Literature DB >> 20886267

Fractional kinetics in multi-compartmental systems.

Aristides Dokoumetzidis1, Richard Magin, Panos Macheras.   

Abstract

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 α < 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.

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Year:  2010        PMID: 20886267     DOI: 10.1007/s10928-010-9170-4

Source DB:  PubMed          Journal:  J Pharmacokinet Pharmacodyn        ISSN: 1567-567X            Impact factor:   2.745


  10 in total

1.  The anomalous pharmacokinetics of amiodarone explained by nonexponential tissue trapping.

Authors:  M Weiss
Journal:  J Pharmacokinet Biopharm       Date:  1999-08

2.  Fractional dynamics pharmacokinetics-pharmacodynamic models.

Authors:  Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-05-09       Impact factor: 2.745

3.  Fractal pharmacokinetics.

Authors:  Luis M Pereira
Journal:  Comput Math Methods Med       Date:  2010-06       Impact factor: 2.238

4.  A commentary on fractionalization of multi-compartmental models.

Authors:  Aristides Dokoumetzidis; Richard Magin; Panos Macheras
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-04-10       Impact factor: 2.745

5.  Power law IVIVC: an application of fractional kinetics for drug release and absorption.

Authors:  John Kytariolos; Aristides Dokoumetzidis; Panos Macheras
Journal:  Eur J Pharm Sci       Date:  2010-07-03       Impact factor: 4.384

6.  Fractional kinetics in drug absorption and disposition processes.

Authors:  Aristides Dokoumetzidis; Panos Macheras
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-04-02       Impact factor: 2.745

7.  A new approach to the compartmental analysis in pharmacokinetics: fractional time evolution of diclofenac.

Authors:  Jovan K Popović; Milica T Atanacković; Ana S Pilipović; Milan R Rapaić; Stevan Pilipović; Teodor M Atanacković
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-01-14       Impact factor: 2.745

8.  Pharmacokinetic curve fitting using numerical inverse Laplace transformation.

Authors:  M Schalla; M Weiss
Journal:  Eur J Pharm Sci       Date:  1999-03       Impact factor: 4.384

9.  Fractional compartmental models and multi-term Mittag-Leffler response functions.

Authors:  Davide Verotta
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-04-20       Impact factor: 2.745

10.  Amiodarone pharmacokinetics.

Authors:  D W Holt; G T Tucker; P R Jackson; G C Storey
Journal:  Am Heart J       Date:  1983-10       Impact factor: 4.749

  10 in total
  14 in total

1.  Individualization of a pharmacokinetic model by fractional and nonlinear fit improvement.

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Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-05-23       Impact factor: 2.441

2.  Exponential tails of drug disposition curves: reality or appearance?

Authors:  Michael Weiss
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-12-13       Impact factor: 2.745

3.  How to avoid unbounded drug accumulation with fractional pharmacokinetics.

Authors:  Maud Hennion; Emmanuel Hanert
Journal:  J Pharmacokinet Pharmacodyn       Date:  2013-12       Impact factor: 2.745

4.  Cloxacillin concentrations in serum, subcutaneous fat, and muscle in patients with chronic critical limb ischemia.

Authors:  T B Jonsson; T K Nilsson; L H Breimer; J Schneede; B Arfvidsson; L Norgren
Journal:  Eur J Clin Pharmacol       Date:  2014-05-27       Impact factor: 2.953

5.  The changing face of the rate concept in biopharmaceutical sciences: from classical to fractal and finally to fractional.

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Journal:  Pharm Res       Date:  2011-01-25       Impact factor: 4.200

6.  FRACTIONAL INTEGRATION TOOLBOX.

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Journal:  Fract Calc Appl Anal       Date:  2013-09       Impact factor: 3.126

Review 7.  Diffusion through skin in the light of a fractional derivative approach: progress and challenges.

Authors:  Michele Caputo; Cesare Cametti
Journal:  J Pharmacokinet Pharmacodyn       Date:  2020-09-04       Impact factor: 2.745

8.  Fractional calculus in pharmacokinetics.

Authors:  Pantelis Sopasakis; Haralambos Sarimveis; Panos Macheras; Aristides Dokoumetzidis
Journal:  J Pharmacokinet Pharmacodyn       Date:  2017-10-03       Impact factor: 2.745

9.  A nonlinear two compartmental fractional derivative model.

Authors:  Jovan K Popović; Diana Dolićanin; Milan R Rapaić; Stevan L Popović; Stevan Pilipović; Teodor M Atanacković
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2011-07-30       Impact factor: 2.441

10.  Plasma Distribution of Methotrexate and Its Polyglutamates in Pediatric Acute Lymphoblastic Leukemia: Preliminary Insights.

Authors:  Ivana Rajšić; Slavica Lazarević; Maja Đanić; Hani Al-Salami; Armin Mooranian; Saša Vukmirović; Momir Mikov; Svetlana Goločorbin-Kon
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2021-10-12       Impact factor: 2.441

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