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房室药代动力学模型卷积的新解析解及其在非生物等效制剂中的应用。

Novel analytical solutions for convolution in compartmental pharmacokinetic models and application to non-bioequivalent formulations.

机构信息

Departamento de Farmacia, Escuela de Química y Farmacia, Facultad de Química y de Farmacia, Pontificia Universidad Católica de Chile, Santiago, 7820436, Chile.

Innovation and Biopharmaceutical Evaluation Center (IBECenter), Santiago, Chile.

出版信息

Eur J Pharm Sci. 2024 Nov 1;202:106892. doi: 10.1016/j.ejps.2024.106892. Epub 2024 Sep 6.

Abstract

Deconvolution and convolution are powerful tools that allow decomposition and reconstruction, respectively, of plasma versus time profiles from input and impulse functions. While deconvolution have commonly used compartmental approaches (e.g., Wagner-Nelson or Loo-Riegelman), convolution most typically used the convolution integral which can be solved with numerical methods. In 2005, an analytical solution for one-compartment pharmacokinetic was proposed and has been widely used ever since. However, to the best of our knowledge, analytical solutions for drugs distributed in more than one compartment have not been reported yet. In this paper, analytical solutions for compartmental convolution from both original and exact Loo-Riegelman approaches were developed and evaluated for different scenarios. While convolution from original approach was slightly more precise than that from the exact Loo-Riegelman, both methods were extremely accurate for reconstruction of plasma profiles after respective deconvolutions. Nonetheless, convolution from exact Loo-Riegelman was easier to interpret and to be manipulated mathematically. In fact, convolution solutions for three and more compartments can be easily written with this approach. Finally, our convolution analytical solution was applied to predict the failure in bioequivalence for levonorgestrel, demonstrating that equations in this paper may be useful tools for pharmaceutical scientists.

摘要

去卷积和卷积是强大的工具,分别允许从输入和脉冲函数中分解和重建血浆随时间的分布。虽然去卷积通常使用隔室方法(例如,Wagner-Nelson 或 Loo-Riegelman),但卷积最常用卷积积分,它可以用数值方法求解。2005 年,提出了一种单隔室药代动力学的解析解,此后一直被广泛应用。然而,据我们所知,尚未报道用于分布在多个隔室的药物的解析解。在本文中,开发并评估了来自原始和精确 Loo-Riegelman 方法的隔室卷积的解析解,用于不同的情况。虽然原始方法的卷积比精确 Loo-Riegelman 的卷积稍微精确一些,但两种方法对于各自去卷积后的血浆分布的重建都非常准确。尽管如此,精确 Loo-Riegelman 的卷积更容易解释和进行数学处理。事实上,用这种方法可以轻松写出三个或更多隔室的卷积解。最后,我们的卷积解析解被应用于预测左炔诺孕酮的生物等效性失败,表明本文中的方程可能是药物科学家的有用工具。

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