Fractional kinetics in multi-compartmental systems

被引:93
|
作者
Dokoumetzidis, Aristides [1 ]
Magin, Richard [2 ]
Macheras, Panos [1 ]
机构
[1] Univ Athens, Sch Pharm, GR-15771 Athens, Greece
[2] Univ Illinois, Dept Bioengn, Chicago, IL USA
关键词
Compartmental analysis; Numerical solutions; Fractional differential equations; Parameter estimation; NUMERICAL INVERSION; PHARMACOKINETICS;
D O I
10.1007/s10928-010-9170-4
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Fractional calculus, the branch of calculus dealing with derivatives of non-integer order (e.g., the half-derivative) allows the formulation of fractional differential equations (FDEs), which have recently been applied to pharmacokinetics (PK) for one-compartment models. In this work we extend that theory to multi-compartmental models. Unlike systems defined by a single ordinary differential equation (ODE), considering fractional multi-compartmental models is not as simple as changing the order of the ordinary derivatives of the left-hand side of the ODEs to fractional orders. The latter may produce inconsistent systems which violate mass balance. We present a rationale for fractionalization of ODEs, which produces consistent systems and allows processes of different fractional orders in the same system. We also apply a method of solving such systems based on a numerical inverse Laplace transform algorithm, which we demonstrate that is consistent with analytical solutions when these are available. As examples of our approach, we consider two cases of a basic two-compartment PK model with a single IV dose and multiple oral dosing, where the transfer from the peripheral to the central compartment is of fractional order alpha < 1, accounting for anomalous kinetics and deep tissue trapping, while all other processes are of the usual order 1. Simulations with the studied systems are performed using the numerical inverse Laplace transform method. It is shown that the presence of a transfer rate of fractional order produces a non-exponential terminal phase, while multiple dose and constant infusion systems never reach steady state and drug accumulation carries on indefinitely. The IV fractional system is also fitted to PK data and parameter values are estimated. In conclusion, our approach allows the formulation of systems of FDEs, mixing different fractional orders, in a consistent manner and also provides a method for the numerical solution of these systems.
引用
收藏
页码:507 / 524
页数:18
相关论文
共 50 条
  • [31] Multi-Compartmental Hydrogel Microparticles Fabricated by Combination of Sequential Electrospinning and Photopatterning
    Cho, Kanghee
    Lee, Hyun Jong
    Han, Sang Won
    Min, Ji Hong
    Park, Hansoo
    Koh, Won-Gun
    ANGEWANDTE CHEMIE-INTERNATIONAL EDITION, 2015, 54 (39) : 11511 - 11515
  • [32] Coupled and uncoupled dynamic mode decomposition in multi-compartmental systems with applications to epidemiological and additive manufacturing problems
    Viguerie, Alex
    Barros, Gabriel F.
    Grave, Malu
    Reali, Alessandro
    Coutinho, Alvaro L. G. A.
    COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2022, 391
  • [33] Multi-compartmental toxicokinetic modeling of fipronil in tilapia: Accumulation, biotransformation and elimination
    Li, Huizhen
    You, Jing
    Wang, Wen-Xiong
    JOURNAL OF HAZARDOUS MATERIALS, 2018, 360 : 420 - 427
  • [34] Controllable multi-compartmental capsules with distinct cores and shells for synergistic release
    He, Fan
    Wang, Wei
    He, Xiao-Heng
    Yang, Xiu-Lan
    Li, Ming
    Xie, Rui
    Ju, Xiao-Jie
    Liu, Zhuang
    Chu, Liang-Yin
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2017, 253
  • [35] Comparison of Reconstruction Methods for Multi-compartmental Model in Diffusion Tensor Imaging
    Shakya, Snehlata
    Kumar, Sanjeev
    PROCEEDINGS OF 3RD INTERNATIONAL CONFERENCE ON COMPUTER VISION AND IMAGE PROCESSING, CVIP 2018, VOL 2, 2020, 1024 : 461 - 469
  • [36] Dynamic multi-compartmental modelling of metal bioaccumulation in fish: Identifiability implications
    Otero-Muras, I.
    Franco-Uria, A.
    Alonso, A. A.
    Balsa-Canto, E.
    ENVIRONMENTAL MODELLING & SOFTWARE, 2010, 25 (03) : 344 - 353
  • [37] Degeneracy in model parameter estimation for multi-compartmental diffusion in neuronal tissue
    Jelescu, Ileana O.
    Veraart, Jelle
    Fieremans, Els
    Novikov, Dmitry S.
    NMR IN BIOMEDICINE, 2016, 29 (01) : 33 - 47
  • [38] FENTANYL DELIVERY OPTIMIZATION USING MARKOV CHAIN MULTI-COMPARTMENTAL MODEL
    Pranevicius, Henrikas
    Pranevicius, Mindaugas
    Pranevicius, Osvaldas
    Snipas, Mindaugas
    EUROPEAN SIMULATION AND MODELLING CONFERENCE 2013, 2013, : 34 - 38
  • [39] A fully dynamic multi-compartmental poroelastic system: Application to aqueductal stenosis
    Chou, Dean
    Vardakis, John C.
    Guo, Liwei
    Tully, Brett J.
    Ventikos, Yiannis
    JOURNAL OF BIOMECHANICS, 2016, 49 (11) : 2306 - 2312
  • [40] Multi-compartmental reconstruction and simulations of an entire module of the mouse cerebellar cortex
    De Schepper, Robin
    Geminiani, Alice
    Casellato, Claudia
    Masoli, Stefano
    Rizza, Martina
    Antonietti, Alberto
    D'Angelo, Egidio
    JOURNAL OF COMPUTATIONAL NEUROSCIENCE, 2023, 51 : S34 - S34