Non-targeted metabolomics-based molecular networking enables the chemical characterization of Rumex sanguineus, a wild edible plant.

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Valentina Ramundi, Mitja M Zdouc, Enrica Donati, Justin J J van der Hooft, Sara Cimini, Laura Righetti
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Abstract

Introduction and objective: Rumex sanguineus, a traditional medicinal plant of the Polygonaceae family, is gaining popularity as an edible resource. However, despite its historical and nutritional significance, its chemical composition remains poorly understood. To deepen the understanding of the of Rumex sanguineus composition, an in-depth analysis using non-targeted, mass spectrometry-based metabolomics was performed.  METHODS: Rumex roots, stems and leaves samples were analyzed by UHPLC-HRMS and subsequently subjected to feature-based molecular networking.

Results and conclusion: Overall, 347 primary and specialized metabolites grouped into 8 biochemical classes were annotated. Most of these metabolites (60%) belong to the polyphenols and anthraquinones classes. To investigate potential' toxicity due to the presence of anthraquinones, the amount of emodin was quantified with analytical standard, revealing higher accumulation in leaves compared to stems and roots. This highlights the need for thorough metabolomic studies to understand both beneficial and harmful compounds, especially in plants with historical medicinal use transitioning to modern culinary use.

基于非靶向代谢组学的分子网络使野生可食用植物Rumex sanguineus的化学表征成为可能。
简介与目的:血蓼科传统药用植物血蓼作为一种可食用资源正日益受到人们的欢迎。然而,尽管它的历史和营养意义重大,它的化学成分仍然知之甚少。为了加深对血鼻露成分的了解,我们使用非靶向的、基于质谱的代谢组学进行了深入分析。方法:采用UHPLC-HRMS对芦笋根、茎、叶样品进行分析,并建立基于特征的分子网络。结果和结论:总共注释了347种初级和特殊代谢物,分为8个生化类。这些代谢物大部分(60%)属于多酚类和蒽醌类。为了研究蒽醌类化合物对大黄素的潜在毒性,用分析标准对大黄素的含量进行了定量分析,发现大黄素在大黄叶中的含量高于茎和根。这突出表明需要进行彻底的代谢组学研究,以了解有益和有害的化合物,特别是在历史药用向现代烹饪用途过渡的植物中。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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