通过整合血清药理化学和网络药理学,发现枸杞的质量评估和 Q 标记。

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2024-07-01 Epub Date: 2024-02-18 DOI:10.1002/pca.3337
Yuxin Li, Mengyu Zhang, Xinyu Liu, Xiaobin Zhang, Pingchuan Pan, Rui Tan, Hezhong Jiang
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引用次数: 0

摘要

简介枸杞子(CSF)是一种常见的水果,也是一种传统中药(TCM),但由于缺乏全面而具体的质量评价标准,其进一步发展和研究受到了阻碍:本研究旨在建立与 CSF 治疗机制相关的明确的中药质量标准,为后续研究和开发提供依据:方法:采用超高效液相色谱-混合四极杆-奥比阱高分辨质谱(UPLC-Q-orbitrap HRMS)技术全面鉴定大鼠血清中的CSF成分并探讨其吸光度。采用网络药理学研究方法,探讨了已鉴定成分在治疗主要临床疾病中的潜在作用机制。随后,采用高效液相色谱指纹图谱定性分析和多指标含量测定相结合的方法,对已确定的质量标记(Q-markers)的可检测性进行了评估:结果:初步确定了大鼠血清中的 26 种原型成分。网络药理学分析表明,7-羟基香豆素、异莨菪亭、薯蓣皂甙、橙皮甙、5,7-二甲氧基香豆素和佛手苷六种有效成分在治疗慢性胃炎、功能性消化不良、消化性溃疡和抑郁症中发挥了重要作用,被初步鉴定为Q标记物。15 批 CSF 的含量测定结果表明,不同产地的药材含量存在显著差异。然而,与初步确定的 Q 标志物相比,所有六种成分均可测定并被确定为 CSF 的 Q 标志物:结论:本研究获得的化学 Q 标记可用于对 CSF 进行有效的质量控制。
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Quality assessment and Q-markers discovery in Citri Sarcodactylis Fructus by integrating serum pharmacochemistry and network pharmacology.

Introduction: Citri Sarcodactylis Fructus (CSF), a common fruit and traditional Chinese medicine (TCM), has been hindered in its further development and research owing to the lack of comprehensive and specific quality evaluation standards.

Objective: This study aimed to establish clear TCM quality standards related to the therapeutic mechanisms of CSF and to provide a basis for subsequent research and development.

Methods: Ultra-high performance liquid chromatography coupled with hybrid quadrupole-orbitrap high-resolution mass spectrometry (UPLC-Q-orbitrap HRMS) technology was used to comprehensively identify CSF components and explore their absorbance levels in rat serum. Network pharmacology research methods were employed to investigate the potential mechanisms of action of the identified components in the treatment of major clinical diseases. Subsequently, a combination of HPLC chromatographic fingerprinting for qualitative analysis and multi-index content determination was used to evaluate the detectability of the identified quality markers (Q-markers).

Results: Twenty-six prototype components were tentatively characterized in rat serum. Network pharmacology analysis showed six effective components, namely 7-hydroxycoumarin, isoscopoletin, diosmin, hesperidin, 5,7-dimethoxycoumarin, and bergapten, which played important roles in the treatment of chronic gastritis, functional dyspepsia, peptic ulcer, and depression and were preliminarily identified as Q-markers. The results of content determination in 15 batches of CSF indicated significant differences in the content of medicinal materials from different origins. However, compared with the preliminarily determined Q-markers, all six components could be measured and were determined as Q-markers of CSF.

Conclusion: The chemical Q-markers obtained in this study could be used for effective quality control of CSF.

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来源期刊
Phytochemical Analysis
Phytochemical Analysis 生物-分析化学
CiteScore
6.00
自引率
6.10%
发文量
88
审稿时长
1.7 months
期刊介绍: Phytochemical Analysis is devoted to the publication of original articles concerning the development, improvement, validation and/or extension of application of analytical methodology in the plant sciences. The spectrum of coverage is broad, encompassing methods and techniques relevant to the detection (including bio-screening), extraction, separation, purification, identification and quantification of compounds in plant biochemistry, plant cellular and molecular biology, plant biotechnology, the food sciences, agriculture and horticulture. The Journal publishes papers describing significant novelty in the analysis of whole plants (including algae), plant cells, tissues and organs, plant-derived extracts and plant products (including those which have been partially or completely refined for use in the food, agrochemical, pharmaceutical and related industries). All forms of physical, chemical, biochemical, spectroscopic, radiometric, electrometric, chromatographic, metabolomic and chemometric investigations of plant products (monomeric species as well as polymeric molecules such as nucleic acids, proteins, lipids and carbohydrates) are included within the remit of the Journal. Papers dealing with novel methods relating to areas such as data handling/ data mining in plant sciences will also be welcomed.
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