Integrated systems toxicology approaches identified the possible involvement of ABC transporters pathway in erythromycin estolate-induced liver injury in rat

Aerobic composting of chicken manure with amoxicillin: Alpha diversity is closely related to lipid metabolism, and two-component systems mediating their relationship

Composting is a technology that can use various functional microorganisms to degrade antibiotics. However, antibiotics will cause a coercion for the growth of most microorganisms. Microorganism can survive different environments, thanks to the development of different adaptive responses. Often, two-component systems sense changes in the environment and trigger a cellular response and adaptation. Therefore, the main purpose of this study was to explore how the two-component system modulates the corresponding metabolic functions to affect alpha diversity during composting. The results show that amoxicillin increases species diversity, reduces species richness. Lipid metabolism is an important metabolic pathway mediating changes in alpha diversity. Two-component system indirectly affects alpha diversity by regulating lipid metabolism. Firmicutes are important microbial communities mediating changes in alpha diversity This work presents an understanding of the impact of environmental information processing on microbial diversity, during composting.

Identification of New Toxicity Mechanisms in Drug-Induced Liver Injury through Systems Pharmacology

Among adverse drug reactions, drug-induced liver injury presents particular challenges because of its complexity, and the underlying mechanisms are still not completely characterized. Our knowledge of the topic is limited and based on the assumption that a drug acts on one molecular target. We have leveraged drug polypharmacology, i.e., the ability of a drug to bind multiple targets and thus perturb several biological processes, to develop a systems pharmacology platform that integrates all drug–target interactions. Our analysis sheds light on the molecular mechanisms of drugs involved in drug-induced liver injury and provides new hypotheses to study this phenomenon.

Metabonomics Study on the hepatoprotective effect mechanism of polysaccharides from different processed products of Angelica Sinensis on the layer chickens based on UPLC-Q/TOF-MS/MS, multivariate statistical analysis and conjoint analysis

Chicken colibacillosis is one of the most severe diseases in the poultry industry. Ceftiofur sodium (CS) is often used to treat it in clinical practice and lipopolysaccharide (LPS) accumulates in the chicken's body. Previous experimental studies found that CS combined with LPS could induce liver injury in layer chickens, and polysaccharides from charred Angelica sinensis(CASP) had a better hepatoprotective effect than polysaccharides from unprocessed Angelica sinensis(UASP). However, the intervention mechanism was unclear. Thus, UPLC–Q/TOF–MS/MS‐based metabonomics and transcriptomics were used in this study to clarify the hepatoprotective effect mechanism of CASP and UASP in layer chickens. Transcriptomics and enzyme‐linked immunosorbent assay were used for biological verification of some critical mutual metabolic pathways screened with metabonomics. The comprehensive analysis results showed that in a layer chicken liver injury model built with LPS and CS, 12 critical metabolic pathways were disturbed, involving 10 important differential metabolites. The hepatoprotective effect mechanism of CASP is related to the arachidonic acid metabolism and mTOR signaling pathways, involving nine important differential metabolites. In contrast, the hepatoprotective effect mechanism of UASP is related to the arachidonic acid metabolism pathway, involving six important differential metabolites.

Metabolomics profiling in a mouse model reveals protective effect of Sancao granule on Con A-Induced liver injury

ETHNOPHARMACOLOGICAL RELEVANCE

Sancao granule (SCG) is a traditional Chinese herb formula, which has been used for autoimmune liver disease for decades. Previous study demonstrated that there was an exactly therapeutic effect of SCG on autoimmune hepatitis (AIH) by improving liver function and alleviating the clinical symptoms. However, studies of the mechanism by which SCG alleviates Con A-induced liver injury (CILI) should be complemented.

MATERIALS AND METHODS

An ultraperformance liquid chromatography with quadrupole time-of-flight mass spectrometry (UHPLC-QTOF/MS)-based metabolomics approach combined with principle component analysis (PCA) and orthogonal projection to latent structures discriminate analysis (OPLS-DA) were integrated applied to obtain metabolites for clarifying mechanisms of disease.

RESULTS

In accordance with previously study, the present study demonstrated that SCG could obviously improve the liver injury in mouse induced by Con A via downregulating serum biochemical indexes, alleviating the histological damage and inhibiting the neutrophil infiltration in liver tissues. Different expression of 9 metabolites related to 8 pathways, including fatty acid biosynthesis, arachidonic acid metabolisms, linoleic acid metabolisms, sphingolipid metabolisms, fatty acid elongation in mitochondria, glycerophospholipid metabolism, fatty acid metabolism, pyrimidine metabolism were demonstrated responsible for the efficacy of SCG in treating CILI.

CONCLUSION

In sum up, SCG has been indicated favorable therapeutic effect on Con A induced liver injury. And metabolomics could be a promising approach, which provide insights into mechanisms of SCG in treating CILI.

