应用化学 ›› 2025, Vol. 42 ›› Issue (9): 1289-1296.DOI: 10.19894/j.issn.1000-0518.250078

• 人参专栏 • 上一篇    下一篇

基于潜在狄利克雷分配模型的人参皂苷药理作用主题挖掘

夏昉1, 李凤君1, 李成国2, 任杰1, 刘琳琳1, 银书敏1, 董优1()   

  1. 1.长春中医药大学管理学院,长春 130117
    2.长春市泓宇科技有限公司,长春 130507
  • 收稿日期:2025-02-26 接受日期:2025-05-20 出版日期:2025-09-01 发布日期:2025-09-28
  • 通讯作者: 董优
  • 基金资助:
    国家中医药管理局中医药科学技术研究专项和长春市科协决策咨询研究课题(No.CCKX-2025-01B)

Topic Mining Study on Pharmacological Actions of Ginsenosides Based on Latent Dirichlet Allocation Modeling

Fang XIA1, Feng-Jun LI1, Cheng-Guo LI2, Jie REN1, Lin-Lin LIU1, Shu-Min YIN1, You DONG1()   

  1. 1.School of Management,Changchun University of Traditional Chinese Medicine,Changchun 130117,China
    2.Changchun Hongyu Technology Co. ,Ltd. ,Changchun 130507,China
  • Received:2025-02-26 Accepted:2025-05-20 Published:2025-09-01 Online:2025-09-28
  • Contact: You DONG
  • About author:1291433564@qq.com
  • Supported by:
    Special Research on Traditional Chinese Medicine Science and Technology of the State Administration of Traditional Chinese Medicine and the Research Project on the Precision Consultation of Changchun Association for Science and Technology(CCKX-2025-01B)

摘要:

通过狄利克雷分配(LDA)模型对人参皂苷药理作用的相关文献进行文本分析,阐明其研究热点和发展趋势。 运用LDA主题模型对2020-2024年间在中国知网中选取关于人参皂苷药理作用的219篇文献进行主题挖掘,分析研究主题及其演化轨迹。 利用困惑度评价指标并结合pyLDAvis可视化聚类结果,识别出糖基化与神经元(Topic0)、凋亡与自噬调控(Topic1)、抗纤维化与抗肿瘤(Topic2)、抗炎与抗氧化(Topic3)和肠道炎症与肝脏损伤(Topic4)5个核心主题。 为进一步开展人参皂苷药理作用的研究提供了科学参考和研究方向,促进其在生物医药领域的应用。

关键词: LDA主题模型, 人参皂苷, 药理作用, 研究热点, 发展趋势

Abstract:

The latent dirichlet allocation (LDA) model was used to analyze the literature on the pharmacological effects of ginsenosides, and the research hotspots and development trends were clarified. A total of 219 papers on the pharmacological effects of ginsenosides were selected from CNKI from 2020 to 2024 using the LDA topic model, and the research topics and their evolution trajectories were analyzed. Five core themes were identified: glycosylation and neurons (Topic 0), apoptosis and autophagy regulation (Topic 1), anti-fibrosis and anti-tumor (Topic 2), anti-inflammatory and antioxidant (Topic 3), and intestinal inflammation and liver injury (Topic 4) were identified by using the confusion evaluation index and the visual clustering results of pyLDAvis. This paper provides a scientific reference and research direction for further research on the pharmacological effects of ginsenosides, and promotes its application in the field of biomedicine.

Key words: LDA topic model, Ginsenosides, Pharmacological effects, Research hotspots, Development trends

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