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基于 Q 标志物的中药 CMC 研究策略:以三七总皂苷为例。

Q-marker based strategy for CMC research of Chinese medicine: A case study of Panax Notoginseng saponins.

机构信息

Department of Chinese Medicine Science & Engineering, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, PR China.

Department of Chinese Medicine Science & Engineering, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, PR China.

出版信息

Phytomedicine. 2018 May 15;44:129-137. doi: 10.1016/j.phymed.2018.01.023. Epub 2018 Jan 31.

Abstract

BACKGROUND

To ensure pharmaceutical quality, chemistry, manufacturing and control (CMC) research is essential. However, due to the inherent complexity of Chinese medicine (CM), CMC study of CM remains a great challenge for academia, industry, and regulatory agencies. Recently, quality-marker (Q-marker) was proposed to establish quality standards or quality analysis approaches of Chinese medicine, which sheds a light on Chinese medicine's CMC study.

PURPOSE

Here manufacture processes of Panax Notoginseng Saponins (PNS) is taken as a case study and the present work is to establish a Q-marker based research strategy for CMC of Chinese medicine.

STUDY DESIGN

The Q-markers of Panax Notoginseng Saponins (PNS) is selected and established by integrating chemical profile with pharmacological activities. Then, the key processes of PNS manufacturing are identified by material flow analysis. Furthermore, modeling algorithms are employed to explore the relationship between Q-markers and critical process parameters (CPPs) of the key processes. At last, CPPs of the key processes are optimized in order to improving the process efficiency.

RESULTS

Among the 97 identified compounds, Notoginsenoside R, ginsenoside Rg, Re, Rb and Rd are selected as the Q-markers of PNS. Our analysis on PNS manufacturing show the extraction process and column chromatography process are the key processes. With the CPPs of each process as the inputs and Q-markers' contents as the outputs, two process prediction models are built separately for the extraction process and column chromatography process of Panax notoginseng, which both possess good prediction ability. Based on the efficiency models of extraction process and column chromatography process we constructed, the optimal CPPs of both processes are calculated.

CONCLUSION

Our results show that the Q-markers derived from CMC research strategy can be applied to analyze the manufacturing processes of Chinese medicine to assure product's quality and promote key processes' efficiency simultaneously.

摘要

背景

为了确保药品质量,化学、制造和控制(CMC)研究至关重要。然而,由于中药(CM)的固有复杂性,CM 的 CMC 研究仍然是学术界、工业界和监管机构面临的巨大挑战。最近,质量标志物(Q-marker)被提出用于建立中药的质量标准或质量分析方法,这为中药的 CMC 研究提供了思路。

目的

以三七总皂苷(PNS)的生产工艺为例,建立基于 Q-marker 的中药 CMC 研究策略。

设计

通过整合化学特征与药理活性,选择并建立三七总皂苷的 Q-marker。然后,通过物料流分析确定 PNS 生产的关键工艺。进一步采用建模算法,探索 Q-marker 与关键工艺过程参数(CPPs)之间的关系。最后,优化关键工艺的 CPPs,以提高工艺效率。

结果

在鉴定的 97 种化合物中,选择三七皂苷 R、人参皂苷 Rg、Re、Rb 和 Rd 作为 PNS 的 Q-marker。我们对 PNS 生产工艺的分析表明,提取工艺和柱层析工艺是关键工艺。以每个工艺的 CPPs 为输入,以 Q-marker 的含量为输出,分别为三七总皂苷的提取工艺和柱层析工艺建立了两个过程预测模型,均具有良好的预测能力。基于我们构建的提取工艺和柱层析工艺的效率模型,计算出这两个过程的最优 CPPs。

结论

研究结果表明,源于 CMC 研究策略的 Q-marker 可用于分析中药的生产工艺,以确保产品质量,并同时提高关键工艺的效率。

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