Geographical distribution-based differentiation of cultivated Angelica dahurica, exploring the relationship between the secretory tract and the quality.

Based on geographical distribution, cultivated Chinese Angelica dahurica has been divided into Angelica dahurica cv. 'Hangbaizhi' (HBZ) and Angelica dahurica cv. 'Qibaizhi' (QBZ). Long-term geographical isolation has led to significant quality differences between them. The secretory structure in medicinal plants, as a place for accumulating effective constituents and information transmission to the environment, links the environment with the quality of medicinal materials. However, the secretory tract differences between HBZ and QBZ has not been revealed. This study aimed to explore the relationship between the secretory tract and the quality of two kinds of A. dahurica. Root samples were collected at seven development phases. High-Performance Liquid Chromatography (HPLC) and Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI) were used for the content determination and spatial location of coumarins. Paraffin section was used to observe and localize the root secretory tract. Origin, CaseViewer, and HDI software were used for data analysis and image processing. The results showed that compared to QBZ, HBZ, with better quality, has a larger area of root secretory tracts. Hence, the root secretory tract can be included in the quality evaluation indicators of A. dahurica. Additionally, DESI-MSI technology was used for the first time to elucidate the temporal and spatial distribution of coumarin components in A. dahurica root tissues. This study provides a theoretical basis for the quality evaluation and breeding of improved varieties of A. dahurica and references the DESI-MSI technology used to analyze the metabolic differences of various compounds, including coumarin and volatile oil, in different tissue parts of A. dahurica.

Metabolomics analysis reveals metabolite changes during freeze-drying and oven-drying of Angelica dahurica.

Angelica dahurica (Angelica dahurica Fisch. ex Hoffm.) is widely used as a traditional Chinese medicine and the secondary metabolites have significant pharmacological activities. Drying has been shown to be a key factor affecting the coumarin content of Angelica dahurica. However, the underlying mechanism of metabolism is unclear. This study sought to determine the key differential metabolites and metabolic pathways related to this phenomenon. Liquid chromatography with tandem mass spectrometry (LC-MS/MS) based targeted metabolomics analysis was performed on Angelica dahurica that were freeze-drying (- 80 °C/9 h) and oven-drying (60 °C/10 h). Furthermore, the common metabolic pathways of paired comparison groups were performed based on KEEG enrichment analysis. The results showed that 193 metabolites were identified as key differential metabolites, most of which were upregulated under oven drying. It also displayed that many significant contents of PAL pathways were changed. This study revealed the large-scale recombination events of metabolites in Angelica dahurica. First, we identified additional active secondary metabolites apart from coumarins, and volatile oil were significantly accumulated in Angelica dahurica. We further explored the specific metabolite changes and mechanism of the phenomenon of coumarin upregulation caused by temperature rise. These results provide a theoretical reference for future research on the composition and processing method of Angelica dahurica.

Study on the potential mechanism, therapeutic drugs and prescriptions of insomnia based on bioinformatics and molecular docking.

Insomnia is a very common disease worldwide. It seriously affects the quality of human life and even endangers health. Traditional Chinese medicine (TCM) has unique advantages in the intervention and treatment of insomnia. However, its underlying mechanism has yet to be elucidated. This study was performed to explore the potential biomarkers and mechanisms of insomnia, and treatment TCM and classical prescriptions. The gene microarray data of insomnia is downloaded and preprocessed. Differentially expressed genes (DEGs) and GO and KEGG enrichment analyses were performed. The protein-protein interaction network (PPI) was constructed. Small molecule drugs for curing insomnia were identified using cMap and CTD databases. We searched the TCM corresponding to small molecule drugs and the classic prescriptions corresponding to TCM by the TCMSP database. We constructed a network of "ingredient-TCM-classic prescriptions". The molecular docking was performed to validate the screening results. We obtained a total of 124 DEGs, including 78 up-regulated genes, 46 down-regulated genes, 10 Hub genes and 3 key modules. A total of 125 significant GO entries and 15 significant KEGG were enriched (P < 0.05). The main biological processes involve neuronal apoptosis, autophagy, cell growth and apoptosis, etc. These signaling pathways may be involved in molecular regulatory mechanisms of insomnia, such as autophagy regulation, Alzheimer's disease, pathways to neurodegenerative diseases and neurotrophic factor signaling pathways. We identified 10 traditional Chinese medicines and 2 classical prescriptions of potential value. In addition, the molecular docking results indicated that small molecule ligands were nicely bound to the Hub gene, and the binding affinity ranged from -7.6 to -9.7 kcal/mol. This study provides a foundation for the clinical treatment of insomnia, explains the molecular mechanisms, and efficiently develops TCM and classical prescriptions.

[Composition changes reveal relationship between color and enzymatic reaction of Magnoliae Officinalis Cortex during "sweating" process].

In this study, we employed Q Exactive to determine the main differential metabolites of Magnoliae Officinalis Cortex du-ring the "sweating" process. Further, we quantified the color parameters and determined the activities of polyphenol oxidase(PPO), peroxidase(POD), and tyrosinase of Magnoliae Officinalis Cortex during the "sweating" process. Gray correlation analysis was performed for the color, chemical composition, and enzyme activity to reveal the effect of enzymatic reaction on the color of Magnoliae Officinalis Cortex during the "sweating" process. Magnoliae Officinalis Cortex sweating in different manners showed similar metabolite changes. The primary metabolites that changed significantly included amino acids, nucleotides, and sugars, and the secondary metabolites with significant changes were phenols and phenylpropanoids. Despite the different sweating methods, eleven compounds were commonly up-regulated, including L-glutamic acid, acetylarginine, hypoxanthine, and xanthine; six compounds were commonly down-re-gulated, including L-arginine, L-aspartic acid, and phenylalanine. The brightness value(L~*), red-green value(a~*), and yellow-blue value(b~*) of Magnoliae Officinalis Cortex kept decreasing during the "sweating" process. The changes in the activities of PPO and POD during sweating were consistent with those in the color parameter values. The gray correlation analysis demonstrated that the main differential metabolites such as amino acids and phenols were closely related to the color parameters L~*, a~* and b~*; POD was correlated with amino acids and phenols; PPO had strong correlation with phenols. The results indicated that the color change of Magnoliae Officinalis Cortex during "sweating" was closely related to the reactions of enzymes dominated by PPO and POD. The study analyzed the correlations among the main differential metabolites, color parameters, and enzyme activities of Magnoliae Officinalis Cortex in the "sweating" process. It reveals the common law of material changes and ascertains the relationship between color changes and enzymatic reactions of Magnoliae Officinalis Cortex during "sweating". Therefore, this study provides a reference for studying the "sweating" mechanism of Magnoliae Officinalis Cortex and is of great significance to guarantee the quality of Magnoliae Officinalis Cortex.