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The Study on the Relationship of Pharmackoingcs and Pharamacodynamics for Stains in Hyperlipidema Model in Rats
Author: LiJingYuan
Tutor: CaiJiaLi
School: Chongqing University of Technology
Course: Microbial and Biochemical Pharmacy
Keywords: Hyperlipidemia Prediction model Pharmacokinetics About effective learning The statins approximately matter
CLC: R96
Type: Master's thesis
Year: 2011
Downloads: 35
Quote: 0
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Abstract
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Many prospects are very promising drugs in pre-clinical stage, often because pharmacokinetic reasons earlier phase-out, early evaluation and prediction of drug preclinical pharmacokinetic pharmacodynamic cPK-PD and other characteristics, the use of in vivo biological indicators ( BioMarker) to predict drug efficacy, and according to the placebo state Bu the treatment of the data to estimate the difference between the treatment group and the placebo group, this is a necessary way of drug research. This experiment is based on the comprehensive utilization of drug molecules in vitro and animal data, individual genetic disease shed relevant molecular biology data, the molecular structure pharmacodynamic correlation, P450 enzymes and drugs on behalf of shad enzyme genotype and phenotype about the metabolism , drug blood concentration of a clinical response correlation relationship dynamics to establish the Translational Medicine mathematical model to establish a unified treatment of the disease model for the forecast series of compounds in vivo pharmacokinetic pharmacodynamic drug development and application characteristics. In the treatment of hyperlipidemia, statins as lipid-lowering drug of choice, when used in accordance with the standard dose, adverse reactions arising from the muscles (myopathy and rhabdomyolysis syndrome) is rare; but with forward to the development of the course of the disease, the dose also will be changed, and adverse reactions studio also showed a certain degree of correlation, this risk varies between the different statins, and in larger doses, and the presence of drugs Interaction was increased. The experiments in a rat model of hyperlipidemia Bu successfully established efficacy pharmacokinetics prediction model based on the level of drug exposure (pharmacokinetic parameters Auc), this model kept pharmacokinetics (Auc) range (0 -10.96 times) (Auc change) good linear relationship, Y = O.0843x 7.5956 (r2 = 0.9477), can predict hyperlipidemia halo pharmacodynamic indicators triglycerides TG relationship between drug exposure level. The biggest advantage of this model is the basis of L know pharmacokinetic data on the efficacy prediction, and research and development staff will be able to quickly determine the R \u0026 D process and formulations demand, the usual dose range of differences between individuals and groups need to be research to determine the value of further research and development, and to guide the formulation Ji hair; series of statin drugs synthetic homologues can predict potential good candidate small molecule compounds screened in advance: As research on the clinical further deepening and improvement of the treatment program can be optimized, and the potential benefits and risks do assessment.
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