Affiliation:
1. Lishui Hospital of Traditional Chinese Medicine affiliated to Zhejiang University of Traditional Chinese Medicine,
Lishui, 323000, China
2. Zhejiang She Medicine Inheritance Innovation and Development and Application Key Laboratory,
Lishui, 323000, China
3. Lishui She Medicine Inheritance Innovation and Development and Application Key Laboratory,
Lishui, 323000, China
4. Zhejiang University, Hangzhou, 310005 China
5. Zhejiang University, Hangzhou, 310005, China
6. Zhejiang Provincial Hospital for
Nationalities, Jingning, 323500, China
Abstract
Background:
Melastoma dodecandrum Lour. (MD) is a component used in traditional
Chinese medicine that is widely distributed in southern China. MD has long been used clinically to
treat various diseases, such as inflammation. However, the potential anti-inflammatory mechanism of
MD remains to be elucidated.
Objective:
In this study, network pharmacology and experimental validation have been used to explore
the underlying mechanism of MD in inflammation.
Methods:
The chemical composition of MD was determined using ultra-high performance liquid
chromatography-electrospray ionization-high resolution mass spectrometry (UHPLC-ESI-HRMS).
The effects of MD on pro-inflammatory cytokines, such as NO, i-NOS, IL-1β, and TNF-α, in
RAW264.7 cells stimulated by lipopolysaccharide (LPS) were determined by ELISA and QRT-PCR.
Through the analysis of multiple databases, targets for the treatment of inflammation with MD were
identified. Other extensive analyses included PPI, GO, and KEGG pathway enrichment, which were
completed through the use of the STRING database, Cytoscape software, and the DAVID database.
Key targets and key components have been selected for molecular docking.
Results:
A total of 33 active components were identified in MD, and 134 common targets were obtained
and used to construct the networks. Of these, 10 core components and 10 core targets of MD
in the treatment of inflammation were identified. The GO and KEGG enrichment analyses revealed
that the common targets were involved in multiple signaling pathways, including the PI3K-Akt signaling
pathway, NOD-like receptor signaling pathway, chemokine signaling pathway, and IL-17
signaling pathway. The molecular docking methods confirmed the high affinity between bioactive
molecules of MD and their targets in inflammation. Two core targets (PIK3CA and AKT) and three
core components (asiatic acid, apigenin, and kaempferol) were found to be closely related to MD in
the treatment of inflammation. In vitro, MD exerted a significant effect on LPS-stimulated NO, IL-
1β, and TNF-α secretion, and iNOS, IL-1β, and TNF-α expressions in macrophages.
Conclusion:
This study has demonstrated the bioactive constituents and mechanisms of MD in inhibiting
the secretion of inflammatory factors and the multicomponent, multitarget, and multipathway
treatment characteristics involved in inflammation, but this still needs further in vivo/in
vitro experiments.
Publisher
Bentham Science Publishers Ltd.
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