Ridgway D, Tuszynski J A, Tam Y K
Kinetana Group Inc., 9650 - 20 Ave., Edmonton, AB T6N 1G1.
J Biol Phys. 2003 Mar;29(1):1-21. doi: 10.1023/A:1022531403741.
The aim of this investigation is to compare different mathematical models of the liver in the context of in vitro-in vivo correlation. We reanalyze drugs from the Houston reviews [1, 2], and compare the mathematical models. For the well-stirred model, a particular form of the distributed tubes model, and the dispersion model, fits are done to in vitro and in vivo intrinsic clearance data from microsomal and hepatocyte experiments. The distributed and dispersion models have decreased residuals as compared to the well-stirred model, but neither is to be clearly preferred over theother. It seems likely that drug-specific factors have a major impact on the quality of IVIVC correlations. While new experiments are needed to validate IVIVC models, our results indicate that improved correlation of in vitroand in vivo data is possible for high clearance drugs by using either a dispersion or distributed tube model rather than a well-stirred model.
本研究的目的是在体外-体内相关性的背景下比较不同的肝脏数学模型。我们重新分析了休斯顿综述[1,2]中的药物,并比较了这些数学模型。对于充分搅拌模型、分布式管道模型的一种特殊形式以及弥散模型,将其与微粒体和肝细胞实验的体外和体内固有清除率数据进行拟合。与充分搅拌模型相比,分布式模型和弥散模型的残差有所降低,但两者都没有明显优于对方。药物特异性因素似乎对体外-体内相关性模型的质量有重大影响。虽然需要新的实验来验证体外-体内相关性模型,但我们的结果表明,对于高清除率药物,使用弥散模型或分布式管道模型而非充分搅拌模型可以改善体外和体内数据的相关性。