Steady-state volume of distribution of two-compartment models with simultaneous linear and saturated elimination
Steady-state volume of distribution of two-compartment models with simultaneous linear and saturated elimination
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同时线性和饱和消除的两室模型的稳态分布体积
DOI：
10.1007/s10928-016-9483-z
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发表时间：
2016-07
影响因子：
2.5
通讯作者：
Jun Li
中科院分区：
文献类型：
--
作者：
Xiaotian Wu;Fahima Nekka;Jun Li
生理稳态分布体积(Vdss，p)的独立于模型的估计，通常被称为非隔室分析(NCA)，历史上是基于中心消除的线性隔室模型结构。然而，基于NCA的稳态分布体积(VDSS，NCA)不能推广到更复杂的模型。本文研究同时具有一阶消去法和Michaelis-Menten消去法的两室模型。特别地，研究了两个不可区分的模型M1和M2，它们都具有中心Michaelis-Menten消元，而一阶消元只存在于中心隔室或外围隔室。推导了基于模型的分布Vdss，Mi(i=1，2)的稳态体积表达式及其与基于NCA的Vdss；NCA的关系。公式中明确描述了非线性和边缘消除的影响。考虑到模型的可辨识性和不可区分性问题，提出了Vdss，p的区间估计。
The model-independent estimation of physiological steady-state volume of distribution (Vdss,p), often referred to non-compartmental analysis (NCA), is historically based on the linear compartment model structure with central elimination. However the NCA-based steady-state volume of distribution (Vdss,nca) cannot be generalized to more complex models. In the current paper, two-compartment models with simultaneous first-order and Michaelis–Menten elimination are considered. In particular, two indistinguishable models M1 and M2, both having central Michaelis–Menten elimination, while first-order elimination exclusively either from central or peripheral compartment, are studied. The model-based expressions of the steady-state volumes of distribution Vdss,Mi (i=1,2) and their relationships to NCA-based Vdss;nca are derived. The impact of non-linearity and peripheral elimination is explicitly delineated in the formulas. Being concerned with model identifiability and indistinguishability issues, an interval estimate of Vdss,p is suggested.
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DOI：
10.1007/s10928-014-9370-4
发表时间：
2014-08-01
影响因子：
2.5
作者：
Schmidt, Henning;Radivojevic, Andrijana
通讯作者：
Radivojevic, Andrijana
影响因子：
3.7
作者：
Wang, Yow-Ming C.;Sloey, Bethlyn;Sun, Yu-Nien
通讯作者：
Sun, Yu-Nien
影响因子：
8.5
作者：
Markus Scholz;Christoph Engel;D. Apt;S. L. Sankar;E. Goldstein;Markus Loeffler
通讯作者：
Markus Scholz;Christoph Engel;D. Apt;S. L. Sankar;E. Goldstein;Markus Loeffler
DOI：
10.1007/bf02353330
发表时间：
1994-06
期刊：
Journal of Pharmacokinetics and Biopharmaceutics
影响因子：
--
作者：
K. Godfrey;M. J. Chapman;S. Vajda
通讯作者：
K. Godfrey;M. J. Chapman;S. Vajda
影响因子：
--
作者：
Scholz M;Schirm S;Wetzler M;Engel C;Loeffler M
通讯作者：
Loeffler M