2006年
Histogram analysis of pharmacokinetic parameters by bootstrap resampling from one-point sampling data in animal experiments
DRUG METABOLISM AND PHARMACOKINETICS
- ,
- ,
- ,
- 巻
- 21
- 号
- 6
- 開始ページ
- 458
- 終了ページ
- 464
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.2133/dmpk.21.458
- 出版者・発行元
- JAP SOC STUDY XENOBIOTICS
A bootstrap method is proposed for assessing statistical histograms of pharmacokinetic parameters (AUC, MRT, CL and V.) from one-point sampling data in animal experiments. A computer program, MOMENT(BS), written in Visual Basic on Microsoft Excel, was developed for the bootstrap calculation and the construction of histograms. MOMENT(BS) was applied to one-point sampling data of the blood concentration of three physiologically active proteins (In-111 labeled Hsp70, Suc(20)-BSA and Suc(40)-BSA) administered in different doses to mice. The histograms of AUC, MRT, CL and V-ss. were close to a normal (Gaussian) distribution with the bootstrap resampling number (200), or more, considering the skewness and kurtosis of the histograms. A good agreement of means and SD was obtained between the bootstrap and Bailer's approaches. The hypothesis test based on the normal distribution clearly demonstrated that the disposition of In-111-Hsp70 and Suc(20)-BSA was almost independent of dose, whereas that of In-111-Suc(40)-BSA was definitely dose-dependent. In conclusion, the bootstrap method was found to be an efficient method for assessing the histogram of pharmacokinetic parameters of blood or tissue disposition data by one-point sampling.
- リンク情報
- ID情報
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- DOI : 10.2133/dmpk.21.458
- ISSN : 1347-4367
- PubMed ID : 17220561
- Web of Science ID : WOS:000250574300002