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Regularity and mechanism study of Chinese medicine to treat DPN based on data mining and network pharmacology#br# |
XING Qichang CHEN Jia LIU Zheng LI Wei LIU Xiang |
Department of Pharmacy, Xiangtan Central Hospital, Hunan Province, Xiangtan 411100, China |
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Abstract Objective To explore the rule of traditional Chinese medicine for the treatment of diabetic peripheral neuropathy (DPN), to discover the core drug pair and analyze the corresponding targets and pathways with the help of network pharmacology. Methods Literature on the treatment of DPN with traditional Chinese medicine prescriptions from January 2009 to September 2020 was retrieved and collected from China National Knowledge Infrastructure. The traditional Chinese medicine inheritance assistance system software (V3.0) was used to analyze the medication rules, and the core drug pairs were obtained based on association rule analysis. The chemical composition, action target and disease target of the core drug were obtained by traditional Chinese medicine system pharmacology database and analysis platform, DrugBank, TTD, and DisGeNET database. GO and KEGG analysis of the action target of the drug on DPN was performed by DAVID database. Finally, molecular docking technology was used to verify the docking between core chemical components and key targets. Results In terms of data mining, 204 Chinese medicines were used in 437 Chinese medicine prescriptions for DPN. The most commonly used were traditional Chinese medicines such as tonifying deficiency, promoting blood circulation and removing blood stasis, the core drug pairs were obtained based on association rule analysis, among which astragalus milkvetch root-Chinese angelica had the highest support. In the part of network pharmacology, 104 compounds in milkvetch root-Chinese angelica act on 218 targets, and 33 targets related to DPN disease. KEGG enrichment analysis showed that the mechanism of action of the drug on the treatment of DPN mainly involved the interaction of neuroactive ligands and receptors 140 biological processes such as stimulation response, 18 cellular components such as cell membrane, and 25 molecular functions such as protein binding were obtained by GO analysis. The molecular docking verification drug had a good affinity for the core chemical components and the key targets of DPN. Conclusion The treatment of traditional Chinese medicine on DPN is based on replenishing qi and nourishing yin, promoting blood circulation for removing blood stasis, warming yang for dispelling cold. The compatibility of milkvetch root-Chinese angelica can intervene the course of DPN through multi-component, multi-target and multi-action pathways.
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