A multidimensional strategy for uncovering comprehensive quality markers of Schisandra chinensis (Turcz.) Baill based on pharmacodynamics and chemical properties,Phytomedicine

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A multidimensional strategy for uncovering comprehensive quality markers of Schisandra chinensis (Turcz.) Baill based on pharmacodynamics and chemical properties
Phytomedicine ( IF 6.7 ) Pub Date : 2022-06-12 , DOI: 10.1016/j.phymed.2022.154273
Yiwen Zhang ₁ , Saiyu Li ₁ , Panpan Yang ₁ , Qian Zhang ₁ , Huarong Xu ₁ , Kaishun Bi ₁ , Qing Li ₁

Affiliation

Background

Quality control of Traditional Chinese Medicines (TCMs) has improved greatly, but there is still a lack of a convincing quality evaluation system for TCMs. Developing quality control markers of TCMs based on pharmacodynamics instead of content has been an attractive approach. However, on account of neglecting phytochemistry attributes of TCMs, part of effective markers might be short of specificity and inconvenient for detecting in production manufacture, which is adverse to control the quality of TCMs systematically.

Purpose

To build a novel and multidimensional quality assessment approach for TCMs based on pharmacodynamics and chemical properties.

Methods

Schisandra chinensis (Turcz.) Baill (S. chinensis) was used as an example and a rat depression model was built by using a chronic unpredictable mild stress procedure. For identifying the antidepressive components of S. chinensis, we elucidated its antidepressant mechanism in first-step by using quantitative RT-PCR and immunoblotting techniques. And accordingly, correlation analysis between ingredients in vivo with target proteins and anti-inflammation experiments in vitro were carried out. On the other hand, HPLC fingerprint combinations with diverse chemometrics methods were applied to analyze 14 preparations of S. chinensis to obtain its characteristic chemical information. Finally, we ascertained the quality control markers of S. chinensis by integrating the efficacious and characteristic constituents.

Results

Our research indicated that S. chinensis treated depression by relieving disordered monoaminergic system and ameliorating neuroinflammation. Five effective substances (schisandrol A, schisandrin A, gomisin N, schisandrin B, and schisandrin C) were screened out according to their potential anti-depression efficacy. Besides, 21 common ingredients and 4 representative constituents of S. chinensis were identified by chemical analysis, whereas only 2 characteristic quantitative markers (schisandrol A, schisandrol B) were ultimately ascertained based on previous studies.

Conclusion

6 components, schisandrol A, schisandrin A, gomisin N, schisandrin B, schisandrin C, and schisandrol B, possessed efficacy, measurability, and specificity, were selected as the comprehensive markers for quality control of S. chinensis. We proposed a multidimensional strategy for identifying comprehensive quality markers for TCMs in this study.

中文翻译：

基于药效学和化学性质的五味子综合品质标志物多维揭示策略

背景

中药（TCMs）的质量控制有了很大改善，但仍然缺乏令人信服的中药质量评价体系。开发基于药效学而不是含量的中药质量控制标志物一直是一种有吸引力的方法。然而，由于忽视了中药的植物化学属性，部分有效标志物可能缺乏特异性，在生产过程中检测不便，不利于中药质量的系统控制。

目的

建立基于药效学和化学性质的中药多维质量评价新方法。

方法

以五味子(Turcz.) Baill ( S. chinensis ) 为例，采用慢性不可预测的轻度应激程序建立大鼠抑郁模型。为鉴定S. chinensis 的抗抑郁成分，我们首先通过定量 RT-PCR 和免疫印迹技术阐明了其抗抑郁作用机制。并据此进行了体内成分与靶蛋白的相关性分析和体外抗炎实验。另一方面，将 HPLC 指纹图谱与多种化学计量学方法相结合，对 14 种中药制剂进行了分析。获取其特征化学信息。最后，我们通过整合有效成分和特征成分确定了五香子的质量控制标志物。

结果

我们的研究表明，五味子通过缓解紊乱的单胺能系统和改善神经炎症来治疗抑郁症。根据其潜在的抗抑郁功效，筛选出五种有效物质（五味子A、五味子A、五味子N、五味子B和五味子C）。此外，通过化学分析鉴定了五味子的21种常见成分和4种代表性成分，而根据前人的研究，最终仅确定了2种特征定量标志物（五味子A、五味子B）。