Time-series metabolomics insights into the progressive characteristics of 3,5-diethoxycarbonyl-1,4-dihydrocollidine-induced cholestatic liver fibrosis in mice

Quantitative proteomics reveals the protective effects of Yinchenzhufu decoction against cholestatic liver fibrosis in mice by inhibiting the PDGFRβ/PI3K/AKT pathway

Introduction: Yinchenzhufu decoction (YCZFD) is a traditional Chinese medicine formula with hepatoprotective effects. In this study, the protective effects of YCZFD against cholestatic liver fibrosis (CLF) and its underlying mechanisms were evaluated. Methods: A 3, 5-diethoxycarbonyl-1, 4-dihydro-collidine (DDC)-induced cholestatic mouse model was used to investigate the amelioration of YCZFD on CLF. Data-independent acquisition-based mass spectrometry was performed to investigate proteomic changes in the livers of mice in three groups: control, model, and model treated with high-dose YCZFD. The effects of YCZFD on the expression of key proteins were confirmed in mice and cell models. Results: YCZFD significantly decreased the levels of serum biochemical, liver injury, and fibrosis indicators of cholestatic mice. The proteomics indicated that 460 differentially expressed proteins (DEPs) were identified among control, model, and model treated with high-dose YCZFD groups. Enrichment analyses of these DEPs revealed that YCZFD influenced multiple pathways, including PI3K-Akt, focal adhesion, ECM-receptor interaction, glutathione metabolism, and steroid biosynthesis pathways. The expression of platelet derived growth factor receptor beta (PDGFRβ), a receptor associated with the PI3K/AKT and focal adhesion pathways, was upregulated in the livers of cholestatic mice but downregulated by YCZFD. The effects of YCZFD on the expression of key proteins in the PDGFRβ/PI3K/AKT pathway were further confirmed in mice and transforming growth factor-β-induced hepatic stellate cells. We uncovered seven plant metabolites (chlorogenic acid, scoparone, isoliquiritigenin, glycyrrhetinic acid, formononetin, atractylenolide I, and benzoylaconitine) of YCZFD that may regulate PDGFRβ expression. Conclusion: YCZFD substantially protects against DDC-induced CLF mainly through regulating the PDGFRβ/PI3K/AKT signaling pathway.

Identifying hepatoprotective mechanism and effective components of Yinchenzhufu decoction in chronic cholestatic liver injury using a comprehensive strategy based on metabolomics, molecular biology, pharmacokinetics, and cytology

ETHNOPHARMACOLOGICAL RELEVANCE

In Traditional Chinese Medicine (TCM), cholestasis liver disease belongs to jaundice. Yinchenzhufu decoction (YCZFD) is a classic formula used for treating jaundice.

AIM OF THE STUDY

This study was aimed to investigate the potential mechanism and effective components of YCZFD in chronic cholestatic liver injury (CCLI).

MATERIALS AND METHODS

A chronic cholestatic mouse model induced by 3, 5-diethoxycarbonyl-1, 4-dihydroxychollidine was used to investigate the effect of YCZFD. Then, metabolomics was used to investigate the metabolites influenced by YCZFD. Serum and liver bile acid (BA) levels were measured using liquid chromatography coupled with triple quadruple mass spectrometry (LC-MS/MS), and the gene and protein expressions of BA transporters and metabolic enzymes were detected. Additionally, the pharmacokinetics of multiple components of YCZFD was explored to clarify the potential effective components. The effects of absorbed components of YCZFD on BA metabolism and transporter function, inflammation, and farnesoid X receptor (FXR) and pregnane X receptor (PXR) activation were analyzed using sandwich cultured rat hepatocytes, AML12 cells, and dual-luciferase receptor systems, respectively.

