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Network analysis for anti-rheumatoid arthritis TCM prescriptions

机译:抗类风湿关节炎中医处方药的网络分析

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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)的典型特征是中医从业者总是根据患者的病情开出不同的草药配方,使中医成为一种个性化的医学。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李继仁先生那里收集的一组抗类风湿关节炎(RA)处方的处方规则。建立了草药网络-复合网络-疾病网络的工作流程进行中药处方分析。然后从871个抗RA处方中构建了核心药草网络。我们进一步证明了草药从核心网络发挥的潜在生物活性与GO基因的生物学过程密切相关。结果证明了李先生规定的草药配方的有效性和合理性。

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