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Network analysis for anti-rheumatoid arthritis TCM prescriptions

机译:抗类风湿性关节炎TCM处方的网络分析

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A typical characteristic of traditional Chinese medicine (TCM) is that TCM practitioners always prescribe different herbal formulae according to the condition of individual patients, making TCM as a kind of personalized medicine. In this study, we conducted a network analysis to evaluate the prescription rules underlying a set of anti-rheumatoid arthritis (RA) prescriptions collected from a TCM master in China, Mr. Ji-Ren Li. A herb network-compound network-disease network workflow was established for the TCM prescription analysis. Then the core herb network was constructed from 871 anti-RA prescriptions. We further demonstrated that the potential biological activities exerted by the herbs from the core network are significantly associated with the RA genes in terms of GO biological processes. The results give evidence for the effectiveness and reasonableness of herb formulae prescribed by Mr. Li.
机译:中医(TCM)的典型特征是,TCM从业者始终根据个体患者的病症开不同草药公式,使TCM作为一种个性化药物。在这项研究中,我们进行了网络分析,以评估从中国中医大师收集的一组抗类风湿性关节炎(RA)处方的处方规则,Ji-仁李先生。为中医处方分析建立了草本网络复合网络疾病网络工作流程。然后核心草本网络由871个抗RA处方构建。我们进一步证明,在核心网络中施加的潜在的生物活性与GO生物过程中的RA基因显着相关。结果提供了李先生规定的草药公式的有效性和合理性的证据。

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