1.北京中医药大学,北京市朝阳区北三环东路11号,100029
2.中国中医科学院西苑医院
yunlingzhang2004@126.com
收稿:2022-08-26,
修回:2023-07-03,
纸质出版:2023-10-02
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刘红喜,石静资,梁晓等.国家中药复方专利治疗抑郁症用药规律研究[J].中医杂志,2023,64(19):2027-2032.
LIU Hongxi,SHI Jingzi,LIANG Xiao,et al.Study on the Medication Rule of the National Patent of Traditional Chinese Medicine Compound Formula in the Treatment of Depression[J].Journal of Traditional Chinese Medicine,2023,64(19):2027-2032.
刘红喜,石静资,梁晓等.国家中药复方专利治疗抑郁症用药规律研究[J].中医杂志,2023,64(19):2027-2032. DOI: 10.13288/j.11-2166/r.2023.19.014.
LIU Hongxi,SHI Jingzi,LIANG Xiao,et al.Study on the Medication Rule of the National Patent of Traditional Chinese Medicine Compound Formula in the Treatment of Depression[J].Journal of Traditional Chinese Medicine,2023,64(19):2027-2032. DOI: 10.13288/j.11-2166/r.2023.19.014.
目的
2
基于数据挖掘技术对国家专利数据库中治疗抑郁症的中药复方配伍规律进行研究,为抑郁症的临床治疗及新药研发提供思路。
方法
2
检索国家知识产权局中国专利公布公告网站建库至2022年7月1日治疗抑郁症的中药复方专利数据,运用古今医案云平台(V2.3.5)中数据挖掘板块对纳入的中药复方进行药物应用频次分析,在其基础上对药物性味归经、功效进行分析,通过关联分析筛选出具有代表性的高频药物组合,通过聚类分析分析中药复方辨治抑郁症的用药分类,通过复杂网络分析筛选中药复方治疗抑郁症的核心组方。
结果
2
共纳入符合标准的中药复方325首,涉及452味中药,药物总频次3532次。药物使用频次居前十位分别是郁金(122次)、柴胡(122次)、白芍(109次)、酸枣仁(95次)、茯苓(94次)、当归(94次)、远志(84次)、白术(72次)、石菖蒲(71次)、丹参(61次)。药物性味归经上,药性以温性(998次)、平性(944次)、微寒(596次)、寒性(497次)为主,药味以甘味(1648次)、辛味(1392次)、苦味(1337次)为主,归经以肝经(1695次)、心经(1521次)、脾经(1326次)、肺经(1268次)为主。药物功效以疏肝解郁、润肠通便、宁心安神、行气解郁等使用频次较高。药物关联分析中高频药物组合有“柴胡→白芍”“当归→柴胡”“白芍→郁金”等。药物聚类分析可将使用频次≥40次的22味高频中药聚类成6类。复杂网络分析筛选出治疗抑郁症的核心组方为柴胡、郁金、白芍、当归、茯苓、酸枣仁、香附。
结论
2
中药复方治疗抑郁症多从“郁、瘀、虚”病机着手,注重从肝、心、脾、肺论治,常用疏肝解郁、健脾养心、理气活血、润肠通便之品,可为抑郁症的临床治疗与新药研发提供一定参考。
Objective
2
To explore the medication rules of traditional Chinese medicine compounds for depression in the National Patent Database using data mining, and to provide ideas for the clinical treatment and the development of new drugs for depression.
Methods
2
The patent data of traditional Chinese medicine compounds for the treatment of depression were searched from inception to July 1st, 2022 on the Patent Publication Announcement website of China National Intellectual Property Administration. The selected traditional Chinese medicine compounds were analyzed by using the data mining section of
the ancient and modern medical record cloud platform
(V2.3.5) for drug frequency, and based on this, the nature, flavor, channel entry and function of the medicinals were analyzed. Representative high-frequency herbal combinations were obtained through correlation analysis, while the classification of Chinese medicine compounds for depression was analyzed by cluster analysis, and the core combinations of herbs for the treatment of depression were screened out using complex network analysis.
Results
2
A total of 325 Chinese medicine compounds were included, involving 452 herbs, with a total frequency of 3532 times. The top 10 mostly used herbs were Yujin (
Radix Curcumae
, 122 times), Chaihu (
Radix Bupleuri
, 122 times), Baishao (
Radix Paeoniae Alba
, 109 times), Suanzaoren (
Spina Date Seed
, 95 times), Fuling (
Poria
, 94 times), Danggui (
Radix Angelicae Sinensis
, 94 times), Yuanzhi (
Radix Polygalae
, 84 times), Baizhu (
Rhizoma Atractylodis Macrocephalae
, 72 times), Shichangpu (
Rhizoma Acori Graminei
, 71 times), and Danshen (
Salvia Miltiorrhiza
, 61 times). The natures of the herbs were mainly warm (998 times), neutral (944 times), slightly cold (596 times) and cold (497 times); the flavors were mainly sweet (1648 times), acrid (1392 times), and bitter (1337 times); the channels of entry were mainly liver (1695 times), heart (1521 times), spleen (1326 times) and lung (1268 times). The medicinals with the function of soothing liver to relieve constraint, moistening the intestines to promote defecation, calming the heart and the mind, moving qi to relieve constraint were used more frequently. The high frequency herbal combinations by association analysis included “Chaihu (
Radix Bupleuri
)→ Baishao (
Radix Paeoniae Alba
)”, “Danggui (
Radix Angelicae Sinensis
)→Chaihu (
Radix Bupleuri
)” and “Baishao (
Radix Paeoniae Alba
)→ Yujin (
Radix Curcumae
)”. The 22 high frequency medicinals used more than 40 times could be clustered into six categories. Complex network analysis found the core herbal combination for the treatment of depression was the formula of Chaihu (
Radix Bupleuri
), Yujin (
Radix Curcumae
), Baishao (
Radix Paeoniae Alba
), Danggui (
Radix Angelicae Sinensis
), Fuling (
Poria
), Suanzaoren (
Spina Date Seed
), and Xiangfu (
Cyperi Rhizoma
).
