Investigation into the potential mechanism and therapeutic targets of Cangzhu Erchen decoction for the treatment of chronic obstructive pulmonary disease based on bioinformatics and network pharmacology.
Xiaofei GuJiangang JuQingqing ChenMinjie GeHuaqiong HuangPublished in: Medicine (2024)
This study aimed to elucidate the molecular mechanisms underlying the therapeutic effects of Cangzhu Erchen decoction (CZECD) in the treatment of chronic obstructive pulmonary disease (COPD) using microarray analysis, network pharmacology, and molecular docking. The active components and candidate targets of CZECD were obtained using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and Swiss Target Prediction. COPD-related targets were collected from 5 databases. Access to drug-disease interface targets in the Venny platform. The Cytoscape program and the STRING database were used for protein-protein interaction analysis and subsequent core target screening. The DAVID database was used for Gene Ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment pathway analysis, while AutoDockTools was used for molecular docking to confirm binding affinity between drugs and key targets. A total of 140 compounds from CZECD and 5100 COPD-related targets were identified. SRC, PIK3CA, STAT3, PIK3R1, AKT1, HSP90AA1, PIK3CB, GRB2, PIK3CD, and MAPK1 were identified as the major targets of CZECD in its anti-COPD activity. GO and Kyoto Encyclopedia of Genes and Genomes enrichment studies revealed that CZECD mainly affects biological processes such as protein phosphorylation, xenobiotic response, positive regulation of the MAPK cascade, and inflammatory responses. Cancer, PI3K/AKT, and MAPK were the key pathways mediating these effects. The positive association between the core targets and the compounds was further validated by molecular docking. CZECD exerts its therapeutic role in COPD mainly through multiple compounds, targets, and pathways.
Keyphrases
- molecular docking
- signaling pathway
- pi k akt
- chronic obstructive pulmonary disease
- lung function
- cell proliferation
- protein protein
- genome wide
- molecular dynamics simulations
- emergency department
- risk assessment
- young adults
- transcription factor
- dna methylation
- big data
- papillary thyroid
- tyrosine kinase
- lymph node metastasis
- replacement therapy
- artificial intelligence
- data analysis
- human health
- protein kinase