基于超高效液相色谱-四极杆飞行时间质谱的非靶向代谢组学结合生物活性表征梅果肉的质量标志物

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS
Qiao Liu, Danni Chen, Huixin Liu, Miaomiao Wang, Yaqian Zhou, Hui Dai, Jian Liu, Wu Yin, Fangzhou Yin
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引用次数: 0

摘要

摘要梅果果肉(MFP)是一种广泛应用的中草药,具有丰富的营养价值和生物活性,但其质量控制方面的研究相对较少。目的:评价不同产地杏粕及其掺假杏粕(APP)的质量差异,并确定潜在的质量标记。方法:采用超高效液相色谱-四极杆飞行时间质谱联用特征分子网络进行非靶向代谢组学分析,鉴定其化学成分。采用RT-qPCR和酶联免疫吸附试验(ELISA)分析实验样品对促炎细胞因子基因表达的影响,以确定其抗炎潜能。通过自由基清除试验评估抗氧化活性。随后,通过化学计量学分析其生物活性与化学成分的关系,初步确定了MFP的质量指标。基于网络药理学和分子对接,进一步确定MFP的质量标记及其可能的分子机制。结果:不同产地mfp的黄酮、有机酸含量及抗炎、抗氧化活性均存在显著差异。其掺假物APP不仅在组成上与MFP不同,而且生物活性也明显较弱。16种化合物与MFP的抗氧化或抗炎作用呈正相关。结合网络药理学和分子对接,确定了柠檬酸、马来酸、芦丁、槲皮素、异槲皮素、螺旋皂苷、橙皮苷等作为MFP的潜在质量标记。结论:本研究显示了非靶向代谢组学分析与生物活性分析相结合在草药品质标志物鉴定中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Quality Marker for Mume Fructus Pulp by Ultra-Performance Liquid Chromatography-Quadrupole Time-of-Flight Mass Spectrometry-Based Untargeted Metabolomics Combined With Biological Activities.

Introduction: As a widely used Chinese herbal medicine, Mume Fructus pulp (MFP) has rich nutritional value and biological activity, but its quality control research is relatively scarce.

Objectives: The objective of the study was to evaluate the quality difference between MFPs from different origins and its adulterant apricot pulp (APP), and to identify potential quality markers.

Methods: The chemical compositions were identified by untargeted metabolomics analysis based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry combined with feature-based molecular networking. The effect of the test samples on the gene expression of the pro-inflammatory cytokines was investigated by RT-qPCR and ELISA analyses to determine their anti-inflammatory potential. Antioxidant activity was assessed by a free radical scavenging assay. Subsequently, the relationship between biological activity and chemical composition was analyzed by chemometrics, and the quality index of MFP was preliminarily determined. Based on network pharmacology and molecular docking, quality markers of MFP and their possible molecular mechanisms were further determined.

Results: There were significant differences in the contents of flavonoids and organic acids, as well as the anti-inflammatory and antioxidant activities of MFPs from different habitats. Its adulterant APP was not only different from MFP in composition, but also had significantly weaker biological activity. Sixteen compounds were positively correlated with the antioxidant or anti-inflammatory effects of MFP. Combined with network pharmacology and molecular docking, citric acid, maleic acid, rutin, quercetin, isoquercetin, spiraeoside, and hesperidin were identified as potential quality markers of MFP.

Conclusion: This study showed the potential of untargeted metabolomic analysis combined with bioactivity assays in the identification of herbal quality markers.

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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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