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Corydalis yanhusuo (YHS), a traditional Chinese medicine (TCM), was commonly steamed before clinical usage for chronic atrophic gastritis (CAG). However, the reasonable steaming time had not occurred, and bioactive components of potential mechanisms of YHS for CAG were still unclear. Thus, the main purpose of this study is to investigate the necessity of steaming processing of YHS before using it in clinical via mass spectrometry imaging (MSI). During 1-10 min, changes in volatile components (VOCs) were measured by headspace gas chromatography-ion mobility spectrometry (HS-GC-IMS) and components of YHS were observed via high-performance liquid analysis (HPLC) in steaming processing to analyze the optimum steaming time. As well as investigating the mechanism of YHS for CAG by using network pharmacology. Overall, berberine, coptisine, columbamine, jatrorrhizine, and magnoflorine were markedly increased after steaming of YHS that the best time of 5-7 min. The VOCs were significantly changed, which mainly include 2-phenylacetaldehyde, 3-methylbutanal, and alpha-terpinolene. Furthermore, the compound-target-disease networks and the protein-protein interaction (PPI) analysis were performed, which involve PI3K-Akt and MAPK signaling pathway subsequently. Molecular docking and molecular dynamics were performed; the sanguinarine, berberine, and saulatine were key components to regulate HSP90AB1 and MAPK3 of YHS for CAG.
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http://dx.doi.org/10.1002/bmc.70191 | DOI Listing |
Biomed Chromatogr
September 2025
School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, Tianjin, China.
Corydalis yanhusuo (YHS), a traditional Chinese medicine (TCM), was commonly steamed before clinical usage for chronic atrophic gastritis (CAG). However, the reasonable steaming time had not occurred, and bioactive components of potential mechanisms of YHS for CAG were still unclear. Thus, the main purpose of this study is to investigate the necessity of steaming processing of YHS before using it in clinical via mass spectrometry imaging (MSI).
View Article and Find Full Text PDFBMC Genomics
May 2023
Research Data Sciences, Translational Biology, Biogen Inc., Cambridge, MA, 02142, USA.
Background: Single-cell RNA sequencing is a state-of-the-art technology to understand gene expression in complex tissues. With the growing amount of data being generated, the standardization and automation of data analysis are critical to generating hypotheses and discovering biological insights.
Results: Here, we present scRNASequest, a semi-automated single-cell RNA-seq (scRNA-seq) data analysis workflow which allows (1) preprocessing from raw UMI count data, (2) harmonization by one or multiple methods, (3) reference-dataset-based cell type label transfer and embedding projection, (4) multi-sample, multi-condition single-cell level differential gene expression analysis, and (5) seamless integration with cellxgene VIP for visualization and with CellDepot for data hosting and sharing by generating compatible h5ad files.