Based on data mining and through the method of network pharmacology, we analyzed the mechanism of high-frequency use of herb pair in the treatment of constipation with aromatic traditional Chinese medicine in this study. Through data mining, aromatic traditional Chinese medicine was obtained for the treatment of constipation and Pericarpium Citri Reticulatae and Aucklandiae Radix herb pair was used as the research object. The volatile oil from Pericarpium Citri Reticulatae and Aucklandiae Radix was extracted by steam distillation, and the chemical compositions of the volatile oil were detected by gas chromatography-mass spectrometry(GC-MS). The targets of volatile oil from Pericarpium Citri Reticulatae and Aucklandiae Radix were searched by PubChem, TCMSP, STITCH and Swiss Target Prediction databases. The targets of constipation were predicted and screened in OMIM, Genecards-Search Resuits and TTD databases. The obtained targets were introduced into Cytoscape 3.7.1 to construct protein-protein interaction(PPI) network diagram for GO and KEGG pathway enrichment analysis by using R language. The network diagram of "component-target-pathway" was constructed according to the results of KEGG enrichment. Discovery Studio 2.5 software was used to verify the molecular docking between the components and the targets. Among them, the most frequently used pair of aromatic traditional Chinese medicine in the treatment of constipation was Pericarpium Citri Reticulatae and Aucklandiae Radix. A total of 33 compounds were detected by GC-MS, and a total of 180 common action targets of Pericarpium Citri Reticulatae and Aucklandiae Radix on volatile oil in the treatment of constipation were predicted. The key targets included CYP19 A1, PPARA, PGR, ACHE, SLC6 A2 and so on. GO enrichment analysis showed that the activities of Pericarpium Citri Reticulatae and Aucklandiae Radix on volatile oil were mainly involved in the biological processes such as circulatory system, blood circulation, and steroid hormone binding. In KEGG enrichment pathway, neuroactive ligand-receptor interaction, endocrine resistance, Ca~(2+) signal pathway and IL-17 signaling pathway showed significant effect on constipation. The results of molecular docking showed that PGR, the target protein related to the treatment of constipation, had a good binding with gamma-linolenic acid, dihydro-alpha-ionone, alpha-eudesmol, caryophyllene oxide and beta-ionone. The results show that by using data mining technology and network pharmacology, it is revealed that the active components of Pericarpium Citri Reticulatae and Aucklandiae volatile oil in high frequency use of aromatic traditional Chinese medicine can be used totreat constipation mainly through CYP19 A1, PPARA, PGR, ACHE, SLC6 A2 and other targets, providing a new idea and method for the further study of aromatic traditional Chinese medicine in the treatment of constipation.
Citrus ; Constipation ; Data Mining ; Drugs, Chinese Herbal ; Humans ; Medicine, Chinese Traditional ; Molecular Docking Simulation