[Effects of growth patterns and years on quality of Saposhnikoviae Radix samples].

This study aims to reveal the effects of different growth patterns and years on the quality of Saposhnikoviae Radix samples. The apparent colors of the powder samples were quantified by a colorimeter, and the total color values(E~*ab) were calculated. The content of prim-O-glucosylcimifugin, cimifugin, 4'-O-ß-D-glucosyl-5-O-methylvisamminol, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol in the samples was simultaneously determined by high performance liquid chromatography(HPLC). Cluster analysis, principal component analysis, partial least squares discriminant analysis, and Pearson correlation analysis were performed to analyze the powder chromatic values and the content of 5 components. The results showed that the E~*ab values of the samples were in the order of wild group<multiple-year-old group<one-year-old group. The content of cimifugin, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol in the wild group was significantly higher than that in the multiple-year-old and one-year-old groups. The results of multivariate statistical analysis showed that the quality of multiple-year-old group varied greatly. The quality of the multiple-year-old samples was close to that of the wild group and better than that of the one-year-old group. The variable importance in the projection(VIP) values of b~*, 3'-O-angeloylhamaudol content, E~*ab, and L~* were all larger than 1, and that of cimifugin content was close to 1. The E~*ab value was negatively correlated with the content of prim-O-glucosylcimifugin, cimifugin, sec-O-glucosylhamaudol, and 3'-O-angeloylhamaudol, while it had no linear correlation with the 4'-O-ß-D-glucosyl-5-O-methylvisamminol content. The growth patterns and years had different effects on the quality of Saposhnikoviae Radix samples. The chromatic values of Saposhnikoviae Radix and the content of 5 components can be used to evaluate the quality of Saposhnikoviae Radix, and 3'-O-angeloylhamaudol and cinmifugin can be considered as markers for the quality control of Saposhnikovia divaricata during the growing process.

[Quality evaluation of commercial Ginseng Radix et Rhizoma Rubra based on multi-component quantitative analysis].

To comprehensively evaluate the quality of commercial Ginseng Radix et Rhizoma Rubra, 43 batches of commercial Ginseng Radix et Rhizoma Rubra were collected to determine the content of nine ginsenosides Rg_1, Re, Rb_1, Rk_3, Rh_4, 20(S)-Rg_3, 20(R)-Rg_3, Rk_1, and Rg_5 by high performance liquid chromatography(HPLC). The quality of the commercial Ginseng Radix et Rhizoma Rubra was evaluated by correlation analysis, principal component analysis, factor analysis, analysis of variance(ANOVA), and cluster heatmap analysis. The content determination indicated that the content of common ginsenosides in commercial Ginseng Radix et Rhizoma Rubra were higher while that of rare ginsenosides were lower. Multivariate statistical analysis revealed that ginsenosides Rg_1 and Rb_1 were significantly positively correlated with rare ginsenosides, and Rg_1, Rb_1 and rare ginsenosides played an important role in evaluating the quality of commercial Ginseng Radix et Rhizoma Rubra. In combination with the processing principle and current quality situation of Ginseng Radix et Rhizoma Rubra, it is recommended to improve the content limit of Rb_1 in the existing quality standards.

Exploring the common pathogenesis of Alzheimer's disease and type 2 diabetes mellitus via microarray data analysis.

Background: Alzheimer's Disease (AD) and Type 2 Diabetes Mellitus (DM) have an increased incidence in modern society. Although more and more evidence has supported that DM is prone to AD, the interrelational mechanisms remain fully elucidated. Purpose: The primary purpose of this study is to explore the shared pathophysiological mechanisms of AD and DM. Methods: Download the expression matrix of AD and DM from the Gene Expression Omnibus (GEO) database with sequence numbers GSE97760 and GSE95849, respectively. The common differentially expressed genes (DEGs) were identified by limma package analysis. Then we analyzed the six kinds of module analysis: gene functional annotation, protein-protein interaction (PPI) network, potential drug screening, immune cell infiltration, hub genes identification and validation, and prediction of transcription factors (TFs). Results: The subsequent analyses included 339 common DEGs, and the importance of immunity, hormone, cytokines, neurotransmitters, and insulin in these diseases was underscored by functional analysis. In addition, serotonergic synapse, ovarian steroidogenesis, estrogen signaling pathway, and regulation of lipolysis are closely related to both. DEGs were input into the CMap database to screen small molecule compounds with the potential to reverse AD and DM pathological functions. L-690488, exemestane, and BMS-345541 ranked top three among the screened small molecule compounds. Finally, 10 essential hub genes were identified using cytoHubba, including PTGS2, RAB10, LRRK2, SOS1, EEA1, NF1, RAB14, ADCY5, RAPGEF3, and PRKACG. For the characteristic Aß and Tau pathology of AD, RAPGEF3 was associated significantly positively with AD and NF1 significantly negatively with AD. In addition, we also found ADCY5 and NF1 significant correlations with DM phenotypes. Other datasets verified that NF1, RAB14, ADCY5, and RAPGEF3 could be used as key markers of DM complicated with AD. Meanwhile, the immune cell infiltration score reflects the different cellular immune microenvironments of the two diseases. Conclusion: The common pathogenesis of AD and DM was revealed in our research. These common pathways and hub genes directions for further exploration of the pathogenesis or treatment of these two diseases.

