一种基于生物化学综合性评估的多指数决策分析方法
Mengyu Qian1, Jingqiu Gu1, Haoran Zhang1
1State Key Laboratory of Technologies for Chinese Medicine Pharmaceutical Process Control and Intelligent Manufacture (Jiangsu Kanion Pharmaceutical Co.,Ltd. & Nanjing University of Chinese Medicine), Nanjing, Jiangsu 211112, China.
Journal of pharmaceutical and biomedical analysis
|July 17, 2025
概括
这项研究开发了一种新的方法,通过识别化合物及其生物活性来评估Saposhnikoviae Radix (SR) 的质量. 创建了一个多维评估系统,以更好地控制传统中医药的质量.
科学领域:
- 药理学和中国传统医学 (TCM) 的分析.
- 代谢学和网络药理学.
背景情况:
- 萨波什尼科维亚雷迪克斯 (SR) 是一种重要的草药,但其质量控制具有挑战性.
- 目前用于评估TCM质量的方法在全面反映药物材料属性的方面存在局限性.
研究的目的:
- 建立和验证Saposhnikoviae Radix (SR) 质量控制的多维评估系统.
- 识别生物活性化合物并评估它们的抗过敏活性.
主要方法:
- 使用Orbitrap进行化合物表征 (59种已识别的化合物).
- 在老鼠中进行了代谢分析,以确定26种转化化合物及其途径.
- 采用网络药理学,Ig-E诱导的RBL细胞抗过敏模型,主要成分分析 (PCA),投影变量重要性 (VIP) 和分析层次过程 (AHP).
主要成果:
- 在SR中描述了59种化合物,并确定了26种具有阐明路径的代谢物.
- 哈马乌多尔在体外模型中显示出显著的抗过敏活性 (195.72%的抑制率).
- 开发了基于组件分析的SR批次的评分系统,并根据整体生物活性进行了验证.
结论:
- 通过使用多属性决策,建立了SR质量控制的新型多维评估系统.
- 该系统为评估高质量的TCM的含量和生物活性提供了坚实的基础.
- 这些发现支持在临床应用中提高Saposhnikoviae Radix的安全性和有效性.
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