MISC

2010年2月

Prediction of pharmacokinetic drug-drug interaction caused by changes in cytochrome P450 activity using in vivo information

Pharmacology and Therapeutics
  • Akihiro Hisaka
  • ,
  • Yoshiyuki Ohno
  • ,
  • Takehito Yamamoto
  • ,
  • Hiroshi Suzuki

125
2
開始ページ
230
終了ページ
248
記述言語
英語
掲載種別
書評論文,書評,文献紹介等
DOI
10.1016/j.pharmthera.2009.10.011

The aim of the present paper was to present an overview of the current status of the methods used to predict the magnitude of pharmacokinetic drug-drug interactions (DDIs) which are caused by apparent changes in cytochrome P450 (CYP) activity with an emphasis on a method using in vivo information. In addition, more than a hundred representative CYP substrates, inhibitor and inducer drugs involved in significant pharmacokinetic DDIs were selected from the literature and are listed. Although the magnitude of DDIs has been conventionally predicted based on in vitro experiments, their predictability is restricted occasionally due to several difficulties, including a precise determination of the unbound inhibitor concentrations at the enzyme site and a reliable in vitro measurement of the inhibition constant (Ki). Alternatively, a simple method has been recently proposed for the prediction of the magnitude of DDIs based on information fully available from in vivo clinical studies. The new in vivo-based method would be applicable to the adjustment of dose regimens in actual pharmacotherapy situations although it requires a prior clinical study for the prediction. In this review, theoretical and quantitative relationships between the in vivo- and the in vitro-based prediction methods are considered. One of the interesting outcomes of the consideration is that the Ki-normalized dose (dose/in vitro Ki) of larger than approximately 20L (2-200L, when variability is considered) may be a pragmatic index which predicts significant in vivo DDIs. In the last part of the article, the relevance of the inclusion of the in vivo-based method into the process of new drug development is discussed for good prediction of in vivo DDIs. © 2009 Elsevier Inc.

リンク情報
DOI
https://doi.org/10.1016/j.pharmthera.2009.10.011
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/19951720

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