Method for predicting clinical pharmacokinetic profiles after oral administration
Project/Area Number |
22590153
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Research Field |
Medical pharmacy
|
Research Institution | Kyoto Pharmaceutical University |
Principal Investigator |
|
Project Period (FY) |
2010-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2014: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2013: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2012: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2011: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2010: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
|
Keywords | 薬物速度論 / モデリング / シミュレーション / 薬物動態 / 予測 / 薬学 / 薬物動態学 / 医療薬学 / 臨床薬理学 / ポピュレーション解析 / コンボリューション / 臨床薬物動態 / 予測分布 |
Outline of Final Research Achievements |
The objective of this study was to develop a modeling and simulation strategy for evaluation of drug absorption profile and for prediction of drug concentration-time curves in human after oral administration. We focused on Tmax and Cmax as easily available pharmacokinetic parameters in animals and human during drug development process, and prediction strategy was constructed by the method of convolution with a use of numerical Laplace transform algorithm. Based on the pharmacokinetic parameters for many drugs in animals and human obtained from literatures, we examined the validity of the prediction strategy and evaluated the predictability. It was suggested that the predictability of the time course profile is dependent on the predictability of Cmax.
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Report
(6 results)
Research Products
(7 results)