Geographical Variation in Metabolite Profiles and Bioactivity of Thesium Chinense Turcz. Revealed by UHPLC-Q/TOF-MS-Based Metabolomics
SSRN, ISSN: 1556-5068
2024
- 81Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
Thesium chinense Turcz. (TCT), a member of the Apiaceae family with a long-standing role in traditional Chinese medicine, is celebrated for its wide range of pharmacological properties such as antioxidant, antimicrobial, and anti-inflammatory effects. This study employs a non-targeted metabolomics approach via ultra-high-performance liquid chromatography combined with quadrupole time-of-flight mass spectrometry (UPLC-Q/TOF-MS) to investigate the metabolite differences and quality characteristics in wild TCT specimens collected from seven provinces in China. Principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) were applied to identify and differentiate the metabolite profiles of TCT samples, revealing 54 differential metabolites, predominantly flavonoids and alkaloids. The study further employed KEGG pathway analysis, indicating the greatest variations in the biosynthesis pathways of flavonoids and flavanols among the samples. Correlating the metabolite content with the geographical origins, a strong association was observed, suggesting that the bioactivity of TCT is significantly influenced by its provenance. The study also validated the antioxidant and anti-inflammatory activities of TCT, which were found to be highly predictive of the total flavonoid content (TFC). The findings of this research not only provide a comprehensive quality analysis and control framework for herbal medicine but also offer critical theoretical support for the evaluation of TCT quality from different regions. This work highlights the potential of metabolomics in discerning the subtleties of plant metabolomes, thereby contributing to the advancement of traditional Chinese medicine and its integration into modern healthcare practices.
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