Formulation regularity of traditional Chinese medicine in treatment of sinusitis based on data mining / 中国中药杂志

Based on the Drugdataexpy and the prescription modern application database, this study explored the formulation regularity of ancient and modern prescriptions for the treatment of sinusitis. The Chinese medicinal prescriptions for the treatment of sinusitis with various syndromes were retrieved from the above databases and the corresponding formulation regularity was investigated by frequency analysis, association rule analysis, and factor analysis. Eighty-seven Chinese medicinal prescriptions were included, involving five syndrome types of sinusitis and 160 Chinese medicine, which were mainly effective in releasing exterior, clearing heat, and tonifying deficiency, and acted on the lung meridian due to cold and warm nature and pungent and bitter flavor or on the spleen meridian due to warm nature and pungent flavor. Seventeen core Chinese medicine were screened out by topological data analysis, including Angelicae Dahuricae Radix, Magnoliae Flos, Glycyrrhizae Radix et Rhizoma, Xanthii Fructus, and Scutellariae Radix. Chinese medicine such as Magnoliae Flos, Angelicae Dahuricae Radix, and Xanthii Fructus were commonly used in the treatment of sinusitis of wind-heat in the lung meridian, while the combination of Glycyrrhizae Radix et Rhizoma, Magnoliae Flos, Angelicae Dahuricae Radix, Chuanxiong Rhizoma, etc. was the key compatibility in treating sinusitis of dampness-heat in the spleen and stomach. Six common factors were extracted from the factor analysis of the above two syndrome types. The findings indicate that the exterior-releasing, heat-clearing, and deficiency-tonifying Chinese medicine with cold and warm nature and pungent flavor are preferential options for the clinical treatment of sinusitis. Treatment should be based on syndrome differentiation and key therapeutic principles should be followed.

Effective components of Shengxian Decoction and its mechanism of action in treating chronic heart failure based on UHPLC-Q-TOF-MS integrated with network pharmacology / 中国中药杂志

This study aimed to elucidate the effective components of Shengxian Decoction and its mechanism of action in treating chronic heart failure. Firstly, UHPLC-Q-TOF-MS was established to identify the main chemical constituents in the rat serum after intragastric administration with Shengxian Decoction. Secondly, the absorbed components in serum were then used for the network pharmacology analysis to infer the mechanism and effective components. Targets for constituents in serum were predicted at TCMSP and Swiss-TargetPrediction database. An association network map was drawn by network visualization software Cytoscape 3.6.1. Finally, GO enrichment analysis and KEGG pathway enrichment analysis were carried out for the core target genes. By UHPLC-Q-TOF-MS, 18 prototype compounds were definitely identified, including five compounds from Astragali Radix, four compounds from Anemarrhenae Rhizoma, four compounds from Bupleuri Radix, four compounds from Cimicifugae Rhizoma, and one compound from Platycodonis Radix. Those components of Shengxian Decoction were closely associated with 13 key protein targets, including inflammatory factors, like IL6, IL1 B, TNF, PTGS2, IL10; redox enzymes CAT, HMOX1, and MPO; cardiovascular targets, like VEGFA, NOS3, and NOS2; and transmememial proteins CAV1 and INS. Network pharmacology analysis showed that the 18 compounds could be responsible for the treatment of chronic heart failure by regulating HIF-1 signaling pathways, PI3 K-Akt signaling pathways, cGMP-PKG signaling pathways, cAMP signaling pathways and TNF signaling pathways. This study provided a scientific basis for mechanism and effective ingredients of Shengxian Decoction.

Research on Network Pharmacology of Action Mechanism of Xianglian Pills / 中国药学杂志

OBJECTIVE: To analyze active ingredients,targets,pathways and biological processes of xianglian pills by means of network pharmacology and explore its pharmacodynamics material base and mechanism of action.METHODS: Active ingredients and corresponding targets of xianglian pills were obtained by using TCMSP database and BATMAN-TCM analytical platform,the network of xianglian pills active ingredients-targets was constructed by using Cytoscape 3.5.1 software, using the STRING platform to build protein-protein interaction; GO bioprocess enrichment and clustering analysis of target genes were finished by using BINGO and MCODE plug-ins; KEGG signaling pathways of target genes were analyzed by means of DAVID database.RESULTS: Eleven active ingredients in xianglian pills act on 291 potential targets. these targets participate in eighteen major GO biological process adjustment sub-clusters of the inflammatory response, leukotriene metabolism, lipid metabolism, apoptosis, smooth muscle contraction and platelet activation etc. involve in thirty-three signal pathways of seven categories: inflammation, metabolism,signal transduction, cancer, secretion of digestive juices, ardiovascular system etc.CONCLUSION: The different therapeutic value, pharmacodynamic substances and molecular mechanism of Xianglian pills in the treatment of inflammation,diabetes,cancer and cardiovascular diseases have been preliminarily elucidated, which provides new clues for the development of its clinical application.

