Network pharmacology-based identification for therapeutic mechanisms of Dangguikushen pill in acne vulgaris.
Bo YuNan-Nan DiaoYing ZhangXing-Zi LiNing YuYang-Feng DingYu-Ling ShiPublished in: Dermatologic therapy (2020)
The Dangguikushen (DGKS) pill is a proprietary traditional Chinese medicine that has shown superior efficacy in the treatment of acne vulgaris for many years. A network pharmacology-based analysis was performed to explore the potential anti-acne compounds, core therapeutic targets, and the main pathways, involved in the DGKS pill bioactivity. The matching results between the predicted targets of the DGKS pill and the well-known targets of acne vulgaris were collected, followed by network establishment using protein-protein interaction (PPI) data. Cytoscape was utilized to analyze the network and screen the core targets. Furthermore, the Database for Annotation, Visualization and Integrated Discovery (DAVID), and ClueGO were used for the enrichment analysis of the Kyoto Encyclopedia of Genes and Genomics (KEGG) pathways and Gene Ontology biological processes (GO-BP). Finally, the "compound-target-pathway" network was constructed. This approach identified 19 active compounds, 46 therapeutic targets, and 12 core therapeutic targets of the DGKS pill. The biological processes were primarily related to reactive oxygen species (ROS) metabolic process, gland morphogenesis, and female gonad development. The DGKS pill was significantly associated with eight pathways including the PI3K-Akt, TNF, NF-kappa B, and p53 signaling pathways. DGKS pill might have a synergistic effect on the inhibition of excessive sebaceous lipogenesis and sebocyte differentiation, and likewise, anti-inflammatory effects via the different signaling pathways (PI3K-Akt, TNF, NF-kappa B, and p53).
Keyphrases
- pi k akt
- signaling pathway
- protein protein
- nuclear factor
- reactive oxygen species
- small molecule
- cell proliferation
- cell cycle arrest
- rheumatoid arthritis
- genome wide
- epithelial mesenchymal transition
- induced apoptosis
- high throughput
- gene expression
- toll like receptor
- dna damage
- cell death
- inflammatory response
- body mass index
- wastewater treatment
- adipose tissue
- machine learning
- network analysis
- type diabetes
- risk assessment
- big data
- genome wide analysis
- human health