Objective To investigate the effect of glucagon-like peptide-1(GLP-1) in a dose related manner on glucose metabolism after 65% hepatectomy in rats.Methods We determined the serum glucose levels of hepatomized rats at 0,5,10,20,and 30 minutes after an intravenous glucose load(IVGTT,0.5 g/kg glucose) on the first postoperative day,and the changes of blood glucose,serum insulin and glucagon concentrations of hepatomized rats that received the volum load with normal saline or 0.3 nmol/kg GLP-1,0.45 nmol/kg GLP-1 respectively.Blood was drawn for determination of glucose(glucose oxidase),insulin,glucagon,and GLP-1(radioimmunoassay).Results The peak glucose and 30-minute glucose levels and the area under the curve(AUC 0-30) were significantly higher in the hepatomized rats compared to the control rats,which had not undergone any operation and received a same intravenous glucose load(0.5 g/kg glucose with normal saline)(P0.05).Nevertheless the peak glucose and 30-minute glucose levels and AUC 0-30 of the hepatomized rats that received with 0.45 nmol/kg GLP-1 were significantly lower compared to the rats that received the same volum load with normal saline or 0.3 nmol/kg GLP-1 respectively after liver resection.There was an increasing postoperative serum concentration of glucose,insulin,glucagon on the first day,then,the serum glucose concentration was significantly lowered after infusion of GLP-1 in rats undergoing hepatectomy(P

In this study, prescriptions were collected to establish a database based on the traditional Chinese medicine inheritance support system (TCMISS). Such data-mining methods as software's statistical statement module, data analysis module and apriori algorithm were used to analyze the frequency of single drug, the frequency of drug combination, the association rules and the core drug combinations of ostreae concha-containing prescriptions. The results showed that Ostreae Concha-containing prescriptions were frequently used to treat insomnia, vertigo, stomach-ache and other syndromes. The frequently used drugs included Ossis Mastodi Fossilia, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix and Paeoniae Rubra Radix. The frequently used drug combinations included "Ostreae Concha and Ossis Mastodi Fossilia", "Ostreae Concha and Parched Ziziphi Spinosae Semen", and "Ostreae Concha and Polygoni Multiflori Caulis". The drug association rules with the confidence coefficient of more than 0. 95 included "Ossis Mastodi Fossilia-->Ostreae Concha", "Cocos Poria-Ossis Mastodi Fossilia-Ostreae Concha", "Ossis Mastodi Fossilia-Parched Ziziphi Spinosae Semen-->Ostreae Concha", and "Salviae Miltiorrhizae Radix-Ossis Mastodi Fossilia--Ostreae Concha".
Animals ; Chemistry, Pharmaceutical ; Data Mining ; Databases, Pharmaceutical ; Drug Prescriptions ; Humans ; Medicine, Chinese Traditional ; methods ; Ostrea ; chemistry ; Physicians ; Software

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'

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'

0.05).Conclusions After hepatectomy,in rats is associated with an obvious insulin resistance,mainly due to the level of serum insulin was obviously decreased(P

The prescriptions including Polygoni Multiflori Caulis that built by Pro. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. The method of association rules with apriori algorithm was used to achieve frequency of single medicine, frequency of drug combinations, association rules between drugs and core drug combinations. The datamining results indicated that in the prescriptions that including Polygoni Multiflori Caulis, the highest frequency used drugs were parched Ziziphi Spinosae Semen, Ostreae Concha, Ossis Mastodi Fossilia, Salviae Miltiorrhizae Radix Et Rhizoma, Paeoniae Rubra Radix, and so on. The most frequent drug combinations were "Polygoni Multiflori Caulis-parched Ziziphi Spinosae Semen", "Ostreae Concha-Polygoni Multiflori Caulis", and "Polygoni Multiflori Caulis-Ossis Mastodi Fossilia". The drug association rules of confidence coefficient 1 were "Ostreae Concha-->Polygoni Multiflori Caulis", "Poria-->Polygoni Multiflori Caulis", "parched Ziziphi Spinosae Semen-->Polygoni Multiflori Caulis", and "Paeoniae Alba Radix-->Polygoni Multiflori Caulis". The core drug combinations in the treatment of insomnia were Ossis Mastodi Fossilia, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix et Rhizoma, Ostreae Concha, Polygalae Radix, Margaritifera Concha, Poria, and parched Ziziphi Spinosae Semen. And the core drug combinations in the treatment of obstruction of Qi in chest were Salviae Miltiorrhizae Radix Et Rhizoma, Polygoni Multiflori Caulis, parched Ziziphi Spinosae Semen, Trichosanthis Fructus, Allii Macrostemonis Bulbus, and Paeoniae Rubra Radix.
Data Mining ; methods ; Drug Combinations ; Drugs, Chinese Herbal ; chemistry ; pharmacology ; Humans ; Medicine, Chinese Traditional ; methods ; Plant Stems ; chemistry ; Polygonaceae ; chemistry ; Prescriptions

Objective To study the feasibility of a novel probe 99Tcm-HYNIC-2(poly-(ethylene glycol),PEG) 4-Dimer (Dimer:E-[c (RGDfK) 2]) as a potential imaging agent for integrin αv β3 positive tumors,and also to observe the influence of an angiogenesis inhibitor,endostar,on the biodistribution and tumor uptake of the tracer in tumor bearing nude mice.Methods The expression of integrin αv β3 in human glioma cells U87MG was determined with immunofluorescence staining before and after treatment with endostar.99Tcm-HYNIC-2PEG4-Dimer was prepared and administered in U87MG tumor bearing mice in 6 h after either administration of endostar (200 μl) or saline (control group) and then biodistribution study was performed.Other 16 mice were divided into endostar treated group (20 mg/kg) and control group (saline) and then gamma imaging was performed in the two groups.Statistical significance of differences between the two groups was assessed using two-sample t test.Results Radiochemical purity of 99Tcm-HYNIC-2PEG4-Dimer was exceeded 95％.The expression of integrin αvβ3 in U87MG cell was high and gradually decreased after treatment with endostar.There was a negative dose-effect relationship between the dose of endostar and the expression of integrin αvβ3 with the peak effect at the dose of 400 μg/ml.The distribution study in vivo showed that the tracer uptake of U87MG tumors was high,but it decreased after injection of endostar.At 90 min,the ％ID/g of endostar and control groups were 1.50±0.08 and 6.27±0.33,respectively (t =40.23,P＜0.05).The average T/NT ratios of 99Tcm-HYNIC-2PEG4-Dimer uptake in the endostar and control groups were 1.02±0.11 and 2.58±0.36,respectively (t =10.25,P＜0.05).The integrin αv β3 positive expression ratios of tumor in endostar and control groups were (33.1 ±2.7) ％ and (81.5±3.2) ％,respectively (t =32.60,P＜0.05).Conclusions The novel probe 99Tcm-HYNIC-2PEG4-Dimer may be a promising radiotracer for integrin αvβ3-positive tumor imaging.It may be used for monitoring the therapeutic effect of endostar and may be potentially used for screening the candidates of anti-angiogenesis therapy.

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'

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)