The immunoenhancement effects of sea buckthorn pulp oil in cyclophosphamide-induced immunosuppressed mice.

In this study, the immunomodulatory effect of sea buckthorn (SBT) pulp oil was elucidated in immunosuppressed Balb/c mice induced by cyclophosphamide (CTX). The results showed that SBT pulp oil could reverse the decreasing trend of body weight, thymus/spleen index and hematological parameters induced by CTX. Compared with immunosuppressive mice induced by CTX, SBT pulp oil could enhance NK cytotoxicity, macrophage phagocytosis, and T lymphocyte proliferation, and regulate the proportion of T cell subsets in mesenteric lymph nodes (MLN), and promote the production of secretory immunoglobulin A (sIgA), IFN-γ, IL-2, IL-4, IL-12 and TNF-α in the intestines. In addition, SBT pulp oil can promote the production of short fatty acids (SCFAs), increase the diversity of gut microbiota, improve the composition of intestinal flora, increase the abundance of Alistipes, Bacteroides, Anaerotruncus, Lactobacillus, ASF356, and Roseburia, while decreasing the abundance of Mucispirillum, Anaeroplasma, Pelagibacterium, Brevundimonas, Ochrobactrum, Acinetobacter, Ruminiclostridium, Blautia, Ruminiclostridium, Oscillibacter, and Faecalibaculum. This study shows that SBT pulp oil can regulate the diversity and composition of intestinal microflora in CTX-induced immunosuppressive Balb/c mice, thus enhancing the intestinal mucosa and systemic immune response. The results can provide a basis for understanding the function of SBT pulp oil and its application as a new probiotic and immunomodulator.

Construction of Metabolism Prediction Models for CYP450 3A4, 2D6, and 2C9 Based on Microsomal Metabolic Reaction System.

During the past decades, there have been continuous attempts in the prediction of metabolism mediated by cytochrome P450s (CYP450s) 3A4, 2D6, and 2C9. However, it has indeed remained a huge challenge to accurately predict the metabolism of xenobiotics mediated by these enzymes. To address this issue, microsomal metabolic reaction system (MMRS)-a novel concept, which integrates information about site of metabolism (SOM) and enzyme-was introduced. By incorporating the use of multiple feature selection (FS) techniques (ChiSquared (CHI), InfoGain (IG), GainRatio (GR), Relief) and hybrid classification procedures (Kstar, Bayes (BN), K-nearest neighbours (IBK), C4.5 decision tree (J48), RandomForest (RF), Support vector machines (SVM), AdaBoostM1, Bagging), metabolism prediction models were established based on metabolism data released by Sheridan et al. Four major biotransformations, including aliphatic C-hydroxylation, aromatic C-hydroxylation, N-dealkylation and O-dealkylation, were involved. For validation, the overall accuracies of all four biotransformations exceeded 0.95. For receiver operating characteristic (ROC) analysis, each of these models gave a significant area under curve (AUC) value >0.98. In addition, an external test was performed based on dataset published previously. As a result, 87.7% of the potential SOMs were correctly identified by our four models. In summary, four MMRS-based models were established, which can be used to predict the metabolism mediated by CYP3A4, 2D6, and 2C9 with high accuracy.

[Mechanism of anti-aging therapy on Parkinson's disease].

Many studies have shown that anti-aging treatment has value to prevention and treatment of some diseases. For the treatment of Parkinson' s disease, clinical and experimental researches have proved the potential value of anti-aging treatment, yet the mechanism remains unclear. For this reason, this work used the anti-aging prescriptions of Buyang Huanwu decoction in traditional Chinese medicines example to discover the anti-aging treatment mechanism on Parkinson's disease. The results showed that the mechanism of mitochondrial damage, apoptosis, free radicals and oxidative stress could contribute to the treatment of Parkinson' s disease. Buyang Huanwu decoction is more than as the carrier in this article, the discovered anti-aging treatment mechanism Parkinson's disease is not confined to Buyang Huanwu decoction, could also be used to understand the anti-aging treatment mechanism using other prescription. The main contribution of this paper is to clarify the mechanism of anti-aging treatment of Parkinson's disease, and provide a new strategy for the treatment and prevention of Parkinson's disease.

[Elucidating hypoglycemic mechanism of Dendrobium nobile through auxiliary elucidation system for traditional Chinese medicine mechanism].

