active ingredients, 23 potential targets and 39 related pathways were analyzed through constructing the compound-target network and target-pathway network, and the potential target (EGFR) and key pathway (PI3K/Akt) were identified. Vibsanol C, an isolated vibsane-type diterpene with excellent cytotoxicity against lung cancer cells was chosen for further confirmation. Molecular docking study and drug affinity responsive target stability (DARTS) approach further indicated that EGFR is a direct target of Vibsanol C. Moreover, mechanistic studies revealed Vibsanol C might affect PI3K/Akt pathway by Western blot analysis. In conclusion, this study successfully predicted and confirmed the potential target of Vibsane-type diterpenes on lung cancer.

Graphical abstract

Disclosure statement

The authors have declared that there is no conflict of interest.

Additional information

Funding

This work was supported by the National Natural Science Foundation under Grant (81703385).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 861.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.