UPLC-ESI-MS/MS-based widely targeted metabolomics reveals differences in metabolite composition among four Ganoderma species

文献类型: 外文期刊

第一作者: Liu, Wei-Ye

作者: Liu, Wei-Ye;Zhao, Jia-Chen;Yang, Zhao-Qian;Han, Wen-Jun;Yu, Xiao-Dan;Guo, Hong-Bo;Yang, Rui-Heng;Xu, Ai-Guo

作者机构:

关键词: widely targeted metabolomics; Ganoderma; Ganoderma lingzhi; Ganoderma sinense; Ganoderma leucocontextum; Ganoderma tsugae

期刊名称:FRONTIERS IN NUTRITION ( 影响因子:5.0; 五年影响因子:5.7 )

ISSN: 2296-861X

年卷期: 2024 年 11 卷

页码:

收录情况: SCI

摘要: The Chinese name "Lingzhi" refers to Ganoderma genus, which are increasingly used in the food and medical industries. Ganoderma species are often used interchangeably since the differences in their composition are not known. To find compositional metabolite differences among Ganoderma species, we conducted a widely targeted metabolomics analysis of four commonly used edible and medicinal Ganoderma species based on ultra performance liquid chromatography-electrospray ionization-tandem mass spectrometry. Through pairwise comparisons, we identified 575-764 significant differential metabolites among the species, most of which exhibited large fold differences. We screened and analyzed the composition and functionality of the advantageous metabolites in each species. Ganoderma lingzhi advantageous metabolites were mostly related to amino acids and derivatives, as well as terpenes, G. sinense to terpenes, and G. leucocontextum and G. tsugae to nucleotides and derivatives, alkaloids, and lipids. Network pharmacological analysis showed that SRC, GAPDH, TNF, and AKT1 were the key targets of high-degree advantage metabolites among the four Ganoderma species. Analysis of Gene Ontology and Kyoto Encyclopedia of Genes and Genomes demonstrated that the advantage metabolites in the four Ganoderma species may regulate and participate in signaling pathways associated with diverse cancers, Alzheimer's disease, and diabetes. Our findings contribute to more targeted development of Ganoderma products in the food and medical industries.

分类号:

  • 相关文献
作者其他论文 更多>>