In silico Identification and Mechanism Exploration of Hepatotoxic Ingredients in Traditional Chinese Medicine

Backgrounds and Aims

Recently, a growing number of hepatotoxicity cases aroused by Traditional Chinese Medicine (TCM) have been reported, causing increasing concern. To date, the reported predictive models for drug induced liver injury show low prediction accuracy and there are still no related reports for hepatotoxicity evaluation of TCM systematically. Additionally, the mechanism of herb induced liver injury (HILI) still remains unknown. The aim of the study was to identify potential hepatotoxic ingredients in TCM and explore the molecular mechanism of TCM against HILI.

Materials and Methods

In this study, we developed consensus models for HILI prediction by integrating the best single classifiers. The consensus model with best performance was applied to identify the potential hepatotoxic ingredients from the Traditional Chinese Medicine Systems Pharmacology database (TCMSP). Systems pharmacology analyses, including multiple network construction and KEGG pathway enrichment, were performed to further explore the hepatotoxicity mechanism of TCM.

Results

16 single classifiers were built by combining four machine learning methods with four different sets of fingerprints. After systematic evaluation, the best four single classifiers were selected, which achieved a Matthews correlation coefficient (MCC) value of 0.702, 0.691, 0.659, and 0.717, respectively. To improve the predictive capacity of single models, consensus prediction method was used to integrate the best four single classifiers. Results showed that the consensus model C-3 (MCC = 0.78) outperformed the four single classifiers and other consensus models. Subsequently, 5,666 potential hepatotoxic compounds were identified by C-3 model. We integrated the top 10 hepatotoxic herbs and discussed the hepatotoxicity mechanism of TCM via systems pharmacology approach. Finally, Chaihu was selected as the case study for exploring the molecular mechanism of hepatotoxicity.

Conclusion

Overall, this study provides a high accurate approach to predict HILI and an in silico perspective into understanding the hepatotoxicity mechanism of TCM, which might facilitate the discovery and development of new drugs.

Serum Metabolomic Profiling in a Rat Model Reveals Protective Function of Paeoniflorin Against ANIT Induced Cholestasis

Cholestasis is a leading cause of hepatic accumulation of bile acids resulting in liver injury, fibrosis, and liver failure. Paeoniflorin displays bright prospects in liver protective effect. However, its molecular mechanism has not been well-explored. This study was designed to assess the effects and possible mechanisms of paeoniflorin against alpha-naphthylisothiocyanate-induced liver injury. Ultraperformance liquid chromatography coupled with quadrupole time-of-flight combined with principle component analysis and partial least squares discriminant analysis were integrated to obtain differentiating metabolites for the pathways and clarify mechanisms of disease. The results indicated that paeoniflorin could remarkably downregulate serum biochemical indexes and alleviate the histological damage of liver tissue. Different expression of 14 metabolites demonstrated that paeoniflorin mainly regulated the dysfunctions of glycerophospholipid metabolism and primary bile acid biosynthesis. Moreover, several pathways such as arginine and proline metabolism, ether lipid metabolism, and arachidonic acid metabolism were also related to the efficacy. In conclusion, paeoniflorin has indicated favorable pharmacological effect on serum biochemical indexes and pathological observation on cholestatic model. And metabolomics is a promising approach to unraveling hepatoprotective effects by partially regulating the perturbed pathways, which provide insights into mechanisms of cholestasis.

Systems Biology and Synthetic Biology: A New Epoch for Toxicology Research

Systems biology and synthetic biology are emerging disciplines which are becoming increasingly utilised in several areas of bioscience. Toxicology is beginning to benefit from systems biology and we suggest in the future that is will also benefit from synthetic biology. Thus, a new era is on the horizon. This review illustrates how a suite of innovative techniques and tools can be applied to understanding complex health and toxicology issues. We review limitations confronted by the traditional computational approaches to toxicology and epidemiology research, using polycyclic aromatic hydrocarbons (PAHs) and their effects on adverse birth outcomes as an illustrative example. We introduce how systems toxicology (and their subdisciplines, genomic, proteomic, and metabolomic toxicology) will help to overcome such limitations. In particular, we discuss the advantages and disadvantages of mathematical frameworks that computationally represent biological systems. Finally, we discuss the nascent discipline of synthetic biology and highlight relevant toxicological centred applications of this technique, including improvements in personalised medicine. We conclude this review by presenting a number of opportunities and challenges that could shape the future of these rapidly evolving disciplines.

Revealing the mechanism of Fructus meliae toosendan-induced liver injury in mice by integrating microRNA and mRNA-based toxicogenomics data

Fructus meliae toosendan-induced liver injury in mice was investigated by integrating the data from miroRNA and mRNA expression profiles combined with the general toxicological assessments method.