Exploring the prescription in rules and mechanism for cerebral infarction based on data mining and Network Pharmacology

摘要

Objective: This study intends to explore the prescription rules for cerebral infarction treatment based on the famous prescription book Qian Jin Yao Fang, and further mined the core prescription and predicted the main active components and targets. Methods: The prescriptions for cerebral infarction in "Qian Jin Yao Fang" were collected. The data were analyzed using the auxiliary platform of traditional Chinese medicine V2.5, to explore the core herbs and summarized new prescriptions. At last, we analyzed the mechanism of core prescriptions of for cerebral infarction treatment using network pharmacology methods. Results: 100 prescriptions and 152 kinds of herbs were obtained by data mining. The results showed that deficiency-tonifying drugs account for a large proportion of drug classification;The core prescriptions for cerebral infarction in "Qian Jin Yao Fang" were composed of Herba Ephedrae(Mahaung), Cinnamomum cassia Presl(Rougui), Panax ginseng C.A.Meyer (Renshen), Glycyrrhiza uralensis Fisch(Gancao), Saposhnikovia divaricate(Trucz) Schischk(Fangfeng), Aconitum carmichaeli Debx(Fuzi) and Ligusticum chuanxiong Hort(Chuanxiong). Using network-based systems biology analysis, we predicted that 194 potential targets in the core prescriptions for cerebral infarction. 45 key targets of the core prescriptions were obtained in the treatment of cerebral infarction, suggesting that the related mechanism maybe closely related to TP53, STAT3, AKT1, MYC, FOS. Through Gene Oncology and Kyoto Encyclopedia of Genes and Genomes analysis, we found that the related signaling pathways mainly involved in PI3K-Akt signal pathway, TNF signal pathway, AGE-RAGE signal pathway, and so on. Conclusion: It takes expelling wind and relieving surface and warming spleen and kidney as the treatment method of cerebral infarction in "Qian Jin YaoFang". The core prescriptions were used for cerebral infarction treatment for the multi-component, multi-target and multi-channel interaction, such as PI3K-Akt signal pathway, TNF signal pathway, AGE-RAGE signal pathway and so on.