Literature DB >> 19340400

Fractional kinetics in drug absorption and disposition processes.

Aristides Dokoumetzidis1, Panos Macheras.   

Abstract

We explore the use of fractional order differential equations for the analysis of datasets of various drug processes that present anomalous kinetics, i.e. kinetics that are non-exponential and are typically described by power-laws. A fractional differential equation corresponds to a differential equation with a derivative of fractional order. The fractional equivalents of the "zero-" and "first-order" processes are derived. The fractional zero-order process is a power-law while the fractional first-order process is a Mittag-Leffler function. The latter behaves as a stretched exponential for early times and as a power-law for later times. Applications of these two basic results for drug dissolution/release and drug disposition are presented. The fractional model of dissolution is fitted successfully to datasets taken from literature of in vivo dissolution curves. Also, the proposed pharmacokinetic model is fitted to a dataset which exhibits power-law terminal phase. The Mittag-Leffler function describes well the data for small and large time scales and presents an advantage over empirical power-laws which go to infinity as time approaches zero. The proposed approach is compared conceptually with fractal kinetics, an alternative approach to describe datasets with non exponential kinetics. Fractional kinetics offers an elegant description of anomalous kinetics, with a valid scientific basis, since it has already been applied in problems of diffusion in other fields, and describes well the data.

Mesh:

Substances:

Year:  2009        PMID: 19340400     DOI: 10.1007/s10928-009-9116-x

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


  21 in total

1.  Use of fractal geometry to determine effects of surface morphology on drug dissolution.

Authors:  D Farin; D Avnir
Journal:  J Pharm Sci       Date:  1992-01       Impact factor: 3.534

2.  Fractal reaction kinetics.

Authors:  R Kopelman
Journal:  Science       Date:  1988-09-23       Impact factor: 47.728

3.  1. Commentary on an exponential model for the analysis of drug delivery: Original research article: a simple equation for description of solute release: I II. Fickian and non-Fickian release from non-swellable devices in the form of slabs, spheres, cylinders or discs, 1987.

Authors:  Nicholas A Peppas
Journal:  J Control Release       Date:  2014-09-28       Impact factor: 9.776

4.  Theoretical model for the interpretation of BMD scans in patients stopping strontium ranelate treatment.

Authors:  Glen M Blake; Ignac Fogelman
Journal:  J Bone Miner Res       Date:  2006-09       Impact factor: 6.741

Review 5.  Fractional calculus in bioengineering, part 3.

Authors:  Richard L Magin
Journal:  Crit Rev Biomed Eng       Date:  2004

6.  Amiodarone disposition: polyexponential, power and gamma functions.

Authors:  G T Tucker; P R Jackson; G C Storey; D W Holt
Journal:  Eur J Clin Pharmacol       Date:  1984       Impact factor: 2.953

7.  Linearization of dissolution rate curves by the Weibull distribution.

Authors:  F Langenbucher
Journal:  J Pharm Pharmacol       Date:  1972-12       Impact factor: 3.765

Review 8.  Fractional calculus in bioengineering.

Authors:  Richard L Magin
Journal:  Crit Rev Biomed Eng       Date:  2004

Review 9.  Fractional calculus in bioengineering, part 2.

Authors:  Richard L Magin
Journal:  Crit Rev Biomed Eng       Date:  2004

10.  Fractal michaelis-menten kinetics under steady state conditions: Application to mibefradil.

Authors:  Rebeccah E Marsh; Jack A Tuszyński
Journal:  Pharm Res       Date:  2006-10-25       Impact factor: 4.580

View more
  18 in total

1.  Fractional dynamics pharmacokinetics-pharmacodynamic models.

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

2.  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

3.  Fractional kinetics in multi-compartmental systems.

Authors:  Aristides Dokoumetzidis; Richard Magin; Panos Macheras
Journal:  J Pharmacokinet Pharmacodyn       Date:  2010-10-01       Impact factor: 2.745

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

Authors:  Jovan K Popović; Mihalj Poša; Kosta J Popović; Dušica J Popović; Nataša Milošević; Vesna Tepavčević
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-05-23       Impact factor: 2.441

5.  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

6.  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

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

Authors:  Aristides Dokoumetzidis; Panos Macheras
Journal:  Pharm Res       Date:  2011-01-25       Impact factor: 4.200

Review 8.  Monte Carlo simulations in drug release.

Authors:  Kosmas Kosmidis; George Dassios
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-18       Impact factor: 2.745

9.  Panos Macheras: a pioneering scientist in pharmaceutical science.

Authors:  Laszlo Endrenyi; Robert R Bies
Journal:  J Pharmacokinet Pharmacodyn       Date:  2019-03-28       Impact factor: 2.745

Review 10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.