By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentratio...By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentration-time in blood and target organ by computing were figured out. The drug concentration-time curve for target organ can be plotted with reference to the data of drug concentration in blood according to the model. The pharmacokinetic parameters of the drug in target organ could also be obtained. The practicability of the model was further checked by the curves of drug concentration-time in blood and target organ(liver) of liver-targeting nanoparticles in animal tests. Based on the liver drug concentration-time curves calculated by the function formula of the drug in target organ, the pharmacokinetic behavior of the drug in target organ(liver) was analyzed by statistical moment, and its pharmacokinetic parameters in liver were obtained. It is suggested that the (relative targeting index( can be used for quantitative evaluation of the targeting drug delivery systems.展开更多
Multi-kernel-based support vector machine （SVM） model structure of nonlinear systems and its specific identification method is proposed, which is composed of a SVM with linear kernel function followed in series by a...Multi-kernel-based support vector machine （SVM） model structure of nonlinear systems and its specific identification method is proposed, which is composed of a SVM with linear kernel function followed in series by a SVM with spline kernel function. With the help of this model, nonlinear model predictive control can be transformed to linear model predictive control, and consequently a unified analytical solution of optimal input of multi-step-ahead predictive control is possible to derive. This algorithm does not require online iterative optimization in order to be suitable for real-time control with less calculation. The simulation results of pH neutralization process and CSTR reactor show the effectiveness and advantages of the presented algorithm.展开更多
AIM To evaluate associations between mi RNA target genes IL12B,INSR,CCND1 and IL10 polymorphisms and gastric cancer(GC)in European population.METHODS Gene polymorphisms were analyzed in 508 controls and474 GC patients...AIM To evaluate associations between mi RNA target genes IL12B,INSR,CCND1 and IL10 polymorphisms and gastric cancer(GC)in European population.METHODS Gene polymorphisms were analyzed in 508 controls and474 GC patients from 3 tertiary centers in Germany,Lithuania and Latvia.Controls were patients from the out-patient departments,who were referred for upper endoscopy because of dyspeptic symptoms and had no history of previous malignancy.Gastric cancer(GC)patients had histopathological verification of gastric adenocarcinoma.Genomic DNA was extracted using salting out method from peripheral blood mononuclear cells.IL12B T>G(rs1368439),INSR T>C(rs1051690),CCND1 A>C(rs7177)and IL10 T>C(rs3024498)SNPs were genotyped by the real-time polymerase chain reaction.Associations between gene polymorphism and GC were evaluated using multiple logistic regression analysis with adjustment for sex,age and country of birth.RESULTS We observed similar distribution of genotypes and allelic frequencies of all polymorphisms between GC patients and controls except of INSR rs1051690.The frequency of the T allele of INSR gene was significantly higher in GC patients than in controls(23.26%and 19.19%respectively,P=0.028).CT genotype was also more prevalent in patients compared to control group(38.48%and 30.12%respectively,P<0.021).Logistic regression analysis revealed that only one polymorphism(rs1051690 in INSR gene)was associated with increased risk of GC.Carriers of CT genotype had higher odds of GC when compared to CC genotype(OR=1.45,95%PI:1.08-1.95,P=0.01).Similar association was observed in a dominant model for INSR gene,where comparison of TT+CT vs CC genotypes showed an increased risk of GC(OR=1.44,95%PI:1.08-1.90,P=0.01).Other analyzed SNPs were not associated with the presence of GC.CONCLUSION INSR rs1051690 SNP is associated with increased risk of GC,while polymorphisms in IL12B,CCND1 and IL10genes are not linked with the presence of GC.展开更多
文摘By analyzing the observed phenomena and the data collected in the study, a multi-compartment linear circulation model for targeting drug delivery system was developed and the function formulas of the drug concentration-time in blood and target organ by computing were figured out. The drug concentration-time curve for target organ can be plotted with reference to the data of drug concentration in blood according to the model. The pharmacokinetic parameters of the drug in target organ could also be obtained. The practicability of the model was further checked by the curves of drug concentration-time in blood and target organ(liver) of liver-targeting nanoparticles in animal tests. Based on the liver drug concentration-time curves calculated by the function formula of the drug in target organ, the pharmacokinetic behavior of the drug in target organ(liver) was analyzed by statistical moment, and its pharmacokinetic parameters in liver were obtained. It is suggested that the (relative targeting index( can be used for quantitative evaluation of the targeting drug delivery systems.
基金Supported by the State Key Development Program for Basic Research of China （No.2002CB312200） and the National Natural Science Foundation of China （No.60574019）.
文摘Multi-kernel-based support vector machine （SVM） model structure of nonlinear systems and its specific identification method is proposed, which is composed of a SVM with linear kernel function followed in series by a SVM with spline kernel function. With the help of this model, nonlinear model predictive control can be transformed to linear model predictive control, and consequently a unified analytical solution of optimal input of multi-step-ahead predictive control is possible to derive. This algorithm does not require online iterative optimization in order to be suitable for real-time control with less calculation. The simulation results of pH neutralization process and CSTR reactor show the effectiveness and advantages of the presented algorithm.
基金Supported by Lithuanian Research Council Grant,No.MIP-14418
文摘AIM To evaluate associations between mi RNA target genes IL12B,INSR,CCND1 and IL10 polymorphisms and gastric cancer(GC)in European population.METHODS Gene polymorphisms were analyzed in 508 controls and474 GC patients from 3 tertiary centers in Germany,Lithuania and Latvia.Controls were patients from the out-patient departments,who were referred for upper endoscopy because of dyspeptic symptoms and had no history of previous malignancy.Gastric cancer(GC)patients had histopathological verification of gastric adenocarcinoma.Genomic DNA was extracted using salting out method from peripheral blood mononuclear cells.IL12B T>G(rs1368439),INSR T>C(rs1051690),CCND1 A>C(rs7177)and IL10 T>C(rs3024498)SNPs were genotyped by the real-time polymerase chain reaction.Associations between gene polymorphism and GC were evaluated using multiple logistic regression analysis with adjustment for sex,age and country of birth.RESULTS We observed similar distribution of genotypes and allelic frequencies of all polymorphisms between GC patients and controls except of INSR rs1051690.The frequency of the T allele of INSR gene was significantly higher in GC patients than in controls(23.26%and 19.19%respectively,P=0.028).CT genotype was also more prevalent in patients compared to control group(38.48%and 30.12%respectively,P<0.021).Logistic regression analysis revealed that only one polymorphism(rs1051690 in INSR gene)was associated with increased risk of GC.Carriers of CT genotype had higher odds of GC when compared to CC genotype(OR=1.45,95%PI:1.08-1.95,P=0.01).Similar association was observed in a dominant model for INSR gene,where comparison of TT+CT vs CC genotypes showed an increased risk of GC(OR=1.44,95%PI:1.08-1.90,P=0.01).Other analyzed SNPs were not associated with the presence of GC.CONCLUSION INSR rs1051690 SNP is associated with increased risk of GC,while polymorphisms in IL12B,CCND1 and IL10genes are not linked with the presence of GC.
