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

IF 4.3 3区 医学 Q1 PHARMACOLOGY & PHARMACY European Journal of Pharmaceutical Sciences Pub Date : 2024-09-06 DOI:10.1016/j.ejps.2024.106892
Mauricio A. García , Pablo M. González , Alexis Aceituno , Jozef Al-Gousous
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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.

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分区药代动力学模型中卷积的新分析解决方案及其在非生物等效制剂中的应用。
解卷积和卷积是强大的工具,可分别从输入和脉冲函数分解和重建等离子体与时间的关系曲线。解卷积通常使用分室方法(如瓦格纳-纳尔逊法或卢-里格曼法),而卷积最常用的是卷积积分,可以用数值方法求解。2005 年,有人提出了单室药代动力学的分析解法,此后一直被广泛使用。然而,据我们所知,目前还没有关于药物分布于多个隔室的分析解法的报道。本文开发了原始方法和精确 Loo-Riegelman 方法的隔室卷积分析解决方案,并针对不同情况进行了评估。虽然原始方法的卷积比精确 Loo-Riegelman 方法的卷积稍微精确一些,但两种方法在各自解卷积后重建等离子体剖面时都非常精确。不过,精确 Loo-Riegelman 卷积法更易于解释和数学处理。事实上,用这种方法很容易写出三个或更多隔室的卷积解。最后,我们的卷积分析解决方案被用于预测左炔诺孕酮生物等效性的失败,这表明本文中的方程可能是制药科学家的有用工具。
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来源期刊
CiteScore
9.60
自引率
2.20%
发文量
248
审稿时长
50 days
期刊介绍: The journal publishes research articles, review articles and scientific commentaries on all aspects of the pharmaceutical sciences with emphasis on conceptual novelty and scientific quality. The Editors welcome articles in this multidisciplinary field, with a focus on topics relevant for drug discovery and development. More specifically, the Journal publishes reports on medicinal chemistry, pharmacology, drug absorption and metabolism, pharmacokinetics and pharmacodynamics, pharmaceutical and biomedical analysis, drug delivery (including gene delivery), drug targeting, pharmaceutical technology, pharmaceutical biotechnology and clinical drug evaluation. The journal will typically not give priority to manuscripts focusing primarily on organic synthesis, natural products, adaptation of analytical approaches, or discussions pertaining to drug policy making. Scientific commentaries and review articles are generally by invitation only or by consent of the Editors. Proceedings of scientific meetings may be published as special issues or supplements to the Journal.
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