Visualizing the Spatial Distribution of Metabolites in Angelica sinensis Roots by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging.

IF 3 3区 生物学 Q2 BIOCHEMICAL RESEARCH METHODS Phytochemical Analysis Pub Date : 2025-01-14 DOI:10.1002/pca.3507
Xiaofei Yue, Li Feng, Chenglong Sun, Lu Wang
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Abstract

Introduction: Angelica sinensis is one of the most popular traditional Chinese medicines (TCM) and has been extensively used to treat various diseases. Hundreds of endogenous ingredients have been isolated and identified from this herb, but their spatial distribution within the plant root is largely unknown.

Objectives: In this study, we tried to investigate and map within-tissue spatial distribution of metabolites in Angelica sinensis roots.

Material and methods: After optimization of experiment conditions, the 1,5-diaminonaphthalene (1,5-DAN) was chosen as the matrix and was sprayed on the surface of root sections. Then matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was employed to perform in situ detection and obtain detail spatial distribution information of metabolites in Angelica sinensis roots.

Results: The spatial distributions of a wide range of metabolites including organic acids, amino acids, oligosaccharides, and phospholipids were characterized and visualized in Angelica sinensis roots. Majority of these metabolites were located in the phloem and xylem, while ferulic acid was mainly present in the cork layer. The results revealed a dramatic metabolic heterogeneity among different regions of the roots and distinct spatial distribution patterns of different metabolites. Additionally, the metabolic pathways involved in the biosynthesis of choline were also successfully localized and visualized.

Conclusion: This study comprehensively characterized the spatial distribution of metabolites in Angelica sinensis roots, which would prompt the understanding of its chemical separation, biosynthesis, and pharmacological activities.

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用基质辅助激光解吸/电离质谱成像技术观察当归根代谢产物的空间分布。
简介:当归是最受欢迎的中药之一,被广泛用于治疗各种疾病。数百种内源成分已被分离和鉴定,但它们在植物根部的空间分布在很大程度上是未知的。目的:研究当归根代谢产物在组织内的空间分布。材料与方法:经实验条件优化,选择1,5-二氨基萘(1,5- dan)为基质,喷施于根切片表面。采用基质辅助激光解吸/电离质谱成像(MALDI-MSI)原位检测,获得当归根中代谢物的详细空间分布信息。结果:对当归根中有机酸、氨基酸、寡糖、磷脂等多种代谢产物的空间分布进行了表征和可视化。这些代谢物主要分布在韧皮部和木质部,而阿魏酸主要存在于软木层。结果表明,不同区域的根代谢具有明显的异质性,不同代谢物的空间分布格局也不同。此外,参与胆碱生物合成的代谢途径也被成功地定位和可视化。结论:本研究全面表征了当归根中代谢物的空间分布,有助于对其化学分离、生物合成及药理活性的认识。
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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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