RESULTS

YCZFD decreased the liver damage in chronic cholestatic mice. Serum metabolomics results indicated that the main pathways influenced by YCZFD involved primary BA biosynthesis and arachidonic acid metabolism. YCZFD upregulated the expression of FXR, PXR, and BA efflux transporters and the metabolic enzymes of liver tissues, promoting BA excretion and metabolism in cholestatic mice. Additionally, YCZFD downregulated the expression of genes and proteins of the toll-like receptor 4 (TLR4)/nuclear factor kappa-B (NF-κB) pathway and decreased liver inflammation. The pharmacokinetic study indicated that multiple components showed different pharmacokinetic properties. Among the absorbed components of YCZFD, multiple components activated the transcription of FXR and PXR, regulated BA transporters and metabolic enzyme function, and reduced the gene expression of TLR4 and NF-κB1.

CONCLUSION

YCZFD can ameliorate CCLI by promoting the excretion and metabolism of BAs and inhibiting inflammation via the TLR4/NF-κB signaling pathway. The multiple components of YCZFD could act on BA homeostasis regulation and anti-inflammation, exhibiting a combined effect against CCLI.

A Time-Series Metabolomic Analysis of SARS-CoV-2 Infection in a Ferret Model

The global threat of COVID-19 has led to an increased use of metabolomics to study SARS-CoV-2 infections in animals and humans. In spite of these efforts, however, understanding the metabolome of SARS-CoV-2 during an infection remains difficult and incomplete. In this study, metabolic responses to a SAS-CoV-2 challenge experiment were studied in nasal washes collected from an asymptomatic ferret model (n = 20) at different time points before and after infection using an LC-MS-based metabolomics approach. A multivariate analysis of the nasal wash metabolome data revealed several statistically significant features. Despite no effects of sex or interaction between sex and time on the time course of SARS-CoV-2 infection, 16 metabolites were significantly different at all time points post-infection. Among these altered metabolites, the relative abundance of taurine was elevated post-infection, which could be an indication of hepatotoxicity, while the accumulation of sialic acids could indicate SARS-CoV-2 invasion. Enrichment analysis identified several pathways influenced by SARS-CoV-2 infection. Of these, sugar, glycan, and amino acid metabolisms were the key altered pathways in the upper respiratory channel during infection. These findings provide some new insights into the progression of SARS-CoV-2 infection in ferrets at the metabolic level, which could be useful for the development of early clinical diagnosis tools and new or repurposed drug therapies.

Integrated Lipidomics and Metabolomics Study of Four Chemically Induced Mouse Models of Acute Intrahepatic Cholestasis

Lithocholic acid (LCA), alpha-naphthyl isothiocyanate (ANIT), 3,5-diethoxycarbonyl-1,4-dihydrocollidine (DDC), and ethinyl estradiol (EE) are four commonly used chemicals for the construction of acute intrahepatic cholestasis. In order to better understand the mechanisms of acute cholestasis caused by these chemicals, the metabolic characteristics of each model were summarized using lipidomics and metabolomics techniques. The results showed that the bile acid profile was altered in all models. The lipid metabolism phenotype of the LCA group was most similar to that of primary biliary cirrhosis (PBC) patients. The ANIT group and the DDC group had similar metabolic disorder characteristics, which were speculated to be related to hepatocyte necrosis and inflammatory pathway activation. The metabolic profile of the EE group was different from other models, suggesting that estrogen-induced cholestasis had its special mechanism. Ceramide and acylcarnitine accumulation was observed in all model groups, indicating that acute cholestasis was closely related to mitochondrial dysfunction. With a deeper understanding of the mechanism of acute intrahepatic cholestasis, this study also provided a reference for the selection of appropriate chemicals for cholestatic liver disease models.

An Intelligent Prediction for Sports Industry Scale Based on Time Series Algorithm and Deep Learning

Aiming at some existing issues in the sports industry, the existing model is optimized by deep learning and time series theory based on the relevant algorithm, and the scale of the sports industry is analyzed and predicted by the model. The results show the following: (1) Based on the single-step prediction of time series, MNTS structural algorithm can be used to describe and study the sports industry scale with the single factor, and the correlation fitting degree is high. (2) Curves of different evaluation methods can include parts linear stage and nonlinear stage according to the magnitude of change. (3) Seen from the optimization model in this paper, the proposed method can describe both global and local trends of data. (4) It can be seen from the prediction curve that the overall state of fluctuation indicates that time will have a great impact on the relevant scale of the sports industry. Compared with single-step prediction, the accuracy of multistep prediction is higher, and the multistep prediction model based on time series can well characterize and predict the scale of the sports industry. By using the relevant time algorithm, the sports industry scale can be predicted and analyzed so as to provide theoretical support for the formulation and implementation of relevant policies.

