[Anti-osteoarthritis components and mechanism of Fufang Duzhong Jiangu Granules].

Osteoarthritis is a common disease characterized by degenerative lesions of articular cartilage in the elderly.Fufang Duzhong Jiangu Granulues(FDJG), a classical prescription for the treatment of osteoarthritis, has the effects of nourishing liver and kidney, nourishing blood and sinew, and dredging collaterals and relieving pain.In this study, molecular simulation technology was combined with molecular biology methods to explore and verify the potential pharmacodynamic substances and molecular mechanism of FDJG in the treatment of osteoarthritis.Arachidonic acid(AA) metabolic pathway is a typical anti-inflammatory pathway, and secretory phospholipase A2 group ⅡA(sPLA2-ⅡA), 5-lipoxygenase(5-LOX), cyclooxygenase-2(COX-2), and leukotriene A4 hydrolase(LTA4 H) are the key targets of the pathway.Therefore, in this study, based on the pharmacophores and molecular docking models of the four key targets in AA pathway, a total of 1 522 chemical components in 12 medicinals of FDJG were virtually screened, followed by weighted analysis of the screening results in combination with the proportions of the medicinals in the prescription.The results showed that mainly 73 components in the preparation could act on the above four targets, suggesting they might be the potential anti-osteoarthritis components of FDJG.Considering the predicted effectiveness, availability, and compatibility of the medicinals, coniferyl ferulate, olivil, and baicalin were selected for further verification.Specifically, lipopolysaccharide(LPS)-induced RAW264.7 inflammatory cell model was used to verify the anti-inflammatory activity of the three components.The results showed that the three can effectively inhibit the release of NO, supporting the above selection.In addition, targets 5-LOX, COX-2, and LTA4 H had high activity, which suggested that they may be the key anti-osteoarthritis targets of FDJG.The comprehensive activity values of Eucommiae Cortex, Achyranthis Bidentatae Radix, Ginseng Radix et Rhizoma, Lycii Fructus, and Astragali Radix were much higher than that of other medicinals in the prescription, indicating that they may be the main effective medicinals in FDJG acting on the AA pathway.In this study, the potential anti-osteoarthritis components of FDJG were obtained.Moreover, it was clarified that the anti-osteoarthritis mechanism of FDJG was to act on LOX and COX pathway in AA metabolic pathway, which provided a reference for the study of pharmacodynamic substances and molecular mechanism of FDJG.

[Study on efficacy markers of heat-clearing and detoxifying effect of Lonicerae Japonicae Flos based on systematic traditional Chinese medicine].

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.

[Study on screening potential traditional Chinese medicines against 2019-nCoV based on Mpro and PLP].

With the rapid outbreak of COVID-19, traditional Chinese medicine(TCM) has been playing an active role against the epidemic. However, the screening of TCM is limited by the development cycle and laboratory conditions, which greatly limits the screening speed. This study established optimization docking models and virtual screening to discovery potential active herbs for the prevention and treatment of the novel coronavirus based on molecular docking technology. The crystal structures of 3 CL protease(Mpro) and papain-like protease(PLP) were obtained from PDB database and homologous modeling respectively, and were used to conduct virtual screening of TCMD 2009 database by CDOCKER program. The ingredients scored in the top 100 were selected respectively, and the candidate herbs were ranked by the numbers of hit molecules. Based on Mpro inhibitors screening, 12 322 potential active components were obtained, and the representative active components included aster pentapeptide A, ligustrazine, salvianolic acid B, etc., and Zingiberis Rhizoma Recens, Asteris Radix et Rhizoma, Notoginseng Radix et Rhizoma, Chuanxiong Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Zingiberis Rhizoma, Dianthi Herba, Rhei Radix et Rhizoma, Cistanches Herba were obtained. While 11 294 potential active ingredients were obtained by PLP inhibitor screening, representative active ingredients included gingerketophenol, ginkgol alcohol, ferulic acid, etc., and Codonopsis Radix, Notopterygii Rhizoma et Radix, Zingiberis Rhizoma Recens, Ginkgo Semen, Chuanxiong Rhizoma, Trichosanthis Fructus, Paeoniae Radix Alba, Psoraleae Fructus, Sophorae Flavescentis Radix, Notoginseng Radix et Rhizoma, Angelicae Sinensis Radix were chosen. By combining the diagnosis and treatment scheme of Hunan province's and angiotensin converting enzyme 2(ACE2) inhibitors screening from literature, present study also discussed the rational application of candidate herbs to this epidemic situation. Trichosanthis Fructus obtained by PLP inhibitors screening and Fritillaria verticillata obtained by ACE2 inhibitors screening were parts of the Sangbei Zhisou Powder and Xiaoxianxiong Decoction, which might be applicable to the syndromes of cough and dyspnea. Rhei Radix et Rhizoma screened by Mpro and Trichosanthis Fructus screened by PLP were contained in Maxing Shigan Decoction and Xuanbai Chengqi Decoction, and could be applied to the syndromes of epidemic virus blocking lung. Mori Folium, Lonicerae Japonicae Flos and Forsythiae Fructus obtained by ACE2 inhibitors screening were included in the Sangju Decoction and Yinqiaosan, which might be applicable to the syndromes of warm pathogen attacking lung and cough and dyspnea. The results of this study are intended to provide a reference for the further development of traditional Chinese medicine to deal with the new epidemic.