To build the Dendrobium nobile -T2DM network, and elucidate the molecular mechanism of D. nobile to type 2 diabetes (T2DM). Collect the chemical composition of D. nobile and the targets on T2DM by retrieving database and documents, build the network of D. nobile to T2DM using the entity grammar systems inference rules. The molecular mechanism of D. nobile to T2DM includes: (1) regulating lipid metabolism by lowering triglyceride; (2) reducing insulin resistance; (3) protecting islet cells; (4) promoting the glucose-dependent insulin tropic peptide (GIP) secretion; (5) inhibiting calcium channel. Under the guidance of network pharmacology, through entity grammar systems inference rules we elucidate the molecular mechanism of D. nobile to T2DM, and provide the basis for the further development of health care products based on D. nobile.

[Study on mechanism of Salvia miltiorrhiza treating cardiovascular disease through auxiliary mechanism elucidation system for Chinese medicine].

Salvia miltiorrhiza is a traditional Chinese medicine (TCM) and is widely used as a clinically medication for its efficiency in treating cardiovascular disease. Due to TCM is a comprehensive system, the mechanism of S. miltiorrhiza treating cardiovascular disease through integrated multiple pathways are still unclear in some aspects. With the rapid progress of bioinformatics and systems biology, network pharmacology is considered as a promising approach toward reveal the underlying complex relationship between an herb and the disease. In order to discover the mechanism of S. miltiorrhiza treating cardiovascular disease systematically, we use the auxiliary mechanism elucidation system for Chinese medicine, built up a molecule interaction network on the active component targets of S. miltiorrhiza and the therapeutic targets of cardiovascular disease to offer an opportunity for deep understanding the mechanism of S. miltiorrhiza treating cardiovascular disease from the perspective of network pharmacology. The results showed that S. miltiorrhiza treating cardiovascular disease through ten pathways as follows: improve lipid metabolism, anti-inflammation, regulate blood pressure, negatively regulates blood coagulation factor and antithrombotic, regulate cell proliferation, anti-stress injury, promoting angiogenesis, inhibited apoptosis, adjust vascular systolic and diastolic, promoting wound repair. The results of this paper provide theoretical guidance for the development of new drugs to treat cardiovascular disease and the discovery of new drugs through component compatibility.

[Study on mechanism for anti-hypertension efficacy of Eucommiae Cortex through assistant analysis systems for acting mechanisms of traditional Chinese medicine].

Elucidate the mechanism of Eucommiae Cortex in treatment of hypertension, to provide the basis for further research and development of Eucommiae Cortex. Our study using the entity grammar systems inference rules to analyse the interactions of chemical constituents of Eucommiae Cortex and disease target proteins at the molecular level, and got a biological network of Eucommiae Cortex anti-hypertension which inciude 602 nodes and 2 354 edges. We got 3 treatment of hypertension pathways of Eucommiae Cortex by analyzing biological network, that is, by inhibition of vascular remodeling to improve the deterioration of hypertension, reduce activity of polymorphism genetic genes related to essential hypertension, inhibition of carbonic anhydrase 1 to maintain the osmotic pressure, Eucommiae Cortex play the role of anti-hypertension.

[Study on mechanism for anti-depression efficacy of Sini San through auxiliary mechanism elucidation system for Chinese medicine].

As regulating the function of the liver and spleen of the famous traditional formula, Sini San is widely used in the treatment of various diseases caused by liver depression and Qi stagnation, and its efficacy is significant clinically. Recently it is discovered that Sini San is effective in the treatment of nervous system diseases such as depression. Furthermore, there is a lot of literature about the effect of Sini San on the molecular mechanism of antidepressant. However, the anti-depression mechanism of Sini San is not very clear, in our present study, based on the auxiliary mechanism elucidation system for Chinese medicine and network pharmacology system to construct the chemical ingredients of the target interactions and disease-related protein of the interaction network. Results show that there are 263 chemical ingredients and 19 corresponding targets of depression in Sini San network. Sini San can anti-depressant effect through G-protein coupled receptor protein signaling pathway, cAMP system, neurological system process and neurotransmitter secretion, inflammatory response, neuroendocrine, metal ion transport and so on. These studies provided valuable clues for the mechanism and treatment of anti-depressant.