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基于高效液相色谱分析结合向量空间网络药理学的黑参“九蒸九晒”过程中抗前列腺癌机制

Anti-prostate cancer mechanism of black ginseng during the "nine steaming and nine sun-drying" process based on HPLC analysis combined with vector space network pharmacology.

作者信息

Zhang Youran, Huang Ye, Dou Deqiang

机构信息

Liaoning University of Traditional Chinese Medicine, 77 Life One Road, DD Port, Dalian, 116600, China.

出版信息

Discov Oncol. 2024 Jan 18;15(1):12. doi: 10.1007/s12672-024-00862-z.

Abstract

HPLC analysis determined six small-molecule organic acids, maltol, 5-hydroxymethylfurfural (5-HMF), 17 ginsenosides, four oligosaccharides, and 20 amino acids in black ginseng samples with different processing times. Based on the content determination results, the differential ingredients in the processing of black ginseng were screened by multivariate statistical analysis. Network pharmacological methods obtained the core targets and pathways of the above ingredients against prostate cancer. Finally, the entropy weight method was used to assign values to the above ingredients, targets, and pathways, and the vector space network pharmacology method was established to study the anti-prostate cancer mechanism of black ginseng in the process of "nine steaming and nine sun-drying". Based on principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA), fructose, glucose, dencichin, glutamate, ginsenoside 20 (S)-Rg3, 20 (R)-Rg3, 20 (S)-Rh2, Rg1, Re, and Rc were the main differential ingredients in various steaming and sun-drying cycle periods of black ginseng. The results of vector space network pharmacology showed that the main reason for the change in the anti-prostate cancer pathway of black ginseng with the number of steaming and sun-drying was the different regulatory ability of black ginseng on the PI3K-Akt signaling pathway and chemical carcinogenesis-receptor activation pathway. It gave researchers a fresh perspective for exploring the anti-prostate cancer active components of black ginseng and the change in the mechanism of the effect of traditional Chinese medicine in processing.

摘要

高效液相色谱分析确定了不同炮制时间的黑参样品中的6种小分子有机酸、麦芽酚、5-羟甲基糠醛(5-HMF)、17种人参皂苷、4种低聚糖和20种氨基酸。基于含量测定结果,通过多元统计分析筛选出黑参炮制过程中的差异成分。网络药理学方法获得了上述成分抗前列腺癌的核心靶点和通路。最后,采用熵权法对上述成分、靶点和通路进行赋值,建立向量空间网络药理学方法,研究黑参“九蒸九晒”过程中的抗前列腺癌机制。基于主成分分析(PCA)和正交偏最小二乘判别分析(OPLS-DA),果糖、葡萄糖、三七素、谷氨酸、人参皂苷20(S)-Rg3、20(R)-Rg3、20(S)-Rh2、Rg1、Re和Rc是黑参各蒸晒周期的主要差异成分。向量空间网络药理学结果表明,黑参抗前列腺癌通路随蒸晒次数变化的主要原因是黑参对PI3K-Akt信号通路和化学致癌-受体激活通路的调控能力不同。这为探索黑参抗前列腺癌活性成分及中药炮制效应机制的变化提供了新的视角。

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