Study on efficacy markers of heat-clearing and detoxifying effect of Lonicerae Japonicae Flos based on systematic traditional Chinese medicine / 中国中药杂志

Lonicerae Japonicae Flos has a long history of heat-clearing and detoxifying effect. The description of its efficacy in Chinese Pharmacopoeia of past dynasties is relatively stable, and it is an excellent carrier for the study of efficacy markers. Guided by the theory of systematic traditional Chinese medicine, heat-clearing and detoxifying effect efficacy system of Lonicerae Japonicae Flos was taken as an example in this study to clarify the elements(active ingredients) of Lonicerae Japonicae Flos in heat-clearing and detoxifying efficacy system, determine the boundary(signal pathway), establish the structure(system dynamics model), identify the system functions corresponding to pharmacology, efficacy and effects(heat-clearing and detoxifying effect), and explore the application of system dynamics model in the discovery of efficacy markers of traditional Chinese medicine. In this paper, the dynamic models of interleukin 1(IL-1) and interleukin 6(IL-6) in vivo were established to predict the expression of related factors in IL-1 and IL-6 signaling pathways of different components and their combinations in Lonicerae Japonicae Flos by dynamic network, so as to find the effective markers of heat-clearing and detoxification of Lonicerae Japonicae Flos. The results showed that the lower the concentration of chlorogenic acid, the higher the inhibition rate of Jun N-terminal kinase(JNK) at downstream of IL-1 by the combination of chlorogenic acid and linalool; the higher the concentration of luteolin in IL-6 pathway, the higher the inhibition rate of C-reactive protein(CRP) at downstream of IL-6 by the combination of chlorogenic acid and luteolin. It revealed that the potential efficacy markers of Lonicerae Japonicae Flos in heat-clearing and detoxifying effect based on IL-1 signaling pathway were chlorogenic acid and linalool, and the potential efficacy markers of Lonicerae Japonicae Flos in heat-clearing and detoxifying effect based on IL-6 signaling pathway were chlorogenic acid and luteolin. This study provided methodological guidance for the discovery of efficacy markers of traditional Chinese medicine.

Anti-inflammatory mechanism of Dahuang Lidan Pian by network pharmacology / 中国中药杂志

Dahuang Lidan Pian contains Rheum palmatum, Gymnadenia conopsea and Phyllanthus emblica, which has a significant effect in the treatment of alcoholic fatty liver, cholestasis and cholecystitis. The efficacy of the formula in traditional Chinese medicine was clearing heat and promoting diuresis, removing dampness, detoxifying and relieving jaundice. These three herbs are widely used in the traditional Chinese medicine, Mongolian medicine and Tibetan medicine. Therefore, the formula was a representative subject in the researches for ethno-drugs. In this research, computer aided drug design methods were used to predict the action targets of the formula. Protein interaction network (PIN) was then constructed, and molecular complex detection (MCODE) clustering algorithm was used to obtain the modules of the formula, so as to analyze the potential action mechanism. The results showed that Rh. palmatum and P. emblica may have a synergistic protective effect on liver function by acting on analogous targets and pathways. G. conopsea regulated metabolic balance of nutrients to strengthen physical fitness. The research explained the liver-protecting mechanism of Dahuang Lidan Pian based on the PIN analysis on molecular network, which provides an reference for the further study of Dahuang Lidan Pian.

