Objective: To study the hydrolytic pearl honey solution by using network pharmacology ideas and methods

and explore the correlations between compositions-targets

compositions-disease

and compositions-genes by analyzing the relationship of "herb-compound targets-gene-disease". Method: Based on the literature data from PubMed

TCMSP

STITCH

database

the national population health science data sharing platform

and Go-pubmed knowledge mining tool

the effective chemical compositions of pearls and honey from the solution were used to construct the multi-composition-multi-target network

multi-composition-multi-disease network

and disease-gene network. Then the enrichment analysis of the genes and target data of respiratory system diseases in OMIM and CTD databases was conducted to build disease gene-protein PPI correlation network model by using Bisogenet plug-in components in cytoscape software. Result: The analysis of various network pharmacological maps showed that these chemical active components can play effect on 560 targets

224 different types of targets included PTGS1 and PTGS2 isomerases involved in various physiological and pathological processes such as neoplasm

regulation of blood pressure

and inflammatory reaction in the body

cathepsin D

coagulation factor Ⅶ chain

recombinant human protein tyrosine phosphatase non-receptor 1(PTPN1)

cytochrome P450-CAM (CYPs)

and Gamma aminobutyric acid receptor subunit alpha 1 (GABRA1). Conclusion: It is suggested that the hydrolysis of pearl honey solution has some anti-inflammatory effects

regulating endocrine and astringent

which can be used to treat recurrent respiratory infection and has good application prospect. According to the author's clinical basis

192 diseases were involved

and 139 genes related to respiratory disease were selected for pathway enrichment analysis

where 97 pathway sets were obtained to provide foundation for further experimental studies on efficacy.