Prediction of Psoriasis and Potential Treatment of Traditional Chinese Medicine Based on Reverse Network Pharmacology Analysis
10.12259/j.issn.2095-610X.S20241207
- VernacularTitle:基于逆向网络药理学和分子对接预测银屑病潜在治疗中药的组分构成
- Author:
Yanhong YANG
1
;
Juan HE
;
Shan JIN
;
Piaopiao YE
;
Xin LI
;
Li QIAO
Author Information
1. 昆明医科大学海源学院药学院,云南 昆明 650106
- Keywords:
Psoriasis;
Reverse network pharmacology;
Molecular docking
- From:
Journal of Kunming Medical University
2024;45(12):49-57
- CountryChina
- Language:Chinese
-
Abstract:
Objective To study the pathogenesis of psoriasisand and to provide new research ideas and directions for the prevention and treatment of psoriasis.Methods Psoriasis-related genes were obtained from genecards and NCBI databases,and intersection genes were obtained.After PPI network constructed,core differential genes were determined.Based on GO and KEGG enrichment analysis,a target gene-signaling pathway network diagram was constructed.The TCMSP and symmap platforms were used to reversely collect potential therapeutic Chinese medicines and related active ingredients,construct a predicted drug-active ingredient network diagram,and screen core targets and core ingredients for molecular docking verification.Results 262 psoriasis genes were obtained,and multiple biological entries and pathways were analyzed by GO and KEGG.Combined with the PPI network,7 key genes were identified.20 kinds of traditional Chinese medicine and 264 kinds of ingredients were collected through reverse engineering to construct a network diagram.Molecular docking verified 7 genes and the first 5 components.Conclusion This study discovered potential drugs for the treatment of psoriasis,and verified,through molecular docking,that traditional Chinese medicines and ingredients such as Hedyotis diffusa and Polygonum cuspidatum can regulate IL1B,CXCL8 and other targets,providing a reference for traditional Chinese medicine components in the treatment of psoriasis.
