Study on the Effect and Mechanism of Huaji Jianpi Decoction on Simple Obesity.

Background: As the major type of obesity in clinical, simple obesity has gained increasing attention in recent years. Depending on the etiology and pathogenesis of simple obesity and combined with clinical practice experience, Huaji Jianpi decoction (HJJPD) was established to invigorate the spleen and eliminate dampness; however, the underlying molecular mechanism is yet unclear. Materials and Methods: A simple obesity mouse model was established by feeding a high-fat diet to the animals, and the related indexes were analyzed. The mice were divided into the normal, positive control (orlistat), and HJJPD high-dose, medium-dose, and low-dose groups. After 6 weeks of administration, the curative effect of HJJPD was observed. Simple obesity is associated with leptin resistance. The leptin signal transduction pathways mainly include the JAK2-STAT3, AMPK-ACC, LepRb-IRS-PI3K-PDE3B-cAMP, and LepRb-SHP2-MAPKs (ERK1/2) pathways. Therefore, the networks of HJJPD acting on these four pathway-related targets were constructed using the network pharmacology method, and the key nodes were identified. Results: After 6 weeks of drug intervention, we found a good therapeutic effect of HJJPD on simple obesity in the mouse model. The biological network analysis showed that HJJPD plays a role in treating leptin resistance in simple obesity by acting on multiple targets in the JAK2-STAT3 pathway via various components. Also, HJJPD can improve leptin resistance in mice by enhancing the binding force of LEP and LEPRB and activating the LEP-mediated JAK2-STAT3 signaling pathway. Conclusion: In this study, animal experiments, network pharmacology, and molecular biology were combined to establish a mouse model of simple obesity, confirm the role of HJJPD in the treatment of simple obesity, and preliminarily reveal the related mechanism. Relevant research results will provide a basis for the treatment of simple obesity and the drug discovery.

Study on the Antibreast Cancer Mechanism and Bioactive Components of Si-Wu-Tang by Cell Type-Specific Molecular Network.

Si-Wu-Tang (SWT), a traditional Chinese herbal formula, has shown an effect on antibreast cancer. However, the mechanisms and bioactive components of SWT are still unclear. Fortunately, cell type-specific molecular network has provided an effective method. This study integrated the data of formula components, all types of biomolecules in the human body, and nonexpressed protein in breast cancer cells and constructed the breast cancer cell network and the biological network that SWT acted on the breast cancer-related targets by Entity Grammar System (EGS). Biological network showed 59 bioactive components acting on 15 breast cancer-related targets. The antibreast cancer mechanisms were summarized by enrichment analysis: regulation of cell death, response to hormone stimulation, response to organic substance, regulation of phosphorylation of amino acids, regulation of cell proliferation, regulation of signal transmission, and affection of gland development. In addition, we discovered that verbascoside played the role of antibreast cancer by inhibiting cell proliferation, but there was not a report on this effect. The results of CCK8 and western blot were consistent with the antibreast cancer effect of verbascoside based on biological network. Biological network modeling by EGS and network analysis provide an effective way for uncovering the mechanism and identifying the bioactive components of SWT.

Significance of the neutrophil-to-lymphocyte ratio in young patients with oral squamous cell carcinoma.

BACKGROUND: The main goal of this study was to evaluate the prognosis of young patients with oral squamous cell carcinoma (SCC) with a focus on the value of the pretreatment neutrophil-to-lymphocyte ratio (NLR). MATERIALS AND METHODS: Young (≤40 years old) patients with oral SCC were retrospectively enrolled, and each young patient was matched with an old (≥60 years old) oral SCC patient. Associations between the NLR and clinicopathological variables were analyzed by the chi-square test, and the Kaplan-Meier method was used to analyze recurrence-free survival (RFS) and disease-specific survival (DSS) rates. RESULTS: A total of 103 young patients were enrolled, and compared to the old group, the young group had a significantly lower NLR value (p=0.012). In the young group, the 5-year RFS and DSS rates were 82% and 85%, respectively. In the old group, the 5-year RFS and DSS rates were 65% and 71%, respectively, and the differences between the groups were significant (both p<0.05). In the young patients with an NLR≤2.56, the 5-year DSS rate was 93%, while in the young patients with an NLR >2.56, the 5-year DSS rate was 76%. This difference was significant (p=0.020). A further Cox model analysis confirmed that the NLR was an independent prognostic factor for DSS. CONCLUSION: Young patients with oral SCC have a better prognosis than old oral SCC patients, and the NLR is significantly associated with DSS in young patients.

