Quality markers of Polygala fallax Hemsl decoction based on qualitative and quantitative analysis combined with network pharmacology and chemometric analysis.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Phytochemical Analysis Pub Date : 2024-08-01 Epub Date: 2024-05-15 DOI:10.1002/pca.3380
Yangling Li, Yanwei Cheng, Yingqi Zhang, Huiling Nan, Ning Lin, Qing Chen
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引用次数: 0

Abstract

Introduction: Polygala fallax Hemsl (PFH) is a widely used herbal medicine in Guangxi, China. At present, research on PFH mainly focuses on extraction technology and cultivation, lacking quality control standards for systematic evaluation.

Objectives: The study aimed to assess the quality of PFH from different sources and to predict markers that would help assess quality.

Methods: Fingerprinting of 15 batches of PFH samples was performed by ultra-high performance liquid chromatography (UPLC) and similarity was assessed using hierarchical cluster analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discrimination (OPLS-DA). Differential components were screened by mathematical analysis, and a "component-target-pathway" network map was constructed in combination with network pharmacology, quality markers (Q-markers) of PFH were predicted, and quantitative analysis was performed.

Results: Fifteen batches were fingerprinted for PFH, with 11 common peaks, and peak 5 was identified as 4-hydroxybenzoic acid, which was generally consistent with the results of HCA, PCA, and OPLS-DA. Network pharmacology screened 18 potential compounds, 45 core targets, and 20 key pathways, integrating fingerprinting, pattern recognition, and network pharmacology methods. One of the potential Q-markers that can identify the principle of testability, efficacy, and specificity is 4-hydroxybenzoic acid, whose content ranges from 0.0188 to 1.4517 mg/g.

Conclusion: The potential Q-markers of PFH were predicted by integrating fingerprinting, pattern recognition, and network pharmacological analysis, which provided a scientific basis for the overall control and evaluation of the quality of PFH and a theoretical reference for the study of the quality standard of multi-base traditional Chinese medicine.

基于定性和定量分析并结合网络药理学和化学计量学分析的远志水煎剂质量指标。
简介远志(Polygala fallax Hemsl,PFH)是中国广西广泛使用的一种中药材。目前,有关何首乌的研究主要集中在提取技术和栽培方面,缺乏系统评价的质量控制标准:本研究旨在评估不同来源的 PFH 质量,并预测有助于评估质量的标记物:方法:采用超高效液相色谱法(UPLC)对 15 批 PFH 样品进行指纹图谱分析,并使用层次聚类分析法(HCA)、主成分分析法(PCA)和正交偏最小二乘判别法(OPLS-DA)评估相似性。通过数学分析筛选差异成分,结合网络药理学构建 "成分-目标-途径 "网络图,预测 PFH 的质量标记(Q-标记),并进行定量分析:对 15 个批次的 PFH 进行了指纹图谱分析,共有 11 个峰,其中第 5 峰被确定为 4-羟基苯甲酸,这与 HCA、PCA 和 OPLS-DA 的结果基本一致。网络药理学筛选了 18 个潜在化合物、45 个核心靶点和 20 个关键通路,整合了指纹图谱、模式识别和网络药理学方法。结论:4-羟基苯甲酸是潜在的Q标记物之一,其含量在0.0188至1.4517 mg/g之间,可识别可测试性、有效性和特异性原则:综合指纹图谱、模式识别、网络药理分析等方法预测了全氟辛酸的潜在Q标记,为全氟辛酸质量的全面控制和评价提供了科学依据,也为多基中药质量标准的研究提供了理论参考。
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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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