[Study on intersection and regulation mechanism of "efficacy-toxicity network" of aconite in combination environment of Sini decoction].

OBJECTIVE: To explore the intersection and regulation mechanism of "efficacy-toxicity network" of Glycyrrhizae Radix et Rhizoma, Zingiberis Rhizoma and Aconiti Lateralis Radix Praeparata's action gene in the combination environment of Sini decoction with the network pharmacological method. METHOD: The gene interaction network of Aconiti Lateralis Radix Praeparata, Glycyrrhizae Radix et Rhizoma, Zingiberis Rhizoma were mined and established with Cytoscape software and Agilent literature search plug-in. The "efficiency-toxicity network" intersection of Aconiti Lateralis Radix Praeparata was formed according to its effects in anti-heart failure, neurotoxicity and cardiotoxicity. The target genes were clustered with Clusterviz plug-in. And the possible pathways of the "efficacy-tox- icity network" intersection of Glycyrrhizae Radix et Rhizoma, Zingiberis Rhizoma and Aconiti Lateralis Radix Praeparata were forecasted in DAVID database. RESULT: There were five genes related to neurotoxicity, cardiotoxicity and anti-heart failure function of Aconiti Lateralis Radix Praeparata, namely AKT1, BAX, HCC, IL6 and IL8, which formed 47 nodes genes in the "efficiency-toxicity network" intersection of Aconiti Lateralis Radix Praeparata. There were 29 and 27 coincident genes in the "efficiency-toxicity network" of Glycyrrhizae Radix et Rhizoma, Zingiberis Rhizoma and Aconiti Lateralis Radix Praeparata. There were 23 and 17 possible regulatory pathways. CONCLUSION: In the combination environment of Sini decoction, Glycyrrhizae Radix et Rhizoma and Zingiberis Rhizoma may regulate the efficiency-toxicity network of Aconiti Lateralis Radix Praeparata by influencing immune-inflammatory signaling pathway, apoptosis-autophagy signaling pathway, nerve cell and myocardial ischemia and hypoxia protection signaling pathways.

Deciphering the underlying mechanisms of Diesun Miaofang in traumatic injury from a systems pharmacology perspective.

Diesun Miaofang (DSMF) is a traditional herbal formula, which has been reported to activate blood, remove stasis, promote qi circulation and relieve pain. DSMF holds a great promise for the treatment of traumatic injury in an integrative and holistic manner. However, its underlying mechanisms remain to be elucidated. In the present study, a systems pharmacology model, which integrated cluster ligands, human intestinal absorption and aqueous solution prediction, chemical space mapping, molecular docking and network pharmacology techniques were used. The compounds from DSMF were diverse in the clusters and chemical space. The majority of the compounds exhibited drug-like properties. A total of 59 compounds were identified to interact with 16 potential targets. In the herb-compound-target network, the majority of compounds acted on only one target; however, a small number of compounds acted on a large number of targets, up to a maximum of 12. The comparison of key topological properties in compound-target networks associated with the above efficacy intuitively demonstrated that potential active compounds possessed diverse functions. These results successfully explained the polypharmacological mechanism underlying the efficiency of DSMF for the treatment of traumatic injury as well as provided insight into potential novel therapeutic strategies for traumatic injury from herbal medicine.

Study on active ingredient and mechanism in preventing vascular dementia of Tianzhusan coming from Tujia medicine / 中国中药杂志

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.

[Study on relations between transient receptor potential vanilloid 1 and pungent property of traditional Chinese medicines].

The five-flavor theory of traditional Chinese medicines (TCM) and the flavor efficacy generation mechanism has long been focuses and difficulties in studies on traditional Chinese medicinal properties. In this paper, by using the pharmacophore-based virtual screening technique, the authors discussed the relations between the pungent property and transient receptor potential vanilloid 1 (TRPV1) by studying the TCM components' role in regulating TRPV1 ion channel. The results showed that the matching relationship between TRPV1 agonist pharmacophore model and TCM chemical components could identify the active ingredients from pungent herbs. Therefore, the authors proposed that TRPV1 is one of the potential targets for efficient pungent herbs. The pungent property of TCMs is decided by its chemical components, and consistent with the inherited and additive characteristics.

Understanding the polypharmacological anticancer effects of Xiao Chai Hu Tang via a computational pharmacological model.

Xiao Chai Hu Tang (XCHT), a traditional herbal formula, is widely administered as a cancer treatment. However, the underlying molecular mechanisms of its anticancer effects are not fully understood. In the present study, a computational pharmacological model that combined chemical space mapping, molecular docking and network analysis was employed to predict which chemical compounds in XCHT are potential inhibitors of cancer-associated targets, and to establish a compound-target (C-T) network and compound-compound (C-C) association network. The identified compounds from XCHT demonstrated diversity in chemical space. Furthermore, they occupied regions of chemical space that were the same, or close to, those occupied by drug or drug-like compounds that are associated with cancer, according to the Therapeutic Targets Database. The analysis of the molecular docking and the C-T network demonstrated that the potential inhibitors possessed the properties of promiscuous drugs and combination therapies. The C-C network was classified into four clusters and the different clusters contained various multi-compound combinations that acted on different targets. The study indicated that XCHT has a polypharmacological role in treating cancer and the potential inhibitory components of XCHT require further investigation as potential therapeutic strategies for cancer patients.

[The application of infrared spectra and clustering analysis in the discrimination of geographical origin of Flos Chrysanthemi].

OBJECTIVE: To identify the origin of Flos Chrysanthemi. METHODS: FTIR (Fourier transform infrared spectroscopy) and SIMCA (sofe independent modeling of class analogy). RESULTS: The correctness of every classification was higher than 60%. CONCLUSION: This approach was proved to be a reliable and practicable method for the discrimination of geographical origin of Chrysanthemum.

[The analysis on processed chrysanthemum by FTIR spectrums second-order derivative spectrums and two-dimensional spectrums].

Using Infrared spectrums, Second-order derivative spectrums and Two-dimensional spectrums to analyze Chrysanthemum and processed Chrysanthemum in henan province, the infrared characters of Chrysanthemum and processed Chrysanthemum can be found.