Network pharmacologic analysis of molecular mechanism of Baohe Wan in treatment of diarrhea with gastrointestinal food stagnation syndrome combined with intestinal flora disorder.
Shijie Huaren Xiaohua Zazhi 2023;
31:622-629. [DOI:
10.11569/wcjd.v31.i15.622]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/23/2023] [Accepted: 08/03/2023] [Indexed: 08/08/2023] Open
Abstract
BACKGROUND
Network pharmacology integrates information such as drugs, targets, and diseases, effectively elucidating the potential interaction between multiple components of traditional Chinese medicine and multiple targets of diseases. However, in many network pharmacology studies, the effect of traditional Chinese medicine on disease targets is often emphasized, while the effect of the gut microbiota on disease targets is ignored. The inclusion of the gut microbiota in the study of network pharmacology can contribute a new idea for the multi-component, multi-target, and multi-approach study of traditional Chinese medicine.
AIM
To explore the possible molecular mechanism of Baohe Wan in the treatment of diarrhea with gastrointestinal food stagnation syndrome combined with intestinal flora disorder through network pharmacology.
METHODS
The active ingredients and corresponding targets of Baohe Wan were screened based on the TCMSP and BATMAN-TCM databases. The GeneCards database was used to search related targets of diarrhea with gastrointestinal food stagnation syndrome and intestinal flora, and Venny platform was used to screen common targets of active ingredients and diseases. Cytoscape 3.9.1 was used to build disease-target-compound networks to screen effective targets for drug target and disease target interactions. The STRING database was used to construct the protein-protein interaction (PPI) network. The effective targets were analyzed using Gene Ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis based on the DAVID database.
RESULTS
A total of 549 chemical constituents were collected. According to OB ≥ 30% and DL ≥ 0.18, 45 active constituents were obtained, including quercetin, cortin, scutellarin, kaempferol, naringenin, etc. Venn diagram shows that there are 259 possible protein targets in the active ingredients of Baohe Wan, 34 targets that have effects on diarrhea with gastrointestinal food stagnation syndrome, 66 targets that have effects on intestinal flora, and 11 common targets, among which PTGS2, TNF, TP53, ICM1, and IL10 are key targets. A total of 121 biological processes were obtained through GO function enrichment analysis, and 49 pathways were obtained through KEGG pathway enrichment screening, including the TNF signaling pathway, IL-17 signaling pathway, NF-κB signaling pathway, etc.
CONCLUSION
The preliminary screening and prediction by network pharmacology suggested that Baohe Wan may improve diarrhea with gastrointestinal food stagnation syndrome combined with intestinal flora disorder through multiple ways and targets.
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