Tanshinone prevents alveolar bone loss in ovariectomized osteoporosis rats by up-regulating phosphoglycerate dehydrogenase.

Osteoporosis is manifested by reduced bone mass. Tanshinone has been shown to affect osteoclast differentiation, but its role in osteoporosis remains less clear. This study aimed to investigate the effects and molecular mechanisms of tanshinone on osteoporosis. Osteoporosis was induced by bilateral ovariectomy (OVX) in adult female rats treated with or without tanshinone. Trabecular bone structure was assessed by micro-computed tomography (micro-CT). Bone marrow stromal cells (BMSCs) were isolated for analysis of stemness and senescence. mRNA levels of age related genes were examined and the role of the gene that was upregulated by tanshinone treatment was suppressed to determine its involvement in tanshinone mediated effects. Finally, the mechanism underlying tanshinone induced gene upregulation was explored. We found that tanshinone treatment restored alveolar bone structure in OVX rats as well as the stemness and senescence status of BMSCs isolated from OVX rats. Tanshinone upregulated Phgdh mRNA levels and inhibition of phosphoglycerate dehydrogenase Phgdh, the protein encoded by the Phgdh gene, abolished the effects of tanshinone on BMSC stemness and senescence. Finally, we found that OVX lead to hypermethylation of the promoter region of Phgdh which was suppressed by tanshinone treatment. Our study shows that tanshinone potently suppress OVX induced osteoporosis and BMSC senescence through upregulation of PHGDH.

GEPSI: A Gene Expression Profile Similarity-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula.

The identification of bioactive components in traditional Chinese medicine (TCM) is an important part of the TCM material foundation research. Recently, molecular docking technology has been extensively used for the identification of TCM bioactive components. However, target proteins that are used in molecular docking may not be the actual TCM target. For this reason, the bioactive components would likely be omitted or incorrect. To address this problem, this study proposed the GEPSI method that identified the target proteins of TCM based on the similarity of gene expression profiles. The similarity of the gene expression profiles affected by TCM and small molecular drugs was calculated. The pharmacological action of TCM may be similar to that of small molecule drugs that have a high similarity score. Indeed, the target proteins of the small molecule drugs could be considered TCM targets. Thus, we identified the bioactive components of a TCM by molecular docking and verified the reliability of this method by a literature investigation. Using the target proteins that TCM actually affected as targets, the identification of the bioactive components was more accurate. This study provides a fast and effective method for the identification of TCM bioactive components.

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.

ITPI: Initial Transcription Process-Based Identification Method of Bioactive Components in Traditional Chinese Medicine Formula.

Identification of bioactive components is an important area of research in traditional Chinese medicine (TCM) formula. The reported identification methods only consider the interaction between the components and the target proteins, which is not sufficient to explain the influence of TCM on the gene expression. Here, we propose the Initial Transcription Process-based Identification (ITPI) method for the discovery of bioactive components that influence transcription factors (TFs). In this method, genome-wide chip detection technology was used to identify differentially expressed genes (DEGs). The TFs of DEGs were derived from GeneCards. The components influencing the TFs were derived from STITCH. The bioactive components in the formula were identified by evaluating the molecular similarity between the components in formula and the components that influence the TF of DEGs. Using the formula of Tian-Zhu-San (TZS) as an example, the reliability and limitation of ITPI were examined and 16 bioactive components that influence TFs were identified.

A Network Pharmacology Approach to Uncover the Pharmacological Mechanism of XuanHuSuo Powder on Osteoarthritis.