Network pharmacology analysis and molecular docking to unveil the potential mechanisms of San-Huang-Chai-Zhu formula treating cholestasis

Objective

Chinese medicine formulae possess the potential for cholestasis treatment. This study aimed to explore the underlying mechanisms of San-Huang-Chai-Zhu formula (SHCZF) against cholestasis.

Methods

The major chemical compounds of SHCZF were identified by high-performance liquid chromatography. The bioactive compounds and targets of SHCZF, and cholestasis-related targets were obtained from public databases. Intersected targets of SHCZF and cholestasis were visualized by Venn diagram. The protein-protein interaction and compound-target networks were established by Cytoscape according to the STRING database. The biological functions and pathways of potential targets were characterized by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis. The biological process-target-pathway network was constructed by Cytoscape. Finally, the interactions between biological compounds and hub target proteins were validated via molecular docking.

Results

There 7 major chemical compounds in SHCZF. A total of 141 bioactive compounds and 83 potential targets were screened for SHCZF against cholestasis. The process of SHCZF against cholestasis was mainly involved in AGE-RAGE signaling pathway in diabetic complications, fluid shear stress and atherosclerosis, and drug metabolism-cytochrome P450. ALB, IL6, AKT1, TP53, TNF, MAPK3, APOE, IL1B, PPARG, and PPARA were the top 10 hub targets. Molecular docking showed that bioactive compounds of SHCZF had a good binding affinity with hub targets.

Conclusions

This study predicted that the mechanisms of SHCZF against cholestasis mainly involved in AGE-RAGE signaling pathway in diabetic complications, fluid shear stress and atherosclerosis, and drug metabolism-cytochrome P450. Moreover, APOE, AKT1, and TP53 were the critical hub targets for bioactive compounds of SHCZF.

Gardenia jasminoides Ellis polysaccharide ameliorates cholestatic liver injury by alleviating gut microbiota dysbiosis and inhibiting the TLR4/NF-κB signaling pathway

Gardenia jasminoides Ellis is a well-known herbal medicine. In this study, the effect of G. jasminoides Ellis polysaccharide (GPS) on liver injury in an alpha-naphthylisothiocyanate (ANIT)-induced cholestatic mouse model and the associated molecular mechanisms were investigated. GPS administration dose-dependently ameliorated impaired hepatic function, including a 2-7-fold decrease in aminotransferase levels, ameliorating tissue damage, upregulating the expression of farnesoid X receptor (FXR) and pregnane X receptor (PXR) and their downstream efflux transporters, and decreasing the levels of 12 bile acids (BAs), in cholestatic mice. Furthermore, GPS ameliorated gut microbiota dysbiosis, improved intestinal barrier function, and reduced serum and hepatic lipopolysaccharide levels 1.5-fold. GPS also inhibited the Toll-like receptor 4 (TLR4)/nuclear factor kappa-B (NF-κB) signaling, decreased the expression of inflammatory factor genes, and ameliorated hepatic inflammation. Notably, fecal microbiota transplantation from GPS-fed mice also increased the hepatic expression of FXR, PXR, and efflux transporters; decreased the levels of 12 BAs; restored intestinal barrier function; and decreased hepatic inflammation mediated by the TLR4/NF-κB pathway. In conclusion, GPS has a protective effect against cholestatic liver injury through modulation of gut microbiota and inhibition of the TLR4/NF-κB pathway. Regulating gut microbiota using herbal medicine polysaccharides may hold unique therapeutic promise for cholestatic liver diseases.