整合超高效液相色谱和轨道rap高分辨率质谱,基于特征的分子网络和网络医学,解锁濒危中国七果的收获策略。

IF 2.8 3区 工程技术 Q2 CHEMISTRY, ANALYTICAL
Yingpeng Tong, Xin Li, Jiang Wan, Qi Zhou, Chunxiao Jiang, Na Li, Zexin Jin, Junjie Gu, Fan Li, Junmin Li
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引用次数: 0

摘要

评估濒危植物物种的实际利用价值对其保护至关重要。然而,许多濒临灭绝的植物,包括中国黄果在内,缺乏历史使用数据,导致传统药理学研究缺乏指导。这一差距阻碍了它们的发展和潜在利用。采用超高效液相色谱法和Orbitrap高分辨率质谱法对不同采收期的五味子叶片进行分析。然后,结合特征片段离子、中性损失过滤和基于特征的分子网络,通过自建的R脚本自动注释代谢物。通过代谢组学与网络医学分析相结合,解锁了五倍子的潜在用途和最佳采收期。共鉴定出305种代谢物,其中66.8%的代谢物由自建的R脚本注释。从5月到8月,代谢物差异逐渐增加,随后从8月到10月,差异相对较小。值得注意的是,在不同时期收获的五味子中检测到不同的代谢物,这意味着功效可能存在差异。网络医学分析表明,五倍子对肺癌、糖尿病、膀胱癌和阿尔茨海默病可能具有治疗意义。在5月和9月收集的样本显示出卓越的功效。根据样品特征和代谢物含量的变化,根据其预期的饮食或药用用途,在这几个月中进行了战略性的收获。本研究建立了一种有效的方法来研究五味子的代谢产物,并探索其在食品和草药中的潜在应用。为临床应用经验有限的濒危植物的可持续保护提供技术支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Ultra-High-Performance Liquid Chromatography and Orbitrap High-Resolution Mass Spectrometry, Feature-Based Molecular Networking, and Network Medicine to Unlock Harvesting Strategies for Endangered Sinocalycanthus Chinensis

Evaluating the practical utility of endangered plant species is crucial for their conservation. Nevertheless, numerous endangered plants, including Sinocalycanthus chinensis, lack historical usage data, leading to a paucity of guidance in traditional pharmacological research. This gap impedes their development and potential utilization. Ultra-high-performance liquid chromatography and Orbitrap high-resolution mass spectrometry were employed to analyze the S. chinensis leaves collected at different harvesting times. Then, the metabolites were automatically annotated by a self-built R script in conjunction with characteristic fragment ions, neutral loss filtering, and feature-based molecular networking. By integrating metabolomics with network medicine analysis, the potential usage and optimal harvest times for S. chinensis were unlocked. A total of 305 metabolites were identified, with 66.8% annotated by self-built R script. A progressive increase in metabolite disparities was observed from May to August, followed by a relatively minor distinction from August to October. Notably diverse metabolites were detected in S. chinensis harvested during different periods, implying potential variations in efficacy. Network medicine analysis indicated possible therapeutic implications of S. chinensis for lung cancer, diabetes, bladder cancer, and Alzheimer's disease. Samples collected in May and September demonstrated exceptional efficacy. Harvesting was strategically conducted during these months based on variations in sample characteristics and metabolite content, tailored to their intended applications for dietary or medicinal purposes. This study developed an efficient methodology for investigating metabolites and exploring the potential applications of S. chinensis in food and herbal medicine. Consequently, it provides technical support for the sustainable conservation of endangered plants with limited clinical application experience.

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来源期刊
Journal of separation science
Journal of separation science 化学-分析化学
CiteScore
6.30
自引率
16.10%
发文量
408
审稿时长
1.8 months
期刊介绍: The Journal of Separation Science (JSS) is the most comprehensive source in separation science, since it covers all areas of chromatographic and electrophoretic separation methods in theory and practice, both in the analytical and in the preparative mode, solid phase extraction, sample preparation, and related techniques. Manuscripts on methodological or instrumental developments, including detection aspects, in particular mass spectrometry, as well as on innovative applications will also be published. Manuscripts on hyphenation, automation, and miniaturization are particularly welcome. Pre- and post-separation facets of a total analysis may be covered as well as the underlying logic of the development or application of a method.
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