As the most familiar type of arthritis and a chronic illness of the joints, Osteoarthritis (OA) affects a great number of people on the global scale. XuanHuSuo powder (XHSP), a conventional herbal formula from China, has been extensively applied in OA treatment. Nonetheless, its pharmacological mechanism has not been completely expounded. In this research, a network pharmacology approach has been chosen to study the pharmacological mechanism of XHSP on OA, and the pharmacology networks were established based on the relationship between four herbs found in XHSP, compound targets, and OA targets. The pathway enrichment analysis revealed that the significant bioprocess networks of XHSP on OA were regulation of inflammation, interleukin-1ß (IL-1ß) production and nitric oxide (NO) biosynthetic process, response to cytokine or estrogen stimuli, and antiapoptosis. These effects have not been reported previously. The comprehensive network pharmacology approach developed by our research has revealed, for the first time, a connection between four herbs found in XHSP, corresponding compound targets, and OA pathway systems that are conducive to expanding the clinical application of XHSP. The proposed network pharmacology approach could be a promising complementary method by which researchers might better evaluate multitarget or multicomponent drugs on a systematic level.

Study on active ingredient and mechanism in preventing vascular dementia of Tianzhusan coming from Tujia medicine.

To make clear of the absorbed components of Tianzhusan (TZS) and its possible mechanism in preventing vascular dementia (VD), the rats' models of VD were prepared by a permanent ligation of the bilateral common carotid arteries. After 60 days, rats were administrated with TZS for 0.1 g x kg(-1), and the volume is 0.02 mL x g(-1). After 3 days, the medicated serum was prepared and detected by UPLC, and then we predicted the possible chemical structure of the absorbed components of TZS. According to the absorbed components, the potential targets of TZS were found by ligand profiling of Discovery Studio 3.5. All of these target genes were submitted to DAVID onine for gene set enrichment analysis (GSEA). The 5 absorbed components of TZS have been predicted, and four of them have been identified as parishin B, parishin C, parishin, pennogenin-3-O-alpha-L-rhamnopyranosy-(1-->2)-beta-D-glucoside. Through reverse finding targets, we got 861 pharmacophore models and 9 pathways from KEGG, BIOCARTA after document verification. These results showed that the efficacy mechanism of TZS on VD perhaps were be related with these absorbed components and pathways. If the traditional herbs could be proved effective by efficacy tests, the serum pharmacochemistry, computer-aided drug design, system biology and other technologies can be used in the next experiments, which will be beneficial to fast discovery of material basis and mechanisms of traditional medicine coming form ethnic minorities.

Using Bioinformatics Approach to Explore the Pharmacological Mechanisms of Multiple Ingredients in Shuang-Huang-Lian.

Due to the proved clinical efficacy, Shuang-Huang-Lian (SHL) has developed a variety of dosage forms. However, the in-depth research on targets and pharmacological mechanisms of SHL preparations was scarce. In the presented study, the bioinformatics approaches were adopted to integrate relevant data and biological information. As a result, a PPI network was built and the common topological parameters were characterized. The results suggested that the PPI network of SHL exhibited a scale-free property and modular architecture. The drug target network of SHL was structured with 21 functional modules. According to certain modules and pharmacological effects distribution, an antitumor effect and potential drug targets were predicted. A biological network which contained 26 subnetworks was constructed to elucidate the antipneumonia mechanism of SHL. We also extracted the subnetwork to explicitly display the pathway where one effective component acts on the pneumonia related targets. In conclusions, a bioinformatics approach was established for exploring the drug targets, pharmacological activity distribution, effective components of SHL, and its mechanism of antipneumonia. Above all, we identified the effective components and disclosed the mechanism of SHL from the view of system.

[Construction of automatic elucidation platform for mechanism of traditional Chinese medicine].