Network Pharmacology Study of Anti-Depression Mechanism of Baihe Zhimu Tang / 中国药学杂志

OBJECTIVE: To discuss anti-depression mechanism of baihe zhimu tang using network pharmacology. METHODS: The reported antidepressant active ingredients in baihe zhimu tang were used to predict the targets of main active ingredients of baihe zhimu tang relying on traditional Chinese medicine pharmacology system technology platform(TCMSP)database, reverse molecular docking server(DRAR-CPI) and annotation of the human genome database(GeneCards). The Cytoscape 3.5.1 software was used to construct the baihe zhimu tang active ingredients-targets network. The STRING platform was used to construct protein-protein interaction network, and biological information annotation databases(DAVID)was used to analyze metabolic pathways and biological processes of the targets. RESULTS: There are total 11 active ingredients and 106 anti-depression related targets in the baihe zhimu tang. The 106 targets were mainly involved in regulation of neurotrophin, FoxO, insulin, MAPK, PI3K-Akt, prolactin and proteolysis, signal transduction, protein phosphorylation and RNA regulation relevant biological processes. CONCLUSION: Baihe zhimu tang may play a role in the intervention of depression by acting on the relevant neural, hormonal targets and pathways.

Pharmacological mechanism of main ingredients of Guanxinning Injection treating cardiovascular diseases by computer simulation study / 中草药

Objective: To study network pharmacology mechanism of main ingredients of Guanxinning Injection treating cardiovascular diseases by computer simulation. Methods: Danshensu, salvianolic acid B, protocatechuic aldehyde, rosmarinic acid, tanshinone IIA, lithospermic acid, ferulic acid, senkyuno lide I, ligustrazine, butylphthalide, and ligustilide from Guanxinning Injection were used to predict and screen the targets by reverse molecular docking technology, and were used to study pharmacological mechanism of main ingredients of Guanxinning Injection treating cardiovascular diseases relying on protein-protein interaction network, GO biological processes enrichment, and KEGG signaling pathways enrichment. Results: There were total 11 active ingredients acting INS, Akt1, TNF, MAPK1, ESR1, F2, SERPINE1, and 142 cardiovascular diseases related targets in Guanxinning Injection. These targets were mainly involved in steroid hormone mediated signaling pathway, glutathione metabolic process, positive regulation of smooth muscle cell proliferation and other biological processes, and regulation of coagulation, inflammation and immune, endocrine, and 20 relevant pathways. Conclusion: Guanxinning Injection participated in the treatment of the cardiovascular diseases by anti-inflammatory, anti-oxidant, anticoagulation, promoting fibrinolysis, regulating hormones, and maintaining cardiovascular homeostasis.

Efficacy of glucocorticoids combined with immunoglobulin in initial treatment of Kawasaki disease: a Meta analysis / 中国当代儿科杂志

<p><b>OBJECTIVE</b>To systematically investigate the efficacy and safety of glucocorticoids (GCs) combined with intravenous injection of immunoglobulin (IVIG) in the initial treatment of Kawasaki disease (KD).</p><p><b>METHODS</b>EDLINE Database, PubMed Database, CNKI, Wanfang Data, and VIP Database were searched to collect prospective or retrospective controlled studies on the combination of GCs and IVIG as the initial treatment of KD, which were published up to March 2016. Two investigators independently screened the literature, extracted data, and assessed the quality of the articles included. Then, a Meta analysis was performed using RevMan 5.2 software.</p><p><b>RESULTS</b>A total of 11 articles in English were included, with 7 prospective studies and 4 retrospective studies. The results of the Meta analysis showed that compared with the group using IVIG alone, the combination group had a significantly lower incidence rate of coronary artery lesion (CAL) (OR=0.44, 95%CI 0.23-0.86, P=0.02) and a significantly shorter duration of fever (MD=-1.66, 95%CI -2.32 to -1.01, P<0.00001). The combination group had a significantly lower rate of no response to initial treatment than the IVIG alone group (OR=0.37, 95%CI 0.27-0.51, P<0.00001). The recurrence rate of KD and the incidence rate of adverse events showed no significant differences between the two groups.</p><p><b>CONCLUSIONS</b>GCs combined with IVIG as the initial treatment for KD can reduce the incidence rate of CAL and the rate of no response to initial treatment and shorten the duration of fever, and does not increase the recurrence rate of KD and the incidence rate of adverse events.</p>