Gao Li, Cao Min, Li Jia-Qi, Qin Xue-Mei, Fang Jiansong
Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan 030006, China.
Science and Technology Innovation Center, Guangzhou University of Chinese Medicine, Guangzhou 510405, China.
Curr Pharm Des. 2021;27(26):2925-2933. doi: 10.2174/1381612826666201112142408.
Cardiovascular disease is a major disease affecting human health, and its pathogenesis is caused by many factors. Through the use of "omics" technology, precision medicine is playing an increasingly important role in the prevention and treatment of cardiovascular diseases. Dialectical treatment with traditional Chinese medicine (TCM will result in personalized treatment, which is consistent with precision medicine to a certain extent. However, due to the multitarget, multipath, and multistep characteristics of TCM, its mechanism of action is not easy to elucidate. Network pharmacology can be used to predict the mechanism, toxicity and metabolic characteristics of TCM. This review summarizes commonly used bioinformatics resources for cardiovascular diseases and TCM, as well as the opportunities and challenges of TCM in cardiovascular precision medicine, with special emphasis on network pharmacology methods.
心血管疾病是影响人类健康的主要疾病,其发病机制由多种因素引起。通过使用“组学”技术,精准医学在心血管疾病的防治中发挥着越来越重要的作用。中医辨证论治会带来个性化治疗,这在一定程度上与精准医学相一致。然而,由于中医具有多靶点、多途径和多步骤的特点,其作用机制不易阐明。网络药理学可用于预测中药的作用机制、毒性和代谢特征。本文综述了心血管疾病和中药常用的生物信息学资源,以及中药在心血管精准医学中的机遇与挑战,特别强调了网络药理学方法。
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