2020年版《中国药典》(一部)补肾功效中药成方制剂数据挖掘分析
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(1. 湖南中医药大学第一附属医院,湖南 长沙 410021;2. 湖南中医药大学中医方证转化重点实验室,湖南 长沙 410208;3. 湖南中医药大学中医学院,湖南 长沙 410208)

作者简介:

龙 衍(1995-),男,在读博士研究生,E-mail: 895652712@qq.com

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基金项目: 国家自然科学基金区域联合创新项目(U20A20408);国家自然科学基金面上项目(82074450);“湖南省性与生殖 健康中医临床医学研究中心”项目(湘科计2020SK4014);湖南省高层次卫生人才225工程培养资助项目(湘卫函 2019196号);湖南省研究生创新课题(CX20220802);湖南中医药大学“一方”研究生创新项目(2022YF09)


Data Mining Analysis of Traditional Chinese Medicine Formulations with Kidney-Tonifying Effects in the 2020 Edition of the Chinese Pharmacopoeia (Part I)
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(1. The First Affiliated Hospital of Hunan University of Traditional Chinese Medicine, Changsha 410021, China; 2. College of Integrated Chinese and Western Medicine, Hunan University of Traditional Chinese Medicine, Changsha 410208, China; 3. College of Traditional Chinese Medicine, Hunan University of Traditional Chinese Medicine, Changsha 410208, China)

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    摘要:

    目的 对具有“补肾”功效的中药成方制剂进行数据挖掘分析,为进一步规范其中药成方制剂提供参考,揭示其用药规律并发现潜在新方。方法 以2020年版《中国药典》(一部)为数据来源,筛选具有补肾功效的相关中药成方制剂,收集处方、剂型、性味归经、功能主治、用法用量、注意事项等信息,运用Microsoft Excel 2019建立数据库进行频次分析;运用SPSS modeler 18对使用频次≥20次的药物进行关联规则分析和复杂网络分析;运用SPSS Statistics 26.0统计软件对使用频次≥20次的中药进行系统聚类分析和因子分析。结果 收录中药成方制剂192个,涉及308味中药。发现存在相关禁忌不明、疗程未明确等不足。剂型以丸剂最多,主要治疗生殖泌尿系统和性激素相关疾病,肝肾不足是最常见的证型,补肾气是最常用的治法;熟地黄、茯苓、当归是出现频次最高的3种药物,性味以甘、温多见,肝经频次最高,补虚药运用最广;熟地黄-山茱萸、熟地黄-山药+茯苓是置信度或支持度最高的药物组合,提取了9个公因子,发现了5个聚类新方,构建了核心药物网络。结论 研究发现了其制剂基本规范中的不足,发掘了常用药对、核心药物组合及聚类新方,为进一步规范其中药成方制剂说明提供参考,并为中医临床治疗用药、新药研发提供文献依据。

    Abstract:

    Objective To conduct data mining analysis on the traditional Chinese medicine preparations with the effect of "tonifying the kidney", to provide a reference for the further standardization of traditional Chinese medicine preparations, to reveal their medication rules and to discover potential new prescriptions. Methods Taking the 2020 edition of "Chinese Pharmacopoeia" (Part I) as the data source, the relevant traditional Chinese medicine preparations with the effect of invigorating the kidney were screened, and the information were collected. such as prescription, dosage form, nature, flavor, meridian, function and indication, usage and dosage, precautions, etc. Microsoft Excel 2019 established a database for frequency analysis; used SPSS modeler 18 to perform association rule analysis and complex network analysis on drugs with a frequency of ≥20 times; used SPSS Statistics 26.0 statistical software to perform systematic cluster analysis and analysis of traditional Chinese medicine with a frequency of ≥20 times for. factor analysis. Results A total of 192 traditional Chinese medicine preparations were included, involving 308 traditional Chinese medicines. It was found that there are some deficiencies such as unclear contraindications and unclear courses of treatment. The most common dosage forms are pills, which mainly treat diseases related to the genitourinary system and sex hormones. Insufficiency of liver and kidney is the most common syndrome type, and tonifying kidney Qi is the most commonly used treatment. Gan and Wen are more common, the frequency of liver meridian is the highest, and the tonic medicine is the most widely used; Rehmannia glutinosa-dogwood, Rehmannia glutinosa-yam+Poria are the drug combinations with the highest confidence or support. Nine common factors were extracted, and 5 were found. A new clustering method was used to construct a core drug network. Conclusion The study found the deficiencies in the basic specifications of its preparations, and explored the commonly used drug pairs, core drug combinations and clustered new prescriptions, which provided a reference for further standardizing the description of Chinese medicine formulations, and provided information for clinical treatment of traditional Chinese medicine and new drug research and development. Literature basis.

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  • 收稿日期:2023-09-25
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  • 在线发布日期: 2023-12-27
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