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焦虑症引起免疫系统异常机制及中医药研究探讨 被引量:21

Discussion on mechanism of immunological changes caused by anxiety disorder and the research of traditional Chinese medicine
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摘要 文章通过回顾焦虑症与免疫系统异常的研究现状,探讨了焦虑症和免疫异常互致的机制。同时针对目前中医药欠缺对焦虑症研究的现状,结合本团队研究成果,提出以下几点建议:从应激医学入手研究焦虑症,探寻贴近焦虑症的动物模型;重视中医"肝"系统和肝郁证候及其相关衍化证候在焦虑症中的研究;发挥中医辨证论治的特长,注重病证结合中医动物模型的运用;甄选相应的方剂佐证模型和治疗模型;重视研究靶点在免疫系统的中药在焦虑症治疗中作用机制研究。通过以上几点建议,以期为中医药研究焦虑症提供新的思路。 By reviewing the research on immunological changes caused by anxiety disorder, to explore the mechanism that there was an interaction effect between anxiety disorder and immunological changes. Furthermore, combined with an achievement of our own research, some suggestions were given for the development of traditional Chinese medicine(TCM) in anxiety disorder that lack of modern research. Firstly, to establish successfully an animal model of anxiety disorder, it should attach importance to learn much from stress medicine. Secondly, during the research, it should pay much attention to the TCM "liver" and the syndrome of stagnation of the liver qi or other syndromes caused by the syndrome of stagnation of the liver qi, which related closely to the emotional diseases. Thirdly, application of treatment based on syndrome differentiation, a characteristic of TCM, should be adopt in the animal model with combination of disease and syndrome. Fourthly, suitable prescription should be selected, as a strong evidence for an animal model as well as a treatment method for the model. The final point was that some Chinese drugs which had a good effect on immune system as well as anxiety disorder should be particularly considered. In the end, some effective ways and some new thoughts were hoping to be provided for the TCM research of anxiety disorder.
出处 《中华中医药杂志》 CAS CSCD 北大核心 2016年第12期5171-5174,共4页 China Journal of Traditional Chinese Medicine and Pharmacy
基金 国家自然科学基金项目(No.81072756 No.81473597) 国家自然科学青年基金项目(No.81302888)~~
关键词 焦虑症 细胞因子 应激 肝郁证 神经-内分泌-免疫网络 Anxiety disorder Cytokines Stress Syndrome of stagnation of the liver qi Nerve-endocrine-immune network
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