Network-based pharmacological study of the mechanism of kaiyuzhongyutang in the treatment of tubal fimbria obstruction

Medicine (Baltimore). 2022 Oct 21;101(42):e31146. doi: 10.1097/MD.0000000000031146.

Abstract

To apply a network pharmacological approach to explore the targets and possible mechanisms of Kai Yu Zhong Yu Tang (KYZYT) in the treatment of tubal fimbria obstruction. The target information of KYZYT was extracted from TCMSP and HERB database. Genes related to tubal fimbria obstruction were searched using the GENECARD database. Target protein network maps (PPI) were drawn using string database analysis and Cytoscape 3.7.1 software. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis and gene function analysis (GO) enrichment analysis were performed with the help of Perl language and biological program package in R language. To explore the multiple pharmacological mechanisms of action of KYZYT in the interventional treatment of tubal fimbria obstruction and to lay the foundation for further experimental validation. Through the collection and analysis of multiple databases, 355 biological targets of KYZYT were identified. 168 targets of tubal fimbria obstruction were obtained from disease database. The "drug-component" and "drug-target" networks of KYZYT were constructed, and the protein interaction network (PPI) of overlapping targets was analyzed to identify the key targets of the drug affecting the disease. In addition, KEGG pathway analysis and GO enrichment analysis were performed on the overlapping targets to explore the mechanism of KYZYT in the treatment of tubal fimbria obstruction. KYZYT has the characteristics of multi-component, multi-target and multi-pathway in the treatment of tubal fimbria obstruction, which provides new ideas and scientific basis for further clarification of the molecular mechanism.

MeSH terms

  • Drugs, Chinese Herbal* / pharmacology
  • Drugs, Chinese Herbal* / therapeutic use
  • Humans
  • Medicine, Chinese Traditional*
  • Protein Interaction Maps
  • Software

Substances

  • Drugs, Chinese Herbal