Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network
Understanding ZHENG in traditional Chinese medicine in the context of neuro-endocrine-immune network
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DOI：
10.1049/iet-syb:20060032
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发表时间：
2007-01-01
影响因子：
2.3
通讯作者：
Wang, Y. Y.
中科院分区：
文献类型：
--
作者：
Li, S.;Zhang, Z. Q.;Wang, Y. Y.
传统中医将郑作为关键的病理原则来了解人类的体内平衡并指导中药的应用。在这里，使用计算分析和动物实验的组合进行了系统生物学方法来研究这个复杂的问题，即在神经内分泌 - 免疫（NEI）系统的背景下。通过使用文献挖掘的方法，网络分析和拓扑比较，发现激素在冷郑网络中主要是主导，免疫因子在热的Zheng网络中占主导地位，而这两个网络由神经传播者连接。此外，与郑和郑热有关疾病有关的基因主要存在于细胞因子细胞因子受体相互作用途径中，而与与冷相关和热有关的疾病有关的基因与神经活性的配体配体相互作用相互作用途径有关。这些计算发现随后通过对胶原蛋白诱导的关节炎大鼠模型的实验进行了验证，这表明冷郑的寒冷的草药倾向于影响冷Zheng网络中的轮毂淋巴结，而Zheng热的草药则倾向于影响Hot Zheng网络中的Hub Nodes。这些调查表明，郑年历史的概念可能具有NEI作为背景的分子基础。
Traditional Chinese medicine uses ZHENG as the key pathological principle to understand the human homeostasis and guide the applications of Chinese herbs. Here, a systems biology approach with the combination of computational analysis and animal experiment is used to investigate this complex issue, ZHENG, in the context of the neuro-endocrine-immune (NEI) system. By using the methods of literature mining, network analysis and topological comparison, it is found that hormones are predominant in the Cold ZHENG network, immune factors are predominant in the Hot ZHENG network, and these two networks are connected by neuro-transmitters. In addition, genes related to Hot ZHENG-related diseases are mainly present in the cytokine cytokine receptor interaction pathway, whereas genes related to both the Cold-related and Hot-related diseases are linked to the neuroactive ligand-receptor interaction pathway. These computational findings were subsequently verified by experiments on a rat model of collagen-induced arthritis, which indicate that the Cold ZHENG-oriented herbs tend to affect the hub nodes in the Cold ZHENG network, and the Hot ZHENG-oriented herbs tend to affect the hub nodes in the Hot ZHENG network. These investigations demonstrate that the thousand-year-old concept of ZHENG may have a molecular basis with NEI as background.