Saponins of ginseng products: a review of their transformation in processing.

The primary processed product of Panax ginseng C.A. Meyer (P. ginseng) is red ginseng. As technology advances, new products of red ginseng have arisen. Red ginseng products, e.g., traditional red ginseng, sun ginseng, black ginseng, fermented red ginseng, and puffed red ginseng, are commonly used in herbal medicine. Ginsenosides are the major secondary metabolites of P. ginseng. The constituents of P. ginseng are significantly changed during processing, and several pharmacological activities of red ginseng products are dramatically increased compared to white ginseng. In this paper, we aimed to review the ginsenosides and pharmacological activities of various red ginseng products, the transformation law of ginsenosides in processing, and some clinical trials of red ginseng products. This article will help to highlight the diverse pharmacological properties of red ginseng products and aid in the future development of red ginseng industrialization.

Network Pharmacology-Based Strategy to Investigate the Pharmacologic Mechanisms of Coptidis Rhizoma for the Treatment of Alzheimer's Disease.

Background: Alzheimer's disease (AD) is becoming a more prevalent public health issue in today's culture. The experimental study of Coptidis Rhizoma (CR) and its chemical components in AD treatment has been widely reported, but the principle of multi-level and multi-mechanism treatment of AD urgently needs to be clarified. Objective: This study focuses on network pharmacology to clarify the mechanism of CR's multi-target impact on Alzheimer's disease. Methods: The Phytochemical-compounds of CR have been accessed from the Traditional Chinese Medicine Database and Analysis Platform (TCMSP) and Symmap database or HPLC determination. The values of Oral Bioavailability (OB) ≥ 30% and Drug Like (DL) ≥ 0.18 or blood ingredient were used to screen the active components of CR; the interactive network of targets and compounds were constructed by STRING and Cytoscape platform, and the network was analyzed by Molecular Complex Detection (MCODE); Gene Ontology (GO) function, Kyoto Encyclopedia of Genes and Genomes Pathway (KEGG) and metabolic pathway enrichment of targets were carried out with Metascape, the Database for Annotation, Visualization and Integrated Discovery (DAVID) and MetaboAnalyst platform; Based on CytoHubba, the potential efficient targets were screened by Maximal Clique Centrality (MCC) and Degree, the correlation between potential efficient targets and amyloid ß-protein (Aß), Tau pathology was analyzed by Alzdata database, and the genes related to aging were analyzed by Aging Altas database, and finally, the core targets were obtained; the binding ability between ingredients and core targets evaluated by molecular docking, and the clinical significance of core targets was assessed with Gene Expression Omnibus (GEO) database. Results: 19 active components correspond to 267 therapeutic targets for AD, of which 69 is potentially effective; in module analysis, RELA, TRAF2, STAT3, and so on are the critical targets of each module; among the six core targets, RELA, MAPK8, STAT3, and TGFB1 have clinical therapeutic significance; GO function, including 3050 biological processes (BP), 257 molecular functions (MF), 184 cellular components (CC), whose functions are mainly related to antioxidation, regulation of apoptosis and cell composition; the HIF-1 signaling pathway, glutathione metabolism is the most significant result of 134 KEGG signal pathways and four metabolic pathways, respectively; most of the active components have an excellent affinity in docking with critical targets. Conclusion: The pharmacological target prediction of CR based on molecular network pharmacology paves the way for a multi-level networking strategy. The study of CR in AD treatment shows a bright prospect for curing neurodegenerative diseases.