[Study on treatment of "cytokine storm" by anti-2019-nCoV prescriptions based on arachidonic acid metabolic pathway].

Since the outbreak of 2019-nCoV, the epidemic has developed rapidly and the situation is grim. LANCET figured out that the 2019-nCoV is closely related to "cytokine storm". "Cytokine storm" is an excessive immune response of the body to external stimuli such as viruses and bacteria. As the virus attacking the body, it stimulates the secretion of a large number of inflammatory factors: interleukin(IL), interferon(IFN), C-X-C motif chemokine(CXCL) and so on, which lead to cytokine cascade reaction. With the exudation of inflammatory factors, cytokines increase abnormally in tissues and organs, interfering with the immune system, causing excessive immune response of the body, resulting in diffuse damage of lung cells, pulmonary fibrosis, and multiple organ damage, even death. Arachidonic acid(AA) metabolic pathway is principally used to synthesize inflammatory cytokines, such as monocyte chemotactic protein 1(MCP-1), tumor necrosis factor(TNF), IL, IFN, etc., which is closely related to the occurrence, development and regression of inflammation. Therefore, the inhibition of AA metabolism pathway is benefit for inhibiting the release of inflammatory factors in the body and alleviating the "cytokine storm". Based on the pharmacophore models of the targets on AA metabolic pathway, the traditional Chinese medicine database 2009(TCMD 2009) was screened. The potential herbs were ranked by the number of hit molecules, which were scored by pharmacophore fit value. In the end, we obtained the potential active prescriptions on "cytokine storm" according to the potential herbs in the "National novel coronavirus pneumonia diagnosis and treatment plan(trial version sixth)". The results showed that the hit components with the inhibitory effect on AA were magnolignan Ⅰ, lonicerin and physcion-8-O-ß-D-glucopy-ranoside, which mostly extracted from Magnoliae Officinalis Cortex, Zingiberis Rhizoma Recens, Lonicerae Japonicae Flos, Rhei Radix et Rhizoma, Salviae Miltiorrhizae Radix et Rhizoma, Scutellariae Radix, Gardeniae Fructus, Ginseng Radix et Rhizoma, Arctii Fructus, Dryopteridis Crassirhizomatis Rhizoma, Paeoniaeradix Rubra, Dioscoreae Rhizoma. Finally the anti-2019-nCoV prescriptions were analyzed to obtain the potential active prescriptions on AA metabolic pathway, Huoxiang Zhengqi Capsules, Jinhua Qinggan Granules, Lianhua Qingwen Capsules, Qingfei Paidu Decoction, Xuebijing Injection, Reduning Injection and Tanreqing Injection were found that may prevent 2019-nCoV via regulate cytokines. This study intends to provide reference for clinical use of traditional Chinese medicine to resist new coronavirus.

[Anti-inflammatory mechanism of Dahuang Lidan Pian by network pharmacology].

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].

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].

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].

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.