| 基于化学模式识别和网络药理学的河南生地黄潜在质量标志物预测 |
| 投稿时间：2024-03-29 点此下载全文
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| 引用本文：张迪文,李更生,马开,刘明,王慧森,刘一菲,杨丹.基于化学模式识别和网络药理学的河南生地黄潜在质量标志物预测[J].中国现代中药,2024,26(11):1900-1908 |
| DOI：10.13313/j.issn.1673-4890.20240329005 |
| 摘要点击次数: 119 |
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| 作者中文名 | 作者英文名 | 单位中文名 | 单位英文名 | E-Mail |
| 张迪文 |
ZHANG Di-wen |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 李更生 |
LI Geng-sheng |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 马开* |
MA Kai |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 刘明 |
LIU Ming |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 王慧森 |
WANG Hui-sen |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 刘一菲 |
LIU Yi-fei |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 杨丹 |
YANG Dan |
河南省中西医结合医院（河南省中医药研究院） 中药研究所，河南 郑州 450004 |
Institute of Chinese Materia Medica, Henan Integrative Medicine Hospital (Henan Academy of Chinese Medicine), Zhengzhou450004, China |
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| 基金项目:河南省中医药科学研究专项（2023ZY2141，20-21ZYZD13）；河南省中医药研究院基本科研业务费课题（2204968，2304030） |
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| 中文摘要:目的 基于高效液相色谱法（HPLC）指纹图谱、化学模式识别、质量标志物（Q-marker）“五原则”和网络药理学方法，分析预测河南产生地黄潜在Q-marker。方法 采用HPLC建立16批河南产生地黄的指纹图谱；运用正交偏最小二乘法-判别分析（OPLS-DA）筛选组间主要差异成分，运用网络药理学方法构建差异成分的活性成分-靶点-通路网络，并进行定量分析。结果 建立了16批河南产生地黄的指纹图谱，标定了20个共有峰，指认了7个成分；OPLS-DA筛选得到10个差异成分，指认了其中5个成分。结合中药Q-marker“五原则”和网络药理学分析，筛选出梓醇、桃叶珊瑚苷、地黄苷D、益母草苷、京尼平苷酸、毛蕊花糖苷、异类叶升麻苷为河南产生地黄的潜在Q-marker。结论 建立的HPLC指纹图谱方法准确稳定，筛选得到的7个差异成分可作为河南产生地黄的潜在Q-marker，为河南产生地黄质量评价和药效机制研究提供参考。 |
| 中文关键词:生地黄 质量标志物 指纹图谱 正交偏最小二乘法-判别分析 网络药理学 |
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| Prediction of Potential Quality Markers of Rehmanniae Radix in Henan Province Based on Chemical Pattern Recognition and Network Pharmacology |
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| Abstract:Objective To analyze and predict potential quality markers (Q-markers) for Rehmanniae Radix in Henan province based on HPLC fingerprint, chemical pattern recognition, the Five Principles of Q-markers, and network pharmacology.Methods Fingerprints of 16 batches of Rehmanniae Radix in Henan province were established by HPLC method. Orthogonal partial least squares discriminant analysis (OPLS-DA) was used to screen the main differential components of common peaks between groups. An active ingredient-target-pathway network was constructed for differential components using network pharmacology, followed by quantitative analysis.Results The fingerprints of 16 batches of Rehmanniae Radix in Henan province were established, 20 common peaks were calibrated, and 7 components were identified. OPLS-DA analysis identified 10 differential biomarkers and 5 differential components. Potential Q-markers for Rehmanniae Radix in Henan province were identified, including catalpol, aucubin, rehmannioside D, ajugol, geniposidic acid, acteoside, and isoacteoside, by the Five Principles of Chinese medicine Q-markers and network pharmacology analysis.Conclusion The established HPLC fingerprint method is accurate and stable, and the selected seven differential components can serve as potential Q-markers for Rehmanniae Radix in Henan province, providing a reference for the quality evaluation and pharmacological mechanism research of Rehmanniae Radix in Henan province. |
| keywords:Rehmanniae Radix quality markers fingerprint orthogonal partial least squares-discriminant analysis network pharmacology |
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