Pharmacological mechanism analysis of oligopeptide from Pinctada fucata based on in silico proteolysis and protein interaction network / 中国中药杂志

Pinctada fucata oligopeptide is one of key pharmaceutical effective constituents of P. fucata. It is significant to analyze its pharmacological effect and mechanism. This study aims to discover the potential oligopeptides from P. fucata and analyze the mechanism of P. fucata oligopeptide based on in silico technologies and protein interaction network(PIN). First, main protein sequences of P. fucata were collected, and oligopeptides were obtained using in silico gastrointestinal tract proteolysis. Then, key potential targets of P. fucata oligopeptides were obtained through pharmacophore screening. The protein-protein interaction(PPI) of targets was achieved and implemented to construct PIN and analyze the mechanism of P. fucata oligopeptides. P. fucata oligopeptide database was constructed based on in silico technologies, including 458 oligopeptides. Twelve modules were identified from PIN by a graph theoretic clustering algorithm Molecular Complex Detection(MCODE) and analyzed by Gene ontology(GO) enrichment. The results indicated that P. fucata oligopeptides have an effect in treating neurological diseases, such as Alzheimer's disease. In silico proteolysis could be used to analyze the protein sequences of traditional Chinese medicine(TCM). According to the combination of in silico proteolysis and PIN, the biological activity of oligopeptides could be interpreted rapidly based on the known TCM protein sequence. The study provides the methodology basis for rapidly and efficiently implementing the mechanism analysis of TCM oligopeptides.

Virtual screening for natural CETP inhibitors by structure-based pharmacophore / 中国中药杂志

Cholesterol ester transfer protein (CETP) is a key regulator of high density lipoprotein (HDL). Owing to its important role in the reverse of cholesterol transport, CETP has become a hotspot target in modulating lipid drug design. In this paper, structure based pharmacophore (SBP) models for CETP inhibitors were built based on the protein structure 4F2A from Protein Database (PDB). The best pharmacophore contained six hydrophobic features, one hydrogen bond acceptor feature and nine excluded volume features, with the N and CAI value was 3.33 and 2.31 respectively. Then the model was used to search the traditional Chinese medicine database (TCMD) and 629 compounds originated from 315 TCM herbs were obtained. Molecular docking was also used to validate SBP by analyzing the critical amino acid residue and the interaction between potential active compounds and receptor. In this study, several TCM herbs, like Lycii Frutus and Schisandrae chinensis fructus, which contained more optimal SBP based screening results, have been reported hypolipidemic effect, and need to be studied deeply in a more focused research on herbal active constituents. Therefore, this study could provide reliable fundamental data for exploring the action mechanisms of TCM, and be applicable to identify lead candidates, which can be utilized as starting scaffolds for natural CETP inhibitors.

Study on lipid-lowering traditional Chinese medicines based on pharmacophore technology and patent retrieval / 中国中药杂志

The combined application of statins that inhibit HMG-CoA reductase and fibrates that activate PPAR-α can produce a better lipid-lowering effect than the simple application, but with stronger adverse reactions at the same time. In the treatment of hyperlipidemia, the combined administration of TCMs and HMG-CoA reductase inhibitor in treating hyperlipidemia shows stable efficacy and less adverse reactions, and provides a new option for the combined application of drugs. In this article, the pharmacophore technology was used to search chemical components of TCMs, trace their source herbs, and determine the potential common TCMs that could activate PPAR-α. Because there is no hyperlipidemia-related medication reference in modern TCM classics, to ensure the high safety and efficacy of all selected TCMs, we selected TCMs that are proved to be combined with statins in the World Traditional/Natural Medicine Patent Database, analyzed corresponding drugs in pharmacophore results based on that, and finally obtained common TCMs that can be applied in PPAR-α and combined with statins. Specifically, the pharmacophore model was based on eight receptor-ligand complexes of PPAR-α. The Receptor-Ligand Pharmacophore Generation module in the DS program was used to build the model, optimize with the Screen Library module, and get the best sub-pharmacophore, which consisted of two hydrogen bond acceptor, three hydrophobic groups and 19 excluded volumes, with the identification effectiveness index value N of 2. 82 and the comprehensive evaluation index CAI value of 1. 84. The model was used to screen the TCMD database, hit 5,235 kinds of chemical components and 1 193 natural animals and plants, and finally determine 62 TCMs. Through patent retrieval, we found 38 TCMs; After comparing with the virtual screening results, we finally got seven TCMs.