The prescriptions containing pericarpium citri reticulatae that built by Professor. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. After analyzed by data mining, such as apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations can be get from the database. Through the analysis of 1 027 prescriptions with pericarpium citri reticulatae, these prescriptions were commonly used to treat stomach aches, cough and other syndromes. The most frequency drug combinations were "Citri Reticulatae Pericarpium-Poria", "Paeoniae Radix Rubra-Citri Reticulatae Pericarpium" and so on. The drug association rules that the confidence was 1 were "Glycyrrhizae Radix ex Rhizoma --> Citri Reticulatae Pericarpium", "Paeoniae Alba Radix-Cyperi Rhizoma --> Citri Reticulatae Pericarpium", "Poria --> Citri Reticulatae Pericarpium", and so on. The drugs in the prescriptions containing pericarpium citri reticulatae that built by Professor Yan mostly had the effects of regulating the flow of Qi and invigorate blood circulation, which reflected the clearly thought when making prescriptions.
Citrus ; chemistry ; Data Mining ; Drug Interactions ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; pharmacology ; Humans ; Practice Patterns, Physicians'

Altitude ; Animals ; CA1 Region, Hippocampal ; metabolism ; physiology ; Male ; Neural Cell Adhesion Molecules ; metabolism ; Rats ; Rats, Sprague-Dawley ; Time Factors

In this study, OVA-induced asthma mice was taken as the model, and orally administered with different concentration of ethanol extracts of crude and processed Stemona tuberosa, in order to determine the cytokine level released from Th1 and Th2 in splenocytes. RT-PCR was carried out to determine the genetic expression of T-bet/GATA-3 in lung, and compare the differentiation between ethanol extracts of crude and processed S. tuberosa in therapeutic effect on asthma in mice. According to the results, compared with the crude samples, processed samples significantly increased the levels of inflammatory factor INF-gamma (P < 0.05) and decreased IL-5 (P < 0.05) in splenocytes. According to the RT-PCR results, the administration of processed samples could increase the ratio of T-bet/GATA-3 (P < 0.05). The experiment showed that ethanol extracts of both crude and processed S. tuberosa could treat asthma by regulating Th1/Th2 ratio, but processed samples showed more notable effect. This indicated that crude and processed S. tuberosa had significant pharmacological difference. Therefore, it was more rational to apply processed S. tuberosa in clinical treatment of asthma and chronic cough, which layed a foundation for further revealing the processing mechanism of S. tuberosa.
Administration, Oral ; Animals ; Asthma ; drug therapy ; immunology ; metabolism ; Disease Models, Animal ; Drugs, Chinese Herbal ; administration & dosage ; pharmacology ; therapeutic use ; GATA3 Transcription Factor ; metabolism ; Gene Expression Regulation ; drug effects ; Mice ; Mice, Inbred BALB C ; Stemonaceae ; chemistry ; T-Box Domain Proteins ; metabolism ; Th1 Cells ; drug effects ; secretion ; Th2 Cells ; drug effects ; secretion

The aryl hydrocarbon receptor (AhR) is a ligand-activated transcription factor that regulates gene expression in a range of cells, including immune and epithelial cells. AhR signaling plays important roles in the immune system in both health and disease states. Tapinarof is a first-in-class small-molecule topical therapeutic AhR modulating agent launched for the treatment of psoriasis. To improve the activity and chemical stability of Tapinarof, a series of 2-phenylchromen-4-one derivatives were designed, synthesized and evaluated as novel AhR agonists. Compounds 5a, 5c, 5e and 5f potently activated AhR with an EC₅₀ value of 7, 9, 6 and 6 nmol·L^-1, respectively, which are 10-14 fold more potent than Tapinarof. Compounds 5a and 5e exhibit comparable inhibitory effects on IFN-γ production as Tapinarof. Furthermore, compounds 5a-5f exhibited favorable photochemical stability compared to Tapinarof. The compounds may eventually serve as lead compounds for the development of new AhR agonists.

In this study, Professor Yan Zhenghua's recipes for treating heart diseases were collected to determine the frequency and association rules among drugs by such data mining methods as apriori algorithm and complex system entropy cluster and summarize Pro- fessor Yan Zhenghua's medication experience in treating heart diseases. The results indicated that frequently used drugs included Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Ostreae Concha, Poria; frequently used drug combinations included "Ostreae Concha, Draconis Os", "Polygoni Multiflori Caulis, Parched Ziziphi Spinosae Semen" , and "Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen". The drug combinations with the confidence of 1 included "Dalbergiae Odoriferae Lignum-->Salviae Miltiorrhizae Radix et Rhizoma", "Allii Macrostemonis Bulbus-->Parched Ziziphi Spinosae Semen", "Draconis Os-->Ostreae Concha", and "Salviae Miltiorrhizac Radix et Rhizoma, Draconis Os-->Ostreae Concha". The core drug combinations included" Chrysanthemi Flos-Gastrodiae Rhizoma-Tribuli Fructus", "Dipsaci Radix-Taxillus sutchuenensis-Achyranthis Bidentatae Radix", and "Margaritifera Concha-Polygoni Multiflori Caulis-Platycladi Semen-Draconis Os".
Drug Interactions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; chemistry ; history ; therapeutic use ; Entropy ; Heart Diseases ; drug therapy ; history ; History, 20th Century ; History, 21st Century ; Humans

