Histogram Analysis of Pharmacokinetic Parameters by Bootstrap Resampling from One-point Sampling Data in Animal Experiments

• TAKEMOTO Seiji

  Department of Biopharmaceutics and Drug Metabolism, Graduate School of Pharmaceutical Science, Kyoto University

• YAMAOKA Kiyoshi

  Department of Biopharmaceutics and Drug Metabolism, Graduate School of Pharmaceutical Science, Kyoto University

• NISHIKAWA Makiya

  Department of Biopharmaceutics and Drug Metabolism, Graduate School of Pharmaceutical Science, Kyoto University

• TAKAKURA Yoshinobu

  Department of Biopharmaceutics and Drug Metabolism, Graduate School of Pharmaceutical Science, Kyoto University

抄録

  A bootstrap method is proposed for assessing statistical histograms of pharmacokinetic parameters (AUC, MRT, CL and V_ss) 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 (¹¹¹In labeled Hsp70, Suc₂₀-BSA and Suc₄₀-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 ¹¹¹In-Hsp70 and Suc₂₀-BSA was almost independent of dose, whereas that of ¹¹¹In-Suc₄₀-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.<br>

収録刊行物

• Ｄｒｕｇ　Ｍｅｔａｂｏｌｉｓｍ　ａｎｄ　Ｐｈａｒｍａｃｏｋｉｎｅｔｉｃｓ

  Ｄｒｕｇ　Ｍｅｔａｂｏｌｉｓｍ　ａｎｄ　Ｐｈａｒｍａｃｏｋｉｎｅｔｉｃｓ 21 (6), 458-464, 2006

  日本薬物動態学会

キーワード

• bootstrap method
• pharmacokinetics
• histogram analysis
• hypothesis testing
• sparse sampling
• Monte Carlo

詳細情報

• CRID: 1390001205180237824
• NII論文ID: 10018658897
• NII書誌ID: AA1162652X
• DOI: 10.2133/dmpk.21.458
• COI: 1:CAS:528:DC%2BD2sXis12jur4%3D
• ISSN: 18800920
• ISSN: 13474367
• Web Site: http://api.elsevier.com/content/article/PII:S1347436715307187?httpAccept=text/xml
• Web Site: http://api.elsevier.com/content/article/PII:S1347436715307187?httpAccept=text/plain
• Web Site: https://search.jamas.or.jp/link/ui/2007201989
• 本文言語コード: en
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可