Using network pharmacology to investigate the molecular mechanism of action of Angelica sinensis and Salvia miltiorrhiza in modulating iron death against diabetic peripheral neuropathy. The TCMSP database was used to obtain the active ingredients of Angelica sinensis and Salvia miltiorrhiza; the SwissTargetPrediction database was used to obtain the targets of each active ingredient. The GeneCards, DrugBank, and OMIM databases were used to obtain the targets of diabetic peripheral neuropathy. Venn online tool was used to obtain the common targets of Angelica and Dan involved in diabetic peripheral neuropathy. Gene Ontology (GO) enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed using R language. The FerrDb database was used to obtain iron death-related gene targets, and the relationship between Angelica, Salvia, diabetic peripheral neuropathy, and iron death was obtained. Sixty-seven active ingredients of Angelica sinensis and Salvia miltiorrhiza were obtained, and 10 gene targets of Angelica sinensis and Salvia miltiorrhiza were predicted to regulate iron death against diabetic peripheral neuropathy. The anti-diabetic peripheral neuropathy effect was achieved by regulating the iron death process through signaling pathways such as the HIF-1 signaling pathway, micro RNA, and IL-17 signaling, to investigate the multi-component, multi-target, and multi-pathway features of Angelica sinensis and Salvia miltiorrhiza in regulating iron death against diabetic peripheral neuropathy using network pharmacology, and to investigate the possible gene targets and signaling pathways of Angelica sinensis and Salvia miltiorrhiza in regulating iron death against diabetic peripheral neuropathy.

Zhang Xiao, Yang Jingfeng, Cheng Du, Guo Yijia. Network pharmacology of Angelica and Salvia in combination to modulate iron death against diabetic peripheral neuropathy. International Journal of Frontiers in Medicine (2023), Vol. 5, Issue 9: 101-110. https://doi.org/10.25236/IJFM.2023.050917.

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