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抑郁症病证结合动物模型研究进展

Research progress on animal models of depression integrating disease and pattern
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摘要 抑郁症是临床常见情绪障碍疾病,是当今社会重要的公共卫生问题。中医药在治疗抑郁症方面有丰富的临床经验,并且有明确的临床疗效,但其作用机制尚未完全明确。科学可靠的病证结合动物模型是探索中医药防治抑郁症相关机制的关键。通过查询相关中文数据库,归纳总结6种抑郁症病证结合动物模型,包括肝气郁结证、肝郁脾虚证、肾阴虚证、肾阳虚证、阴虚内热证、气虚证。对6种病证结合的具体造模方法和模型评价进行简单的阐述,同时提出并分析目前研究的不足之处,以期为研究人员提供参考。 Depression is a common clinical emotional disorder and an important public health problem in today's society.Chinese medicine has rich clinical experience and definite therapeutic efficacy in treating depression,but its mechanism of action is not yet fully clear.Scientific and reliable animal models that integrate disease and pattern is crucial for exploring the mechanisms related to preventing and treating depression with Chinese medicine.By querying relevant Chinese database,this study has summarized six kinds of animal models of depression integrating disease and pattern,including models for liver qi stagnation pattern,liver stagnation with spleen deficiency pattern,kidney yin deficiency pattern,kidney yang deficiency pattern,yin deficiency-induced internal heat pattern,and qi deficiency pattern.The specific modeling methods and evaluations of these six integrated disease and pattern models have been briefly elucidated.Additionally,the shortcomings of the current research have been proposed and analyzed in order to provide reference for researchers.
作者 马玉龙 贾冉 张苗苗 秦润笋 陈海燕 金杰 MA Yulong;JIA Ran;ZHANG Miaomiao;QIN Runsun;CHEN Haiyan;JIN Jie(The Third Department of Encephalopathy,the First Hospital of Henan University of Chinese Medicine,Zhengzhou,Henan 450000,China;The First Clinical Medical College of Henan University of Chinese Medicine,Zhengzhou,Henan 450046,China)
出处 《湖南中医药大学学报》 CAS 2024年第9期1720-1726,共7页 Journal of Hunan University of Chinese Medicine
基金 国家中医药管理局科技项目(GZY-KJS-2022-043-2) 河南省科技攻关项目(222102310698) 河南省自然科学基金项目(232300421185) 河南省中医药科学研究专项课题项目(2022JDZX029)。
关键词 抑郁症 病证结合 动物模型 中医证候 模型评价 研究进展 depression integrating disease and pattern animal model TCM pattern model evaluation research progress
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