Aim at the two problems in the field of traditional Chinese medicine (TCM) mechanism elucidation, one is the lack of detailed biological processes information, next is the low efficient in constructing network models, we constructed an auxiliary elucidation system for the TCM mechanism and realize the automatic establishment of biological network model. This study used the Entity Grammar Systems (EGS) as the theoretical framework, integrated the data of formulae, herbs, chemical components, targets of component, biological reactions, signaling pathways and disease related proteins, established the formal models, wrote the reasoning engine, constructed the auxiliary elucidation system for the TCM mechanism elucidation. The platform provides an automatic modeling method for biological network model of TCM mechanism. It would be benefit to perform the in-depth research on TCM theory of natures and combination and provides the scientific references for R&D of TCM.

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

Rhubarb is a traditional Chinese medicine (TCM), wildly used in treating the disease of hyperlipidemia. However, its components are complicated, so that it is still difficult to clear the specific roles of its various components in blood lipids regulation in. So we decide to systematically study the anti- hyperlipidemia mechanism of rhubarb. We integrated multiple databases, based on entity grammar systems model, constructed molecular interaction network between the chemical constituents of rhubarb and hyperlipidemia. The network includes 231 nodes and 638 edges. Thus we infer the interactions of active targets and disease targets to clarify the anti-hyperlipidemia mechanism. And find that rhubarb can promote excretion of cholesterol; inhibit clotting factors and improve blood circulation; inhibit the release of inflammatory cytokines and maintain fat metabolism balance; inhibit cholesterol and triglyceride synthesis; and other ways to achieve lipid-lowering effect. Thus this study provides reference for novel drug development and component compatibility, and also gives a new way for the systematically study of acting mechanism of traditional Chinese medicine.

[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.

[Study on self-similarity of property combination mode of traditional Chinese medicines].

The combination of medicinal properties refers to expression forms of elements with active properties combined according to a specific sequence. The mode of medicinal property combination refers to the compatible relationship multiple medicinal property combinations. In this paper, based on the mode, safflower, Taohong Siwu decoction, Xuefu Zhuyu decoction and Buyang Huanwu decoction were taken for example to study the characteristics of the compatibility among single herb, herbal pairs and prescriptions. The authors discovered the similarities and differences among them, interpreted the self-similarity in medicinal property combinations of traditional Chinese medicines, and analyzed the compatible relationship among multiple medicinal property combinations, so as to bring forth new ideas in discovering the correlation between the compatibility study mode of traditional Chinese medicines based medicinal property combinations and the efficient compatibility of medicinal property combination.

[Study on characteristics of pharmacological effects of traditional Chinese medicines distributing along stomach meridian based on medicinal property combination].

At present, studies on traditional Chinese medicine (TCM) properties are mostly restricted to a single or two kinds of medicinal properties, but deviated from the holism of the theoretical system of TCMs. In this paper, the characteristics of pharmacological effects of different property combinations of TCMs distributing in the stomach meridian were take as the study objective. The data of properties of TCMs distributing in the stomach meridian was collected from the Pharmacopoeia of the People's Republic of China (2005). The data of pharmacological effects of TCMs distributing in the stomach meridian was collected from all of literatures recorded in Chinese Journal Full-text Database (CNKI) since 1980, Science of Chinese Materia Medica (Yan Zhenghua, People's Medical Publishing House, 2006) and Clinical Science of Chinese Materia Medica (Gao Xuemin, Zhong Gansheng, Hebei Science and Technology Publishing House, 2005). The corresponding pharmacological effects of property combinations of TCMs distributing in the stomach meridian was mined by the method of association rules. The results of the association rules were consistent with the empirical knowledge, and showed that different medicinal property combinations had respective pharmacological characteristics, including differences and similarities in pharmacological effects of different medicinal property combinations. Medicinal property combinations with identical four properties or five tastes showed similar pharmacological effects; whereas medicinal property combinations with different four properties or five tastes showed differentiated pharmacological effects. However, medicinal property combinations with different four properties or five tastes could also show similar pharmacological effects. In this study, the medicinal property theory and the pharmacological effects of TCMs were combined to reveal the main characteristics and regularity of pharmacological effects of TCMs distributing in the stomach meridian and provide a new way of thinking and method for revealing the mechanism action of TCMs distributing in the stomach meridian and discovering the pharmacological effects of TCMs distributing in the stomach meridian.