Network pharmacology exploration reveals a common mechanism in the treatment of cardio-cerebrovascular disease with Salvia miltiorrhiza Burge. and Carthamus tinctorius L.

Background: This study aimed to identify the key genes and KEGG pathways in Carthamus tinctorius L. (Safflower) and Salvia miltiorrhiza Burge. (Salvia) for the treatment of cardio-cerebrovascular disease, and to explore their potential molecular mechanisms.

Methods: Compounds and targets in Safflower and Salvia were retrieved from Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). We obtained targets of myocardial infarction (MI) and cerebral infarction (CI) data from Therapeutic Target Database (TTD), Drugbank and DisGeNET datasets. The network of Safflower, Salvia, CI and MI was established and then executing, and Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analyses of the functional characteristics were performed. The Chinese herbal prescription and target for CI and MI were obtained by searching in the database. Finally, the main pathways of Salvia and Safflower in Chinese patent medicines were analyzed. The MCAO model was established in rats, and compatibility of salvia with safflower was experimentally verified.

Results: We obtained a total of 247 genes targeted by 52 compounds from Safflower and 119 genes targeted by 48 compounds from Salvia. In total, we identified 299 known therapeutic targets for the treatment of CI and 960 targets for the treatment MI. There are 23 common targets for Salvia, Safflower, MI, and CI. A total of 85 KEGG pathways were also enriched and intersected with the pathway of proprietary Chinese medicine to yield 25 main pathways. Safflower and Salvia have the best therapeutic effect in MCAO.

Conclusion: We identified gene lists for Safflower and Salvia in CI and MI. Bioinformatics and interaction analyses may provide new insight into the treatment of cardio-cerebrovascular diseases with Safflower and Salvia.