Conclusion
2
Traditional Chinese medicine compounds for the treatment of depression is mainly based on the pathogenesis of constraint, stasis and deficiency, focusing on the liver, heart, spleen and lung, commonly using medicinals with the function of soothing liver to relieve constraint, fortifying spleen and nourishing heart, regulating
qi
and invigorating blood, and moistening the intestines to promote defecation, which can provide a reference for the clinical treatment and new drug research and development for depression.
中华医学会 , 中华医学会杂志社 , 中华医学会全科医学分会 , 等 . 抑郁症基层诊疗指南(实践版·2021) [J]. 中华全科医师杂志 , 2021 , 20 ( 12 ) : 1261 - 1268 .
HUANG Y , WANG Y , WANG H , et al . Prevalence of mental disorders in China: a cross-sectional epidemiological study [J]. Lancet Psychiatry , 2019 , 6 ( 3 ): 211 - 224 .
中国中西医结合学会神经科专业委员会 . 抑郁症中西医结合诊疗专家共识 [J]. 中国中西医结合杂志 , 2020 , 40 ( 2 ): 141 - 148 .
李阳 , 郭蓉娟 , 赵钟辉 , 等 . 醒脾解郁方对轻中度抑郁症肝郁脾虚证患者的临床疗效研究 [J]. 北京中医药大学学报 , 2021 , 44 ( 1 ): 83 - 91 .
卓丹 , 贺海霞 , 李姿蓉 , 等 . 复方柴金解郁片治疗肝郁脾虚型抑郁症的临床观察 [J]. 中医药导报 , 2020 , 26 ( 16 ): 72 - 77 .
谷春华 , 任君霞 , 杨立波 , 等 . 解郁除烦胶囊治疗抑郁症334例多中心随机双盲对照试验 [J]. 中医杂志 , 2016 , 57 ( 15 ): 1297 - 1302 .
刘志亮 , 陈分乔 , 许文忠 , 等 . 鹿角龟芍汤辅助治疗阴阳两虚型围绝经期抑郁症回顾性队列研究 [J]. 中医杂志 , 2019 , 60 ( 19 ): 1668 - 1672 .
高学敏 . 中药学 [M]. 北京 : 中国中医药出版社 , 2002 .
国家药典委员会 . 中华人民共和国药典(2020年版) [M]. 北京 : 中国医药科技出版社 , 2020 .
纪文璐 , 王海龙 , 苏贵斌 , 等 . 基于关联规则算法的推荐方法研究综述 [J]. 计算机工程与应用 , 2020 , 56 ( 22 ): 33 - 41 .
周炀 , 牟新 . 中医证候研究统计方法学 [J]. 中华中医药学刊 , 2017 , 35 ( 4 ): 791 - 794 .
刘槟 , 张培彤 . 建立中医证候量化诊断标准关键步骤的方法学评述 [J]. 中医杂志 , 2020 , 61 ( 24 ): 2204 - 2208 .
安沈昊 , 于荣欢 . 复杂网络理论研究综述 [J]. 计算机系统应用 , 2020 , 29 ( 9 ): 26 - 31 .
李辉 , 陈福才 , 张建朋 , 等 . 复杂网络中的社团发现算法综述 [J]. 计算机应用研究 , 2021 , 38 ( 6 ): 1611 - 1618 .
李灵 , 陈健 , 郭炜 , 等 . 基于网络药理学中药郁金治疗抑郁症作用机制研究 [J]. 辽宁中医药大学学报 , 2020 , 22 ( 2 ): 121 - 125 .
吴丹 , 高耀 , 向欢 , 等 . 基于网络药理学的柴胡抗抑郁作用机制研究 [J]. 药学学报 , 2018 , 53 ( 2 ): 210 - 219 .
张景霞 , 赵重博 , 李凡 , 等 . 基于网络药理学和分子对接技术的白芍治疗抑郁症作用机制探讨 [J]. 中国现代中药 , 2021 , 23 ( 9 ): 1582 - 1589 .
孙丹晨 , 王志慧 , 乔卫 . 基于网络药理学酸枣仁生物碱抗抑郁作用机制的研究 [J]. 天津医科大学学报 , 2021 , 27 ( 5 ): 439 - 445 .
陈可琢 , 陈实 , 任洁贻 , 等 . 茯苓酸性多糖抗抑郁作用及其调节神经递质和NLRP3通路机制研究 [J]. 中国中药杂志 , 2021 , 46 ( 19 ): 5088 - 5095 .
丁超 , 许寅 , 葛韵芝 . 当归多糖对慢性应激抑郁小鼠的行为影响及其机制研究 [J]. 西部中医药 , 2021 , 34 ( 6 ): 21 - 27 .
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