[Comparison on distribution of 8 components from ethanol extract of Psoraleae Fructus between normal and lipopolysaccharide-induced model rats].

UPLC-TQ/MS was employed to determine the content of 8 main components(psoralen, isopsoralen, psoralenoside, isopsoralenoside, bavachin, psoralidin, corylin, and neobavaisoflavone) in tissues of normal and lipopolysaccharide(LPS)-induced model rats 0.5, 1, 2, 6, and 12 h after intragastric administration of 3.6 g·kg~(-1) ethanol extract of Psoraleae Fructus. The distribution characteristics of the 8 main components in the different tissues(liver, kidney, spleen, heart, and lung) were studied and compared. The results showed that the distribution behaviors of the components varied among different tissues. At different time points, the components presented wide and uneven distribution in the body. Liver and kidney had higher content of the components, followed by spleen, heart, and lung. In both normal and LPS-induced model rats, the content of the 8 main components was higher in liver and kidney and varied significantly among different tissues. The content of psoralen in the tissues of LPS-induced model rat was significantly higher than that of the normal group 12 h after administration. The reason may be that the modeling slowed down the absorption and distribution of psoralen. The LPS-induced model rats had higher content of psoralenoside and isopsoralenoside in the liver tissue than the normal rats, which indicated that the modeling increased the absorption and distribution of psoralenoside and isopsoralenoside in the liver tissue. Further, it is hypothesized that psoralenoside and isopsoralenoside may be toxic substances of Psoraleae Fructus-induced liver injury.

A gene expression profile-based approach to screen the occurrence and predisposed host characteristics of drug-induced liver injury: a case study of Psoralea corylifolia Linn.

Drug-induced liver injury (DILI) is one of the most common causes of a drug being withdrawn, and identifying the culprit drugs and the host factors at risk of causing DILI has become a current challenge. Recent studies have found that immune status plays a considerable role in the development of DILI. In this study, DILI-related differentially expressed genes mediated by immunoinflammatory cytokines were obtained from the Gene Expression Omnibus (GEO) database to predict the occurrence of DILI (named the DILI predictive gene set, DILI_PGS), and the predictability of the DILI_PGS was verified using the Connectivity Map (CMap) and LiverTox platforms. The results obtained DILI_PGS from the GEO database could predict 81.25% of liver injury drugs. In addition, the Coexpedia platform was used to predict the DILI_PGS-related characteristics of common host diseases and found that the DILI_PGS mainly involved immune-related diseases and tumor-related diseases. Then, animal models of immune stress (IS) and immunosuppressive (IP) were selected to simulate the immune status of the above diseases. Meanwhile, psoralen, a main component derived from Psoralea corylifolia Linn. with definite hepatotoxicity, was selected as an experimental drug with highly similar molecular fingerprints to three idiosyncratic hepatotoxic drugs (nefazodone, trovafloxacin, and nimesulide) from the same DILI_PGS dataset. The animal experiment results found a single administration of psoralen could significantly induce liver injury in IS mice, while there was no obvious liver function change in IP mice by repeatedly administering the same dose of psoralen, and the potential mechanism of psoralen-induced liver injury in IS mice may be related to regulating the expression of the TNF-related pathway. In conclusion, this study constructed the DILI_PGS with high accuracy to predict the occurrence of DILI and preliminarily identified the characteristics of host factors inducing DILI.

Oxymatrine ameliorates experimental autoimmune encephalomyelitis by rebalancing the homeostasis of gut microbiota and reducing blood-brain barrier disruption.

Background: Increasing evidence suggests that gut dysbiosis can directly or indirectly affect the immune system through the brain-gut axis and play a role in the occurrence and development of Multiple sclerosis (MS). Oxymatrine (OMAT) has been shown to ameliorate the symptoms of MS in the classical experimental autoimmune encephalomyelitis (EAE) model of MS, but whether its therapeutic role is through the correction of gut dysbiosis, is unclear. Methods: The effects of OMAT on intestinal flora and short-chain fatty acids in EAE model mice were evaluated by 16S rRNA sequencing and GC-MS/MS, respectively, and the function change of the blood-brain barrier and intestinal epithelial barrier was further tested by immunohistochemical staining, Evans Blue leakage detection, and RT-qPCR. Results: The alpha and beta diversity in the feces of EAE mice were significantly different from that of the control group but recovered substantially after OMAT treatment. Besides, the OMAT treatment significantly affected the gut functional profiling and the abundance of genes associated with energy metabolism, amino acid metabolism, the immune system, infectious diseases, and the nervous system. OMAT also decreased the levels of isobutyric acid and isovaleric acid in EAE mice, which are significantly related to the abundance of certain gut microbes and were consistent with the reduced expression of TNF-a, IL-6, and IL-1b. Furthermore, OMAT treatment significantly increased the expression of ZO-1 and occludin in the brains and colons of EAE mice and decreased blood-brain barrier permeability. Conclusion: OMAT may alleviate the clinical and pathological symptoms of MS by correcting dysbiosis, restoring gut ecological and functional microenvironment, and inhibiting immune cell-mediated inflammation to remodel the brain-gut axis.

Study on the mechanism of ErtongKe granules in the treatment of cough using network pharmacology and molecular docking technology.

BACKGROUND: The etiology and pathogenesis of cough are complex. As a Chinese patent medicine that has been on the market, ErtongKe (ETK) granules have a good effect in treating acute and chronic cough in children. The purpose of this research was to determine the bioactive components and possible action mechanisms of ETK in the treatment of cough using an integrated network pharmacology method. METHODS: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) and Swiss target prediction databases were used to screen the potential components and associated targets of ETK. The Genecards database was then used to gather targets interacting with cough. An analysis of the signaling pathways associated with ETK for cough treatment was carried out using the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) enrichment analysis methods. Cytoscape 3.8.1 was used to design the protein-protein interaction (PPI) and compound-target-pathway networks. Finally, the important genes and active components of ETK were confirmed using Auto Dock vina and Discovery studio software. RESULTS: Total 242 active components of ETK were screened, 1,173 potential targets related to the ingredients and 4,400 targets related to cough were collected separately. Moreover, 600 candidate targets and 39 signaling pathways were determined. We also screened out the following core components, including tuberostemonone, quercetin, kaempferol, praeruptorin E, stigmasterol, oroxylin A, and other potentially active ingredients. At the same time, 8 core targets, including JUN, PIK3CA, PIK3R1, MAPK14, EGFR, SRC, AKT1, and MAPK1, and 20 key pathways, including the cAMP signaling pathway, calcium signaling pathway, and PI3K-Akt signaling pathway among others, were also selected. All the 8 core targets were verified by molecular docking. CONCLUSIONS: This research established that ETK exerts anti-cough activity by modulating several targets and pathways through multiple components. Additionally, the pooled results shed light on ETK compounds being investigated as potential antitussives.