Matrix-assisted laser desorption ionization mass spectrometry imaging reveals the spatial distribution of compounds that may exacerbate inflammation in garden ginseng and ginseng under forest
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引用次数: 0
Abstract
Ginseng, a highly esteemed herbal medicine, has been utilized over 5000 years, predominantly in Far Eastern countries. Ginseng is categorized into garden ginseng (GG) and ginseng under forest (FG). However, in contrast to FG, excessive intake of GG may lead to potential adverse effects due to disruption of epithelial cell integrity, and the specific population groups that may be at higher risk. In this work, untargeted metabolomics were used to determine the heterogeneity between GG and FG, the data indicates that the content of Ethyl caffeate, Homoorientin, Citric acid and Quinic acid in GG were higher than in FG. Mass spectrometry imaging showed that ethyl caffeate and Homoorientin were concentrated on the brownish yellow exocarp of the primary root. Our experiments demonstrated that excessive exposure to ethyl caffeate and Homoorientin exacerbated the inflammatory response of HUVECs and reduced the expression of cell junctions. This suggest that the compounds causing adverse effects from excessive intake of GG are mainly concentrated in the yellow exocarp of the primary root of GG. These results suggest that untargeted metabolomics coupled with MALDI-MSI can visualize the spatial distribution of endogenous differential molecules of the same herb in different growth environments or developmental stages.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.