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.

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.

Screening of active components of Ganoderma lucidum and decipher its molecular mechanism to improve learning and memory disorders.

Learning and memory impairment (LMI), a common degenerative central nervous system disease. Recently, more and more studies have shown that Ganoderma lucidum (GL) can improve the symptoms of LMI. The active ingredients in GL and their corresponding targets were screened through TCMSP (Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform) and BATMAN-TCM (Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine) databases, and the potential LMI targets were searched for through GeneCard (GeneCards Human Gene Database) and DrugBank. Then, we construct a 'main active ingredient-target' network and a protein-protein interaction (PPI) network diagram.The GO (Gene Ontology) functional enrichment analysis and KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway annotation analysis were performed on the common targets through DAVID (Database for Annotation Visualization and Integrated Discovery) to clarify the potential molecular mechanism of action of active ingredients in GL. The tumor necrosis factor (TNF) protein was verified by Western blot; Twenty one active ingredients in GL and 142 corresponding targets were screened out, including 59 targets shared with LMI. The 448 biological processes shown by the GO functional annotation results and 55 signal pathways shown by KEGG enrichment analysis were related to the improvement of LMI by GL, among which the correlation of Alzheimer's disease pathway is the highest, and TNF was the most important protein; TNF can improve LMI. GL can improve LMI mainly by 10 active ingredients in it, and they may play a role by regulating Alzheimer's disease pathway and TNF protein.