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生理药动学模型预测扑热息痛的人体血药浓度 被引量:1

Prediction of drug plasma concentrations in human by a physiologically based pharmacokinetic model for Paracetamol in rats
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摘要 目的:建立扑热息痛在大鼠体内的血流限速生理模型,预测其在人体内的血药浓度。方法:根据药物在体内血流限速的转运特征,基于acslXtreme环境搭建生理药动学模型的仿真模拟平台;搜集大鼠、人的生理参数,结合文献报道中的数据,验证模型的有效性,进而代入人的生理参数预测药物在人体血液中的经时变化,并与已发表文献数据进行比较验证模型推广的可行性。结果:建立了1个五室血流限速模型,预测值与文献报道值相关性良好。结论:模型可以准确预测扑热息痛在大鼠的药时过程,但模型外推至人还需要进一步对模型结构和参数进行调整和优化。 Objective: To estimate Paracetamol plasma concentration in human by establishing a flow - limited physiologically- based pharmacokinetic (PBPK) model in rats. Methods: According to blood per'fu- sion limitation characteristics, we established a platform based on acslXtreme modeling and analysis system to simulate physiological - based pharmacokinetic flow using PBPK model. Data on physiological parameters were collected in rats and human. Validity of the model was assessed by comparing the findings from current study and previous studies. Then, the human physiological parameters were put into the model to predict dynamic precess of Paracetamol plasma concentration. Results: A PBPK model representing five organs/tissues for Paracetamol was developed. The predicted values by the model were comparable to the findings in published literatures. Conclusion: The model could predict the drug concentration - time process of Paracetamol in rats accurately. However to apply to human, the structure and parameters of the model need further modification and optimization.
出处 《黔南民族医专学报》 2013年第1期1-5,共5页 Journal of Qiannan Medical College for Nationalities
关键词 扑热息痛 生理药动学模型 大鼠 预测 Paracetamol Physiologically Based Pharmacokinetic model Human Rats Prediction
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