Affiliation:
1. Department of Jilin Institute of Ginseng Science, Changchun University of Chinese Medicine, Changchun 130114, China
Abstract
Background::
Asthma is a chronic inflammatory disease of the airways that seriously
endangers human health. Belamcanda chinensis (BC), a traditional Chinese medicine, has been
used to counteract asthma as it has been shown to possess anti-inflammatory and regulatory immunity
properties.
Objective::
The study aimed to investigate the mechanisms of action of BC in the treatment of
asthma; a “dose–effect weighted coefficient” network pharmacology method was established to
predict potential active compounds.
Methods::
Information on the components and content of BC was obtained by UPLC-QEOrbitrap-
MS spectrometry. Based on BC content, oral bioavailability, and molecular docking
binding energy, dose-effect weighting coefficients were constructed. With the degree greater than
average as the index, a protein–protein interaction (PPI) database was used to obtain the core key
targets for asthma under dose–effect weighting. GO function and KEGG pathway analyses of the
core targets were performed using DAVID software. Finally, MTT and ELISA assays were used
to assess the effects of active components on 16HBE cell proliferation.
Results::
The experimental results using the 16HBE model demonstrated BC to have a potential
protective effect on asthma. Network pharmacology showed SYK, AKT1, and ALOX5 to be the
main key targets, and Fc epsilon RI as the promising signaling pathway. Eight components, such
as tectoridin, mangiferin, luteolin, and isovitexin were the main active compounds, Finally, we
analyzed the LPS-induced 16HBE proliferation of each active ingredient. Based on the activity
verification study, all five predicted components promoted the proliferation of 16HBE cells. These
five compounds can be used as potential quality markers for asthma.
Conclusion::
This study provides a virtual and practical method for the simple and rapid screening
of active ingredients in natural products.
Publisher
Bentham Science Publishers Ltd.
Subject
Organic Chemistry,Computer Science Applications,Drug Discovery,General Medicine