Analyzed the prescriptions for phlegm retention syndrome that built by Ma Peizhi by the association rules and clustering algorithm, the frequency of drug usage and the relationship between drugs could be get. And from that we could conclude the experiences for phlegm retention syndrome of Ma Peizhi of menghe medical genre. The results of the analysis were that 18 core combinations were dig out, such as Citri Exocarpium Rubrum-Eriobotryae Folium-Citri Reticulatae Pericarpium. And there were 9 new prescriptions were found out such as Aurantii Fructus-Citri Exocarpium Rubium-Eriobotryae Folium-Citri Reticulatae Pericarpium. The results of the analysis were proved that Ma Peizhi of Menghe Medical Genre was good at curing phlegm retention syndrome by using the traditional Chinese medicine of mild and light, such as the medicines of mild tonification, and clearing damp and promoting diuresis.
Algorithms ; Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Mucus ; chemistry ; Practice Patterns, Physicians' ; Respiratory Tract Diseases ; drug therapy

The clinical prescriptions of hemoptysis that built by Menghe physician Ma Peizhi were collected, and were analyzed by the method of unsupervised data mining, such as association rules and clustering algorithm. From the prescriptions, we got the frequency of drugs, the association rules among drugs, 10 core drug combinations and 5 new prescriptions. Accordingly, after the analysis, Menghe physician Ma Peizhi had rich experience in the treatment of hemoptysis. His therapy for hemoptysis was clearing heat and moistening lung, dispel heat from blood to stop bleeding, and enriching yin and blood. And we can also make a conclusion that the TCM inheritance support system is of great practical value for minning the old doctors' clinical experiences.
Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Hemoptysis ; drug therapy ; Humans ; Practice Patterns, Physicians'

Based on the data mining methods of association rules and clustering algorithm, the 188 prescriptions for cough that built by Yan Zhenghua were collected and analyzed to get the frequency of drug usage and the relationship between drugs. From which we could conclude the experiences of Yan Zhenghua for the treatment of cough. The results of the analysis were that 20 core combinations were dig out, such as Bambusae Caulis in Taenias-Almond-Sactmarsh Aster. And there were 10 new prescriptions were found out, such as Sactmarsh Aster-Scutellariae Radix-Album Viscum-Bambusae Caulis in Taenian-Eriobotryae Folium. The results of the analysis were proved that Yan Zhenghua was good at curing cough by using the traditional Chinese medicine that can dispel wind and heat from the body, and remove heat from the lung to relieve cough.
Algorithms ; Cough ; drug therapy ; Data Mining ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Practice Patterns, Physicians'

Data mining, as known as knowledge discovery in databases, is a non-trivial process of revealing the implied, previously unknown and potentially useful information from the massive data. In recently years, the applications of data mining in the field of pharmaceutical research of traditional Chinese medicine have widespread. Especially in the field of the heritage of experiences of na-tional medical masters, data mining plays an important role. In this study, we would expound of the use of methods of data mining in the heritage of experiences of national medical masters, and analyze their advantages and disadvantages, such as association rules, Bayesian networks, neural networks, and decision trees.
Data Mining ; Databases, Pharmaceutical ; Medicine, Chinese Traditional ; Neural Networks (Computer)

OBJECTIVETo study the effect of Wenmaitong (WMT) and its disassembled formulas on the adhesion of monocytes to endothelial cells induced by hyperlipidemic serum to explore the mechanism of WMT on early arteriosclerosis obliterans (ASO).

METHODSSerums containing whole WMT and its disassembled formulas, including the formula consisted of warming Jing and boosting qi part (Wenjin Yiqi, WY) and that of promoting blood circulation part (Huoxue Tongmai, HT), as well as the serum contained high concentration of lipids were prepared conventionally, respectively. The adhesion of monocytes cell strain THP-1 to human umbilical vascular endothelial cells (HUVEC) was determined by rose bengal stain method, and ELISA was used to detect expressions of intercellular adhesion molecule (ICAM-1), vascular cellular adhesion molecule (VCAM-1) and P-selectin on HUVEC surface.

RESULTSWMT could inhibit THP-1 to HUVEC adhesion induced by hyperlipidemic serum, and down-regulate the expression of ICAM-1, VCAM-1, P-selectin on HUVEC surface, the two disassembled formulas could down-regulate different adhesion molecules.

CONCLUSIONOne mechanism of WMT on ASO may be its inhibition on arteriosclerosis by way of down-regulating the expression of vascular endothelial cells adhesion molecules to decrease the adhesion of monocyte to VEC, therefore to inhibit the monocytes migrating into vascular intima to develop foam cells.

Animals ; Cell Adhesion ; drug effects ; Cell Line ; Down-Regulation ; drug effects ; Drugs, Chinese Herbal ; pharmacology ; Endothelial Cells ; cytology ; drug effects ; metabolism ; Enzyme-Linked Immunosorbent Assay ; Humans ; Hyperlipidemias ; blood ; Intercellular Adhesion Molecule-1 ; biosynthesis ; Male ; Monocytes ; cytology ; drug effects ; metabolism ; Rabbits ; Serum ; Vascular Cell Adhesion Molecule-1 ; biosynthesis